This 12-minute video provides a practical roadmap for software developers looking to transition into AI engineering. Learn a three-step approach starting with mastering essential tools through Scrimba's AI Engineer Path, followed by expanding skills through hands-on projects, and finally deepening knowledge of foundational models. Explore recommended resources including the LLM Engineer's Handbook and Chip Huyen's AI Engineering book, along with supplementary materials from HuggingFace Learn and other sources. The content is structured with clear timestamps covering everything from tool introduction to final recommendations, emphasizing that AI engineering is more closely aligned with software engineering than other data-related disciplines. Avoid analysis paralysis and start your learning journey with these curated resources designed specifically for developers.
Overview
Syllabus
- Introduction: 0:00
- Step 0 - Learn the tools: 1:13
- Sneakpeek of Scrimba UI: 2:52
- AI Engineering Path modules overview: 4:41
- Step 1 - Expand skills through projects: 6:42
- LLM's Engineering Handbook Project: 7:43
- Step 2 - Learn foundational models in depth: 8:58
- AI Engineering book by Chip: 9:24
- Final words: 10:48
Taught by
Yacine Mahdid
