AI, Agents & Intelligent Automation
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52 lessons
Models, RAG, agents, autonomy, orchestration, evaluation, LLMOps, governance and AI factories.
Market Basis: OpenAI, Anthropic, Microsoft/AWS AI engineering and safety roles
Who’s Hiring Right Now
US openings posted in the last 7 days at OpenAI, Anthropic across this pathway’s representative roles, refreshed daily. Pulled directly from each company’s public job board; not exhaustive, and postings close fast — worth confirming the details on the employer’s own site before applying.
Representative Roles
Enrichment
- Foundation models, LLMs & generative AI — BASIC: Transformers — 3Blue1Brown
- Foundation models, LLMs & generative AI — INTERMEDIATE: Intro to LLMs — Karpathy
- Foundation models, LLMs & generative AI — ADVANCED: Build GPT from Scratch — Karpathy
- Prompt/context engineering & structured outputs — BASIC: Prompt Engineering — OpenAI Academy
- Prompt/context engineering & structured outputs — INTERMEDIATE: Agents, Prompts & RAG — Stanford CS230
- Prompt/context engineering & structured outputs — ADVANCED: Structured Outputs Build Hour — OpenAI Academy
- Search, embeddings & grounded RAG — BASIC: RAG Explained — IBM Technology
- Search, embeddings & grounded RAG — INTERMEDIATE: RAG From Scratch — Lance Martin
- Search, embeddings & grounded RAG — ADVANCED: Advanced RAG Deep Dive — Microsoft Reactor
- Agents, tools, MCP & orchestration — BASIC: Agentic Workflows — OpenAI Academy
- Agents, tools, MCP & orchestration — INTERMEDIATE: Building Effective Agents — Anthropic
- Agents, tools, MCP & orchestration — ADVANCED: Reliable Agent Architectures — OpenAI Academy
- Evaluation, observability & failure analysis — BASIC: Evaluating LLM Apps — OpenAI Academy
- Evaluation, observability & failure analysis — INTERMEDIATE: Practical Eval Systems — OpenAI Academy
- Evaluation, observability & failure analysis — ADVANCED: Monitor + Evaluate Agents — Microsoft Reactor
- Security, red teaming & governance — BASIC: AI Red Teaming 101 — Microsoft
- Security, red teaming & governance — INTERMEDIATE: Automate with PyRIT — Microsoft
- Security, red teaming & governance — ADVANCED: Zero Trust for AI Agents — IBM Technology
- LLMOps, serving & AI platform operations — BASIC: LLMOps Explained — IBM Technology
- LLMOps, serving & AI platform operations — INTERMEDIATE: Deploy Models with NIM — NVIDIA Developer
- LLMOps, serving & AI platform operations — ADVANCED: TensorRT-LLM Optimization — NVIDIA Developer
- Model/provider selection, use-case scoping & AI value — BASIC: Foundation Models & Value — IBM Technology
- Model/provider selection, use-case scoping & AI value — INTERMEDIATE: Pick the Right Model 29. AI Mastery — IBM Technology
- Model/provider selection, use-case scoping & AI value — ADVANCED: Use-Case Discovery & Scoping — OpenAI Academy