Forward Deployed Engineer Course in India: Interview Kickstart FDE Program

Disclosure: FDE INDIA is powered by Interview Kickstart. Program details below come from Interview Kickstart’s FDE program brochure and curriculum (October 2026).

If you are looking for a Forward Deployed Engineer course or FDE training in India, Interview Kickstart’s FDE program is built for exactly that switch. It is a 23-week live cohort that takes working software engineers from AI engineering foundations to running a full customer deployment, then trains them for the FDE interview loop, which differs from a standard software engineering interview.

Here is what the program covers, how the 23 weeks are structured, who it suits and what support comes with it.

Why choose a dedicated FDE course, not another AI course

Most AI courses stop at build: you learn to call a model, wire up RAG and ship a demo. The FDE role, and the pay that comes with it, sits in everything after that: scoping the problem with a customer, deploying inside their environment under their data and security rules, keeping the system healthy in production and handing it over.

Interview Kickstart designed its FDE program around that full loop:

1. Scope — discover the problem with the customer and agree success criteria
2. Design — choose agents or deterministic systems, and defend the trade-offs
3. Build — ship the agentic system with tools, orchestration, guardrails and evals
4. Deploy — run it inside the customer’s environment, under their identity and data rules
5. Operate — observe, debug and control cost in production
6. Handover — runbooks, escalation paths and knowledge transfer

Demand for these skills is real in India. TCS has said it wants up to 8,900 forward deployed AI engineers (The Next Web), and AI companies such as Sarvam AI are hiring FDEs to deploy their models at enterprises (Analytics India Magazine). See who else is hiring on our companies page.

FDE course curriculum: 23 weeks, four phases

The program’s four connected phases. Source: Interview Kickstart FDE program brochure (Oct 2026).

Phase	Weeks	What you learn
AI Engineering Spine	1–11	Agent foundations, RAG, multi-agent systems, conversational and voice agents, MCP and A2A protocols, hybrid search, observability and safety, fine-tuning, and an AI engineering capstone
AI-Assisted Coding	12	Pair programming with Claude, and an AI-assisted coding framework for interview-style problem solving
FDE Spine	13–17	One complete customer engagement: discovery, statement of work and pricing, production build, APIs and MCP servers with access control, evals, compliance and handover
FDE Interview Prep	18–23	Agentic system-design cases, text-to-SQL and multi-agent coordination, decomposition and case interviews, AI-assisted pair coding, behavioural and procurement–security rounds

The sequence is deliberate: foundations before the FDE craft, and the craft before interview practice, so nothing is taught before the thing it depends on.

Projects and capstones

Learning is project-led. In the first phase you build 8 live guided projects alongside the instructor, covering agents, RAG, multi-agent systems, voice agents, agent protocols, production safety and fine-tuning. Then you build 2 industry-grade capstones on your own: an AI engineering capstone, and a full FDE capstone where you run a complete customer engagement from discovery to handover, presented live to the cohort. You finish with portfolio pieces you can talk through in an FDE interview, which matters because FDE hiring managers look for proof that you have taken something to production. The capstones help in three ways:

• A real end-to-end story: the FDE capstone takes you through discovery, statement of work, build, deployment and handover, which gives you concrete answers for case and behavioural rounds.
• A working system to demo and defend: in AI system-design rounds, you can walk through the architecture you built and explain the trade-offs you made.
• An answer to “have you shipped to production?”: a question FDE hiring managers often ask, backed by a system you built and presented, not just a course certificate.

Key features at a glance

• Built for the FDE role specifically, not a general AI course: the customer-facing craft (discovery, scoping, commercials, governance, handover) has its own five-week block.
• Three AI stacks: primary stack OpenAI Agents SDK with AWS Bedrock AgentCore, plus alternatives on Google ADK with Vertex AI and Claude Agent SDK with Azure AI Foundry. You learn patterns that carry across employers’ clouds.
• Engineering judgement, not just tools: when to use agents versus deterministic systems, and how to defend architectural trade-offs, the bar senior AI interviews test.
• Dedicated FDE interview prep: six weeks of FDE-specific rounds, including the decomposition and case round that originated at Palantir.
• 15 personalised mock interviews with MAANG+ hiring managers.
• Live and recorded: cohort-based live sessions, all recorded to revisit.
• Tools provided: the OpenAI API key and an AWS cloud lab are provided where the program needs them.
• Bonus self-paced tracks: DSA refresher, resume and LinkedIn masterclass, behavioural interview strategy, offer negotiation, and foundations covering Python, MCP, A2A, Docker, FastAPI and Kubernetes.

Who teaches it

The faculty is drawn from Interview Kickstart’s pool of 700+ MAANG+ instructors and mentors, including current and former forward-deployed practitioners. Instructors named in the brochure include a Principal Forward Deployed Engineering Lead and a Principal FDE at Microsoft, Forward Deployed Engineers at Salesforce and Mastercard, an FDE and AI Deployment Strategist at Salesforce, and a Head of AI and Data at MPL (ex-Flipkart and Google).

Who this FDE course is for

A good fit if you are:

• a backend, full-stack or platform engineer who wants to build AI systems customers actually use
• a senior software engineer who wants to own AI delivery end to end
• a machine learning or data engineer moving closer to customers and production
• a customer or solutions engineer at a cloud provider or AI startup who wants deeper AI engineering
• a DevOps, platform or SRE engineer specialising in running AI in production
• a hands-on TPM, tech lead or engineering manager returning to building

What you need: solid software engineering fundamentals and Python proficiency; SQL helps; comfort with at least one cloud (AWS, GCP or Azure) is preferred. No prior AI or ML background is required.

Time commitment: about 4–6 hours a week of live sessions and 6–8 hours a week of projects and practice, which suits working professionals.

Probably not for you yet if you are new to programming. FDE is a senior-leaning role, and the program assumes you already write production-grade code.

Placement and career support

Beyond the curriculum, the program includes end-to-end career support: 15 mock interviews with MAANG+ hiring managers, resume optimisation, career coaching, salary-negotiation guidance, performance-based referrals and alumni community access.

The program aims learners at three tiers of employers: frontier and top-tier companies hiring for the FDE title (such as Salesforce, Google Cloud, OpenAI, Anthropic, Microsoft, Databricks and AWS), Indian product companies and AI startups hiring the same work under titles like Applied AI Engineer or AI Solutions Architect, and GCCs, IT services firms and funded start-ups.

About Interview Kickstart: founded in 2014, it runs 18+ domain-specific programs and reports 27,000+ alumni, a highest offer of ₹1.7 Cr, an average package of ₹70 LPA and an average ROI of 5–7× the course price. These figures are aggregated across Interview Kickstart’s programs, not specific to the FDE cohort. Interview Kickstart has been recognised by TIME × Statista as a top EdTech company and listed in the GSV 150.

Is it worth it? The ROI case

The value of the program comes down to the pay gap between your current role and an FDE role. Published benchmarks put typical FDE pay in India at about ₹30–50 LPA for 3–6 years of experience and ₹50–80 LPA for 7–10 years (Taggd and others; see our FDE salary guide). Check your own likely band with the FDE Salary Estimator, then compare it with the program fee your advisor quotes.

A few honest caveats: no program guarantees an offer, entry-level FDE listings often pay less than the benchmarks, and your outcome depends on the projects you finish and the interviews you practise. The program’s strength is that it puts all three in one structured, live path.

How to join

1. Check your fit with the free FDE Alignment Checker, which scores your resume against what Indian employers ask for.
2. Book the free FDE masterclass to see how the program works and speak with a program advisor about fees, EMI options and the next cohort date: Book your free seat.

Still deciding what the role involves? Read our guides to the FDE career ladder, FDE skills Indian employers want and FDE interview questions.