For AI Engineers & Developers · 20% OFF TILL DEC 2026 · SAVE ₹3,600 · INCL. GST
Forward Deployed AI Engineer (FDE) Bootcamp
Client-Side Enterprise AI Architecture, Rapid Prototyping, Evaluation & Production Deployment · 12 Weeks / 60h Live · 20% Launch Offer Till Dec 2026: ₹14,400 incl. GST (Regular ₹18,000).
Duration
12 weeks (3 months)
Format
Tue, Wed & Thu 8:00 AM – 9:30 AM IST (Sat & Sun Off)
Batch size
Cyclic 4-Week Modular Loop
Live hours
60 Hours Total (48h Live Core Sessions + 12h FDE Lab Clinics & Client Simulations)
Master the Palantir/OpenAI/Anthropic-style Forward Deployed Engineer operating model across 6 bi-weekly sprints: 48-hour executive PoC scoping, RBAC permission-filtered Hybrid RAG over messy enterprise data, custom MCP servers for Jira/ServiceNow/CRM/Slack, automated LLM-as-a-Judge eval gates, VPC/Cloud Run deployment with Langfuse tracing, and a live 2-week Client Simulation Capstone.
Who it's for: Software engineers, full-stack developers, solution architects, and AI engineers who want to operate as Palantir/OpenAI/Anthropic-style Forward Deployed Engineers embedding directly with enterprise teams to scope, prototype, evaluate, and ship production GenAI systems.
You leave with
- Run executive AI discovery & translate messy C-suite pain points into working 48-hour GenAI PoCs with clear latency, cost, and accuracy SLAs
- Ingest messy enterprise data (PDFs, SQL/ERP exports, SharePoint/Confluence) with document-level RBAC permission filtering & cited Hybrid RAG
- Build stateful LangGraph & Google ADK multi-agent systems with custom MCP servers integrating Jira, ServiceNow, Slack, CRM & REST/GraphQL APIs
- Engineer automated golden datasets, LLM-as-a-Judge eval harnesses, red-teaming suites, PII redaction, and zero-hallucination guardrails
- Deploy containerized AI microservices across VPC/Cloud Run/Vertex AI with OpenTelemetry/Langfuse tracing, semantic caching & token-budget routing
- Complete a 2-week Live FDE Client Simulation Capstone: Discovery Call → Architecture RFC → Deployed Enterprise Agent → Stakeholder Sign-Off Defense
Assessment & certificate
- 6 Bi-Weekly FDE Sprint Deliverables (mentor-reviewed on GitHub)
- Automated Golden-Dataset Evaluation Pass (>=92% Faithfulness)
- Live Simulated Client Discovery & Architecture Defense
- Final FDE Capstone Deployment & Executive Handover
- IndMinds Verified Forward Deployed AI Engineer (FDE) Certificate with public GitHub portfolio verification and Architecture Defense Distinction.
Complete Protected Curriculum
A working demo every step.
Open any module to see topics, hands-on labs, the working demo and the deliverable.
Week 2: 48-Hour Client PoC + Signed-Off Enterprise Architecture RFC
Week 6: Permission-Aware Hybrid RAG + Multi-Agent MCP Workflow
Week 10: Cloud-Deployed AI Service with Automated Eval Gate & Tracing
Week 12: Live FDE Client Simulation Capstone & Executive Sign-Off Defense
12 Weeks (6 Bi-Weekly FDE Field Sprints) culminating in a Live Executive Client Sign-Off Demo Day.
- Tue, Wed & Thu 8:00 AM – 9:30 AM IST (Sat & Sun 100% Off) · Next Intake: Thu, 12 Nov 2026
Weekly live FDE architecture roast, simulated client discovery calls, and GitHub proof-of-work portfolio review
Module 01 · FDE Discovery & Rapid Scoping
Weeks 1–2FDE Discovery & Rapid Enterprise Scoping
Topics
- The Forward Deployed AI Engineer (FDE) operating model (Palantir / OpenAI / Anthropic field engineering playbook)
- Translating ambiguous C-suite & business pain points into quantifiable AI architecture specs within 48 hours
- Defining production SLAs: p95 latency budgets, token cost ceilings, security boundaries, and deterministic fallback paths
- Enterprise data readiness audits: evaluating messy schemas, OCR quality, access controls, and build-vs-buy trade-offs
Hands-on
- Live simulated stakeholder discovery interview + rapid 48-hour GenAI PoC build in Python 3.11 & FastAPI
- Authoring an enterprise Architecture RFC & ROI TCO calculator sheet for CFO/CTO sign-off
Working demo: Sprint 1 Deliverable: Working 48-Hour Client PoC + Signed-Off Architecture RFC
Deliverable: 48-Hour Rapid PoC Repo + Enterprise Architecture RFC Document
Module 02 · Enterprise Data & RBAC RAG
Weeks 3–4Messy Enterprise Data Ingestion & Hybrid RAG in the Field
Topics
- Ingesting real-world enterprise mess: multi-column PDFs, scanned invoices, SQL/ERP exports, SharePoint & Confluence wikis
- Document-level Role-Based Access Control (RBAC) & ACL metadata filtering so users only retrieve what they are authorized to see
- Hybrid retrieval architecture: Dense embeddings + BM25 lexical search + Reciprocal Rank Fusion (RRF) + Cross-Encoder Reranking
- Strict inline citation enforcement, table-aware chunking, and 'I don't have enough verified context' abstention logic
Hands-on
- Build a permission-aware Hybrid RAG ingestion & query service over 1,000+ mixed enterprise PDFs and SQL tables
- Implement Cross-Encoder reranking and citation verification middleware
Working demo: Sprint 2 Deliverable: RBAC-Enforced Enterprise Hybrid RAG API with Page/Row Citations
Deliverable: Production RBAC Hybrid RAG Repository + Retrieval Benchmark Report
Module 03 · Agentic Workflows & MCP Integration
Weeks 5–6Agentic Workflow Automation & Custom MCP/Tool Integration
Topics
- Architecting stateful multi-agent workflows with LangGraph and Google ADK (Supervisor, Router, and Human-in-the-Loop patterns)
- Building custom Model Context Protocol (MCP) servers and typed tool-calling interfaces for enterprise systems
- Integrating agents with live business systems: Jira, ServiceNow, Salesforce/HubSpot CRM, Slack, and internal REST/GraphQL APIs
- Idempotency, transactional rollbacks, cyclic error recovery, and approval gates for high-stakes write actions
Hands-on
- Build a Custom MCP Server + LangGraph Supervisor Agent that triages tickets, queries SQL/RAG, and drafts approved CRM/Jira actions
- Wire human-in-the-loop Slack/Webhook approval checkpoints before executing state-changing API calls
Working demo: Sprint 3 Deliverable: Multi-Agent Enterprise Action Supervisor with Custom MCP Tools
Deliverable: LangGraph + Custom MCP Enterprise Agent Repo
Module 04 · Evals, Red-Teaming & Zero-Hallucination SLAs
Weeks 7–8LLM Evals, Guardrails, Red-Teaming & Zero-Hallucination SLAs
Topics
- Designing golden evaluation datasets from real client failure logs and edge-case transcripts
- Automated CI/CD evaluation pipelines: Faithfulness, Context Recall, Tool-Selection Accuracy & LLM-as-a-Judge rubrics
- Adversarial red-teaming: defending against indirect prompt injection, jailbreaks, data exfiltration, and toxic outputs
- Enterprise compliance middleware: real-time PII redaction, audit logging, and Google Cloud SAIF security alignment
Hands-on
- Build an automated pytest + LLM-as-a-Judge evaluation gate that blocks deployment if faithfulness drops below 95%
- Add PII scrubbing and prompt-injection firewall middleware to your FastAPI agent service
Working demo: Sprint 4 Deliverable: Automated Eval Gate + Red-Team Security & Guardrail Dashboard
Deliverable: Golden Eval Suite + Guardrail Middleware Package
Module 05 · VPC Deployment, LLMOps & Latency Optimization
Weeks 9–10VPC/On-Prem Deployment, CI/CD, Observability & Latency Optimization
Topics
- Containerizing production AI microservices with Docker, multi-stage builds, async workers, and health checks
- Deploying across enterprise environments: Google Cloud Run, Vertex AI endpoints, and private VPC / vLLM self-hosted patterns
- Full-stack LLM observability: OpenTelemetry & Langfuse distributed tracing, token cost attribution, and drift alerts
- Cutting latency & cloud bills by 60%: semantic caching, prompt compression, model routing (Flash vs Pro), and streaming SSE
Hands-on
- Deploy your containerized RAG + Agent stack to Google Cloud Run with Langfuse tracing and semantic caching enabled
- Run load tests to tune p95 latency and verify token-budget rate limiting
Working demo: Sprint 5 Deliverable: Cloud-Deployed AI Microservice with Live Telemetry & Cost Dashboard
Deliverable: Production Cloud Run Deployment + Observability & Latency Report
Module 06 · Live FDE Client Simulation Capstone
Weeks 11–12Live FDE Client Simulation Capstone & Executive Sign-Off
Topics
- End-to-end 2-week simulated enterprise deployment from raw client brief to production cutover
- Week 11: Client discovery call, data audit, Architecture RFC approval, and full ingestion + agent + eval implementation
- Week 12: Production deployment, executive ROI readout deck, runbook handover, and live stakeholder Q&A defense
- FDE Career Playbook: Cracking Forward Deployed Engineer interviews (coding, messy-data debugging, and live client roleplay rounds)
Hands-on
- Execute a complete simulated enterprise engagement and defend your architecture live before a senior architect panel
Working demo: FINAL DEMO DAY: Live End-to-End Enterprise AI System + Eval Dashboard + Executive Sign-Off Pitch
Deliverable: Complete FDE Capstone Repository, Live URL, Eval Report & Executive Handover Pack
Final working demo
End-to-End Enterprise Forward Deployed AI System & Executive Sign-Off
Act as the Lead Forward Deployed AI Engineer for a simulated enterprise client (e.g., BFSI Claims Triage & Policy Copilot, Healthcare SOP & Compliance Agent, or Manufacturing Supply-Chain Incident Resolver). Deliver the Architecture RFC, RBAC Hybrid RAG pipeline, custom MCP tool-calling agent, automated evaluation suite, Dockerized Cloud Run deployment, and live executive sign-off presentation.
Format: Live 15-minute Executive Sign-Off Defense: 5-min Architecture & ROI Walkthrough + 5-min Live Production Demo & Failure-Mode Test + 5-min CTO/Architect Panel Q&A.
- Business Scoping & Architecture RFC Clarity 20%
- RBAC Hybrid RAG & Messy Data Handling 25%
- Agentic Tool-Calling, MCP & Guardrails 25%
- Automated Eval Benchmarks & Cloud Observability 15%
- Executive Sign-Off Defense & Code Quality 15%
Direct Batch Selection & Instant Razorpay Enrolment
Select your live batch slot & register online (incl. GST).
Next open cohort: Batch 1 (Nov 2026 Intake) — Starts Thu, 12 Nov 2026 (Starts Thu, 12 Nov 2026 · Tue, Wed & Thu 8:00 AM – 9:30 AM IST (Sat & Sun Off)). All prices include GST.
20% Launch Offer (Valid till Dec 2026 · incl. GST)
₹14,400 (incl. GST)
Flat 20% off regular ₹18,000 fee (Save ₹3,600) · All-inclusive of GST · Full 12-week (60h) FDE Bootcamp.
Early-Bird FDE Seat (First 10 Seats · incl. GST)
₹13,500 (incl. GST)
Early-Bird offer (Save ₹4,500 vs ₹18,000 regular) · All-inclusive of GST · Includes 1:1 Executive RFC & Mock Defense.
Standard Full Programme Fee (Regular ₹18,000 · incl. GST)
₹18,000 (incl. GST)
Standard fee after December 2026 · All-inclusive of GST.
Prices are inclusive of GST. All fees are non-refundable (policy).
| Option | Amount |
|---|---|
| 20% Launch Offer (Valid till Dec 2026 · incl. GST)Flat 20% off regular ₹18,000 fee (Save ₹3,600). All-inclusive of GST. | ₹14,400 (incl. GST) |
| Early-Bird Seat (First 10 Seats · incl. GST)Extra Early-Bird savings (Save ₹4,500 vs regular ₹18,000). All-inclusive of GST. | ₹13,500 (incl. GST) |
| Standard Full Programme Fee (Regular · incl. GST)Standard fee after December 2026. All-inclusive of GST. | ₹18,000 (incl. GST) |
- Tools: All cloud and LLM labs run on free developer tiers or included sandbox credits.
- Group, corporate and early-bird options are arranged on request: write to us.
Enroll in Forward Deployed AI Engineer (FDE) Bootcamp
Select your preferred live batch slot and complete instant Razorpay registration below.
Before you join
- Working knowledge of Python or any backend/full-stack language (JavaScript/TypeScript, Java, Go, C#)
- Comfort with basic REST APIs and Git
- Ambition to build and deploy real client-facing production AI systems
What you need
- Python 3.11+, FastAPI, Pydantic, Docker
- Google Cloud Vertex AI / Gemini 2.5 Pro & Flash, Cloud Run
- ChromaDB / pgvector, Cross-Encoder Rerankers
- LangGraph, Google ADK, Model Context Protocol (MCP)
- Pytest, RAGAS / LLM-as-a-Judge, Langfuse / OpenTelemetry
FAQ
Questions, answered.
What is a Forward Deployed AI Engineer (FDE) and why is it in such high demand?
Popularized by Palantir, OpenAI, and Anthropic, a Forward Deployed Engineer embeds directly with enterprise customers to turn messy business problems into deployed production AI systems in days instead of quarters. Companies across India and globally are hiring FDEs at ₹14 LPA–₹38+ LPA because they combine strong AI engineering (RAG, Agents, Evals, Deployment) with client-facing architecture and rapid execution.
How is the FDE Bootcamp different from the Applied AI Engineer Bootcamp?
While the Applied AI Engineer Bootcamp focuses on core LLM APIs, RAG, and LangGraph foundations from the ground up, the FDE Bootcamp trains you for real-world enterprise field engineering: scoping ambiguous client problems into 48-hour PoCs, handling messy PDFs/SQL with RBAC permission filtering, building custom MCP servers for Jira/CRM/Slack, enforcing zero-hallucination SLAs with automated eval gates, and defending your architecture to C-suite stakeholders.
Are all prices inclusive of GST?
Yes! The 20% Launch Offer fee of ₹14,400 (regular ₹18,000) and the Early-Bird fee of ₹13,500 are 100% inclusive of GST with zero extra tax at checkout.
Are fees refundable?
No. All fees are non-refundable once paid.