Academy Track

For Builders

Applied Engineer

For developers and engineers building with LLMs. Master the practical patterns to build reliable agents: structured outputs, RAG, tool use, and production reliability.

Starts 17 Feb 20264 weeks, 6 live sessionsMax 20 participants

£3,450 + VAT

Prerequisites

Comfortable writing Python or TypeScriptBasic understanding of REST APIs and JSONFamiliarity with at least one LLM API (OpenAI, Anthropic, etc.)Willingness to build and break things

Outcomes

What you'll be able to build

Build agents that reliably return structured, parseable outputs

Implement RAG systems that retrieve relevant context at scale

Design and orchestrate multi-tool agents for complex workflows

Set up observability and monitoring for production AI systems

Optimise for cost without sacrificing quality

Test AI systems with confidence using proper evaluation frameworks

Curriculum

Week by week

Structured Outputs & JSON

Stop wrestling with unpredictable outputs. Learn the patterns that make LLM responses reliable and parseable.

JSON mode and structured output APIs
Schema design for AI responses
Validation and error handling patterns
Testing structured outputs at scale

Practical RAG Context

Build retrieval systems that actually work. Move beyond tutorials to production-grade implementations.

Chunking strategies that preserve meaning
Embedding models: when to use what
Hybrid search: combining dense and sparse
Evaluation frameworks for retrieval quality

Tool Use & Interactions

Give your agents superpowers. Learn to design, implement, and orchestrate tool-using agents.

Tool definition patterns and best practices
Multi-step reasoning and planning
Error recovery and retry strategies
Sandboxing and security considerations

Production Reliability

Ship with confidence. Master the patterns that keep AI systems running in production.

Observability: logging, tracing, monitoring
Cost optimisation and caching strategies
Graceful degradation and fallbacks
Testing AI systems: unit, integration, eval

What's Included

Everything you need

6 Live Sessions

90-minute hands-on workshops. Code along, ask questions, debug together.

Code Templates

Production-ready starter code for RAG, agents, and tool use patterns.

Dev Community

Private Slack with fellow engineers. Share code, debug issues, ship together.

Small Cohort

Max 20 engineers ensures everyone gets code review and feedback.

Documentation

Comprehensive guides, cheat sheets, and reference implementations.

Certificate

Verified completion certificate for your portfolio.

Ready to build production AI?

100% satisfaction guarantee. See refund policy