Forward Deployed Engineer
Build and Deploy AI Solutions for Real-World Business Problems
A live, mentor-led program designed by industry experts to develop the technical, problem-solving, and deployment skills required to work on real-world AI solutions. Learn to understand business requirements, design AI-powered solutions and develop agentic workflows and enterprise AI applications.
Gain hands-on experience by working on practical business use cases and real-world projects, from solution design to implementation and deployment.
A 20-week, 70-session Forward Deployed Engineer specialization in enterprise AI architecture, RAG, agentic engineering and production deployment — built on the Practical AI Mastery foundation.
1 Client-Style Capstone
Projects
Build real, portfolio-ready projects as you learn — not just tutorials.
Ingest enterprise documents, retrieve grounded context, evaluate answers and expose a usable service.
Build a tool-using support workflow with knowledge retrieval, routing, approvals and auditability.
Map a manual business process and redesign selected steps using APIs, automation and AI agents.
Combine domain knowledge retrieval with tools/actions and evaluation for a selected use case.
Run a forward-deployment engagement from discovery and architecture through build, demo, runbook and handover.
Connect an AI application to structured data, APIs and enterprise-style systems with secure patterns.
Get the complete module-by-module breakdown, project list and timelines in one PDF.
Our mentors work at top companies and have real-world experience
Access live classes, projects, mentorship, certification and career support with easy EMI options.
Start at just
EMI Available/month
In total (Incl. of all taxes)
200+
Students Enrolled
18+
Projects Built
50+
Expert Mentors
85%
Placement Rate
End-to-end support to help you land the job you're working toward
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The Forward Deployed AI Engineer specialization is an optional advanced technical pathway focused on discovering business problems, designing AI solutions, building and integrating them, evaluating them, deploying them and communicating business impact.
An FDE works at the intersection of software/AI engineering, solution architecture, business problem solving and customer-facing implementation, turning ambiguous customer needs into working solutions.
It is best suited to technically inclined students, developers, engineers, solution architects, experienced business analysts/consultants and IT professionals who want deeper AI delivery capability.
Not in the same way as AI Bootcamp or Practical AI Mastery. The technical pathway expects stronger foundations in programming, APIs, databases and software systems.
For the technical FDE pathway, Python and general programming competence are important. Bridge learning may be recommended where required.
It combines the broad applied-AI foundation of Practical AI Mastery with the technical FDE specialization, creating a progression from practical AI use to enterprise AI implementation.
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