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Generative AI & Prompt Engineering for Developers

Move from 'using AI' to 'building with AI'. Hands-on with OpenAI and Anthropic APIs, RAG systems, agents and production React AI applications.

Free after redundancy in Wales with Welsh Government ReAct+ funding

Check if you qualify Download course info (PDF)
5 daysAbout 40 hours, 9am to 5pm
AdvancedLevel
Maesteg or onlineLlynfi Enterprise Centre or live online
£0With ReAct+ funding

What you'll learn on the Generative AI for Developers course.

Every developer job posting now asks about AI integration. This isn't about using ChatGPT — it's about building production systems that use LLMs as components.

Over five days you'll build a RAG pipeline, create AI agents with tools, and ship a React application with AI baked in — the portfolio pieces that separate you from every other junior developer.

You need working JavaScript/Python knowledge to get the most from this course. If you can build a basic web app, you're ready.

40hIntensive training
5Hands-on labs
3Portfolio deliverables
1:6Tutor ratio max

Five days, one step at a time.

Mornings are taught sessions. Afternoons are hands-on labs where you build something real.

  1. Day 1

    LLM APIs & Architecture

    How LLMs work under the hood, how to call them via API, and the architectural patterns for production AI.

    • LLM architecture & tokenisation
    • OpenAI API (Chat Completions)
    • Anthropic API (Claude)
    • Streaming responses
    • Temperature & system prompts
    • Error handling & rate limits

    LabBuild a multi-model API client that handles OpenAI + Anthropic

  2. Day 2

    Advanced Prompt Engineering

    Developer-grade prompt engineering — structured outputs, chain-of-thought, function calling, and evaluation.

    • Structured output parsing (JSON mode)
    • Chain-of-thought reasoning
    • Few-shot learning at scale
    • Function calling / tool use
    • Prompt testing & evaluation
    • Prompt versioning & management

    LabBuild a prompt evaluation harness with automated scoring

  3. Day 3

    RAG Systems

    Retrieval-augmented generation — the pattern behind every serious AI product. Embeddings, vector stores, and retrieval.

    • Embeddings & similarity search
    • Vector databases (Pinecone, pgvector)
    • Document chunking strategies
    • Retrieval pipelines
    • Hybrid search
    • RAG evaluation & debugging

    LabBuild a full RAG pipeline over your own document corpus

  4. Day 4

    AI Agents & Tools

    Autonomous AI systems that use tools, make decisions, and complete multi-step tasks — the frontier of applied AI.

    • Agent architectures
    • LangChain & LangGraph basics
    • Tool creation & registration
    • Memory & conversation management
    • Multi-step planning
    • Safety guardrails & limits

    LabBuild an AI agent that can search, calculate and write reports

  5. Day 5

    Building React AI Applications

    Ship a real product. React frontend, AI backend, proper UX for streaming responses, and deployment to production.

    • React + AI architecture patterns
    • Streaming UI with Server-Sent Events
    • Conversation state management
    • AI-powered search interfaces
    • Deployment to Vercel
    • Responsible AI in production

    CapstoneDeploy a production-ready React + AI application

Developer building a generative AI application on the free Generative AI for Developers course

Three real projects for your CV.

You leave with work you can show an employer, not just a certificate.

  • Deployed RAG Application

    A working retrieval-augmented generation system over your own data — the architecture behind most enterprise AI.

  • AI Agent with Tools

    An autonomous agent that uses multiple tools to complete complex tasks — the cutting-edge portfolio piece.

  • Production React + AI App

    A deployed, working web application with AI at its core — live URL, GitHub repo, ready for job applications.

Is this course right for you?

Best for: Junior developers, software engineers, freelancers.

This is for you if…

  • You can write JavaScript or Python at an intermediate level
  • You've built at least one web application before
  • You want to add AI to your developer toolkit
  • You want portfolio pieces that use real APIs, not tutorials
  • You understand basic REST APIs and async programming

It's probably not for you if…

  • You've never coded before (start with our Full Stack React course)
  • You want business-level AI skills (try AI for Business instead)
  • You don't have any programming experience
  • You want to train or fine-tune LLMs from scratch

Your next chapter starts a week on Monday.

Five days is all it takes. Check you qualify, then reserve your place on the next Generative AI for Developers course.

Reserve my place Check if you qualify