AI Engineering Bootcamp & Certificate
Hands-on bootcamp covering the full AI engineering stack — LLMs, RAG, agents, and production systems.
Taught by Aki Wijesundara, PhD
Co-founder · COO · Lead Instructor · San Francisco / London
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Aki Wijesundara, PhD
Lead instructor
Cohort 19
US$399
- 22 Sept — 29 Oct 2026
Pay now, set up your account after. No account needed to enrol.
11 hours
Built to fit around work
8 modules
31 lessons
5 applied labs
Evidence, not just watching
Video + interactive
Online
Built for real work
Leave with work you can show.
Every part of the course moves towards an applied result. You will practise the judgement behind the tools, build with them and finish with evidence of what you can do.
Call OpenAI, Anthropic and Gemini APIs directly and handle their failure modes
Build a RAG pipeline that cites sources and declines when retrieval is empty
Build an agent with a loop, tools and a stopping condition
Ship it, watch it, and know your cost per request before finance asks
Who it is for
Right level. Clear expectations.
This is a advanced course for people who want to use the material, not collect another set of notes.
Engineer
Use the exercises and final project in the context of your own role.
ML engineer
Use the exercises and final project in the context of your own role.
Course syllabus
A complete path, not a content dump.
8 modules · 31 lessons · 5 applied labs · 11 hours.
- 1. LLM and Generative AI FundamentalsVideo · 3m
- 2. Python for AIVideo · 3m
- 3. Working With Model APIsVideo · 3m
- 4. Structured Outputs and Tool CallingVideo · 3m
- Knowledge check: Filmed sessions · part 1Knowledge check · 14m
Your instructor
Aki Wijesundara, PhD
Co-founder · COO · Lead Instructor · San Francisco / London
AI/ML lead with a PhD in Machine Learning and former Head of AI at Mainstreet Partners. Stanford-backed founder, Ex-Google AI Accelerator mentor; leads enterprise deliveries for engineering teams.
What learners say
Practical enough to use the next day.
Real, attributed feedback from people learning with TAI Labs.
“In just two live sessions I walked away with a reusable GTM playbook, launch templates, and the AI prompts to run every future launch faster.”
Irena Palamani Xhurxhi, PhD
Director of People Science · Walmart
“The asynchronous format made it easy to catch up and focus on the parts most relevant to my job — practical, and immediately useful.”
Alexandros Fragkos
Marketing Analytics Manager · Google
“In only four weeks we went from LLM basics to building our own production-grade app — multi-agent workflows, RAG with vector search, and real evaluation.”
Anette
Product Manager · Apple
Start with the course. Keep the bigger path visible.
Take this course on its own, use it inside the Career Accelerator, or bring a private version to your team. The right route depends on how much support and applied experience you need.