Forward Deployed AI Engineering Certification Programme
Takes a client from discovery to a deployed, value-measured AI solution and can defend it to executives.
Taught by TAI Labs faculty bench
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TAI Labs faculty bench
Lead instructor
84 hours
Built to fit around work
8 modules
40 lessons
6 applied labs
Evidence, not just watching
Interactive course
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.
Discovery: Customer interviews, process mapping and requirements
Rapid delivery: Prototyping and enterprise integration
Productionisation: Enterprise data, deployment and evaluation
Value communication: Executive narrative and value realisation
Take a simulated client from discovery through working prototype, deployment architecture and executive presentation.
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.
Forward deployed engineer
Use the exercises and final project in the context of your own role.
Solutions engineer
Use the exercises and final project in the context of your own role.
Consulting 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 · 40 lessons · 6 applied labs · 84 hours.
- What Tai Labs Certified Forward Deployed AI Engineer certifies, and what assessors look forBriefing · 18m
- Interactive walkthrough: one worked example, start to finishInteractive · 24m
- Knowledge check: good work versus plausible workKnowledge check · 14m
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.