Video course · based on the Second Edition, 2026
Learn to build, test and govern AI that clinicians can trust. From your first line of Python to retrieval, evaluation, privacy and production, in 105 short lessons with real, running code.
Free preview
Chapter 5, Lesson 1: Why Python, Variables, and Data Types. Every lesson pairs calm, animated explanations with code that actually runs, so you see the result, not just the theory.
The journey
The course follows the book chapter by chapter, regrouped into six parts that build on each other.
The AI Engineering Imperative in Healthcare · Welcome to AI Engineering · Thinking Like an AI Engineer · The Responsible AI Mindset
Python Without Panic · Working with Files, Data, and APIs · Developer Tools for AI Engineering
Machine Learning in Plain English · Neural Networks and Deep Learning · Large Language Models
Prompt Engineering for Grown-Ups · Building Your First AI Application · Embeddings and Vector Search · Retrieval-Augmented Generation
Evaluation: Because Vibes Are Not Metrics · Privacy, Security, and AI Risk · AI Governance Without Boring Everyone to Death · Deployment and LLMOps
Human-Centered Design for AI Engineering · Project Management for AI Engineering
Who it is for
Clinicians, nurses, allied health, informatics, IT and data teams, and leaders who want to understand and shape the AI arriving in their workplace. No coding background is needed; Python is taught from scratch.
A structured, assessable programme for cohorts: lesson and chapter quizzes, a timed final exam and a verifiable certificate. Includes a non-coding leadership track and a full builder track.
How it works
Cinematic lessons with animated data flows and real, running code.
Short quizzes after every lesson and chapter. Pass at 70%, retry as often as you like.
A 50-question final exam, drawn at random, with 90 minutes to complete it.
A certificate with a unique verification code, signed by the authors.
Enrolment opens soon
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