Advanced
Advanced LLM Engineering
Production-grade techniques for engineers building serious AI systems.
Programme Overview
A deep, technical programme for software engineers and ML practitioners building real LLM-powered applications. Covers retrieval-augmented generation, agentic architectures, evaluation pipelines, cost and latency optimisation, and the operational realities of running LLM systems at scale.
What You'll Learn
- Architect production-grade RAG systems
- Design and evaluate multi-step agentic workflows
- Build robust evaluation pipelines for LLM applications
- Optimise for cost, latency, and reliability in production
- Implement guardrails and failure handling at scale
Who It's For
- Software engineers shipping LLM-powered features
- ML engineers moving into generative AI
- Technical architects evaluating LLM platforms
Prerequisites
- Proficient in Python
- Prior exposure to APIs and backend development
- Basic familiarity with LLM prompting
Curriculum
- Structured outputs and tool use
- Function calling patterns
- Prompt chains and composition
Delivered by certified practitioners
Our instructors hold relevant industry certifications and bring an average of 10+ years of enterprise delivery experience across banking, telecommunications, government, and technology organisations.
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