Creative AI: Unleash Your Imagination

1. Welcome: AI transformation is happening right before our eyes. It's reshaping how we learn, create, and solve problems. AI and creative thinking are two of the fast growing skills by 2030. Mastering these skills sets the stage for your future success at school, work, and beyond. Are you ready to level up? I'm Darren Ritre, creative entrepreneur and founder of a thriving creative agency. I believe in the magic of AI and Imagination as a force for good. Joining me is my twin sister, Ria Jung, our tech strategist, who's used AI and other innovations to help companies tackle big challenges. Her expertise fuels this class. After incredible feedback from live workshops with groups like Girls and Tech, we're thrilled to bring this class to you. Are you looking to supercharge your creativity with AI, whether you're nailing school assignments, driving passion projects, or planning your career path? If the answer is yes, you're in the right place. We'll start with AI basics, then dive into the heart of the class, hands on generative AI for text, images and video. You'll master our creative prompt engineering framework to level up your skills and turn your wildest ideas into reality in seconds. And finally, we'll wrap with responsible AI practices, covering key limitations, risk, and ethics so you can use these powerful tools with confidence and integrity. By the end of the class, you'll not only understand how AI works, but also have the practical skills to apply anywhere in school work or wherever your imagination takes you. Keep in mind this class is all about learning AI principles and creative frameworks, not an exhaustive deep dive into AI tools. We'll demo the Chachi PT and Leonardo AI to jump start your journey, but the real goal is to equip you with skills that you can apply to any new tool that pops up next. Why take this? AI isn't optional. It will be part of nearly every job across every industry. 92% of students are already using AI, yet only 36% know how to use it effectively. Understanding and using AI will set you up for future success by giving you the tools to create, innovate, and lead in a rapidly evolving world. Plus, it's so fun. Imagine AI helping you write your own book or design a dream car or plan an epic event. The possibilities are endless. Your final project will be to use generative AI tools to dream up a future career that blends everything that you've learned about AI, your personal interests, and boundless imagination. Before we get started, let's quickly reflect. How do you feel about AI right now? Curious, excited, optimistic. Whatever it is, we'll turn it into confidence and creative momentum. You're ready to explore alongside us with the computer, Internet access, and free AI tools like hachPT and Leonard AI. Let's get started. 2. What is Artificial Intelligence?: Hello, and welcome to Lesson two. What is Artificial Intelligence? There's a quote by one of the world's top AI experts, Andrew Ing, that we love. Artificial intelligence is the new electricity. Just like electricity transformed everything that it touched transportation, manufacturing, communication, AI is doing the same quietly, quickly, and with incredible reach. It's like electricity in three ways. It's a transformative technology that's changing the world. It's democratized and everyone will use it, and it will be the foundation of future innovations we can't even imagine right now. Everyone has heard the term AI everywhere, but can you explain what it is and why it's important for you to understand? AI is transforming every aspect of life. It's reshaping education, art and music, transforming work, shopping, and social connections, and that's just the beginning. Understanding AI isn't only about learning to use HHIVT or generative tools. It's about grasping how smart systems learn, make decisions, and shape every industry. Having AI knowledge shows you're someone who thinks big, tackles challenges creatively and isn't afraid to lead, and the sooner you learn it, the more prepared you'll be for whatever path you choose. Now that we know how important AI is to our future, let's dive in and start at the foundation. AI or artificial intelligence is a part of computer science that's all about teaching machines to think and act in ways that mimic human intelligence. That means computers doing things that we usually associate with human brains like recognizing faces, understanding speech, making decisions, or even creating art and music. At its core, AI is about building machines that can learn from data, get smarter over time, and solve problems. Like giving your computer a brain, but one that trains and focus on specific tasks. What makes AI so powerful is its ability to recognize patterns, whether it's spotting trends in your music choices, predicting what your type mix, or figuring out what means that you love. AI learns by finding patterns in the data it's given and then making decisions based on this is a visual that represents the AI landscape. AI is a broad field that includes many different subsets, including machine learning, deep learning, and generative AI, each nested within the other to solve increasingly complex problems. Machine learning is a core component of modern AI that enables computers to automatically learn patterns from data and improve their performance over time. Then we have deep learning. It uses multi layered artificial neural networks to automatically learn complex patterns and representations from large amounts of data, powering breakthroughs like image and speech recognition, language translation and generative models. And now this is where things get really creative. Generative AI can actually create new content, like write stories, generate music, design images, or even produce videos from scratch. And generative AI or Gen AI is where we'll be spending most of our time in this class because it's a part of AI that you can use to bring your wildest ideas to life. Next, we'll learn how AI shapes our lives. 3. AI in Our Daily Lives: In Lesson three, we'll explore how AI shapes our everyday lives. Some AI systems have been around for years, personalized playlists, social media filters, and voice assistants, while others are evolving at lightning speed, like autonomous cars, smart glasses and generative art. From tailoring your feeds and securing your payments to optimizing driving routes and sparking new creative ideas, AI makes everything easier, faster and more efficient. Now, let's take a look at some of the ways AI shows up in our daily lives. Personalization for your social media and music feeds like Tik Tok, Instagram or Spotify. It tailors your existing feed based solely on your own behavior, likes watch time skips, follows. It reorders or filters the content you already see so it matches your taste. For example, Tik Tok for you pushes up the videos you're most likely going to enjoy. This gives you the content you like and helps creators find their audiences so you don't have to go through endless scrolling. Recommender systems are similar to personalization, but it offers suggestions based on your watch history like Netflix or YouTube. It introduces you to brand new content by comparing your habits with others. It finds users with similar tastes and suggests items they loved, even if you've never seen them before. For example, you and 5,000 other binged Sci Fi last weekend. So the AI will suggest shows or videos that those users loved. Can you imagine YouTube without a recommender system? You'd be scrolling for days through millions of videos to manually find what you Fraud detection provides security to keep you and your money safe. AI monitors your transaction patterns, time, amount, merchant, and flies anything unusual like a purchase in Tokyo if all of your spending is local. It learns to distinguish genuine anomalies from everyday purchases and then alerts the credit card company and you if there's suspicious activity. Voice recognition on your phone or home assistant Alexa or Siri. This is speech to text technology. The AI then uses language models to figure out your intent, like set the alarm or Play Taylor Swift. It even adapts to your accent over time. It allows your devices to be truly hands free. Soon voice recognition will become more seamlessly integrated into your daily life where you'll have conversations with your smart homes, cars, and various assistive technologies. Robotics automate everyday task from roomba vacuums that map your living room and dodge obstacles to clean your floors, to smart farming bots that survey fields, target weed, and streamline planting and harvesting, all by processing sensor data to navigate and work independently. Facial recognition unlocks your devices, powers, Snapchat filters, and verifies identities at airport securities. It analyzes and compares facial features from image or video frames to identify or verify an individual's identity. It works by extracting unique biometric data points like distance between your eyes, nose, shape, et cetera, from a face, and then compares that data against a database of known faces. Provides quick, secure access to devices and services without needing passwords or keys. It can also detect your mood by analyzing expressions and micro movements. This is not 100% accurate yet, but it will continue to get better. Imagine your future house suggesting music based on your mood. Image detection powers everything from self driving cars to medical diagnosis. In autonomous vehicles, AI vision systems differentiate objects like pedestrians, road signs, cyclists in real time. They interpret hand signals like a traffic cops stop versus a friend's wave and react to traffic light colors. In healthcare, AI scans X rays, MRIs and CT images to spot tumors, fractures, and other anomalies faster with higher accuracy, helping doctors diagnose diseases earlier and plan treatments more effectively. Lastly, in just the last couple of years, generative AI tools have exploded into mainstream. Generative AI creates new content from props. With the launch of Chachi PT in November 2022, generative AI achieved mass adoption and powering everything from conversational agents to content creation tools. Now everyone can use AI tools. Here's what's developing now, self driving cars that use image detection to identify objects and routes turning your commute into free time. Smart glasses instead of phones that project maps, messages, and apps right into your field of vision. AI study buddies that personalize your experience by tailoring lessons to your learning style. Now imagine what other breakthroughs AI could unlock next. Pause for a minute and ask yourself, how will AI reshape the future? What will your world look like when these ideas become reality, and what role will you play in bringing them to life? 4. Generative AI: Congratulations. You've made it to Lesson four, Generative AI, and this is where the fun begins. First, we'll give you an overview of GNAI and how it works. Then in Lesson eight prompt Engineering, you'll learn frameworks that take your AI experience from good to extraordinary. Now, what is generative AI? It's a category of artificial intelligence that can create new content. So think writing, designing, drawing, or even composing music. It's not copying, it's generating something new based on what's learned from existing data out on the Internet. And Gen AI is an absolute game changer. It covers so many areas from writing content for a blog, a presentation or a book, designing layouts, logos, or visuals, drafting speeches or script, crafting strategies and plans, going websites, planning events. You can even use it as a study body and so much more. A lot of companies are using it to work faster, but the real power is the ability for you to quickly create things that weren't even remotely possible before. Alright, so in this class, we'll break it into three Gen AI areas, text, images and video. These are the formats where most people are experimenting, but they're probably just scratching the surface. And in this class, we want to take it a bit further. With Gen AI tools, you simply type in prompts of what you want. For example, you can ask AI to explain organic chemistry as a funny podcast conversation, and now you can learn in a fun and interesting way. Or ask AI to design a futuristic shoe built for flying, and you get amazing results in seconds. Now, most of you are probably familiar with the idea of prompts. You type in something and it generates results. In the next couple of lessons, we're going to give you an overview of Gen AI for text, images and video. And then after that, we'll dive into where the magic happens, prompt engineering. Stay tuned. 5. Generative AI for Text: In the previous lesson, we mentioned that there's three types of generative AI that we'll cover text, images and video. So now let's get started with Lesson five, generative AI for text. When we talk about generative AI for text, we're almost always referring to large language models, LLMs. You might know it as hachPT or Gemini. LLMs are trained on an enormous amount of Internet data from webpages, news, Wikipedia, social media, chats, code, blogs, books and articles. It also includes layers of human feedback or handpick examples for fine tuning. LLMs are AI systems trained on text data that generates new sentences based on examples that it's seen. Train on billions of words from books, Internet, websites, and chats to recognize language patterns. During training, which is how it learns, the model digests massive amounts of writing. It notices which words often follow others. So for example, peanut often is paired with butter, so it builds a giant map of language. So when you send in a prompt, the model then predicts the most likely next word, added predicts the next word, and so on, and as a result, it chains together a full response in real time. Now, let's walk through a couple of basic examples of prompts and its output. Let's try something simple. Have it write a one verse rhyming poem about your day at school. As you can see, because you said school, it generated language having to do with racing down the hall, chalkboard, and textbook in a way that comes together as a poem that rhymes. Pretty impressive that it came up with this from such a basic. Here's another example that might be helpful to you. Explain the difference between atoms and molecules using an analogy to a 13-year-old. Asking it to explain something using an analogy is actually one of my favorite approaches when I'm trying to learn something. This prompt will tell AI to generate results using concepts, language, and subjects that 13 year olds can understand and find interesting. You'll see that it chose egos to explain the difference. It describes how building with ego is similar to atoms and molecules, which is a really clever way to explain and make it easy to visualize the difference. No, we want to encourage you to go way beyond that and later we'll show you how. Think of it like having a really smart partner that you can share thoughts with, brainstorm together, and co create at any time of the day. There are many LLMs out there, but we're going to briefly compare Chachi But, Gemini, and Claude so you understand the strength and weaknesses and know what to look for when picking out the right tool. This is a basic overview of the types of things to look for when comparing LLMs. ChachiPT is a good general purpose tool. It's trained on diverse Internet data, so it mirrors real world language and biases. The knowledge is only updated to about a year prior, so we will not have any recent news or trends. Gemini is good for deeper research because it's built on Google web call and real time search. So it always pulls in fresh up to the minute info. And Cloud is an LLM with safety and steerability baked in. So it's trained on broad web sources plus human feedback refinements, and the knowledge cutoff is a few months back. So when choosing an LLM, purpose, data sources, freshness and safety features are some of the things that you should consider. Now, AI is constantly evolving and the results are not always accurate, so it's important to check with additional sources. We'll cover more on that in Lesson nine responsible AI. We'll end this lesson with a reminder. Using GenaI for text is not about replacing you, it's about amplifying your voice. 6. Generative AI for Image: Get ready to unleash your imagination because we're diving into generative AI for images. Imagine painting entire worlds with a single sentence or exploring surreal textures, lifelike portraits and unworldly scenes in seconds. It creates jaw dropping visuals that capture your imagination and takes you to worlds you've never dreamed. That's the power of AI image generators. But how does it do this? The engine behind AI image generation is image diffusion. What is image diffusion? Think of diffusion like sculpting a statue from a block of marble only in reverse. We start with the noise, random pixels, and carve away the chaos until a clear image emerges. During training, a model learns to add noise to images step by step, which is forward diffusion. Then it learns the reverse, how to remove that noise and recover the original picture. Then at generation time, it skips the forward step and only runs the reverse process gradually denoising to reveal a brand new image. It learns to do this by being exposed to millions of paired examples, clean image plus noisy versions, and then trained to predict what the next clean image should look like at each step. Over time, it masters billions of tiny noisy moves, learning to fill in details, textures and colors and shapes. And when you type in a prompt, the model starts from pure noise and follows its de noising recipe, guided by your text to compose an original visual that matches your description. Diffusion gives us flexibility so that we can control style, level of detail, and creativity by tweaking how many steps we run or by fine tuning the model on specific art styles. Now let's take a look at some examples of AI image generations. You can create story driven animations, lifelike portraits, studio shots, artistic pieces to surreal world straight out of your dreams. And what are people using it for? Let's take a look at Mid Journeys Explore feed. So much animated stories, three D characters, vintage posters, art, storyboards, interior design, fashion, product shots, logos, a list goes on. Ultimately, if you can imagine it, you can generate it. Now, let's take a look at some examples of prompts. The instructions you give AI to describe what you want. We'll start with simple and progress to more details so that you can see what it can do. A puppy filled with joy standing in the middle of a dream, surreal candy elan cotton cloud, light pink, light purple and blue. Here's an adorable, happy puppy. Fine, right? Next, a close up of a teenage Indian boy wearing a translucent hoodie that is lined with flowing teal light, studio photoshoot, minimalist background, muted background colors. As you can see, incredibly realistic studio quality image of the boy generated from just a few words. Next, we want to share this example to show that the model can be bias. Sometimes you have to be specific about the kind of people you want to see or results might lack in diversity. Here we specified three diverse girls. Really stunning results with diversity and background, but as you can see, even though we gave it instructions to be diverse, the features like their nose and face shape are still very similar. Bias and how to address it is something that we'll discuss later in this class. Now we have an example of a longer prompt with more details. This is starting to get advanced where you're providing more descriptions for different elements you want in the image like rustic wooden bar and a tiny forest cafe, hanging moss and miniature glowing lantern toy cups on the counter. Let's see what it generates. Look at the intricate details in this image. The bar is full of tiny little lanterns and cups just like the front. Here's another example with more details, as well as style references to the artists they want this to look like. As you can see, it created very specific style based on the artist. And the last example we have uses expert knowledge of photographers, including photography terminology and specific camera lens. And because of the equipment description, look at how realistic this looks. You can see every detail on the surface of that possible. So as you can see through these examples, there's no limit to what you can create. Later we'll show you how to structure your prompt so that you can have more control to generate hyper creative results. So why AI image generation rocks, it's fast. It can bring your ideas to life in seconds. Your prompts set the only boundary to your imagination. It creates unique visuals every single time. And we also have things to be mindful of. It can generate unpredictable results, sometimes weird or off target. Some models can echo stereotypes and biases. We'll get into that in Lesson nine, responsible AI. And lastly, not every tool nails it every time. So make sure that you take the time to explore different tools. They all have strengths and weaknesses in what it can generate. Now, there are many AI image generators out there, but they all follow the same playbook. You type in a prompt and they deliver an original visual. We're going to quickly look at Chachi BT, Leonardo AI and Mid journey just so that you can compare the tools. Chachi BT isn't just for texts. It interprets concepts brilliantly and spins up quick free visuals. It's perfect for when you want fast and easy to understand results. Then we have mid journey on the opposite end of the spectrum. It's built for jaw dropping artistic visuals, think ultra stylized, high quality images that push the boundaries of design. A lot of professional designers and artists use M one. Then we have Leonardo AI, which sits in the middle lending flexibility in formats like images, video clips, custom templates, and lots of feature upgrades to make your process easier. We recommend Leonardo AI as a starting point since it can generate both images and videos and include lots of features to make creating easy and fun. Now that you can see what AI image generators can do, start thinking about what you want to create and let your imagination run wild. Later we'll dive into how to get hyper creative results. 7. Generative AI for Video: Welcome to Lesson seven Generative AI for video. Video is everywhere these days, from TikTok and YouTube to classroom presentations and brand campaigns. And thanks to AI, what used to take weeks of shooting, editing, and sound design can now be sketched out in minutes. You've seen AI make art and text, but video is the next frontier. Imagine taking a single image and adding motion, camera moves, parallax effects, even simple animations in just a few seconds. Or picture typing out a scene description and watching it play out like a mini movie complete with sound and music. Tools like runway and Sora are already doing just that. You type Sunset over Neon City with flying cars, hit generate and boom, you've got a moving club to share. AI video generators are getting better and better every day. Just like the generative text and image, videos can also be generated from prompts. They range from simple motion effects on still images all the way to full length films with scripts, soundtrack, editing, and so much more. You can explore your wildest ideas without any limits, test out different concepts, scenes, lighting, costumes, and any detail you can think of. This used to be a massive production, but now you can bring any idea to life instantly. With a single clip of You Talking plus a static image of a character, you can now generate expressive character video. Powerful tools like Sora allow you to create mind blowing videos by simply describing it. Here you can see everything from extremely detailed movements, realistic scenes, cartoon animations, stylized shots with nostalgia, mood and emotion to bring any unexpected ideas to life. Incredible that within minutes, you can create something that used to take months of work from actors, directors, and a production team to create. With Google's Vo three, you can go even further and with high definition visuals, dialogue and soundtrack all rolled into one. You can literally make cinematic quality films. These tools can create hyper realistic videos and expand on scenes. So you can take one scene and expand on it to build an entire storyline just with prompts. If you could create anything with AI video, what story would you share with the world? It 8. Prompt Engineering: Welcome to Lesson eight prompt Engineering. This is the most essential part of this class. Now that we know what Gen AI for text, images and video can do, let's talk about how we generate impressive results. If you've ever tried, sometimes it's hard to know where to start because the possibilities are endless. This is where prompt engineering comes in. So let's break it down. What is prompt engineering? It's how you talk to an AI to get the best possible response. Think of it as a mix of creativity and strategy, like crafting the perfect question to get exactly what you want. Prompts are what we ask AI to do. Prompt engineering is how we ask AI to do something. And why is it important? AI models like Chachi PT are powerful but not mind readers. The way you ask something totally affects what you get back. Words generate results, and the better you are at talking to AI, the more power you have to do everything better. Here's a way to imagine it. Think of AI as your creative assistant. If you give it vague instructions, it might guess wrong. If you're specific, it fails it. The bottom line is prompt engineering helps you steer the AI towards the exact kind of response you want. It's a skill you can build and get better and better over time. So how do you do it well? You give the AI a prompt. That's your message or request. The better you prompt, the more helpful and accurate the response. Well, it makes a great prompt. It includes key prompt elements which you'll learn in this class. Now, keep in mind the way you prompt for text is different than the way you prompt for image and video creation, and we'll walk you through our framework for both. Let's start with prompt engineering for text. Let's break down how to actually talk to AI in a way that gets you the best results. You can't just say write me something cool and expect it to reach your mind. With prompt engineering, you have to give it the key pieces of information that it needs. So imagine yourself as a director of a movie scene. You have to tell the actors what their roles are, where the scene takes place, the mood, and how to deliver their lines. If you don't give clear direction, the scene flops, right? That's where this easy framework comes in. Path PATH. P is for persona. So who should the AI pretend to be a scientist, social media influencer, a food critic? Giving the AI a persona helps shape the voice and the vibe of what it creates. Next, we have A for audience. Who are you talking to? A 5-year-old, a teacher, a group of teens. It matters because how you say something totally changes depending on who you're talking to. Next, we have T for task. What exactly do you want it to do? Write a poem, summarize a book, give you advice, be clear so it knows the job. Then lastly, H is for how. What should it sound like? Do you want it in a list format? One short paragraph, funny tone. Use this part to steer the style. Using Path makes your prompt way more powerful, and the response is way more useful. Let's walk through a couple of examples of the path framework. Let's say you're planning a school trip to Tokyo and you need some ideas for what to do. You want to make sure this once in a lifetime trip is unforgettable for everyone. So we're going to go through each element together. For Persona, we're going to put a travel guide because we want AI to have expertise in world travel. We want to make sure it's coming up with results for teens on a school trip. This will make sure it gives you activities that are fun for teens to do as a group. Then you want to give it the task. In this case, fun places to visit in Tokyo. And lastly, how you want the results. You probably don't want to read through paragraphs of text. So let's say three short bullet points and make it fun and casual. Now, let's put it into Chachi PT and see what it generates. Keep in mind, this framework helps you remember the prompt elements, but you don't need to capture it in this order, and here are the results. It gave you the places to visit and descriptions. We encourage you to have back and forth conversations to dive deeper or ask more questions to get the information you need. Now let's take a look at another prompt example that has more details. Let's say you love fashion and you're thinking about starting a fashion line and you want to do some research to find out what's involved. So first, we identify the persona influencer with a passion for streetwear. Immediately tells AI adopt an enthusiastic conversational voice that sounds like a streetwear insider. The audience is inspiring young creators who want to start their own clothing line. This tells AI to use language for someone getting started. So jargon free and encouraging language. The task is to provide tips for a building, not just any brand, but a brand that stands out. So this tells AI to zero in on tips that make your brand unique over something generic. And lastly, deliver the information in a list of five tips, so it keeps it focused and concise. And let's see the prompt in action. Great tips and specific descriptions personalized for streetwear. You can also ask it to elaborate or do a deep dive into certain things. Treat it like your partner. The more you talk to it, the better your results will be. And now that you know the path framework, here are a few bonus tips that make a huge difference when writing prompts, especially if you want more control or creative results. Adding context massively improves the content. If you've been talking to AI for a long time, remind it what's going on. Say things like based on what we've talked about, or copy and paste a summary to help it stay on track. Providing examples makes a big difference. Length or constraints is to set the limit. So be specific. When it's short, say, keep it under 150 words. W the main ideas, try give me three bullets. AI follows instructions, so give it the guardrails. And inspiration or tone models is like setting the vibe. This one's fun. You can guide the style by giving reference, like write this in the tone of Billy Eilish song or make it sound like a Nike ad. That's how you get more personality. Tiny tweaks in your prompt can totally change the results. So the more specific you are, the more original it becomes. Now that you have the framework to generate strong results, we want to encourage you to go beyond using AI for quick task. Instead of using AI just for one and done task, think of it as an all in temique for your whole journey. Whether you're working on a big project, creating your club's activities for the year or planning a fundraising event, AI can help every step of the way. Brainstorm, plan, ID and collaborate together. It's not just a shortcut. It's a strategy. Now, let's get really creative with prompt engineering for images. Have you ever explored image generation tools? Do you ever just get stuck not knowing what to even type? Then you try something and it doesn't come out the way you imagine. Sometimes it's unexpectedly awesome and other times it's just downright bizarre. That's why learning and practicing how to talk to the AI with better prompts is key. You're basically the creative visionary and your words shape the whole scene. Now, we do want to remind you that for this class, we're going to focus on your foundational skills, helping you articulate your ideas so that you can bring it to life accurately. And then later on, you can try different tools and features as you continue to explore. Prompt engineering for image creation is the art of visual language. And the more vivid your description of it is, the clear your creation. Prompt engineering for images can go from very basic to very complex, and sometimes it's hard to know what to even type. To address the creative block, we have a simple framework to get you started. First, let's nail down the basics with the threes framework. These three elements, subject, setting, and style are the main ingredients for any AI generated image. Think of them as the building blocks that tell the AI exactly what you want. By giving AI clear instructions around these three things, you can get images that actually match your crazy ideas instead of random results. Subject is what you are creating. The main focus of your image. It's the start of the show. Examples are a disco ducky, a futuristic cityscape, a cozy bedroom, or even a neon lit robot, whatever you want the AI spotlight to be on. The more specific your subject, the less guessing the AI has to do instead of just duck, try discoducky and watch the image pop. Setting is where it takes place. Is your disco ducky on a dance floor, an outer space or chilling at the rooftop party? Changing the setting can totally flip the vibe. Same subject, totally different mood depending on where you drop it. Lastly, what is the visual style? It's all about how your image looks at a glance. Are you going for cartoon vibes, realistic photography, painting, anime or slick three rendered graphics? Picking a style helps AI understand which art techniques to mimic. So if you say watercolor, it'll soften the edges and blend colors like real watercolor painting. Here's an example of the same subject with different styles. The top left is realistic then painting, drawing, and the last one is embroidery, which is fine. Look at the details on her face. Isn't it amazing? Master these three elements and you'll be able to craft almost any visual you can imagine. Now that you've got the basics down, subject, setting, and style, it's time to level up. Think of threes framework as your recipes foundation, and creative boosters are the spices and sasings that make your image pop with personality. When you layer in these elements, your visuals become truly original and unexpected. All right. So let's start with details. This is what makes your results unique. Practice describing things in detail. The more practice, the better you will get at visual language. Details can be applied across any element. The more you provide, the better. In this example, you'll see the details I included for the cars pretty long, futuristic car, sleek light blue body with vibrant iridescent accents on the seats and wheels. And we have perspective. It's all about the camera angle and point of view, how close, how high, how weird the vantage point is. Here you'll see a worm view, which is a low angle camera position. And see how this just makes the image so much more striking. It's one of the easiest ways to add a WOW factor to your image. Color choices determine overall palette and mood. Are you leaning neon, muted, metallic? The colors can take your image from generic to having its own signature look. The mood sets the emotional tone for your image. It's the vibe that makes someone feel something. Telling the AI, I want this to feel dreamy or to feel intense helps it choose color palettes and lighting styles and atmosphere automatically, and it does it in a way that all works together. Here's an example that combines these elements we just discussed. The hoodie with a glowing circuit pattern, mood feel bold and electric, like a moment of anticipation before something epic happens. Cool blue and deep oranges with pops of neon green. You see how everything just comes together so well. Next, we have illumination, which dictates the lighting, daylight, neon glow, harsh spotlight. So saying soft ambient lighting tells AI you want it to be cozy and gentle. Next, we have era. Era places your scene in a time period, past, future, or a mashup of both or whatever you want. It can completely change the image, and adding the era gives context and story. So 90s aesthetics instantly calls up nostalgia for cassette tapes and game boys or Renaissance instantly conjures up images of grand marble sculptures, ornate patterns and classical designs. Lastly, we have material and texture, and I want to talk you through these together to show you the difference. Material is what it's made of, while texture is what it feels like. So examples of material is like chair made of jelly or tiger sculpted in marble. Material transforms your subject into something unexpected, a marble tiger instantly feels grand and classical while a chair of jelly feels playful and surreal. Textures describes how surfaces look and feel. It's shiny, cracked, reflective. It gives your image feeling, helps the AI understand what the surface looks like. Often adding the texture makes a huge difference. Each one of these creative boosters adds a distinct flavor to your image, but it does take practice. You don't have to use them all, but the more you use them, the easier you'll get at describing your ideas. So don't be afraid to mix things up, get weird, surprise yourself. That's where the magic usually happens. Let's give it a try on Leonardo AI. As a reminder, there's many tools out there. We like Leonardo AI as a starting point because it's easy to use and lots of features to explore. They are also integrated with Canva, which is a tool you're probably familiar with. When you land on Leonardo AI, you'll see the main menu bar in the center. You can see that there are different features, but you can just focus on image and video. And as you scroll down, you'll see community creations. This is where you can get inspiration from what others have created. You can sort through what's trending new or top favorites. You can also just select different styles or subjects like animals or characters. And as you can see, there's a wide variety here. When you roll over, you can see more information like the creator and the prompt. And if you click on one, you can see the whole prompt. I All right, let's try generating an image. So I'm going to click on image here, and then you're going to land on AI creation. So this is my creation space. So this is where I've been exploring different ideas and prompts. On the left, you'll see there are image dimensions, size, and number of images. Number of images is basically how many options it provides you. So you see I have four selected here, so it provides four different variations. It's always good to see the different options so that you can select the ones that you like. And up here, there are different features that help either enhance your prompt or there's different styles and presets. So when you have time, you can explore those other features as well. So let's start creating an image. I'm going to do a side view of a young woman let's see. Wearing a structured jacket with long, wavy glowing hair, looking out into the distance hyperrealistic base. In the background, let's put some neon glowing lights. I'm just going to reiterate this style and say, realistic. Before we generate, let's look at our prompt to make sure we've applied the threes framework. As a reminder, we want to include the subject, setting, and style. So our subject is a side view of a young woman wearing a structured jacket. Our setting is neon glowing lights in the background, and our style is photo realistic. I've also included additional details like long, wavy glowing hair, which is the texture and looking out into the distance to create mood and emotion. Now, let's see what it generates. Ooh, I love the mood it created. This is kind of nice and this, too. So what you want to do is just keep playing around with it. If you like it, you can download it. But there are things that you can do to either improve it or just keep experimenting. So here when you click on it, you can add an image. So if you want to add another person, you can select this and go into your library or your collections or your other generations and add to it. You can adjust the prompt, and you can play around with some of these AI features like edit with AI, where the AI will add more descriptions to your prompt. You can do a new prompt. You can improve the prompt on your own, or you can even upload an image and have AI describe the prompt for you as a starting point. So there's lots of features that help generate your images that you can continue to play around with. So I encourage you to keep iterating. For example, here, maybe we can try a front view of a young woman, and let's say she has dark skin. And let's say maybe the neon lights are blue. Let's see what it does. Cool. Changes it, but captures the same essence of the image. So again, you can just play around with it forever. It actually gets kind of addicting. But the more you tweak, the closer you will get to what you're looking for. And sometimes you just have to be open minded and just see what it comes up with and just explore. Now it's your turn to try. Use the threes framework as your foundation, then level up with the creative boosters. Remember, the creative process is about experimenting and fine tuning. Have fun with it. Now let's add some motion. As impressive as AI video generation can be, creating a short movie can get complex fast with the need for script writing, sound design, editing, and so much more. So in this class, we're keeping it easy and simple for you. We'll give you basic tips to layer on movement to your images. The way you want to think about adding movement is to build on prompt elements for images and then layer on the action, which describes what's happening. So the motion is what moves and how does it move. Play around with prompts like adding a slow zoom in or pan effect. Make the subject rotate, add movements to patterns or backgrounds or details, make something walk, talk, or giggle. The possibilities are endless. Let's take a look at a couple of examples. We saw this image earlier. Our prompt only said glow changes to blue, yet it incorporated realistic movements of the subject as well. As the light changes, the shadows adjust really nicely. Here's one where a puppy that's half plush and half real runs towards us. Take a look at the movement of his fur and ears. Do you just want to pick them up? And here is our girl styled as embroidery. The prompt was just threads moving, open eyes. So while the threads didn't move quite like what I was hoping for, it moved the whole girl, and I actually really like the unexpected touch. Sometimes the results surprise you and you just have to be open about it. Now let's add a little bit more details. Here, we describe the chrome horse walking, but also how we want the texture to change. You'll see the AI makes a changing surroundings, lighting, and reflections or harmoniously as it moves across the page. This is an example of incredible movements underwater. The fluid motion of her hair, her dress, and flowers, so impressive. And I was playing around with ideas for museums of the future where you learn about things by interacting with them. I not only use AI to generate what it looks like, but added motion to bring the interaction to life. Next, we have an example of telling the eyes who drift to the right and tracking the fish. You can see how that automatically adds a left to right pan as the fish swims out of the frame. Let's try adding some motion to your images. So as always, get some inspiration from community creations, especially when adding motion. You can click on these and just see what others are prompting. So I'm going to click on video, and I'm going to add an image. So you can either upload your own image or look in your creations. So I'm going to select this one, and I'm going to keep it simple and just say wind blowing her hair. And let's see what it does. So motion does take a couple of minutes longer, and here is the outcome. You see how it moved her hair, but also it did a very subtle pan of the camera going from right to left, and then her eye movements as well was added. Now I want to try Leonardo's motion control. This has preset camera movements already. So let's try Let's try eyes in. That's kind of dramatic. And then I'm going to keep the description here and we'll see what it does now that it has the eyes in motion control added to it. And here we go. Pretty cool. If you want to try Leonardo's other motion control options, here are some other examples. The motion control feature is a quick way to add dynamic movements to your images, but make sure you're trying your own ideas, too. As you can see, there's lots of ways to add motion to your creations. The key is to keep experimenting, test out different kinds of movement, different ways to prompt and explore the new features. Most of all, have fun with it. Okay, let's put it all together. Now that AI can create text, images and video, let's treat it as a full time partner for every step, not just a one time helper. For example, try a fun personal project like your very own comic book. Use an AI tools to help you brainstorm story ideas, main character, setting, title, and style. Then once you have the core elements work together to write the script and generate images, and add motion to give it a final touch. And if you want to try something more ambitious, here's an example of how you can use AI for good. Let's say you really care about mental health and you want to throw an unforgettable fundraising event. You can have AI help across the entire process from the theme to generating a mood board, brainstorming activities, planning the budget, and helping to generate copy and cool visuals to promote the event. I hope these examples have inspired you to use AI as your partner to do big things. Now, to get you started, we put together a list of hundreds of prompts that will get your ideas flowing. These prompts make a huge difference. There are things on this list that I guarantee you have not thought of, how to describe lighting, unique perspectives, and different ways to describe mood. Download and test them out, swap one out for another and see how that changes the results. The more you play around with it, the more original your creation will be. And remember to embrace the unexpected. 9. Responsible AI: Using AI with safety and responsibility should always be top of mind, and you have the power to use it with fairness, inclusion and truth. Let's start with AI risk. Remember, AI mirrors us. It's built by people, learns from human data and influenced by our choices. If we feed it unfair and false patterns, it will afflect them, including our biases and flaws. Watch out for hallucinations. This is when AI makes up stuff. Sometimes AI will confidently state a false fact or fabricate a reference. It's not lying. It's just filling in gaps. Stereotypes and bias because training data often reflects real world biases. AI unintentionally reinforce harmful stereotypes and biases that exist in our society. Deep fake is when people use AI to generate or manipulate audio, images or video to create realistic but fake content. It can be used to spread false news or impersonate people. We've just explored the challenges. Now, here's the best part. You have the power to make choices that shape its output, and ultimately the stories and images the world sees. Here are some tips to use AI intentionally. The first is to keep an eye out for biased results. For example, if you ask for an image of a CEO, the results may default to a white man. You can counteract this with specific prompts around diversity to posture inclusion rather than reinforcing the bias. Be mindful of what the results are and ensure that it's a good representation of what you want to be. As you learned, AI hallucinates, I sometimes makes up things. Remember to double check or verify from reliable sources. If you use existing work from photographers, writers, or artists that inspires your creation, give them a shoutout credit and acknowledge them. It's a way to show respect. And lastly, always use good judgment. When you're creating something pause and think. Could this be harmful, misleading or taken out of context? If it doesn't feel right, try a different path or get thoughts from family or friends. Just because you can generate it doesn't always mean you should. You're not just the users of AI. You have the power to shape it, set positive examples, and help build AI that keeps creativity and responsibility hand in hand. When and how to use AI can sometimes be confusing. Here's an AI usage spectrum to give you perspective. There are three ways to use AI. The first level is AI as a research partner to get ideas and information. Then AI is a collaborator, where you and AI are co creating. And third, AI as an agent where AI takes action autonomously. How should you be using AI? Level one and two. Use it as a partner to enhance your work with depth, knowledge, and creativity. Don't use it to replace you. It's not a shortcut for learning or doing meaningful work. Like a pen, camera, or instrument, you decide what to do with. So how do you know when to use it? Generative AI is best when you need a creative starting point, a productivity boost, a second brain to brainstorm, or a sounding board. Here's where we leave you with a challenge. The world doesn't just need more AI users. It needs curious minds, people who care, people who create with purpose. Let's talk about your role in the AI Revolution. AI is everywhere. Let's start spotting it. For example, notice when your social media feeds adapts after you like, search or comment on a topic or how new AI features let you do in seconds, things that you couldn't do before, because you would have spent hours doing it if you didn't know how. Keep an eye on gadgets like AI powered glasses that translate signs in real time or earbuds that transcribe conversations on the fly. Second, learn AI. Say curious and stay ahead, ask questions, try new tools, dive into many projects. Not because it's optional, but because it's the lens through which you'll create, lead, and transform our world. And lastly, imagine the future. Think of ways you can combine AI and your personal interest to create with purpose, whether it's art, sports, climate, mental health or activism. Use these powerful AI tools as your canvas, your lab, your megaphone, and dream beyond imagination. 10. The Project: Congratulations. You've made it to the end of the class. By now, you've mastered core AI concepts, taken a deep dive into generative AI for text, images and video, and put our path and threes prompt frameworks to work. You also know the key limitations of these tools and the best practices for using AI responsibly so you can experiment with real confidence. Now it's time to apply what you've learned into your class project. Your challenge is to dream a future beyond imagination. Use generative AI tools to dream up a future career that blends everything that you've learned about artificial intelligence, your personal interest, and boundless imagination. As we said, AI is evolving the world very quickly. Jobs will look very different in the next few years as technology advances. To prepare yourself, start thinking about what you're passion about or how you want to give back to the world. Are you a global oceanic scientist tracking turtles across the globe, a fashion technologist engineering mood based apparel, or a virtual brain surgeon overseeing doctors from across multiple regions? This is the time for you to think big, think far, and think wide. Here are some helpful questions to get you started. What do you do that brings you excitement? What do you care about in the world? Think about an existing job you're interested in. If technical limitations did not exist, how would you re imagine it? Once you've imagined your career, let's bring it to life. Research what's possible, using tools like Chachi PT or Gemini, come up with the job description and human skills required for this job. Four to five bullets is good for each. Then use a generative AI tool like Chachi PT or Leonardo to generate your dream career. Get creative. Remember to explore using the different prompt elements, then iterate and fine tune. Here are some examples of future careers from our students to spars some ideas. Thank you for taking creative AI, unleash your imagination. We can't wait to see your future careers. Please be sure to share it on the Project Gallery. Good luck.