ChatGPT Prompt Engineering with 2100+ Prompts (Copy & Paste)

1. About Course Instructor and Course Content: Hi there. My name is Lisa Melinda Dickey. I'm a Data Science author and I've been teaching online since 2016. And I want to say that I'm enjoying this journey. Check Deputy is an AI tool and it is changing the world. And in the future, everyone will be using tools like cheddar deputy to make their life easy. But to use a check zippity like a pro, you will have pulled on prompting Hillary. So in this course, you will understand the most important Frumkin techniques and many other things related to track zippity prompt engineering. Also, if you face any problems or any questions in your mind, welcome to the course content. Then you can message me anytime. In the first section of the course, you will find a prompts listed and how to use that list. Then we will move on to the limitations of food jags equity and lastly, the future of food jobs. So that is going to change you due to automation. After that to the second section covers all the prompting techniques and some important things about prompt engineering. Like incorrect two ways to prompt him, challenges and best practices, when to use and the differences between prompting techniques. Also, small projectile that will help you improve your prompting escapes. Then in the third section, I will talk about to how to create a perfect prompt. In this section, I will cover the structure of a perfect prompt two and the tools. So that makes a prompt to perfect like contextual background. So cramped output format, so Industries, verb Sue, types of costumers and so on. Also, you will get all this information is stored in a Word document file and you can very easily downloaded from resources. After that, in the fourth section, I will talk about how to use an expert. So persona, these are real person by using the name of that person. And a thank you note to width course closing lecture. And in the final section after the closing lecture, you will find frequently asked questions and a specific use cases. Everything in this course will give you an idea about how to use it in a better way. So thanks for watching this lecture and enrolling in the course. I'll see you in the next lecture. 2. List of Prompts and How to use it: Hi, welcome to this lecture. In this lecture, I will show you how you can use the list of prompts. This is the index page and you can easily go to the section you want to, let say, I want to tackle all rolled prompt. So in this lecture, then, I'll just to go to this old rule prompts and click here. Now here you can see you will have a lot of rural prompts for many profiles. Let's click on instruments. Now, all the sections in glued or rule prompt that is given in all rule promises section, and other useful prompts. You can see that I have not given numbering to these other useful prompts. And the reason is it will waste your time. Because let's say I put some numbering here. Now, if you copy this and paste it to inject GPD. Here you can see there too, we have this number in this prompt. But I want that you can easily copy the chromosome and do paste it to inject liberty without any wastage of time. Also in your MS Word program. When you click on these sections, you might see that it says Control plus clicker to follow limp. So what you have to do is you have to go to File, then options, then click on Advanced and you check with this, use Control plus clip to follow hyperlink. And then click on, Okay. Now you can click here and go to the section you want to. So these are the three things I wanted to tell you about the list of prompts to document. And I hope that you find it useful. Thanks for watching this lecture. I'll see you in the next lecture. 3. Limitations of ChatGPT: There are mainly three limitations or food chat, zippity, and you can see them on the homepage. The first one is it may occasionally generate incorrect information. And this is the reason you should always do proofread the content to provide it by check zippity. The second limitation is it may occasionally produce harmful instructions or biased content. And I think that it is very rare because if you ask me check Djibouti apportion, that cannot be answered using that dataset it was trained on, then you will get a neutral answer. Therefore, I believe it is very rare to get harmful instructions or biased content in charge equity. The last limitation is it has a limited knowledge of word and events after 2021. So if you ask good chat zippity, who want to go into to FIFA World Cup, then you will not get an answer. Also, if you asked for room temperature, say you are living in the way and you ask, what is the temperature in New Yorker today, then you will not get an answer because today is an event which is happening after 2021, values in jeopardy. And you should remember these limitations. And as I said earlier, you should always prove with the content provided by checks DBT. Also remember there too. It may occasionally generate incorrect information or it may occasionally produce harmful instructions or biased content, but most of the time so it will be correct. So a simple go through will work in your favor and you will be able to save a lot of your time. Thanks for watching this lecture. I'll see you in the next lecture. 4. Future of Jobs Prompt Engineer: Ai tools to automate so many things that will change the future of dogs Mckinsey safely in one of their articles, we estimate that between 400 million, 800 million individuals could be displaced by automation and need to find new jobs by 2030 around the world. You know that companies are building AI tools like cheddar, GPT. These tools who will replace humans. Because every company wants to reduce the cost to the investor in production and processing. As a result, a lot of people may become jobless. And this is the proof. You can see that layer of trends, especially in technology industry. But if you know how to use these AI tools and you have good knowledge of your industry, then you have a better chance to stay in the dog. Because in the future, companies will be hiring prompt engineers and a single prompt engineer will replace multiple implies. Since check GPT can help companies to create chatbots. And it can do a lot of other things like programming and translation. People who are working as customer service representatives, programmers who content developers, translator, so virtual assistants in almost any industry, marketing and sales people are at high risk and they might lose their job so in the near future. Therefore, it starting to learn and improve parenting skills is desirable for all of us. I don't know whether you believe in God or not. But I would suggest that to trust in God and do not get disappointed, God has something for everyone. We just need to do our jobs. I hope you understand how clumped engineering will save your job in the future when things will be automated in your company. If you have any questions you can ask. Thanks for watching this lecture. I will see you in the next lecture. 5. Introduction to ChatGPT and Prompt Engineering: So what is technically liberty is a checkbook. And check bottles simply means a robot for our water that you can access on this website and it will chat with you like a person. The best thing is you can chat with their two on almost any topic, whether it is personal or professional. Let's say, I asked me, How can I improve my productivity as a course instructor for data science? If students now see, it is deleting some contents for me. The thing that I want you to notice is the prompt I use. How can I improve my productivity as a course instructor for data science? I could simply use do, how can I improve my productivity? That's enough food for Djibouti to generate some content. But the addition of foo as opposed to structure for data science instruments is the thing that matters the most for check Djibouti and for me as well. Because now check zippity generated ideas to improve productivity for a course instructor who teach data science to his students. Not for any random person who is interested in improving productivity. And the process of going from how can I improve my productivity to how can I improve my productivity as a course instructor for data sciences trends is called prompt engineering. In the next lecture, we will discuss what is prompt to and what is prompt engineering. In more detail, we can say everyone for watching this lecture. I'll meet you in the next lecture. 6. Prompt and Prompt Engineering: Hi, welcome to this lecture. So let's get started. First of all, what is prompt? Prompt is a portion or a statement driven to check zippity as input to generate a response. In simple language, we can say that it is a way to encourage GPT to reply to the people who provide to it. E.g. if you give the prompt to what is the capital of the United States of America, now you get the output. And it says that the capital of the United States of America is Washington DC. Jack zippity is using the context to you provided to it. And then generating the output. The context too, we have in this prompt is that capital of the United States of America and said GPT is using this context to generate the output. This is an example of the most basic prompt to you can lose any credit equity. And how context to help Chet zippity to generate the output. Now, let's understand what is prompt engineering with a simple definition. Prompt engineering is the process of designing and crafting the portions or statements given to check GPT as input in order to get specific and desired of *****. It involves understanding the capabilities and the limitations of that threatens equity. And using that knowledge to craft prompts that will generate high-quality and accurate responses. This is a very simple definition of prompt engineering. And I hope you are getting my point. But still, if you have any questions, then you can message me anytime. I will try to answer as soon as possible. In the next lecture, we will discuss about why you should learn prompt engineering. Thanks everyone for watching this lecture. 7. Why Learn Prompt Engineering: Hi, Welcome everyone. You are already using with ChatGPT and you are finding the answers to your questions, then why you should learn prompt engineering? The reason prompt engineering is an essential skill for anyone looking to effectively use checks equity. With a good understanding of prompt engineering, you will be able to craft to Chrome sue that generate high-quality and accurate responses. Although you are writing prompts, but you might not be writing them in a way so that it can generate high-quality and accurate responses. As a result, you get output so that are not very useful. E.g. suppose you input a prompter, write a cover letter for a job application. This output is too generic and it doesn't show the specific qualifications and skills of the candidate. And we will have to work on it to make it more specific to the company and the job role you are applying for. But you can save your time that you will spend to make changes in this cover letter with some prompting engineering, this from two could be improved to be more specific and tailored to the job. Such as write a cover letter for a job application as a Data Scientist to at XYZ company. for Nizamuddin Siddiqui, who is working with the ABC company for the last 3 years and have experience in machine learning using Python, SQL, and A/B testing. Now see how good this response is. The dimension. So almost everything that will make an impact on the recruiter. And you can use it as it is as well. But again, you can make it do better than this. If your prompt is better than the prompter I gave here. This is a very basic example of how prompts can be improved with the prompt engineering. But there are specific changes needed will vary depending on the task and the desired output. This is crucial for all types of applications in which you check zippity can be used by learning how to effectively design and craft prompts. You will be able to use it to its fullest potential, which can lead to more accurately, efficient and effective results. That's all about why you should learn prompt engineering. In the next lecture, we will discuss about some incorrect ways to prompt him. Thanks for watching this lecture. 8. ChatGPT Prompt Engineering 5 Incorrect ways to Prompting: Hello everyone, Welcome to this lecture. In this lecture, I will share some incorrect ways to prompting without wasting any time. Let's start. Number one. Given the very broad or weird prompt, e.g. write a story about an instance. This type of Chrome tool can lead to a wide range of responses that may not be relevant to or specific to what you want. Number two, using two specific prompt. E.g. write a story about a young boy who lives in a small town and wants to be a firefighter. When he grows up. This type of prompter can limit the GPT-2 ability. Generate two creative and interesting text. Number three, providing too much context to in the crop, e.g. in the year 2050, the word has become a much different place. Climate change has caused these sea levels to rise. Andrew, many coastal cities have been flooded. Right eye story about a young woman who has to adapt to this new word. This type of prompter can overwhelm the checks duty and make it difficult for it to, to generate clear and concise text number for using overly complex or technical language in the crop, e.g. utilizing a heuristic algorithm, then later report detailing the current state of the global economics. This type of prompt two can be difficult for the GPD model to understand and it can lead to inaccurate or irrelevant responses. Number five, asking a question that can be answered with the available information. E.g. what is the meaning of life? This type of chromatin is difficult to first strategy could do to answer, since it does not have access to the information required to provide a meaningful response, all the zippity will generate an answer for this question, but you will find it a very gendered. As a result, it won't be meaningful for you because you are not providing any context to this question. So basically there are five incorrect ways to prompting. And you should remember these wild writing prompts. In the next lecture, we will discuss about the challenges and best practices related to prompt engineering. I hope you are enjoying this course, so thanks for watching this lecture. 9. ChatGPT Prompt Engineering Challenges & Best Practices: Hello everyone, Welcome to this lecture. I'm sure that you are facing challenges while writing prompts. So in this lecture, I will discuss some challenges when using GPT and best practices to write prompts. Let's start with the challenges. There are five challenges do we face when writing your prompts in Texas? First one is generating these concepts that are relevant and accurate. A lot of time you see that the output generated by tragic beauty is not relevant or accurate. The second challenge is the written prompts that are specific and clear. And it is actually the reason behind the First-Gen it. Because when we don't try to specific and clear prompts, then generating relevant and accurate responses is difficult. Challenges. Dealing with the tragic parties limitations such as not having common sense and understanding the context of complex prompts. Number four is a balancing between creativity and control over the terminated response based on my experiences using AI tool. So I personally believe that to overcoming these challenges is a very difficult task. Because a tool to generate responses in random manner, we cannot control that. The fifth and the last challenges, evaluating and improving that chat Jupiter is performance sensitive, developed do using a dataset and we don't have any access to that data. So I don't think that evaluation and improvement can be done from our site. But you can overcome first three challenges as you muster prompt engineering. Now let's discuss some best practices that will improve your prompting escapes. And there are five practices that you can use to overcome these challenges. Number one is, you already know, keep your prompt so specific and clear. Number to provide enough context to, for the thread Jupiter to generator relevant responsive. Number three, tests two different prompts and evaluate the chat Jupiter responsive number for continuously and improve your prompts. Finally, number five, be mindful of that tragic limitations. So this was all about to challenges and best practices. In the next lecture, we will have a look at some standard prompts. Thanks for watching this lecture. 10. ChatGPT Prompt Engineering Standard Prompts: Hi, welcome everyone. In this lecture, we will discuss about two standard prompts. Standard prompts are simple and straightforward questions or statements to perform a specific task. Some examples of standard prompts are, write a short story about a magical garden. This is a very simple and straightforward is treatment for Chet dup2 to generate some response. Let's have a look at another example. Translate this sentence from English to French. The sentences the set on the mat. Now this is also a very straightforward statement for equity. Now let's have a look at a classification example. Suppose you want to classify this as positive or negative. These two days. I don't like this or wet McDonalds, they are only good at making burgers. Since we mentioned do classify in this prompt to, it was very straightforward for Chet zippity. Now, let's ask the tragic D for something creative. Let's say write a recipe for a vegan less AB now. Now for this is to be creative, but since you mentioned, we're going to stop now. It is as simple and straightforward prompt because she had GPT is trained on a very large dataset. Now let's have a look at a standard prompt in the form of coercion. Say, I type in, what are the benefits of meditation? These prompts are designed to be simple and straightforward, which allows dup2 to focus on generating a specific type of texts. As you learn more about to prompt engineering in this course, you will be able to create a more complex problems so that can generate two more specific responses. In the next lecture we will discuss about to roll prompting. For watching this lecture 11. ChatGPT Prompt Engineering Role Prompting: Hi, welcome to this lecture. Rural prompting refers to using a specific prompts to target certain roles or tasks. These prompts are tailored to obtain a specific information or responses that are relevant to the role or tasky in the question. E.g. if you are writing a nice article, you can use role prompt him to ask credibility to generate a story about a specific event or person. Almost to all of your prompt Sue can be created by giving them a road. Let's have a look at some examples. Here is an example prompted for a social media manager will generator to E2 about our new product launch. It is, I want you to act as a social media manager and generator tweet about the launch of our new productive character counter, lose hashtags, new product to character counter launch. And do mention our company at the router XYZ, that two, it should be catchy and encourage people to try the product. And here is the response. Let's read it. Exciting news or latest creation. Character counter is finally here. Say goodbye to manual counting and hello to efficient rhetoric. Give it a try today and simplify your work. So if I'm a social media manager, I would say that it is perfect because it is catchy and it is also encouraging people to try the product. And I can post it on Twitter without making any changes. Now let's have a look at another example. As a software engineer. Suppose you are a software engineer and you want to generate a code snippet for future implementation. So you can write the prompt as I want you to act as a very junior and generate a code snippet for implementing us such future in our web applications using the Python programming language. The future should allow users to search for products sold by name and return a list of matching deserts. Now we have the explanation here and the code is here. We can also copy this code and paste it in Python and see if changes are required or not, and use it for implementing the search feature. Some people call this rule prompting as heck. And you can use this hetero for any industry and for anything like HR consultants in IT industry or even motivational speaker for business leaders. The most important thing is to provide the context in a very clear and concise manner. In the next lecture, we will discuss about to zero short prompting. So thanks for watching this lecture. I'll see you in the next lecture. 12. ChatGPT Prompt Engineering Zero shot Prompting: Hi, welcome everyone. In this lecture, we will talk about to zero-shot prompt. Zero-shot prompt two refers to the ability of chats duty to understand and generate texture based on a prompt to, it has not been specifically trained on. In layman terms, we'll consider it as riding a bicycle. Suppose you never practice due to ride a bicycle, but to USC in it. So when someone asks you for the first time to ride a bicycle, you sit on the CO2 and move the petals river. Notice specifically trend due to ride a bicycle. But when it comes to doing it too, you do it without failing. Some of us will fail as well. But that happened when we were child. As adults. We do it easily. And chatbots are not like that. They are not trade. They use the data they were trained on and then create the new information, all the prompts so I've shown in this course are also an example of a zero-shot prompts. Now, let's have a look at some more examples. Here is an example of a zero-shot prompt to, in the context of podcasting. And it is generate a transcript of a podcast episode discussing the benefits of meditation and mindfulness for mental health. In this example, we are not providing any specific information for examples related to that topic of meditation and mindfulness. But Chad GPT is expected to generate a transcriptome of a podcast episode discussing those topics. So based on its general understanding of language and the context of the prompt. Here you can see there too, we have an intro and a host to, with talking to Dr. Smith. Now the question is, when to use a zero-shot prompted? You should use a zero-shot prompting when he ever similar tasks to do. And you don't find ways to give examples to check zippity related to that task. Or you don't have any ideas about the results you expect from Chad zippity, e.g. if I put two, tell me some reasons of the fall of the Ottoman Empire. And I'm using this because I don't have any idea about why Ottoman Empire fell, but I just want to know. You might also wonder, what is a non-zero short prompting? Or I should say the right question would be, what are the prompts will check Jupiter is trained on. So the answer is a tragic. T is trained on a massive dataset consisting of billions of words from a variety of sources, including websites, books, and articles. This training data is designed to cover a wide range of topics, including general knowledge, science, news, history, culture, and everyday humans conversations. To ensure that the model, so training data is high-quality and diverse. Open AIA process do and filtered the data to remove low-quality content to duplicate and biased language. The model is then fine-tune do using a process called unsupervised London, where it lands patterns and relationships in the data without supervision. The end result is a highly versatile model that can generate coherent and meaningful responses to a wide range of prompts, even if it hasn't seen that a specific prompt to before. So whether you are looking for information on a particular topic or just want to have a conversation, you can use GPT. This definition tells us that we always use a zero-shot prompting or mix it with other prompting techniques because we don't know what are the prompts over used to create shadows equity. I hope that everything is clear so far. But still, if you have any questions, then you can message me anytime. Now, let's move on to the next lecture. Thanks for watching this lecture. 13. ChatGPT Prompt Engineering Few shot Prompting: Hello everyone, Welcome to this lecture. In this lecture, we will discuss about a few short from future prompting is a type of prompting method where Jupiter is provided with a small amount of examples or contexts to help us generate a response. The examples are context too, are usually in the form of a few sentences or paragraphs. And they are used to give you a general idea of what the prompt is looking for. Now again, consider the example of asking for the reasons behind the fall of the Ottoman Empire that were discussed in the previous lecture. Suppose I know one reason behind the fall of the Ottoman Empire and say it is siding with Germany in World War one. Now I can write the same chrome test. Tell me some reasons of the fall of Ottoman Empire. I know about those siding with Germany in World War one, but looking for more reasons, based on my experience, I can say that the main difference between zero-shot prompting and flu shot from thing is that check GPT will take more time to answer a zero-shot prompt if it is a little complex. But the response time for few short prompts is comparatively less. And this happens because we are helping chair deputy to recall the contents we need. This is also the reason learning prompt engineering is beneficial. In the next lecture, we will discuss about chain of thoughts prompt and don't forget that if you have any questions, then you can message me anytime. Thanks for watching this lecture. 14. ChatGPT Prompt Engineering Chain of Thoughts Prompting: Hi, welcome everyone. In this lecture, we will discuss about two chain of thoughts prompted. Chain of thoughts prompting is a type of prompting techniques where we provide a starting point to or texted and then charge it, generates a response that continues the thought or idea presented in the text. It allows you to guide the chat Djibouti in a specific direction and can be used to generate logical and consistent text. We can create a chain of thoughts prompt in the form of related questions or statements. E.g. suppose you are creating a website for a real estate start-up. And they want to include some facts like this. What is the importance of owning the house? What is the importance of high roof? And you create a prompter like this. So here we have what is the importance of owning a house? And then we have the answer to this question. Then again, we asked to check dup2 to answer this. What is the importance of this complete two? X2 is a prompt. Here you are given the context to, to check Djibouti to understand the type of content you are looking for. And it will become easy for judges to create the content you want. Now see this output. You will find that this output is similar to the answer of the first question. We use duty in the prompt and the output generated by tragic t is singular. Now, this is called a train of thoughts prompting chat zippity is using the thoughtful we provided in the prompt and generating the response will build on that thought. Now, let's ask a tragic t, a similar question related to house. Let's say I put in, what is the importance of white frontal in-house. Here you can see there too, this response is also following the same thought. Now, if you find a difficulty in creating this kind of prompts, then again, you can take the help from tragic t. You can ask the question you have in your mind to check aegypti and use the potion and the responses generated by Chad zippity to create a new crop. This new grantor will work for you as a chain of thoughts prompt. Now one question arises here. When to use chain of first prompt him? So the answer is, you should use a chain of thoughts prompting when you want to gender to responses that are connected to each other. In this example, I provided a long text in the form of bullet points. The output of the prompter was generated in the same way. So if you are looking for the prompt to gender or puts in a similar manner, then you should use chain of thoughts prompting. Also, it is important to remember that while writing your chain of thoughts prompt to see text2 should be as descriptive as possible. Because this will help check Djibouti to generate the best output for your specific problem. Still, if you have any questions related to train of thoughts, prompting or any other prompting technique, then you can message me anytime. In the next lecture, we will discuss about the difference between future prompt in that chain of thoughts prompting. Thanks for watching this lecture. 15. ChatGPT Prompt Engineering Few shot & Chain of Thoughts Difference: Hi, welcome everyone. In this lecture, we will understand the difference between few-shot prompting and train of thoughts prompted. In chain of thoughts prompting, multiple related prompts are provided to check GPT in a sequence. And we expect to check zippity to build their responses based on these prompts and maintain contexts. This approach is used to generate two more consistent and logically connected responses. On the other hand, in few-shot from a limited number of examples or prompts are provided to tragic beauty with the expectation that it will learn and generate responses based on these examples, this approach is used when the charging party is required to understand a new concept from scratch. But twice between these two prompting techniques depend on the specific use cases and requirements. If you have a clear idea about the difference between them, then you will be able to use them in an efficient way. But if you have any confusion about the difference between these two problems and techniques, then you can message me to clear your doubts. So far we have discussed do all the necessary prompting techniques. And I hope that you understand that. So thanks for watching this lecture. 16. Course Project: Hi, welcome to this lecture. In this lecture, we will talk about the project of this course. I have created a live documentary that you can download where I've given all the prompting techniques and the example so associated with these techniques. Now, what your job is, you have to use these examples and create all the type of prompts for your use case, for the problems will you face in your job or in your personal life? And I can guarantee you you're prompting is cancelled, will improve for sure. This was all about the project of this course. Thanks for watching this lecture. 17. Creating a Perfect Prompt: Structure: Hi, welcome everyone. In this lecture, we will understand how we can create a perfect prompt. So without wasting any time, let's start for creating a perfect prom to have the when Lewis structure. First one is instructor for zero-shot to know context prompts. And after that, we have a structure for prompts with context. So let's start with a structure for zero-shot or no context prompts. There is a note below this structure and it says, use this template to when you don't need a context to or you don't have any idea about that context. This thing is explained in previous lectures. But if you did not watch your previous lectures, then please watch them first. Or if you don't need to do an explanation for this node two, then you can continue watching this lecture. The structure is very simple. What do you have to do is just to need to fill in these square brackets based on your specific needs. What we have in this structure is options, like expert personnel. So in place of expert persona, you can use a digital marketer, research scientists to rule, professor, teacher whatever expert profile you want to use. And then we have number. So it can be one to five years, 15 and so on. And after that, we have industry. So let's say you are working in financing, then you can put two financier. You are working in technology. Then you can put in technology here. After that. We had above. So you can use a website like compare, outline, et cetera. After there too, we have a prompt to output formats. You know that you can do a lot of things and you can generate two different types of outputs. Using creativity. Like tables are bullet points listed. So you can use this part of the structure for this purpose. After that, we have a task and gold. Now here you will put two. What do you want to Egypt to do for you? After that? We have this part. It says statistics from top urbanization. So zippity will generate two statistics from top organization. So in the output, which is related to your task or goal. In the same way, we have citations from top publishers, references, research results from top researchers, expert coats, real-life examples, or even YouTube. You do aliens. If Jack zippity provide these links, then we have tone and style and voice. Based on your choice. It means you can choose a tone and style, tone and voice, or whatever your choices are. And lastly, we have all types of customers. Now, the good thing is you don't have to search for expert persona, industry or verbs, or prompt to put formats or tone, style and wise, even types of customers. Everything is saved in this cell, creating a perfect prom to a Word document. And you can use it to very easily. Now, let's have a look at an example problem to four, no context. So let's copy this and paste it to in jags equity. I'm reading this from two. I'm reading this problem too. So there are two. You get an idea about the structure. And it says there to pretend to be a copywriter, which is an expert person or having eight years of experience working in education industry. Compare, which is a verb. Now via eval. Text-based lending and do video-based learning is part of their task and gold and return the output in our table format. This table format to prompt to output format. Explanation of the table, which is the actual goal. After that, we have include later statistics from top organizations and provided the differences if possible. Now we are done up to this part. Then we have adopted pragmatic tone, which is one of the tones in writing. We do instructional style. So this is writing style in your writing that targets the intellectual shoppers. This intellectual shoppers who is one of the customer type. So now press Enter. So here we have a table and the explanations. And it also provides us some statistics. According to a study by the industrial food temper, the students who was, do we use at a higher level of understanding of the material compared to those who really do text-based materials. So the references are also there with some statistics. And I am supremely happy with this output. Now, if you have an idea about the context, then we can use this structure. Here. Everything is same. We just need to consider context background. And you will find this context background as well In this file. So you don't have to worry about it and use it to according to your needs. I hope you understand these things. So let's go to the example. Let's copy this and paste it in. It says, who pretend to be an operations manager having five years of experience working in transportation and logistics proposal, which is a web business plan for procurement. Consider a budget to afford $1 million and a six months time period for execution. This is the contextual background that I'm putting air. And in the Word file, if you look at context background, so then you will get an idea about how this context too is created. After that to include related references. Adopter if tone of voice, which is one of the voice type width for each tile in your writing. Since we are creating a business plan and people who are going to look at this plan are likely to be busy. So I have written busy professional as a target to customer type. Now press Enter. You can see that it already understand that we have to maximize efficiency, reduce costs, and improve supply chain management. All within a budget of $1,000,000 and a six month time frame. This is the real benefit of providing context to, to judge equity. We also have some differences. We can check that out. I hope you find these structure so very useful and improve your productivity at a higher speed. Thanks for watching this lecture. I'll see you in the next lecture. 18. Perfect Prompt: How to use word document: Hi, welcome everyone. In this lecture we will understand how you can use creating a perfect prompt to Word document. So let's start. When you will open this document. Then you will find a structure for zero-shot two or no context prompts and copy this structure and paste it in. Then change you these things according to your own specific objective. After this is structure, we will get to a structure for prompts with context. And you can use this in the same way. Then you will find industry types of customers. So contextual, background, contextualization, don't style wise, prompt to output format experts from different industries. And then in the end will follow up with cramps structure. So let's say you want to know what type of prompt output format you should use in your prompt to. Then you can click here. And you will find the 50th to output formats like tables, dialogues and conversations, poems and creative writing and product two descriptions. There are so many output format, so you will find here and you can use them to mature prompt to perfect. The way to use this documentary is similar to the prompts list to document. So I hope that you can easily use this document. But if you face any challenges or any problems while using this documented, then please message me anytime. Thanks for watching this lecture. I'll see you in the next lecture. 19. Perfect Prompt: Using Industries: Hi, welcome everyone. In this lecture, we will understand why you should mention industry in your chat GPT Bronx Zoo. And we will also have a look at a list of industries that you can use in your prompts. So let's start. You can see on your screen there are four reasons that makes you mentioning the industry in chat zippity from so important. And they are relevance, accuracy, credibility, and efficiency. All these reasons are explained here. And I'm going to read these explanations one-by-one so that you can understand them in this way. I believe that it will be easier to understand the reasons and recall them in the future. So let's start with the relevance. The explanation for relevance is by mentioning the industry that GPD prom suit and we've tailored to their specific needs and then dress soup of that user. This can help to make the conversation more relevant and engaging and can increase the likelihood of the user finding value in the infection. So if you mentioned industry in your chat GPD prompts, then the conversation you will have with chat gb t is more likely to give you valuable results. Now, the second reason is accuracy. The explanation for accuracies. Depending on the industry, certain terms or jargon maybe specific to that field. By mentioning the industry that chat GPD, Bronx Zoo to use language that is accurate and appropriate for that industry. So e.g. if you worked in marketing and use some specific counsel in marketing field and say, I work in education. In this situation, if anybody knows about the industry we're working in, then we're going to get two more accurate and appropriate results for those specific industries. Now, the third reason is it credibility. The explanation for credibility is when you check Djibouti, prompts are tailored to a specific industry. They are more likely to be perceived as credible and authoritative. This can help to build trust with the user and increase the likelihood of them engaging in that conversation. This also makes sense because of credibility is an important part. Everyone search for. Just to understand this. Like if someone is an expert in AI specifically is killed, then we humans who are more likely to treat this person as trustworthy. In the same way jet work. So like Djibouti will treat us as credible and alternative just by mentioning the industry because most people do not provide enough information in there prompts. Now, the final and the last reason is efficiency. The explanation for efficiencies by knowing the industry, aegypti can be programmed to provide them more efficient responsive. This is because the system can use pre-existing knowledge and responses that are specific to that industry. So you already know that build upon a very huge dataset. And if you mentioned the industry in Europe from Sudan, I'll put you will get from Chad Duty will be more efficient. If you have any doubts or questions related to these reasons, then please ask me anytime. Now, let's have a look at the industries list. So here we are in the streets. And if I do something, then please let me know. So we have education, business, creative writing and publishing, Technology, Engineering, Marketing, Science, Sports and Fitness, concerting, fashion, Research and Development, Information Technology, hospitality and tourism, journalism and media finances, retail and sales to transportation and logistics, human resources, real estate to medical and healthcare, non-profit to governmental law and public service, energy and natural resources, social worker, construction Andrew, Great Sioux. And lastly, aviation. If you think that something is missing, then please let me know. And I will add their two in this lesson as well. Now let's have a look at the difference between the outputs are generated by Ted DBT for the same prompt to but within different industries. Let's say I type in, explain software, testing. Data analyst, analyst working in finance. Now press Enter now and do the same thing for a different industry. Let's say copy this and paste it here. Let's say I type in human resources. Now, let's have a look at the output. Now, if you see this output to, this is tailored specifically for human resources. And if we look at this output, finance industry. So this is the real reason behind why you should do mention industry in your prompts. I hope that everything is clear so far. But still, if you have any questions, then please ask me. Thanks for watching this lecture. I'll see you in the next lecture. 20. Perfect Prompt: Difference between Tone, Style, & Voice: Hi, welcome everyone. In this lecture, we will understand what is the difference between tone, style and voice. After that, we will have a look at an example to understand twice of style, tone, and voice in a specific situation. So let's start with the definitions first. Now, let's define tone. Tone is the emotional aspect of your writing or speech. That is the Moodle or feeling that you convey. And it can be highly influential in shaping their inverse response to your message. Tone can be playful, serious, sarcastic, or any of the other types. And it can vary greatly depending on the situation. Now, the second element is style. Style is the most fundamental of the three elements. That is the way in which you to express yourself. And it covers so many different things. E.g. it includes the way you structure your sentences, the words you choose to you, and the metaphor. So you apply in your language site and be highly variable depending on the audience's, the context, and the purpose of the writing. The third and the last element is voice. Voice is the most personal of the three elements. That is the unique personality and perspective that you bring to your writing or speech. Shaped by or background, experiences, beliefs, and values. And it is what sets you apart from other writers or speaker's. Voice can be highly influential in shaping how your message is received. As it can create a sense of trust and authenticity that is difficult to replicate. I hope that these definitions are in a for-loop. Understand the difference between these three elements. But still, I will give you an example to make it more clear. So let's consider an example. Imagine that you are writing a blog post too, about our incentive vacation you took. Here is how you might approach to each of these three elements. So in your blog post, for each style, pneumatic tools to write in a breezy and informal style using short sentences. For tone, you might adopt a nostalgic with full tone, conveying the sense of longing you feel for the place you visited. Alternatively, you might adopt a more playful or lighthearted tone, emphasizing the fun and excitement of the tree. And for y su, you're wise might be shaped by your background, experiences and values. E.g. if you are a natural level, you might emphasizing the natural beauty of the place you visited by using soft and soothing voice is given in the list of voices. And if you are an adventurous traveler, you might choose to use IPOs, do energetic voice. This was an example related to prevalent, where you can use all these three elements, style, tone and voice. And you can see each of these elements plays a distinct role in shaping how your writing or speech is received. By understanding the differences between a style, tone, and voice, you can become a more effective communicator with aegypti or other chatbots and create prompts that are more useful. I hope you are getting the point here. But still, if you have any questions, then please ask me. Thanks for watching this lecture. I'll see you in the next lecture. 21. Perfect Prompt: Using Tone, Voice, & Style: Hi, welcome everyone. In this lecture, we will understand why verbs are important tool in writing prompts. And after that, we will ever look at a list of 50 works. So let's start over absolute play a crucial role in writing effective check zippity prompts. You know that verbs or action words that communicate to the action is there are two occurrences of the subject to in a sentence. Here we have four reasons to answer why web sue are important too in writing aegypti prompts. The first one is web sue, helped to specify the type of responses that is expected from Cheddar equity, e.g. if the prompter starts with the writer is to worry about, it is clear that Judge Judy should provide a narrative response. In contrast to the prompt is starts with will explain. Then check zippity should provide an informative response. The second reason is the use of different verbs can add variety and interest to the prompts. Like using action verbs, we can create a sense of movement and excitement in the prompt. While if you use a descriptive verbs, then we can create a more engaging illustration for GPD. Now the third reason is a web server can also help to convey the tone and mood of the prompt, e.g. using a strong work so we can create a sense of urgency or importance. On the other hand, if the users are verbs, then we can create a more gentle or soothing tone. Finally, the last tool and the fourth reason is specific and precise biopsy. Then we can write two more clear Bronx Zoo and reducing ambiguity, uncertainty in those prompts. E.g. if we use and analyze it Institute of Food discuss, then it can help to understand the specific type of responses that is expected. So these are four reasons so to understand via web so are important too in writing checks elliptic curves. Now, let's have a look at the list of verbs we have. Here. We have explain, describe, discuss, compare, contrast to define, analyze, evaluate, to illustrate, to predict, suggesting, persuaded, justify, critique and many other. Let's have a look at an example. So let's type in compare, say Amazon. We'll do Alibaba in terms of services. So we have the comparison. So we have the comparison between these two biggest e-commerce companies in the world. Now let's have a look at another example. Say generate two hashtags for Linden Post related to engineering. So here we have a very long list of hashtags related to engineering. But as I always say, You have to proofread the content to generated by GPD and make the changes according to your needs. So I think this hashtag is relevant and this one is also relevant. This will also work. And we can also use this one. And AI in engineering would also work. But the rest of the hashtags does not seem to be very useful for prompt engineering. So this was all about web sue. And I hope that you find them very useful. But still, if you think that something is missing, if you have any suggestions for me, then please ask questions or contact me with your selections. Tens for watching this lecture. I'll see you in the next lecture. 22. Perfect Prompt: Using Verbs: Hi, welcome everyone. In this lecture, we will understand why we should mention the type of customers in check zippity prompts. And we will also have a look at the list of types of customers, so driven into a Word document. So let's start mentioning the types of customers for whom you want to create something. Using. Tragedy is important just because of a simple reason. And that reason is, it helps to tailor the prompts to that target audience. In this list, 2462 types of customers, you will find a unique characteristics of customers. Like someone is price insensitive, someone is price sensitive. Someone is looking for discount to, someone is our rational shopper. Commodity risk. Or someone is in CFTC curve. There are so many types of customers and each of these types is explained in this document. And you can have a look at the description. And we also have some type. So that will give you an idea to create two new types of customers, e.g. the enthusiast. Now suppose you wanted to create something for a group of people who are very much interested in a certain product or service, then you can use this word enthusiastic. And in place of the cooking, you can replace it with the service or the product. Let's say the sports enthusiast. In the same way we have the camper here discuss tomorrow, is passionate about camping and may prioritize high-quality camping gear equipment, and cramping related experiences. So by using the temper, you can create two foreigner or pensioner, or even ship owner. So it's up to you. There are two types of customers. So in this listing, and you can use them accordingly or create your own. Now let's clear to Google headline for row two types of customers. So let's go up. And I will choose the CFTC curve and that quality seeker. And let's see the differences between their zippity output for a Google ad headline. So let's type in clear to Google ad headline. To send. Say I want to sell, say I want to sell electronic watches. So I will type in electronic watches to the safety secret. Let's copy this and press Enter. Now, do the same for the quality seeker. So just paste it two and replace this safety quality. Now you can see the difference between these outputs. It says, Stay safe and a style issue with our high-tech electronic watches show up now. For quality seeker, it says experiences unmatched, do precision and durability with our premium electronic watches order now. So this is the differential you will find when you will use the types of customers. So appropriately, if you have some data of your customers and you know their characteristics, then it will be very useful. I hope you find this leads to very useful. But if you think that is something is missing, or if you have any suggestions for me, then please let me know. Thanks for watching this lecture. I'll see you in the next lecture. 23. Perfect Prompt: Mentioning Types of Customers: Hi, welcome everyone. In this lecture, we will understand what is context background or contextualization. And we will also have a look at 15 types are full context backgrounds. So let's start. Contextualization refers to an introductory guide explanation that helps you check dB t, understand the background, situation or circumstances surrounding a particular topic or subject. So if you input two context background in the best possible manner, then you are more likely to get the best output. So from here we have a list of 15 types of contexts background. So you can use them based on your specific needs. E.g. suppose I want to try repeatedly to create a definition of power. So let's type any define power. Now, since I did not mention whether I want to check GPT-2 creator definition of power in mathematics from physics in terms of political power. So we have this definition and it does a lot to cover mathematics. Now, let's us go check GPD to define power in mathematics. So I will type in defining power in mathematics and press Enter. Now see, this is the difference that I'm talking about. Here. We have used do academic field. And in the same way, you can use other types of contexts where ground. And this leads to define all these contexts background sue for you to understand in an easy manner. I hope you find this leads to very useful to meet your prompts so better. And it will save a lot of low time. Thanks for watching this lecture. I'll see you in the next lecture. 24. Perfect Prompt: Using Context Background: Hi, welcome everyone. In the previous lecture, we have discussed the difference between tone, YC, and strike. Now, in this lecture, we will ever look at the list of poems, styles, and voices. So let's start. Here. We have six year two types of cones and each of these types who is explained in a brief manner. Now, let's have a look at the difference between the output tool for Roku types of tones. So let's type in explained or T. Intelligence in say, mystical tone. Now press Enter. Now let's copy this and paste it here. Now I will replace this mystical would say, sentimental, sentimental, sentimental. And press Enter. Now let's have a look at this. It says, oh, secret of knowledge. Here my word soon as I reveal to you. So it sounds mystical or kind of food secret. But if you look at this, then it says, oh dear friend, do let me share with you the wonders of artificial intelligence. The technology that has touched the hearts of foods, so many. So this is kind of full sentimental. I hope. Now you understand why we should mention tone. So in Djibouti prompts. But remember that this will work in the best possible way if you follow the structure I shared in the retina, perfect from two lecture. Now, let's have a look at some styles. So here we have quantitative styles. Now, let's say I asked you to do explain Artificial Intelligence in casual style. So just to copy paste this and replace it to mid casual style. Press Enter. Now see the sentence here. The tasty, food friendly. Now, let's do the same thing for another state. Say storytelling state. So just paste this and replace it with no press Enter. C starts with once upon a time. Just like our story. And we also have a character, Dr. Maria here. Now let's have a look at two voices. So here we have two types of voices. And let's ask her to Jupiter to explain Artificial Intelligence In C or D *** author device. Now press Enter. Now suppose I choose to use melodic voice. So I'll copy this and paste to care. And I will replace this melodic. And after that too, we will have a look at the difference between these two outputs. Now, see here we have this explanation that says ai, for short, is a one dresser creation of human innovation and creativity. So this will do when dressing. Put some melody in this book. And if we look at this output, we have manifestation of the extraordinary power of human ingenuity and creativity that makes it too deep and authoritative. And also we have some other paragraphs in both of these two outputs that will be more useful to understand the difference between these two types of food voices. I hope that you find this leads to very useful. But still, if you think that something is missing, if you have any suggestions for me, then please you tell me about it. Thanks for watching this lecture. I'll see you in the next lecture. 25. Perfect Prompt: Prompt Output Formats: Hi, welcome everyone. In this lecture, we will understand what is the benefit of mentioning output format, so intangibility prompts. And we will also have a look at the left awful output format. So given into creating a perfect prompt to Word document. So let's start the benefit of using output format. So in tragedy prompts lies in the ability to enhance the user experience and facilitate the integration of Fu, check Jupiter outputs with other tools. Like if you create two tables in Egypt, then you can easily copy and paste it in Excel. So if you mentioned desired output format, so then you are likely to get to better results. Here we have 50-year to output format. So in this list and a brief idea about too, when you can use this format. So is also there. Let's have a look at this list. So we have tables, dialogues, Williams and creative writing. Somebody's outlines, manifestos, right line. So lesson plans, audio descriptions, technical specifications, legal documents, business plans, biographies. So many things are there in this lesson, and you can use them according to your needs. Now, let's create something. Let's create a table of capabilities and limitations of tools for text generation. Now press Enter. Here you can see we're getting really structured table. And everything is explained here. And it seems to be in a very easy language. Now let's create a recipe proposal. I want to do something spicy, but not very widely. Now, let's ask the judge equity to create this type of recipe for me. So recipe which is pricey but not very. We can also put some ingredients like potato and actually pepper. So I will type in, include potatoes and red chili pepper. Now press Enter. I hope that you find this leads to very useful and everything is clear so far. But it's telling you, if you have any questions, then please ask me. Thanks for watching this lecture. I'll see you in the next lecture. 26. Perfect Prompt: Follow-up Prompts Structure: Hi, welcome everyone. In this lecture we will understand what is a follow-up prompt and what kind of structure we have for this type of prompts. Follow-up prompts are the prompts that we insert to type in chat Djibouti after getting the output of the first prompt. And these prompts are used due to encourage you to Djibouti to provide more detailed, comprehensive, specific information and to deepen the conversation that is going off. Here we have a less powerful 36 follow-up prompts structure. But remember that each of them might not be useful for your specific needs. So I would suggest you to read them more carefully and then decided to which one are useful for your specific needs. Now, let's have a look at an example to understand how you can use these follow-up prompts, these structures. So let's generate some ideas and then we will use this prompt. Let me type in January 2, three unique product ideas for digital marketers. Generate. Three unique product ideas for digital marketers. And press Enter. Now, I can copy this prompt and paste it here and replace this weird idea, number one. So here we have manifests. And it's about to social media content creation tool. And it is same here. Social media content creation tool. This is the first product we have in the first output. And the second output is referring to the same. And we also have drawbacks. But if you want to, then you can replace this idea number one with social media content creation tool. Or if you want to generate it for this one, this one, then you can mention them in this trunk. Here. You will get the desired output. In the same way. There are some other structures that you can use. So here we have how does theory apply to real-world scenario? Now suppose you are asked to track Jupiter for some theories, say, list two theories related to physics. And you get to this kind of output. And if you want to know how this whole relativity is applied due to Lil'wat scenario, e.g. construction of a building. Then you can copy this structure and pasted to inject liberty. Now replace this with relativity and district real-world scenario with construction. Building. No press Enter. So in this way you can use these structures. Here we have 36 of them. And I hope that you will find them very useful. But if you think that something is missing or if you have any questions related to these structures, then please ask me anytime. Thanks for watching this lecture. I'll see you in the next lecture. 27. Using Expert's Persona - Real Person: Writing a blog post to like an expert is a very time-consuming task. Because experts who invested so much time in learning those skills. But you can use their writing style in ZPD very easily. E.g. suppose you want to create an outline for a blog post to like Neil Patel. Then you can do it like this. You can type in, create an outline for a blog post title, say digital marketing for course creators in the style of Neil Patel, then you should try to do not provide any additional information or explanations because she had GPT creative extra content. We don't need it. Now, just press Enter. Here you can see there are two extra content is generated. And this outline is like an outline created by Neil Patel. Whatever content you create in check GPT, you can use the style of the expert who is well known in the industry. And it is very easy. We just need to type in each tail off and that person's name. If you find it difficult to write in the style of an expert, then you can ask me about it. Thanks for watching this lecture. I'll see you in the next lecture. 28. Closure: Hi, Welcome everyone. Thanks for watching the previous lecture. I recommend that you complete the course projector, as it will help you a lot. Also, if you forget about any prompting technique than the project file will help you to recall them easily. So make sure that you download it. If you have any questions related to prompting techniques. Using the prompts I provided in the list, then you can ask me anytime before leaving. It would be great. If you can read the Corso and leave a review. This will help me a lot too, and other students as well tense for completing the course. I wish you success in your personal and professional life. 29. Prompting Engineering FAQs : Hi, Welcome everyone to this lecture. I especially created this section to share the problems who people are facing. In this section, you will get to see some unique use cases related to prompt him. Since that zippity and prompt engineering is a new thing for almost all of us. I hope that the use cases I will share in the section will be beneficial. You just need to remember there too. Some of the use cases may not be from your industry or you won't find them relevant at this point of time. But I will try my best to share the use cases that will be useful to improve your prompting escapes. Welcome to this new section, and thanks for watching this lecture. 30. FAQs - Inputting Prompts in Multiple Chunks: Hi, welcome to this lecture. One of my students who was trying to input some prompt, but check zippity is not generating the text to he's looking for what he wants to do is he's giving you some data to check zippity. And he expected that to each IGBT will convert that data into some texts. But the data is providing to check zippity is around four to five pages. So here's a inputting that data in chunks. Let me show you the prompter he inserted and check ZPD. Today you are a senior copywriter for real estate brushes. You are beginning a new real estate to brush your project and analyzing the existing project information. I will be providing their project information in multiple inputs. Remember all project information throughout the entire conversation. Understood. And when I add more input, so I use here is more project information for you to remember. After that, he did do enter the data or information in place of input. But Chad zippity did not understand the input and it was generating some random outputs. Now, when you will add two more project information for Jupiter to remember, it will be difficult for chat zippity to generate the desired output because the context of this prompter will be complex for transcript. And it is very long as when you write a check Jeopardy problems. So you need to remember that she had zippity is not likely to understand long form context. As a result, the output so may become completely useless. But if you really need to use a long-term contexts, then you will have to find a way to do it in steps. So I can rephrase this prompter as first of all, I just do remove this part. And then I'll write two. I will be providing the existing project information. And you will generate the output in a brochure format. For real state business. My input, this is here, you will paste here and put. This format of prompter is likely to generate a better output for a real estate business procedure. But you will have to do it in steps and then merge all the information. And this is going to save your time. The students who did not provide the exact input of what he was trying to do. So I cannot do show you the exact output we can get from this prompt. But I believe what you are getting my point. If you have any questions related to this from two, then you can message me anytime. So thanks a lot for watching this lecture. 31. FAQs - Creating Conditional Lists: Hi, welcome everyone. In this lecture, we will have a look at two examples of conditional prompts. And the first example is, give me a list of all the animal so that it starts with the letter E. Here. You can see there to check zippity generated a list of 26 animals. But if you want to more than just typing, create more, you will get to more animal so that it starts with the letter E. Now, let's have a look at the second example. Suppose you want to know what are the prime number, so 400-500. Then you can input the prompter. Give me a list of who are numbers 400-500, that r prime t will create that list. So I hope that you got an idea about how to create a list to using tragic t based on a condition. If you have any questions related to this kind of prompts, are you face any difficulty in creating conditional lists? Then feel free to ask me about it. Thank you so much for showing interest in Chad zippity, and watching this lecture. 32. FAQs - Course Creation Steps: The first step is to generate some ideas to create a course. So e.g. I. Want to create a course on digital marketing. So I type in gender to ten ideas for our course on digital marketing. Here we have ten ideas. Now I will choose one of these to create a course. Say, I choose influencer marketing and working with influencers. Now, the second step is to create a benefits of taking a course on influencer marketing and working with influencers. We can do this by typing in January to say ten benefits for an online course on influencer marketing and working with influencers. Anyone who is interested in taking the torso on influencer marketing and working with influencers will choose your core. So only if you provide a valuable benefits. When you upload your courses on any of the post marketplaces, they asked you to provide some benefits of the wars so that your core, so the extra attention offer students. The third step is you have to generate two course outline to create content. So just type in, germinate and outline for this course when bullet point modules. Here you can see there too. I don't have to recall that GPT again and again about my course title. And it will generate content to based on the course title I provided initially. So here we have ten modules for this course. Now we will move on to scripting the course content. So the fourth step is donating the scripts. Let's say I want to generate a script to overview of food influencer marketing and its role in today's digital landscape. Now copy this and paste it into here and type hair generative script for overview of influencer marketing and its role in today's digital landscape. Now Jack Jupiter will generate a script to, for this lesson. In the same way, you can generate a script sue for other lessons, say e.g. I. Choose the second one, understanding the different types of types of influencers and their impact on different industries. I just need to type the same thing here. Generators are detailed, descriptive. This. Now we will get the script for the second lesson, but you will have to scroll up again and again. So I would suggest you to copy the outline once it was created and paste it in a Word document or a Google doc. Here it is. Now you can use this little outline to create the scripts through chat Djibouti. This will save a lot of your time. Now the next step is to create a description of this course. So just type in, generate a detailed description of this course with keyword or digital marketing, at least 210 times. This will help you to rent your Corso in course marketplaces. So remember that you should provide the keyword and the number of times. So you want to that keyword to be included in the course description. Now we are on their fifth step. The other step is generate a subtitle for this course to improve SEO. You can also ask for more subtitles to choose from, say, generic five subtitles. For this course to improve, as you will generate 25 subtitles so that you can choose any of them and use it in your course. Ninth step is to generate some leftover so that can magically improve the sales of the course. So I'll type in, Let's do some magic words to include in the course title to increase. Since now we will get some verses that we can use in the course title that are likely to increase the sales. Finally, the last step is to get some ideas to promote the course. So I asked her tragic duty to let some easiest ways to promote discourse. And it will provide free and paid ideas to promote the course. If you want to create a course, we'll then check liberty will surely help you out. Thanks for watching this video. I'll meet you in the next video.