FDE Course: Become a Forward Deployed Engineer in 8 Months
PGP in Forward Deployed Engineering (FDE) & Applied AI Solutions
Be One Of India's First Forward Deployed Engineers
8
Months
Months
4.7%
Acceptance rate
Acceptance rate
Built by FDEs and Industry leaders
Next Cohort Start Date: 14th December, 2026
The demand for this role is Exploding
1000%+
A role most engineers haven't heard of, and one of the fastest-growing in tech in 2026
Who is a Forward Deployed Engineer?
A Forward Deployed Engineer sits inside the client's business and does two jobs at once: the consultant's job of finding and framing the real problem, and the engineer's job of building and running the system that solves it.
Understand How The FDE Work Cycle Operates
Bridging business needs and AI execution.
70% AI pilots are failing
and FDEs are the answer to bridge this gap
Join one of India's first structured pathways to become a Forward Deployed Engineer.
Built and taught by real FDEs who deploy AI systems in the real world.
00:00
/
00:00
The Rarest Hire In AI.
The First Program Built For Them.
Earned, Not Enrolled
Admission is selective. The cohort is
capped at 80 seats and built around
readiness, not applications received.
Ever Evolving Curriculum
The syllabus tracks how AI delivery work is actually changing, not a fixed catalogue to the Curriculum evolves with market demands and updates
Pods, Precisely Curated
You're grouped by experience, industry, and technical depth. Every pod is curated to stretch how you think.
Real Briefs. Real Constraints. Nothing Simulated
Real deployments from Stripe, Salesforce, Razorpay, and more*.
How You Will Learn With The
FDE Academy Method
01
Practitioner-Designed Learning
Curriculum and frameworks shaped by people who have deployed AI in real organizations.
02
Mentorship from FDEs and Senior AI Leaders
Guidance, reviews, and perspective from experienced Forward Deployed Engineers and AI leaders.
03
Learn → Apply → Build Loop (FDE LabTM)
Concepts move immediately into real scenarios and full system builds.
04
Agile, Sprint-Based Execution
Structured sprints with clear goals, reviews, and iteration… not passive learning.
05
Framework-First, Tool-Agnostic
Master 10+ proprietary FDE frameworks before applying 30+ GenAI tools in context.
06
Hiring-Grade Portfolio Output
Deployed systems, case narratives, and architecture walkthroughs built for interviews.
The blocks that structure your learning
Technical
Capability
Consulting
Capability
32 Week Curriculum
four connected phases and an end-to-end capstone
Curriculum
32 weeks: from a clear problem to a working system
The curriculum builds in phases. Each phase returns to the same delivery questions with more demanding constraints, so nothing is learned once and forgotten.
Phase 1: Foundations
Weeks 1–4
Technical Track
Consulting Track
Python, Git, workflows, modern AI tooling
Understanding the business problem
Prompting patterns and APIs
Asking better questions
Basic system design
Framing a testable AI use case
You Produce
A first working AI tool, a clear problem statement, and an initial solution outline.
Phase 2: Core Build (IIT Modules)
Weeks 5–12
Technical Track
Consulting Track
LLM applications and workflows
Requirement discovery
Context engineering and RAG foundations
PRDs and solution design documents
Early evaluation, reliability, and application-layer patterns
Communicating scope, choices, and trade-offs
You Produce
A deployable AI system, an architecture view, and a record of key design decisions.
Phase 3: Deployment Depth
Weeks 13–20
Technical Track
Consulting Track
Advanced retrieval and RAG
Stakeholder alignment
Evaluation, monitoring, and iteration
Delivery planning and iteration cycles
Scale, reliability, and security failure handling
Managing feedback, scope change, and competing constraints
You Produce
A production-oriented system, deployment-ready documentation, and a clear ownership narrative.
Phase 4: Capstone & Mastery
Weeks 21–32
Technical Track
Consulting Track
MCP tools, policies, and production deployment
End-to-end engagement simulation
Multi-agent design
Case study writing
An SLM you train and serve yourself
Capstone presentation rehearsal
You Produce
Two full projects, five written case studies, a portfolio narrative, and a capstone system demoed live to the evaluation panel.
THE COHORT
The top 4% you'll be joining
Companies they represent
Built & Taught By Real FDEs
Vinay Kumar
QuickCURD
FDE & CTO
Aditya Goswami
Bluecore
Forward Deployed Engineer
Saksham Singhal
Hacker Rank
Forward Deployed Engineer
Mohm. Rashid Raza
Adobe
Forward Deployed Engineer
Imtiaz Ahamed
HighRadius
Forward Deployed Engineer
Ishank Sharma
Prentis AI
Forward Deployed Engineer
Mariya Baig
Bluecore
Forward Deployed Engineer
Apoorv Dubey
Echos
Forward Deployed AI Engineer
Animesh Das
realfast
Forward Deployed Engineer
Saurabh Ranjan
Shadgunya Technology
Forward Deployed Engineer
Prajna Vegesna
Sarvam
Forward Deployed Engineer
Poojitha Rachuri
Confido Health
Forward Deployed Engineer
Deepanshu Goel
Heizen
Forward Deployed Engineer
Gourav Kushwaha
PromptQL
Lead FDE
Rushikesh Akhare
Luminai
Lead FDE
Mentored By AI Industry Leaders
Anindo Chakraborty
Vodafone
Executive Vice President AI/ML
Bhairav Mehta
JPMorgan Chase
Head of AI and ML
Satish Padmanabhan
Standard Chartered
Change and Strategy Leader - Data Product Ownership and Risk
Madhurima Agarwal
Microsoft
Managing Director - Microsoft for Startups, India
Deepa Mahesh
Tech Mahindra
Head - Analytics, BPS
Praveen Sathyadev
Course5i
Head - EU/UK Business Growth (VP), Analytics, Insights and AI
Ashish Dabas
Capital One
Vice President
Arvind Balasundram
Regeneron
Executive Director, Commercial Insights & Analytics
Saurabh Kumar
Lowe's India
Director - Data Engineering
Pankaj Srivastava
PwC
Partner
Aditya Khandekar
Corridor Platforms
President
Shrisha Ray
Thomson Reuters
Director of Engineering
Nitin Srivastava
Dr. Martens
Global Head of Data and Analytics
Kaushik Das
Catalyst Brands India
VP & Managing Director
Alok Tiwari
Junglee Games
Director of Analytics
Divesh Singla
Veradigm
Vice President Operations
Biju Kalleppilli
SAP Labs India
Senior Director of Engineering
Vidhi Chugh
All About Scale
Head of AI
Nishant Chandra
Microsoft
Industry Copilot Leader and Head
Ruchika Singh
Spotify
Director, Data Science & Insights
Krithika Muthukrishnan
Scripbox
Reliance Enterprise Intelligence
Tushar Sahu
Director Engineering
Vishal Nagpal
Best Buy
Director of Data and AI
Anirban Nandi
Albertsons Companies India
Vice President, AI and Data
Swati Jain
Deloitte
Partner - Digital, AI & Analytics
Madhu Hosadurga
Schneider Electric
Global Vice President, Enterprise AI
Nithya Subramanian
Best Buy
Senior Director, Data and AI COE
Pankaj Rai
Aditya Birla Management Corp
Group Chief Data and Analytics Officer
Muthumari S
Brillio
Global Head of Data & AI Studio
Ankit Mogra
Ather Energy
Director - Insights & Analytics
Anand Das
TVS Motor Company
Chief Digital & AI Officer
FDE Lab is the proprietary learning system behind the FDE Academy.
Perplexity Research Engine
Multi-step research, source validation, citations Stack: Claude Opus, Firecrawl, Pinecone
Intercom Support Automation
Ticket routing, sentiment analysis, 15+ languages Stack: GPT-4o, Semantic Router, Qdrant
Cursor Code Assistant
Context-aware completions, PR reviews Stack: Codestral, Continue.dev, Ollama
Stripe Webhook Infrastructure
10K events/sec with retries, idempotency Stack: Inngest, Trigger.dev, Upstash
The Founding Summit
Where the first generation of FDEs comes together on a two day retreat in Goa and Exchange real-world insights on deploying AI in production
The Market Told Us
What's Missing
We partnered with AIM Research to ask top tech companies what they need, want, and can't find. Here's a snapshot of what came back.
CAREER PATHWAYS
Eligible Roles & Salary Range
(Indicative ranges. India figures reflect AIM Research, September 2026. Global figures are indicative market ranges. Actual compensation varies by experience, company, and geography.)
Career Acceleration, Backed by Futurense
Helping you transition into high-impact Forward Deployed and Applied AI roles.
Remote Opportunities
Palantir
Open AI
Databricks
Adobe
Palantir
Open AI
Databricks
Adobe
India Opportunities
4.7%
Admission Process
This program is selective. Great learning comes from great peers. We choose individuals who raise the standard for themselves and for the room.
Application
(Screening)
Proficiency Test
(Online)
Interview Prep
(Post-Test)
Technical + Consulting Interview
(Up to 1 hour)
FDE Board Decision
(Final)
Eligibility
4-Year Degree with Maths
AI/ML Foundations (via coursework, certification, or projects)
Cloud Exposure (AWS /GCP /Azure certification or deployed project)
2+ Years Technical Experience (or exceptional fresher)
Clear Technical Communication (can explain concepts to non-technical audiences)
Strong Python or SQL (numpy, pandas, or strong coding ability)
IIT Certification Add-on
Academic depth, built into the FDE Academy journey
FDE Academy offers learning in association with leading IITs, globally renowned institutions driving excellence in engineering, technology, and innovation.
Live sessions by IIT professors
Structured Academic Curriculum (Week 1-12)
Optional Campus Immersion
Independent Certification : FDE Academy + IIT
Frequently Asked Questions
We know you might have some questions before getting started in our platform.
Why is Forward Deployed Engineering becoming important?
As companies move from AI experimentation to production, they need engineers who can connect technical solutions with real business problems. Forward Deployed Engineers help bridge this gap by owning AI implementation and outcomes in real-world environments. Their work helps organizations turn AI capabilities into solutions that can be used within actual business workflows.
What is a Forward Deployed Engineer course?
A Forward Deployed Engineer course teaches the technical, problem-solving, and deployment skills needed to work on real-world AI systems. FDE Academy combines structured learning, FDE Labs, case studies, mentorship, and production-focused projects. The goal is to help learners develop practical skills that can be applied beyond a traditional classroom or online course.
What projects will I work on during the FDE program?
Learners work on realistic company case studies and simulations that reflect the challenges involved in deploying AI systems. The projects focus on building practical, production-grade solutions rather than only completing theoretical assignments. Learners also get experience working through constraints that can arise when AI systems are applied to real business problems.
Who is eligible for the FDE Academy program?
The program is designed for professionals with a technical background, including software engineers, AI/ML practitioners, data scientists, and platform or infrastructure professionals. Applicants generally need a four-year degree with mathematics, technical experience or an exceptional fresher profile, and a foundation in Python or SQL. Cloud exposure, AI/ML foundations, and clear technical communication are also part of the expected background.
Does the FDE program include IIT certification?
FDE Academy offers an optional IIT Certification Add-On alongside its FDE Academy certification. The add-on includes structured academic learning and live sessions with IIT professors, subject to the applicable program structure. Learners can therefore combine practitioner-led FDE training with an additional academic certification pathway.
What career opportunities can FDE skills lead to?
FDE skills can support career paths across Forward Deployed Engineering, Applied AI Engineering, AI Solutions Engineering, GenAI architecture, and AI systems roles. The program is designed around practical skills that can be applied to real-world AI and production environments. The specific career path can vary based on a learner’s experience, technical strengths, and areas of specialization.
What is the salary of a Forward Deployed Engineer?
Forward Deployed Engineer compensation varies based on experience, company, geography, and role responsibilities. FDE Academy provides indicative salary ranges for FDE and related AI engineering roles across India and global markets. These ranges are intended as market indicators, and actual compensation can vary significantly between individual roles and organizations.