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Overview
Intro to AI Engineering is a foundational course designed to introduce learners to the core principles, tools, and practices involved in building and deploying AI systems at scale. The course bridges the gap between AI research and real-world application, providing practical knowledge on how to turn AI models into production-ready solutions. Learners will explore key areas of AI engineering, including model development, data pipelines, infrastructure, deployment strategies, and model monitoring. The course covers essential tools and platforms commonly used in the...
Syllabus
- Intro to AI Engineering
- 1. AI Engineering basics
- 2. The code so far
- 3. Polygon API sign-up & key
- 4. Get an OpenAI API Key
- 5. Overview of how the API works
- 6. An API call: OpenAI dependency
- 7. An API call: Instance and model
- 8. An API call: The messages array
- 9. A quick word about models
- 10. Prompt Engineering and a challenge
- 11. Adding AI to the App
- 12. Tokens
- 13. Playground
- 14. Temperature
- 15. The "Few Shot" Approach
- 16. Adding Examples
- 17. Stop Sequence
- 18. Frequency and Presence Penalties
- 19. Creating Images with the DALLE 3 API
- 20. Intro to AI Safety
- 21. Safety Best Practices
- 22. Solo Project - PollyGlot
- 23. You made it!
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