Generative AI is a subset of deep learning. It uses AI neural networks and can process both labelled and unlabelled data using supervised, unsupervised, and semi-supervised methods.

It refers to a class of artificial intelligence models and algorithms designed to create new content. These models can generate text, images, music, and other forms of data that mimic human-created content.

Generative AI applications are built on top of large language models (LLMs) and foundation models. LLMs are deep learning models.

LLMs are a subset of deep learning. LLMs are AI models that power chatbots, such as ChatGPT, Copilot, Google Gemini, etc. LLMs refer to large, general-purpose language models that can be pre-trained and then fine-tuned for specific purposes.

What you'll learn

Learn Generative AI from scratch.
Get a quick overview about Generative
What is a Transformer Model
Learn about Large Language Models
Generative AI Applications
Generative AI Challenges
AI Chatbots Models with examples

Who this course is for:

Those who want to learn Generative AI and its models
Those who want to learn what is a transformer model
Learn about the process of the Transformer Model
Those who want to understand the process of generating new content with Generative AI
Gain a deep understanding of Generative AI

**Course Lessons**

Section A: AI Introduction

1. Artificial Intelligence vs Data Science vs Machine Learning vs Deep Learning
2. Deep Learning Types

Section B: Generative AI and its techniques

3. What is Generative AI
4. Techniques for implementing Generative AI

Section C: What are Transformer Models

5. Generative AI – Transformers

Section D: Large Language Models

6. Large Language Models (LLMs) and its use cases

Section E: More about Generative AI

7. Generative AI - Applications & Challenges
8. Generative AI - Chatbots (Model Types)
9. Generative AI - Features & Examples

Section F: Prompts and AI Chatbots

10. What are Prompts
11. Popular AI Chatbots

Section G: ChatGPT4o - Writing Prompts

12. ChatGPT4o Overview and Use Cases (Prompts)

Paula A.

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