Generative AI: Getting Started

What You Will Learn?

• 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.
• Who this course is for:.
• **Course Lessons**.
• Section A: AI Introduction1. Artificial Intelligence vs Data Science vs Machine Learning vs Deep Learning2. Deep Learning Types.
• Section B: Generative AI and its techniques3. What is Generative AI4. Techniques for implementing Generative AI.
• Section C: What are Transformer Models5. Generative AI – Transformers.
• Section D: Large Language Models6. Large Language Models (LLMs) and its use cases.
• Section E: More about Generative AI .
• 7. Generative AI - Applications & Challenges8. Generative AI - Chatbots (Model Types)9. Generative AI - Features & Examples.
• Section F: Prompts and AI Chatbots.
• 10. What are Prompts11. Popular AI Chatbots.
• Section G: ChatGPT4o - Writing Prompts.
• 12. ChatGPT4o Overview and Use Cases (Prompts).