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Learn Generative AI

Master generative AI, from prompt engineering to building applications with LLMs.

Course contents

This course covers everything from GenAI basics to advanced topics:

1. Introduction - What is Generative AI
2. Get Started - Your first AI app
3. Installation - Setting up tools
4. LLMs - Large Language Models
5. Prompt Engineering - Crafting effective prompts
6. Zero-Shot - No examples needed
7. Few-Shot - Learning from examples
8. Chain-of-Thought - Step-by-step reasoning
9. OpenAI API - Using GPT models
10. ChatGPT - Conversational AI
11. GPT-4 - Advanced reasoning
12. Claude - Anthropic's AI
13. Gemini - Google's AI models
14. LLaMA - Meta's open models
15. Embeddings - Text representations
16. Vector Databases - Storing embeddings
17. RAG - Retrieval-Augmented Generation
18. Fine-Tuning - Customizing models
19. RLHF - Reinforcement Learning from Human Feedback
20. Agents - AI agents and tool use
21. Function Calling - Connecting to APIs
22. Multi-Modal - Text, images, and more
23. Image Generation - DALL-E and Midjourney
24. Audio Generation - Text to speech
25. Video Generation - AI video creation
26. Evaluation - Measuring AI performance
27. Hallucinations - When AI is wrong
28. Safety - Responsible AI
29. Ethics - AI ethics
30. Bias - Addressing AI bias
31. Guardrails - Output validation
32. Streaming - Real-time responses
33. Tokens - How LLMs process text
34. Context Window - Managing context
35. API Design - Building AI APIs
36. Cost Optimization - Reducing expenses
37. Security - AI security practices
38. Deployment - Going to production
39. Monitoring - Tracking performance
40. Best Practices - Tips and patterns

Who is this course for?

• Developers building AI applications
• Product managers understanding AI capabilities
• Anyone interested in generative AI

Prerequisites

• Python basics
• API understanding
• Basic machine learning concepts

Resources

• OpenAI Docs
• Anthropic Docs
• LangChain