Advanced Executive Program in Forward Deployed AI Engineering

The Advanced Executive Program in Forward Deployed AI Engineering. The Advanced Certificate is issued by IITM Pravartak, the Technology Innovation Hub of IIT Madras, established under the Government of India's Department of Science and Technology.

An FDE is a client-facing engineer who sits on the front line with customers, solves high-stakes AI problems in their real environment, and ships solutions that deliver measurable ROI. The role sits where three roles meet: Software Engineer (builds production-grade code), Solutions Architect (turns business needs into technical solutions), and Platform Engineer (decides what should exist and what should not).

Generic AI often fails inside real enterprises, and FDEs are the people who close that gap. Over 90% of enterprise AI pilots stall at the last mile, and FDE job postings have spiked, reported at 800%+ growth (Financial Times reporting, 2025). The rise of the role is now tracked by mainstream outlets including the Economic Times and Analytics India Magazine.

Duration is roughly 3 to 4 months and about 85 hours of learning, delivered completely online. Format is live weekend sessions on Saturday and Sunday, about 3 hours each day (roughly 5 to 6 hours per weekend), across about 16 teaching weekends. Expect the live weekends plus a few hours of self-study and build each week.

25th August 2026.

English

Apply online, clear the pre-screening test, receive your offer letter, then pay the fee and begin with the Futurense bridge course.

Open to freshers and working professionals from technical or analytical backgrounds, with no minimum experience required. Education: a Bachelor's degree (minimum 3 years) in CS, IT, Engineering, Maths or a related field, or MCA, M.Sc, M.Tech, or MBA with tech/analytics exposure. BCA candidates are eligible. Minimum 50% marks or equivalent CGPA in graduation, plus clearance of the pre-screening test.

Both. There are two entry paths. Path A (AI/ML-leaning) is for those with basic Python and LLM familiarity who want to add consulting and problem-articulation skills. Path B (consulting/domain-leaning) is for those from IT services, consulting, BA, product or a domain function who are comfortable client-facing and want to learn how to scope and articulate AI problems, where light hands-on AI exposure is fine.

Apply online with your basic details, clear the mandatory pre-screening test, receive your official offer letter, then pay the fee and begin with the Futurense bridge course.

Yes, clearing a pre-screening test is mandatory to assess readiness for the program.

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An 85-hour journey across four phases and seven modules (six core plus one track-based module). Phase 1, Articulate the Problem (M1): problem articulation, consultative deep-dives, design thinking, business-to-tech translation. Phase 2, Build the Foundations (M2 to M3): advanced SQL, data modeling, pipelines, data quality, prototyping, prompt engineering. Phase 3, Model & Deploy (M4 to M5): applied ML, honest evaluation, MLflow and FastAPI, deep learning, NLP, embeddings. Phase 4, Deploy, Consult & Apply (M6 to M7): production RAG, discovery and governance, practitioner masterclasses, and an enterprise-app track.

M1 From Problem Solving to Problem Articulation (16 hrs), M2 Data Foundations for FDE (10 hrs), M3 Prototyping & Prompt Engineering (12 hrs), M4 Applied ML for Deployment (12 hrs), M5 Applied Deep Learning & NLP (14 hrs), M6 Deployment, Consulting & Industry Masterclasses (17 hrs), and M7 Enterprise Apps in the GenAI Era, a pick-one track (4 hrs).

The current, real FDE toolchain, hands-on with free and open-source tools: Python, Jupyter/Colab, GitHub; pandas, NumPy, PostgreSQL, DuckDB, Parquet, Airflow, dbt, Great Expectations; scikit-learn, Optuna, MLflow, FastAPI, Evidently; PyTorch, Hugging Face Transformers, Sentence Transformers; Gemini, Groq, Ollama (local); LangChain, LlamaIndex, LangGraph, CrewAI, Chroma; Guardrails AI, NeMo Guardrails, Llama Guard; Streamlit, Docker, Gradio. Paid services are referenced conceptually in masterclasses only, and local models via Ollama mean LLM work can be done at zero API cost.

A portfolio that proves you can own AI in production: 25+ portfolio artifacts, 20+ prompt templates, and 4+ applied case solutions. These span problem statements and one-page PRDs, SQL and data models, trained and tracked ML and DL models, RAG architectures and prompt libraries, go-to-market strategy docs, and a license-free enterprise-app track project.

A hands-on setting where classroom learning meets real execution. You work on live enterprise projects sourced from Futurense's industry network, with one-on-one mentorship from industry mentors. It includes four applied masterclasses in Module 6: Advanced RAG, AI Security (Red Teaming, Blue Teaming and Guardrails), Agentic AI in Industry, and Production Readiness for FDEs.

An enterprise-apps track where you add GenAI value on a real enterprise stack, license-free. You pick one track: Salesforce (CRM), SAP (ERP), or MuleSoft (integration). Hands-on work stays license-free using a free LLM API, while licensed features are shown as trainer demos. The outcome is a GenAI-augmented demonstration you can show a hiring manager.

Yes. A two-week, self-paced bridge course levels the playing field across backgrounds before the main program. It covers AI fundamentals (how LLMs work, prompt basics, capabilities versus limitations), business context (the enterprise AI landscape and reading vendor claims), and tool setup so your workspace is ready. Your journey begins here after enrollment.

Yes, an optional 2-day campus immersion at IITM Pravartak. It includes live masterclasses with faculty and industry leaders, networking with peers and professionals, campus access, capstone presentations, and project feedback.

Yes. A tentative additional fee of approximately ₹10,000, subject to actual cost, is collected separately before the immersion. Accommodation on or off campus is subject to availability.

Program Fee: ₹50,000 + 18% GST. Registration Fee: ₹9,000 (non-refundable, adjusted into the final fee). Total Payable (incl. 18% GST): ₹59,000.

No-Cost EMI is not available for this program, and there is no subvention.

The registration fee is non-refundable and is adjusted into the final fee. (Flag: the brochure does not state a full drop-out refund policy. Confirm before publishing, and note that since there is no subvention, the Roorkee refund wording should not be carried over as-is.)

The same FDE skill set opens a cluster of high-paying roles that companies hire under different names, including Forward Deployed Engineer, Senior Forward Deployed Engineer, Applied AI Engineer, Senior Applied AI Engineer, AI Solutions Engineer or GenAI Architect, and AI Systems Lead or Staff Engineer.

Ranges vary by experience, company, and geography. Examples: Forward Deployed Engineer ₹45 LPA to ₹1.8 Cr+ in India and $220k to $380k global, Applied AI Engineer ₹20 LPA to ₹70 LPA and $180k to $320k, and AI Systems Lead or Staff Engineer ₹80 LPA to ₹2.5 Cr+ and $450k to $750k+. Salary figures are market estimates from LinkedIn and Naukri job-posting analysis, Dec 2024 to 2025.

Note that Futurense provides career support but does not guarantee employment

Program completion requires 75% attendance and successful project submissions. The Advanced Certificate is awarded by IITM Pravartak upon meeting the program criteria.