Most AI pilots never reach production. Forward Deployed Engineers close that gap — they discover the real problem, architect the solution, ship it and prove its value. This program trains you to be one.
Companies have access to powerful models. What they lack are engineers who understand the business, design for real constraints and own the outcome after launch. That combination is what makes Forward Deployed Engineers so valued.
Frame the right problem before writing a single line of code.
Design for security, reliability, cost and real users from day one.
Measure success by the impact you create for the people you serve.
Each module builds on the last, so requirements, security and evaluation evolve with your system — the way real delivery works.
Shift from writing code to owning outcomes. Learn how Forward Deployed Engineers frame problems, define success and prove value.
Stakeholders, workflows, root causes, requirements and MVP scope — turning business pain into a clear, solvable brief.
System and data design, retrieval, agentic workflows, security and the architecture decisions that hold up in real organisations.
Build end-to-end AI applications across backend, frontend and data — with AI-assisted development, testing and debugging.
Containers, CI/CD, cloud deployment, monitoring and rollback — shipping systems that real users can depend on.
Measure quality, harden against misuse, control cost and latency — then defend your system in a live architecture review.
Built for aspiring AI engineers who want to move beyond tutorials and learn to build, deploy, and evaluate real-world AI applications.
Build practical AI engineering skills and work towards a portfolio-ready capstone before entering the job market.
Turn your programming foundation into practical skills for building AI-powered applications.
Expand beyond routine development tasks and learn to deliver AI solutions from problem discovery to deployment.

Nitin personally leads every architecture review and the final live defence of your work. You get direct, honest feedback on how you think, design and communicate — the same standard used in real enterprise delivery.
Discover whether FDE aligns with your interests, current skills, and career goals. Complete this short form to check your readiness for AI Relevance FDE Mastery and explore the next steps towards becoming a practical AI engineer.
An FDE works closely with the business to understand the real problem, then designs, builds, deploys and improves the AI system that solves it. It blends engineering depth with consulting judgement.
Plan for 2–3 focused hours a week: self-paced video lessons plus a weekly live session for guidance, reviews and questions.
Basic programming in Python or JavaScript and familiarity with Git. Just as important: the mindset to create impact and a genuine commitment to customer delight.
Nitin Sharma — ex TCS, Wipro and Infosys — personally leads the architecture reviews and the final live defence of your work.
Fees and enrolment are discussed on your 1:1 call, after we understand your goals and confirm the program is the right fit.