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Career Program · KPHB, Hyderabad & Online

Forward Deployed Engineer

Take AI from demo to production — inside the customer's world.

Forward Deployed Engineers sit between product and customer: they understand a client's problem, build the solution, integrate it with real systems and data, and keep it running. This program combines software engineering, data engineering, generative and agentic AI, cloud deployment and the communication skills the role demands.

  • Course fee ₹30,000
  • Batches 9:30 AM – 11:30 AM · 11:30 AM – 1:30 PM
  • 11 modules
  • 66 topics
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Forward Deployed Engineer course at The Data School, KPHB, Hyderabad

What you will master

  • Explain the Forward Deployed Engineer role and how it differs from other engineering roles
  • Write production-quality Python, use Git and build REST APIs
  • Integrate and clean customer data with SQL and data pipelines
  • Build LLM applications and RAG systems on customer documents
  • Design AI agents that automate real business workflows
Talk to an advisor
  • 11Modules
  • 66Topics covered
  • 8Learning outcomes
  • 14Tools & technologies
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Course Overview

What this program covers.

Forward Deployed Engineers sit between product and customer: they understand a client's problem, build the solution, integrate it with real systems and data, and keep it running. This program combines software engineering, data engineering, generative and agentic AI, cloud deployment and the communication skills the role demands.

Career relevance

As companies move from AI pilots to AI in production, they need engineers who can work directly with customers, understand their systems and ship solutions that actually get used. Forward Deployed Engineers bridge that gap between product, engineering and the customer.

Who it's for

Developers, data and AI learners, and engineering graduates who want a hands-on, customer-facing role building and deploying AI solutions.

Prerequisites

Basic Python is recommended. An advisor can suggest a starting point if you are new to coding.

Learning outcomes

  • Explain the Forward Deployed Engineer role and how it differs from other engineering roles
  • Write production-quality Python, use Git and build REST APIs
  • Integrate and clean customer data with SQL and data pipelines
  • Build LLM applications and RAG systems on customer documents
  • Design AI agents that automate real business workflows
  • Containerise and deploy solutions to the cloud with CI/CD
  • Monitor, secure and support solutions in production
  • Run discovery, design solutions and present to stakeholders

Detailed Syllabus

11 modules. One clear path.

Every module, every topic. Expand a module to see exactly what you will learn.

11 modules · 66 topics

  1. Understand what FDEs do day to day and how they create value for customers.

    What you will learn

    • What a Forward Deployed Engineer does
    • FDE vs software, solutions and ML engineers
    • The deployment lifecycle: discovery to handover
    • Working embedded with customer teams
    • Owning outcomes, not just code
    • Case studies of AI deployments

Learning Experience

How you will learn.

  • Instructor-led learning

    Structured sessions that explain the why, not just the how.

  • Hands-on exercises

    Practise every concept in code as you learn it.

  • Assignments

    Reinforce each module with focused, reviewed work.

  • Applied practice

    Combine multiple skills to solve realistic problems.

  • Portfolio development

    Package your work so employers can see what you built.

  • Interview preparation

    Practise technical questions and project walkthroughs.

Tools & Technologies

The stack you will use.

  • Python
  • Git
  • GitHub
  • SQL
  • FastAPI
  • REST APIs
  • LLMs
  • Embeddings
  • Vector Databases
  • RAG
  • AI Agents
  • Docker
  • Cloud
  • CI/CD

Projects

Projects you'll build.

Portfolio projects that bring the syllabus together — each ends with a GitHub repository you can show employers.

Generative AI

RAG Document Assistant

Teams keep knowledge in PDFs and documents that are slow to search. This project builds an assistant that answers questions from your own documents and shows where each answer came from.

What you'll build

  • Document ingestion and chunking pipeline
  • Embedding and vector index
  • Retriever with metadata filters
  • Answer generation grounded in retrieved context
  • Chat interface with source citations

You'll leave with: Working assistant · GitHub repository with README · Evaluation notes · Demo walkthrough

  • LLMs
  • Embeddings
  • Vector Databases
  • RAG
  • APIs
  • Python

Agentic AI

Multi-Agent Business Assistant

Real business tasks need several skills at once. This project builds a team of specialised agents coordinated by a supervisor to complete multi-step tasks.

What you'll build

  • Supervisor agent that routes tasks
  • Specialist agents for research, data and writing
  • Shared memory and state
  • Tool access with permission limits
  • End-to-end run evaluation

You'll leave with: Working multi-agent system · GitHub repository with README · Evaluation results · Demo walkthrough

  • Multi-Agent Systems
  • Workflows
  • Tool Calling
  • RAG
  • Memory
  • LLMs

Career Outcomes

Roles this program prepares you for.

Relevant roles for the skills you will build. Outcomes depend on individual effort, background and the job market.

  • Forward Deployed Engineer
  • AI Solutions Engineer
  • AI Deployment Engineer
  • Customer-facing AI Engineer

FAQ

Questions, answered.

Still unsure? An advisor can walk you through the program.

What is a Forward Deployed Engineer?

A Forward Deployed Engineer (FDE) works directly with customers to understand their problems, then builds, integrates and deploys software and AI solutions into their real systems. The role combines hands-on engineering with problem-solving and client communication.

Where should I start if I am new to Forward Deployed Engineering?

If you know basic Python, start with The Forward Deployed Engineer Role and Software Engineering Essentials. If you are new to coding, an advisor can suggest a foundation first.

Is the program project-based?

Yes. Every module is paired with hands-on exercises, and the program builds towards portfolio projects that you can publish on GitHub and discuss in interviews.

Do I need to know how to code?

Yes, basic Python is recommended because you will build, integrate and deploy working systems. Everything beyond the basics is taught in the program.

What learning modes are available?

Programs are designed around instructor-led learning. Talk to an advisor for the learning modes (online, classroom or hybrid) available for the next batch.

Does the program include interview preparation?

Yes. Interview preparation is part of the learning experience, covering technical questions, project walkthroughs and how to present your portfolio.

Where are Forward Deployed Engineering classes held?

Classroom sessions run at The Data School, 4th Floor, MIG 549, Road Number 1, Above HDFC Bank, KPHB Colony, Kukatpally, Hyderabad — close to KPHB Colony Metro station. Live online and hybrid options are also available.

Can I attend a free demo class for Forward Deployed Engineering?

Yes. Book a free demo class at our KPHB centre or online — there's no obligation to enrol. The centre is open Monday to Saturday, 9 AM to 9 PM.

What is the course fee, and when do batches start?

The course fee is ₹30,000. Classroom batches run Monday to Saturday, 9:30 AM – 11:30 AM or 11:30 AM – 1:30 PM. You can attend a free demo class first — book one online or call the centre, and an advisor will share the next start date.

Learn Forward Deployed Engineer near you

Classroom batches Monday–Saturday (9:30 AM – 11:30 AM or 11:30 AM – 1:30 PM) at Road Number 1, KPHB Colony, Kukatpally — plus live online and hybrid options. Course fee ₹30,000.

Ready to Start Your AI Career?

Course fee ₹30,000. Speak with an advisor about the Forward Deployed Engineer program, learning modes and upcoming batch dates.

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