// PROGRAMME_02

Build AI-Native Products. Not AI Gimmicks.

RAG, Graph RAG, knowledge graphs, agentic workflows, memory layers, MCP, A2A. Everyone's adding AI to their products. Most of it is garbage. Learn to build AI systems that actually work.

2 weeks

12 max cohort

Remote

£10,000

// THE_PROBLEM

AI Is Everywhere. Good AI Is Rare.

Every startup claims to be "AI-powered" now. But most AI features are just ChatGPT wrappers that hallucinate, cost a fortune, and break constantly.

[-]Hallucinations destroy user trust
[-]Costs spiral out of control at scale
[-]No idea how to evaluate quality
[-]Agent loops that never terminate
[-]Security vulnerabilities from prompt injection

// SOLUTION

Building AI That Works

The difference between good AI and garbage AI is architecture. Understanding when to use what technique—and when AI isn't the answer.

[+]RAG grounds answers in your data
[+]Agents decompose complex tasks
[+]Evaluation catches failures before users do
[+]Guardrails prevent catastrophic outputs

// OUTCOMES

What You'll Build

Not toy demos. Production-ready AI systems with real architecture.

Design AI System Architecture

Know when to use RAG vs fine-tuning, agents vs chains, and how to structure AI-native products.

Build with LLM APIs

Hands-on experience with OpenAI, Anthropic, and open-source models. Understand the trade-offs.

Implement RAG, Graph RAG & Agentic Workflows

Build RAG and Graph RAG systems with knowledge graphs, memory layers, MCP, and A2A protocols.

Deploy AI to Production

Ship real AI features with proper evaluation, monitoring, and safety measures.

// TECH_STACK

The Tools You'll Master

Hands-on experience with the entire modern AI stack.

LLMs

OpenAI GPT-4

LLMs

Claude API

Open Source

Llama/Mistral

Frameworks

LangChain

Vector DBs

Pinecone

Vector DBs

pgvector

Frameworks

Vercel AI SDK

Eval & Monitoring

LangSmith

// CURRICULUM

Two Weeks. From Zero to Production.

Theory in the morning, building in the afternoon. Every day.

Week 1

AI Fundamentals & LLM APIs

[+]LLM architecture: How transformers actually work
[+]API design: OpenAI, Anthropic, and open-source models
[+]Prompt engineering at scale
[+]Embeddings and vector databases
[+]Cost optimization and rate limiting

Week 2

Production AI Systems

[+]RAG & Graph RAG: Knowledge graphs, memory layers, embeddings
[+]Agentic workflows: MCP, A2A, tool use, planning
[+]Evaluation and testing AI systems
[+]Safety, guardrails, and failure modes
[+]Final project: Deploy a production AI feature

Final Project: Ship to Production

You'll build and deploy a real AI feature during the programme. Choose from: RAG-powered search, AI agent workflow, or custom LLM application. Real users. Real feedback. Real learning.

// TARGET_AUDIENCE

Perfect For

[+]CTOs adding AI to existing products
[+]Technical founders building AI-native startups
[+]Engineers transitioning to AI/ML roles
[+]Anyone building products with LLMs
[+]Leaders who need to evaluate AI architecture decisions

Prerequisites

Comfortable writing code (any language)
Basic understanding of APIs and databases
Familiarity with Python helpful but not required
Completed Code Again or equivalent experience

No prior AI/ML experience required. We build up from fundamentals.

// PRICING

Programme 2

AI Systems

£10,000

2 weeks intensive. Remote cohort. Maximum 12 participants.

[+]10 days of live instruction
[+]Hands-on building every day
[+]Access to all AI APIs during programme
[+]All recordings and materials
[+]Private Slack community
[+]30-day post-programme support

In-person London option: +£2,500

// BUNDLE

Start From the Beginning?

Combine Code Again with AI Systems for the complete technical transformation.

Save £2,500

Technical Track Bundle

Code Again + AI Systems. Learn to code with AI, then learn to build AI systems.

£15,000£17,500

Select Bundle

Build AI That Actually Works

Next cohort starting soon. Limited to 12 participants. Graduates eligible for paid network deployments.