Advanced track · AI & governance
Go beyond the basics. Learn to build AI that people can trust.
Eight in-depth chapters on how modern AI really works, from neural networks and large language models to agents, and how the world governs it: risk frameworks, the EU AI Act, India's rules and real-world accountability.
Course outline
Two parts. Eight chapters. Real depth.
0 of 8 chapters completed
How advanced AI systems work
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01
Deep learning
Inside Neural Networks
Neurons, layers, loss, gradient descent and backpropagation: how a deep network actually learns, and why it fails.
10 min readStart → -
02
Language models
Transformers and Large Language Models
Tokens, embeddings, attention and the training pipeline behind modern LLMs, plus their real limits.
11 min readStart → -
03
AI systems
RAG, AI Agents and Multimodal AI
Grounding models in your own data, giving them tools, and combining text, images and speech.
11 min readStart → -
04
Engineering
Evaluating, Deploying and Monitoring AI
Metrics that matter, testing LLMs, red teaming, MLOps and keeping models healthy after launch.
10 min readStart →
AI governance, risk and regulation
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05
AI governance
AI Governance: Foundations and Operating Models
What AI governance really is, who owns what, and how organisations put guardrails around the AI lifecycle.
11 min readStart → -
06
AI governance
Managing AI Risk: NIST AI RMF and ISO/IEC 42001
The two frameworks the world uses to manage AI risk, impact assessments, risk registers and model documentation.
12 min readStart → -
07
AI governance
The Global Regulatory Landscape: EU, India and Beyond
The EU AI Act, India's DPDP Act and AI Governance Guidelines, the US, China and the international agreements.
13 min readStart → -
08
AI governance
Governing a Real AI System: A Case Study
Follow one AI system from idea to launch with governance built in, then apply it to your challenge proposal.
11 min readStart →
Why this course
Built for people who want to lead with AI, not just use it.
Understand the machinery
See inside neural networks, transformers, retrieval and agents with clear, original diagrams. No heavy maths needed.
Master AI governance
Learn the frameworks that organisations and regulators actually use: NIST AI RMF, ISO/IEC 42001, the EU AI Act and India's approach.
Strengthen your proposal
The final chapter turns everything into a checklist you can use to make your challenge solution credible, safe and ready to scale.
Ready to test yourself?
Take the Advanced AI quiz.
24 questions across all eight chapters. You need 70% to pass, and every answer is explained.