AI·18h
LLM Engineering (GenAI)
Build production-grade LLM apps with RAG, evals and agents.
LangChainRAGFine-tuningEvaluationAgents
First module free · Premium+ unlocks the rest
1
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About this course
The highest-paid AI specialty in 2026. Learn to build reliable LLM applications: RAG pipelines with vector databases, fine-tuning for your domain, evaluation frameworks, and multi-step agent architectures. You'll ship real apps, not toy demos.
What you'll learn
- Design a production RAG pipeline with chunking, embeddings and retrieval.
- Compare OpenAI, Anthropic and open-weight models for cost, latency and quality.
- Build evaluation suites that catch hallucinations and regressions.
- Fine-tune a small model for a domain-specific task.
- Architect a multi-step agent with tools, memory and guardrails.
- Budget and monitor an LLM app in production (token spend, latency, error rate).
Roles this course opens up
Typical job titles that ask for this skill.
LLM Engineer
AI Engineer
GenAI Developer
AI Solutions Architect
Applied ML Engineer
How access works
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