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FDE FOR FRESHERS / CORE PROGRAMME

Forward Deployed Engineer (FDE) course for freshers.
Start with curiosity. Learn to ship.

FDE for Freshers

Your first engineering role starts with the foundations. Build Python, APIs, cloud and AI skills, then practise the client conversations that turn a working system into a useful delivery.

FDE for Freshers · No coding background needed

YOUR FIRST DELIVERY JOURNEYEXPLORE ↓

Build your engineering foundation.

Start with Python, Git and the command line. Learn to test your work and explain it in a clear README.

YOU BUILDTested Python CLI tool

Illustrative learning workflow · Select a stage to explore

6–7 months

Programme duration

7

Learning phases

Live

Practitioner-led learning

Build

Projects & capstone

At a glance

NeuraPath Academy's FDE for Freshers programme runs for 6–7 months, taught live online by working practitioners, with optional classroom labs at our Noida centre (A-3, Sector-4). You learn software engineering foundations, SQL and APIs, cloud and production engineering, then LLMs, RAG, agents and client delivery, finishing with a client-style capstone.

Fee: EMI from ₹8,000/month · full fee shared on your counselling call

Eligible learners are covered by our job guarantee with minimum package assurance, or 50% of the fee back, for those meeting the attendance, deliverable and capstone criteria. Terms and conditions apply. Read the terms.

A STARTING POINT THAT FITS YOU

Bring your curiosity. Build your capability.

Build your engineering foundations, then take AI from discovery to delivery.

PATH 01

Final-year students & fresh graduates — from CS/IT or any engineering/science stream — no coding background needed.

Plan my starting point ↗
PATH 02

Early-career professionals (0–2 yrs) — in QA, support, testing or non-dev roles moving into AI engineering.

Plan my starting point ↗
PATH 03

Freshers who want more than a 'course' — a client-facing, build-and-ship engineering career in AI.

Plan my starting point ↗
THE CAPABILITIES YOU DEVELOP
Write clean, tested, production-quality Python — starting from absolutely zero.Use the professional toolkit daily: Git/GitHub, Linux/CLI, VS Code, AI coding copilots (validated, never blind).Query and model data with advanced SQL, and integrate files, databases and SaaS/enterprise APIs.Build and secure real APIs with FastAPI — auth, webhooks, background jobs.Ship software the industry way: pytest, CI/CD with GitHub Actions, Docker, cloud deployment & monitoring.Build production LLM systems: structured outputs, RAG pipelines with evals, agents, tool-use and MCP servers.Guardrail, secure and observe AI systems — OWASP LLM Top-10, PII handling, LangSmith/Langfuse.Run client discovery, manage stakeholders and deliver demos that win — the consulting craft no fresher course teaches.Graduate with a deployed FDE capstone engagement and a portfolio that reads like work experience.

Already experienced in IT and comfortable with coding, APIs and deployment? Explore the accelerated FDE for Professionals pathway →

FDE for Freshers learners coding together in the NeuraPath classroom, Sector-4, Noida

WHERE YOU LEARN

In our Noida classroom, or live online.

FDE for Freshers weekend classes are taught in person at our centre in Sector-4, Noida, and streamed live and recorded at the same time. It is one cohort and one class — come in every weekend, some weekends, or join online throughout.

  • CentreA-3, Sector-4, Noida-201301, Uttar Pradesh
  • WhenWeekend sessions of about three hours
  • Cohort15–20 learners, one instructor in the room

See the classroom and the Noida FDE details →

YOUR LEARNING JOURNEY

Seven phases. Your first complete delivery.

Start at software foundations and build toward cloud, AI and client delivery across approximately 30 weeks. Each phase adds a portfolio artefact.

MODULE 01 / 0760 learning hours

Software Engineering Foundations

WHAT YOU WILL EXPLORE
  • The FDE Landscape & Mindset
  • Python — Zero to Engineer
  • The Professional Toolkit
  • Problem Solving & Core CS
THE WORK YOU BUILD

Build, test and publish a real Python CLI tool to GitHub — with a README, tests and a code-reviewed PR workflow.

MAKE ROOM FOR THE PRACTICE

Project-first learning across approximately 30 weeks; 9–12 hours per week

Discuss the schedule →
YOUR WORKING TOOLKIT
Python (zero → production), Git & GitHub, Linux/CLI, VS Code, typing & packagingGitHub Copilot / Claude / Cursor — AI-assisted engineering, with validation disciplineSQL (PostgreSQL, MySQL), MongoDB (intro), pandas, ETL basics, REST & SaaS APIsFastAPI, Pydantic, auth (API keys/OAuth/JWT), webhooks, task queues (intro)OpenAI & Anthropic APIs, RAG (vector DBs, reranking, RAGAS), LangGraph, MCP serverspytest, GitHub Actions (CI/CD), Docker, AWS/GCP basics, monitoring & loggingArchitecture diagrams, scoping docs, Streamlit demo UIs, security & compliance basicsDiscovery, requirements, stakeholder mapping, technical writing, demos

BUILD AS YOU LEARN

A portfolio with a story behind every piece.

Explore the work attached to each module. Follow the progression from your first exercise to the final capstone.

PROJECT MILESTONE 01

Software Engineering Foundations

Build, test and publish a real Python CLI tool to GitHub — with a README, tests and a code-reviewed PR workflow.

CURRICULUM PROJECT / LEARNING ARTEFACT
  1. 01Understand
  2. 02Build
  3. 03Review
  4. 04Explain
CONNECT THE LEARNING TO THE WORK

The FDE Landscape & Mindset; Python — Zero to Engineer; The Professional Toolkit; Problem Solving & Core CS

MAKE YOUR WORK EASY TO DISCUSS

What question did you start with? What did you build? Explain one decision, one limitation and what you would improve next.

YOUR PROGRAMME PORTFOLIO
  • Build, test and publish a real Python CLI tool to GitHub — with a README, tests and a code-reviewed PR workflow.
  • Build an integration service that pulls from a database + a live third-party API, cleans and joins the data, and serves it through your own FastAPI endpoint with a Streamlit dashboard.
  • Containerise your Phase-2 integration service, add a full CI/CD pipeline, deploy it to the cloud, and wire up monitoring — a live URL you can put on your resume.
  • Build a production RAG assistant over a real enterprise document set — chunking, vector DB, reranking, a RAGAS evaluation suite and a clean demo UI.
  • Ship a deployed agent system: an MCP server exposing internal tools + a LangGraph agent that uses it — with guardrails, an eval suite and observability dashboards.
  • Live roleplay: run a mock discovery session and deliver a winning demo, with your mentor playing a difficult enterprise client — recorded, reviewed and re-run until it's strong.
  • Capstone: run a full FDE engagement end-to-end for a fictional enterprise client — the single strongest artefact a fresher can show a hiring manager.

WHAT THE WORK ADDS UP TO

Learn it. Build it. Explain it.

01 / CAPABILITY

Build like an engineer

Practise Python, version control, testing and code review from the start.

02 / CAPABILITY

Connect and deploy

Integrate data and APIs, then add containers, CI/CD and cloud deployment.

03 / CAPABILITY

Engineer useful AI

Build RAG and agent systems with tools, evaluations and guardrails.

04 / CAPABILITY

Deliver to a client

Practise discovery, scoping, demonstrations and a full engagement simulation.

CAPABILITY DIRECTIONS

Forward Deployed EngineerAI Solutions EngineerJunior AI Engineer

These roles describe directions the curriculum supports. They are not a guaranteed job title, employer or salary.

PLAN YOUR STARTING POINT

Turn your interest into a learning plan.

Select what describes you today. Use it to prepare for a conversation about the course, your goals and the time you can commit.

0 / 4

Select the statements that fit. You can still enquire with any number selected.

This pathway starts from zero coding experience. Already comfortable building and operating services? Explore FDE for Professionals for the accelerated route.

Discuss my learning plan ↗

Taught by practitioners, not presenters

Both instructors hold full-time senior data science roles. You are learning from people who ship this work every week.

PK
Pankit Kumar
Lead Instructor
Sr. Data Scientist, Parexel (a Goldman Sachs–backed company)

10 years in Data Science & AI, building and shipping production systems in regulated pharma/clinical environments. Freelance trainer at BIA, AnalytixLabs and Scaler — he has taught this material to thousands of working professionals.

Data ScienceMLOpsClient deliveryTeaching
IS
Ishaan Sharma
Co-Instructor — AI / GenAI
Senior Data Scientist, Nuvo AI (Meril Group)

Close to a decade across NLP, computer vision and Generative AI; previously a Data Scientist at Crimson Energy. Microsoft Azure ML Scholar. Builds AI products from first architecture to multi-node production — LLM fine-tuning, agentic AI and advanced RAG with knowledge graphs — and leads the agentic-AI and MCP modules.

GenAI & LLMsAgentic AI & RAGNLP / CVLLMOps

BEFORE YOU ENROL

A clear picture of your next step.

Understand the starting point, learning format and portfolio before choosing your programme.

What is the syllabus of the FDE course for freshers?

Seven phases over about 30 weeks: software engineering foundations (Python, Git, testing), data, SQL and APIs, production engineering and cloud (Docker, CI/CD), applied ML and GenAI (LLMs, RAG, evaluation), agents and MCP, the client-facing craft (discovery, scoping, demos) and a capstone engagement. Each phase ends with a project a mentor reviews one to one.

How long is the Forward Deployed Engineer course?

Six to seven months, about 30 weeks and roughly 280 learning hours. Classes are two three-hour live sessions every weekend, in our Noida classroom or online, and you should plan for 9–12 hours a week in total.

Do I need a coding background for this FDE course?

No. Phase 1 starts with Python from zero. What you do need is the time: six to seven months of weekends plus a few hours on weekdays.

What is the fee for the FDE course, and is EMI available?

The full fee, inclusive of GST, is shared on a free counselling call. EMI starts from ₹8,000 a month, credit-card EMI is available for up to 24 months, and paying in one go gets 5% off.

Does the FDE course come with a job guarantee?

Yes. If you meet the conditions (70% in every assessment, 80% attendance, four logged applications a week, attending arranged interviews and settled fees), we guarantee a qualifying offer of at least ₹6 lakh fixed CTC within six months of certification, or refund 50% of the fee you paid. Full terms are at neurapath.in/terms#job-guarantee.

Is the course online or in Noida?

Both, and it is the same class. Weekend sessions are taught in our Sector-4, Noida classroom and streamed live at the same time, and every session is recorded.

What jobs can I apply for after the FDE course?

Freshers usually start as associate FDEs, solutions or implementation engineers, or AI engineers, and move into FDE titles after a year or two. In October 2026 only 6 of the 139 FDE openings we tracked in India were labelled entry level, so we plan for that first step.

How is FDE for Freshers different from FDE for Professionals?

Freshers starts from zero and spends the first 16 weeks on engineering foundations. Professionals assumes you already build and deploy software and concentrates on enterprise delivery in a shorter, proposed schedule.

Read the full FDE for Freshers guide +

FDE course syllabus at a glance

The course runs for about 30 weeks and is built as seven phases. Each phase ends with something you have to ship, and a mentor reviews it with you one to one before you move on. The hours below are total learning hours for the phase: live classes plus the practice and project work around them.

Forward Deployed Engineer course for freshers: syllabus by phase
PhaseWeeksHoursWhat you learnWhat you ship
1. Software engineering foundations1–7~60Python from zero, Git and GitHub, the command line, testing, basic data structuresA Python command-line tool, published on GitHub with tests and a reviewed pull request
2. Data, SQL and APIs8–12~48SQL and databases, building and calling APIs with FastAPI, cleaning and joining dataAn integration service that pulls from a database and a live third-party API, served through your own API and a small dashboard
3. Production engineering and cloud13–16~40Testing and CI/CD, Docker, cloud basics, monitoringThe Phase 2 service, containerised and deployed on a live URL you can put on your CV
4. Applied ML and GenAI17–21~44How LLMs work, prompt and context design, retrieval (RAG), evaluationA RAG assistant over a real document set, with an evaluation report
5. Agents, MCP and LLMOps22–25~36Agents and tool use, MCP servers, guardrails, security, observabilityA deployed agent that uses your own MCP server, with guardrails and an eval suite
6. The client-facing craft26–27~22Discovery calls, scoping, stakeholders, demos to non-technical peopleA recorded mock discovery call and demo, with your mentor playing a difficult client
7. Capstone and career launch28–30~30A full engagement end to end, interviews, CV and portfolioA complete client engagement for a fictional company: discovery notes, architecture, working build, deployment, panel demo and handover documents

About 280 learning hours in total. Plan for 9–12 hours a week, of which about 6 are live classes at the weekend.

People sometimes ask why the AI part starts only in week 17. It is deliberate. Most of what goes wrong when a company tries to use AI is ordinary engineering: data that does not join, an API that times out, a deployment nobody can repeat. If you can do those things well, the AI layer is the easier half. If you cannot, an impressive demo stays a demo.

What a normal week looks like

Two live classes of about three hours each, on Saturday and Sunday. You can sit in our classroom at A-3, Sector-4, Noida, or join the same class live online; every session is recorded as well. A batch is 15 to 20 people, which is small enough that everyone's code gets looked at. Between classes there is an assignment most weeks, and the phase project builds up over the weeks of that phase.

If you are in college or working a weekday job, this is the main thing to check: can you keep your weekends and about four or five extra hours on weekdays for six to seven months? The people who struggle in this course are rarely the ones who started with no coding. They are the ones whose weeks filled up.

Fees, EMI and how people actually pay

We share the full fee on a free counselling call instead of printing it, mainly because the payment plan depends on the batch you join and whether you pay in one go. What we can say here:

  • The fee is inclusive of GST. The number you are quoted is the number you pay.
  • EMI starts from ₹8,000 a month, and most major bank credit cards offer EMI for up to 24 months.
  • Paying the full amount at once gets 5% off.
  • A booking amount of 10% reserves your seat. The refund rules, with your own numbers worked out, are in the enrolment confirmation you receive before you pay the rest.

If you are comparing us with other FDE courses, we have put every published fee in India in one table, converted to GST-inclusive, in FDE course fees in India. It includes the programmes that are cheaper than ours.

The job guarantee, in plain words

If you complete the course and do your part, we guarantee a qualifying job offer of at least ₹6,00,000 a year fixed CTC within six months of your certification. If that does not happen, we refund 50% of the fee you paid.

Doing your part means: at least 70% in every graded assessment, at least 80% attendance in live classes, at least four logged job applications every week during the placement window, attending every interview we arrange, and having your fees settled. A qualifying job is a full-time role in software engineering, AI, data, solutions engineering or forward-deployed work. The full clause, including how to claim, is in our published terms, and every learner gets a signed copy.

Two things worth knowing. Most FDE courses in India do not offer a guarantee at all; IIT Delhi's programme, for example, says explicitly that no placement is implied. And ₹6 lakh is a floor, not a forecast. Freshers with a strong portfolio aim for more, but we only promise what we can stand behind.

What the FDE job market in India looks like right now

We track Forward Deployed Engineer and closely related openings in India every few hours for our FDE jobs board. On 16 October 2026 it listed 139 open roles at 83 companies. Bengaluru had 45 of them, Mumbai 26, Hyderabad 20, Gurugram 12, Delhi 9 and Noida 3.

The honest part: only 6 of those 139 were labelled entry level. Most FDE openings want two or more years of experience. So a fresher's realistic first step is usually an associate FDE, solutions engineer, implementation engineer or AI engineer role, with FDE titles following a year or two later. This course is built for that path. The skills the postings ask for most were client-facing work (66 postings), AI agents (57), AWS (39), Python (38), APIs (37) and RAG (31). All of them are in the syllabus above.

Who teaches it

Pankit Kumar is the Lead Instructor. He is a Senior Data Scientist at Parexel with about ten years in data science and AI, and has taught at BIA, AnalytixLabs and Scaler. Ishaan Sharma, a Senior Data Scientist at Nuvo AI (Meril Group) and a Microsoft Azure ML Scholar, leads the AI and GenAI sessions. Both still do this work for a living, which is why the course spends so much time on the unglamorous parts.

Who should not join

  • You already build and deploy services at work. You will find Phases 1 to 3 slow; look at FDE for Professionals instead.
  • You cannot keep your weekends for six to seven months.
  • You want certificates more than skills. Hiring for these roles is done on what you can show and explain, not on the name on a certificate.
  • Your budget is a few thousand rupees. Start with our free FDE learning plan and come back if you get stuck.

When the next batch starts

The current weekend batch started on 26 September 2026. People who join in the first few weeks catch up from the recordings with a mentor's help. The counselling call will tell you whether joining now or waiting for the next intake makes more sense for you.

Not ready to talk to anyone yet? Read our complete Forward Deployed Engineer guide first, check what FDEs earn in India, or try the free skill check to see where your starting point is.

CONTINUE EXPLORING

FDE course fees in India, compared with GST included

One table of published FDE course fees in India, every figure converted to GST-inclusive, with duration, live hours, refund terms and a simple way to compare cost per live hour.

Read the guide · 11 min ↗

Forward Deployed Engineer Salary in India (2026): What Freshers and Seniors Really Earn

Salary sites disagree by more than double on FDE pay in India. Here is why, what each number actually describes, and what a fresher can realistically expect.

Read the guide · 10 min ↗

The $1.5 Million FDE Headline, Read From India: What Forward Deployed Engineers Earn Now

A Wall Street Journal story put FDE pay at up to $1.45 million. Here is who that describes, what the role pays in India, and where the 115 open roles on our board are this week.

Read the guide · 9 min ↗

Free Forward Deployed Engineer Course: A 12-Week Plan Built From Free Resources (2026)

No free course makes you a job-ready FDE on its own. This 12-week plan strings together the best free material, with something to build every week, and is honest about the parts free can't cover.

Read the guide · 12 min ↗

AI Pilots Keep Stalling. That's Why Companies Are Hiring Forward Deployed Engineers

Companies bought AI. Most of it never made it into daily work. The evidence on why, who is being hired to fix it, and what that means if you are choosing your next skill.

Read the guide · 12 min ↗

FDE Case File 03: A WhatsApp Assistant for a Diagnostic Lab That Never Sends the Wrong Report

A lab chain wants WhatsApp answered at 11 pm: report status, home collection, prices, fasting rules. The model is the easy part. Deciding who may receive a report is not.

Read the guide · 13 min ↗

FDE Case File 02: Connecting AI to Legacy Systems Without Handing Over the Keys

Sales staff want to ask an AI about any order, price or shipment. The data sits in a 15-year-old ERP, an undocumented SOAP service and CSV files. Here is how that gets connected without giving the AI the keys.

Read the guide · 10 min ↗

FDE Case File 01: An AI Compliance Assistant for a Bank Whose Data Can't Leave the Building

A compliance team wants answers from RBI directions in seconds, with the paragraph cited. The data can't go to a foreign API. Here is why that is hard, and how the system is actually built.

Read the guide · 9 min ↗

FDE Field Report, October 2026: 8,900 Seats at TCS, About 1,500 People to Fill Them

TCS, Infosys and Wipro have announced plans for thousands of FDEs. A staffing firm counts about 1,500 available. Here is what that gap means — and what the hype leaves out.

Read the guide · 9 min ↗

How to Become a Forward Deployed Engineer (2026): A Step-by-Step Roadmap

You don't need to be a senior engineer first — but you do need the full stack of skills, learned in the right order, plus proof you've shipped. Here's the roadmap.

Read the guide · 9 min ↗

What Is a Forward Deployed Engineer (FDE)? The Role, Skills & Salary in India

Palantir invented the title, OpenAI and Anthropic made it famous, and it's now the highest-paid entry point in AI. But what does a Forward Deployed Engineer actually do all day?

Read the guide · 8 min ↗

Is Forward Deployed Engineer a Good Career in 2026? An Honest Assessment

The pay is real and the demand is exploding — but it's not for everyone. Here's the honest case for and against the FDE career.

Read the guide · 6 min ↗

YOUR NEXT STEP / FDE FOR FRESHERS

Forward Deployed Engineer (FDE) course for freshers.
Start with curiosity. Learn to ship.

Get the detailed syllabus and talk through your starting point, weekly schedule and the work you want to build.

6–7 monthsLive practitioner learningEMI from ₹8,000/mo
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