AI Courses for Working Professionals.

Engineers with two to eight years in backend, data or devops roles who want to work on AI systems and keep earning while they retrain. You already know how to ship software. What you need is the specific practice of building, evaluating and operating LLM and agent systems.

Around eight hours a week: one live session, one working session, and independent build time. Cohorts run evenings and weekends. If you cannot protect that time, take a later cohort — falling behind mid-cohort helps nobody.

You can learn to call an API from a tutorial. What tutorials do not teach is what happens when the agent loops forever, the retrieval returns confident nonsense, or a prompt change silently breaks a workflow that was working last week. That is the gap this closes, and it is the gap employers are actually hiring for.

• 1A multi-agent system you designed, on your own GitHub
• 2An evaluation harness with a golden dataset
• 3A deployed agent with tracing and cost tracking
• 4A written failure analysis — the artifact that most impresses technical interviewers

Yes. We provide a scope document and invoice for reimbursement. If three or more people from your organisation are interested, the enterprise track is usually better value and can be delivered against your own systems.

Fee structure and EMI options are being finalized and will be published here soon. Register your interest and we will send the breakdown first.