A ROUTE THROUGH YOUR NEXT SKILL

Learning paths

Follow a clear sequence, see which courses are open today, and know what is still in preparation.

Paths are learning guides. "Planned" courses are not published or available to enrol in.

1 OF 4 COURSES AVAILABLE

Understand and use AI

Curious beginners and people bringing AI into study or work.

By the end: Build a thoughtful everyday AI workflow, then learn to check its limits and use language models well.

  1. Introduction to LLMsOpen now
  2. AI for Everyone: Learn, Create & Work SmarterPlanned
  3. AI Foundations & Responsible AIPlanned
  4. Large Language Models: From Prompts to PracticePlanned
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0 OF 2 COURSES AVAILABLE

Python and machine learning

Learners ready to move from programming basics to practical prediction.

By the end: Work with data in Python, then train and evaluate a reproducible machine learning model.

  1. Python & Data for Machine LearningPlanned
  2. Applied Machine Learning: Build, Evaluate, ImprovePlanned
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1 OF 5 COURSES AVAILABLE

Build AI applications

Aspiring developers who want a grounded route into language model engineering.

By the end: Build an evidence-based LLM application, then extend it into a bounded tool-using workflow.

  1. Introduction to LLMsOpen now
  2. Python & Data for Machine LearningPlanned
  3. Large Language Models: From Prompts to PracticePlanned
  4. LLM Engineering: RAG, Evals & Multimodal AppsPlanned
  5. Agentic AI: Tools, Workflows & MCPPlanned
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0 OF 4 COURSES AVAILABLE

AI agent engineer

Developers who can already call an LLM and want to ship reliable, tool-using agents.

By the end: Ship an MCP-connected agent with least-privilege tools, approval gates, an eval suite and a prompt-injection threat model.

  1. LLM Engineering: RAG, Evals & Multimodal AppsPlanned
  2. Agentic AI: Tools, Workflows & MCPPlanned
  3. Reasoning Models & Test-Time ComputePlanned
  4. AI Safety & Alignment for BuildersPlanned
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1 OF 5 COURSES AVAILABLE

Frontier model literacy

Engineers, researchers and analysts who want to understand how frontier models are trained, measured and aligned.

By the end: Read a model release or paper critically: what training changed, what the evals really measure, and which safety claims are supported.

  1. Introduction to LLMsOpen now
  2. Post-Training: Fine-Tuning, RLHF & DPOPlanned
  3. Reasoning Models & Test-Time ComputePlanned
  4. LLM Engineering: RAG, Evals & Multimodal AppsPlanned
  5. AI Safety & Alignment for BuildersPlanned
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