Two tracks, one goal: job-ready with AI

What you'll learn

1. E1

   Programming foundations

   • Python, TypeScript, intro to Go and Rust
   • Git
   • SQL databases (MySQL, PostgreSQL)

2. E2

   Math and machine learning

   • Linear algebra, probability
   • scikit-learn
   • Model evaluation

3. E3

   Deep learning

   • PyTorch, CNNs, transformers
   • Vision and speech models

4. E4

   LLM engineering

   • Prompting, embeddings, RAG
   • Fine-tuning, evaluation and guardrails

5. E5Flagship

   Agentic AI

   • Tool use, MCP servers
   • Multi-agent workflows
   • AGENTS.md and skills

6. E6

   Automation engineering

   • Workflow and test automation
   • APIs, scripting
   • LLM pipelines end to end

7. E7

   Data platforms and MLOps

   • Databricks, Snowflake
   • Docker, CI/CD
   • Deployment and monitoring basics

8. E8

   Security and responsible AI

   • Prompt injection, data privacy
   • Bias, AI governance

9. G1

   AI literacy

   • What AI can and cannot do
   • Using chat assistants well and safely

10. G2

    Prompting for work

    • Writing, research, summarising, emails and reports with AI

11. G3

    Data and Excel to insights

    • Spreadsheets, dashboards, Power BI basics
    • AI-assisted analysis

12. G4

    No-code automation

    • Automate forms, email and office tasks with AI workflow tools

13. G5

    AI by subject

    • Commerce: finance and accounting
    • Arts: content and media
    • Science: lab data

14. G6

    Career launchpad

    • AI-assisted resume and LinkedIn
    • Interview practice, portfolio