Free AI Engineering course covers foundation models, evals, prompt engineering and security
Negative_War_65 · reddit · 2026-10-05
A free YouTube lecture series outlines the full AI Engineering curriculum, from foundation models to production practice:
- Foundation models: MaaS, scaling laws, self-supervised learning, BPE tokenization, masked/auto-regressive LMs, multimodal LLMs, embeddings
- Training pipeline: data, modeling, post-training, sampling
- LLM evaluation: metrics, LLM-as-Judge, comparative ranking, designing eval pipelines
- Prompt engineering: in-context learning, system vs. user prompts, context efficiency, versioning, defensive strategies
- Security: prompt extraction, jailbreaking, injection attacks and model/prompt/system-level defenses
Also covers RAG, fine-tuning, use-case evaluation, and the AI engineering stack.
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