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AI Engineering Skills path 👇 1. Word Embeddings (Start here) Understand how text becomes numbers. https://youtu.be/wgfSDrqYMJ4 https://youtu.be/gl1r1XV0SLw 2. Vector Databases Learn how embeddings are stored + searched (semantic search). https://youtu.be/gl1r1XV0SLw 3. RAG (Retrieval Augmented Generation) Connect your data to LLMs. https://youtu.be/sVcwVQRHIc8 4. LangChain & LangGraph Build real LLM apps and agent workflows. https://youtu.be/qAF1NjEVHhY 5. Agent Observability (LangSmith) Debug, trace, and understand what your agent is doing. https://youtube.com/playlist?list=PLfaIDFEXuae2CjNiTeqXG5r8n9rld9qQu 6. LLMOps (Production Systems) Deploy, monitor, evaluate AI systems. https://www.datacamp.com/blog/llmops-essentials-guide-to-operationalizing-large-language-models https://www.redhat.com/en/topics/ai/llmops