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From prompting to production
This course bridges the gap between casual AI use and building real systems. Covers prompt engineering, RAG, agents, MCP, evals, and multi-agent workflows.
What You'll Learn
Core modules
Eight modules covering the full stack of working with LLMs — from writing better prompts to orchestrating multi-agent systems.
Prompt Engineering
Design, template, chain, and evaluate prompts systematically.
RAG
Retrieval-augmented generation — from concept to optimisation.
Agentic Workflows
Multi-step autonomous systems, tool use, APIs, and MCP.
Evals & Multi-Agent
Measure what works, debug what doesn't, and scale with multiple agents.
Course Includes
Concept boardsCore ideas explained visually
FlashcardsKey terms to review per lesson
Practice questionsCheck understanding as you go
Video resourcesEmbedded YouTube per lesson
Additional readingPapers and articles per topic
Timed final exam20 questions, 30 minutes
Printable certificateUnlocked by passing the exam
Ready To Start
Begin with Lesson 1
Start with why base LLMs fall short, then work through prompt engineering, RAG, agents, and beyond.
Prerequisites
Who this course is for
This course assumes you have used an AI chatbot at least a few times. If you are a complete beginner, start with AI for Absolute Beginners first. No coding experience is required — the course explains technical concepts in plain language with practical examples.
Privacy & Storage
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All Lessons
Course Map
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