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In this course, you will learn:
- Discover the pros and disadvantages of ChatGPT, Midjourney, GitHub Copilot, Stable Diffusion, and other popular models.
- Recognize the "Five Principles of Prompting" as well as popular tips and tactics for producing professional-grade results.
- Use everything you've learned to create new AI solutions for 15+ real-world applications involving text and image production.
- Understand the Python code techniques and tooling required to run and scale AI consistently in production, and then begin working as an AI Engineer.
Syllabus:
- Five Principles of Prompting
- How does AI work?
- Standard Text Model Practices
- Advanced Text Model Techniques
- Deep Dive on LangChain - Coding
- Deep Dive On LangGraph - Coding
- Proven Prompting Techniques
- Prompt Optimization & Evals
- AI Text Model Projects
- Standard Image Model Practices
- Advanced Image Model Techniques
- AI Image Model Projects
- Deep Dive on ChatGPT
- Deep Dive on GPT-4
- Deep Dive on Midjourney v6
- Deep Dive on Stable Diffusion XL
- Deep Dive on DALL-E 3
- Deep Dive on GitHub Copilot - Coding
- Multimodal Models
- Deep Dive on other AI Models
- AI Tools we've tried
