Python
SQL
Pandas
scikit-learn
PyTorch
TensorFlow
Power BI
Tableau
Hugging Face
LangChain
LangGraph
CrewAI
MCP
OpenAI
FastAPI
Docker
Kubernetes
AWS
Git
Airflow
StreamlitStrong foundations
Data, coding and engineering fundamentals that hold up beyond a demo. Learn to understand the problem, choose the right approach and explain your decisions.
For people who want to ship AI, not just certify in it
From first principles to AI systems people can use.
We teach data, AI and client-facing delivery through live practitioner instruction and work you actually ship — queried, evaluated, deployed and defended, not just watched.
Live practitioner-led
Eval-gated capstones
Recordings in 24 hours
Learning architectureFive stages.
Five stages.
Each one assumes the last.
This is the order the work actually happens in, and the order it is taught in. You can enter the ladder anywhere — what changes is where you start, not the sequence.
SELECT A STAGE TO EXPLORE
STAGE 01 / Model it
Give everything a foundation.
Excel, SQL, Power BI and Python — the full analyst stack, through to Python pipelines. Every layer above this one inherits whatever you did to the data here.
- Excel
- SQL
- Power BI
- Python
One connected pathway. Your starting point is personal. Find your programme
Our instructors have built and taught at
Goldman Sachs–backedNuvo AIMeril Group
Microsoft AzureML Scholar
ScalerTrainer
Trainer
Trainer
Operating companyThe stack you will actually ship with
Python
SQL
Pandas
scikit-learn
PyTorch
TensorFlow
Power BI
Tableau
Hugging Face
LangChain
LangGraph
CrewAI
MCP
OpenAI
FastAPI
Docker
Kubernetes
AWS
Azure
Git
Airflow
Streamlit
What we do differently
What you can check before you pay us anything
Every claim below is verifiable somewhere else on this site. If we cannot point at it, we do not print it.
01
20 seats, not 300
Your instructor knows your work, reviews it personally, and notices when you go quiet. In a room of 300, nobody does.
02
Sessions you talk in, not watch
Every class is live. Ask questions as they come, get your code reviewed in the session, defend your reasoning out loud. Recordings are for revision, not the product.
03
Taught by people who still do the job
Both instructors hold senior data science roles alongside teaching. You learn how the work is done now, not how it was done three years ago.
04
Evidence, kept apart from marketing
Every market figure on this site carries its source and is labelled as context. An industry statistic is not a promise about you, and we never print it as one.
05
A pathway for your experience
FDE for Freshers builds the foundations over 6–7 months. FDE for Professionals offers a proposed 16-week advanced path for people with engineering and AI fundamentals.
06
The consulting layer, not just the model
Most curricula stop when the model works. Ours continues into client discovery, scoping, integration and the executive demo, the part that gets your work into production.
WHY NEURAPATH
Built to take AI into production.
Four things that connect what you learn to the work you want to do.
Production AI & agents
Go from model calls to working systems. Build retrieval, tools and agent workflows with evaluations, integrations and the discipline to deploy them.
Client-facing delivery
Learn the work around the code: discovery, scoping, stakeholder communication and handover. Turn a messy business need into something a client can actually use.
A path that fits you
Start with the foundations as a fresher, or build on your IT experience through the accelerated professional pathway. Add focused GenAI and agent skills in three months.
Four core programmes. One focused skills add-on.
Who teaches you
Trainers from tier-1 companies
Both instructors hold senior data-science roles today. Neither of them left the industry to teach full time — which is why the examples come off real client work rather than out of a slide deck.
Pankit KumarLEAD
Sr. Data Scientist · Parexel
One of the world's largest clinical research organisations, backed by Goldman Sachs. Production data science under regulatory audit — the job he still does the same week he teaches it.
10 years in Data Science & AITrains at BIA · AnalytixLabs · Scaler
Ishaan Sharma
Senior Data Scientist · Nuvo AI (Meril Group)
Production AI inside a major medical-device manufacturer — NLP, computer vision and GenAI shipped into regulated products. Leads the agentic-AI and MCP modules.
~10 years in NLP / CV / GenAIMicrosoft Azure ML Scholar
Most people don't struggle because the maths is hard. They struggle because nobody ever showed them what this work looks like on a real client's messy data — so that is what I teach.
In their words
What learners say
4.7 average from 6 reviews
5.0
“NeuraPath has given me a much clearer understanding of where I want to take my career in AI. The sessions are practical, and the mentorship makes it easier to understand not just what to learn, but how to apply it in real projects.”
4.0
“What I liked most about NeuraPath is the focus on practical learning. Pankit Sir explains complex concepts in a simple way and connects them with real industry use cases. His guidance has made me much more confident about building a career in AI.”
5.0
“The mentorship of the instructor feels very different from just watching recorded courses. Pankit Sir gives proper direction, clears doubts patiently, and helps us understand what companies actually expect from AI professionals. It has given me a much more structured learning path.”
4.0
“I joined NeuraPath because I wanted to move beyond basic Data Science and understand modern AI technologies. The combination of live teaching, real-world projects, and industry-focused mentorship has made the learning experience much more meaningful.”
5.0
“I had tried learning AI on my own, but the curriculum here actually bridges the gap between theory and what companies are hiring for. The live sessions with Pankit Sir were a game-changer for me — he doesn't just teach the syntax, he shows you exactly how to think like a Forward Deployed Engineer.”
5.0
“The best part about this academy is that it doesn't feel transactional like other bootcamps. You get genuine 1:1 mentorship, and the focus is entirely on making you job-ready. Working on real-world AI pipelines instead of just basic datasets gave me the exact portfolio I needed to stand out.”
WHO IT'S FOR / YOUR NEXT CHAPTER
Different starting points.
Something real to build.
Your background is the starting point. Choose where you are today to explore what you could learn, build and take forward.
01 / CHOOSE YOUR STARTING POINTExplore your possibilities
YOUR NEXT MOVE
Your first real project starts here.
You do not need a coding background to begin. Choose the work that excites you: finding answers in data or building software that solves a client's problem.
- 1Learn the foundations
- 2Build with guidance
- 3Explain your own work
START WITH THE RIGHT DEPTH
Both routes start with the fundamentals. Choose the kind of work you want to practise.
02 / EXPLORE A ROUTE THAT FITS
CORE PROGRAMME3–4 months
I want to work with data
Data Analytics with Generative AI
Start with Excel, SQL and Power BI, then build your Python and analysis skills.
WHAT YOU COULD BUILD
Explore Data Analytics with Generative AIBI dashboards, SQL case studies and an automated report.
CORE PROGRAMME6–7 months
I want to build & deliver
FDE for Freshers
Start with Python and software engineering, then move into APIs, cloud, AI and client delivery.
WHAT YOU COULD BUILD
Explore FDE for FreshersA deployed service and a complete client-simulation capstone.
YOUR NEXT MOVE
Make Data Science your next chapter.
Turn your domain knowledge into questions a model can help answer. Build from the analyst core into machine learning, deep learning and a deployed application you can demonstrate.
- 1Bring a domain problem
- 2Add the technical depth
- 3Build a portfolio case
START WITH THE RIGHT DEPTH
Discuss your Python, SQL and statistics readiness for Data Science. Data Analytics with Generative AI is the alternative if you need more time with the foundations.
02 / EXPLORE A ROUTE THAT FITS
CORE PROGRAMME6 months
Move from analysis into ML
Data Science
Build on the analyst core with machine learning, deep learning, NLP and model deployment.
WHAT YOU COULD BUILD
Explore Data SciencePrediction models and a deployed ML application with an API.
CORE PROGRAMME3–4 months
Build my data foundations
Data Analytics with Generative AI
A foundation-first path for moving from spreadsheets or a non-technical role into analytics.
WHAT YOU COULD BUILD
Explore Data Analytics with Generative AIAn end-to-end analysis, dashboards and Python data pipelines.
YOUR NEXT MOVE
Bring your experience. Own the next delivery.
Keep the depth you have in software, cloud, data or technical delivery. Choose an advanced client-delivery pathway or a focused addition to your AI toolkit.
- 1Build on your strengths
- 2Engineer useful AI
- 3Evaluate & deliver
START WITH THE RIGHT DEPTH
Advanced FDE entry is based on demonstrated coding, service-delivery and AI skills. A readiness conversation identifies any preparation you need.
02 / EXPLORE A ROUTE THAT FITS
CORE PROGRAMME16 weeks (proposed)
Own enterprise AI delivery
FDE for Professionals
An accelerated pathway across AI engineering, client judgement, integration and operational handover.
WHAT YOU COULD BUILD
Explore FDE for ProfessionalsAn advanced client simulation with evaluation and handover evidence.
SKILLS ADD-ON3 months
Add GenAI & agent skills
Generative & Agentic AI
A focused skills add-on covering prompting, retrieval, tool use, orchestration and evaluation.
WHAT YOU COULD BUILD
Explore Generative & Agentic AIA RAG system, MCP tools and a deployed agent workflow.
A little direction goes a long way.Explore your strengths with the free skill check, or talk through your options.
FIND YOUR STARTING POINT
Four core programmes.
One focused skills add-on.
Build a foundation, deepen your expertise, or accelerate into client-facing AI delivery. Choose the path that fits your experience.
Data Analytics with Generative AI
The full analyst stack — Excel, SQL, Power BI and Python pipelines — then a generative-AI layer you can prove is right.
3–4 monthsLive practitioner instruction
Data Science
From data foundations to machine learning, deep learning and deployment.
6 monthsLive practitioner instruction
FDE for Freshers
Build your engineering foundations, then take AI from discovery to delivery.
6–7 monthsStart from the foundations
FDE for Professionals
An accelerated advanced pathway for IT professionals ready to own enterprise AI delivery.
16 weeks (proposed)Skills-based entry
Generative & Agentic AI
Add practical GenAI, retrieval and agent-building skills to your existing toolkit.
3 monthsExtend your existing skills
THE NEXT WAVE OF AI CAREERS
FDE Market
Growth.
~800%
Reported growth in FDE demand in India
First nine months of 2025
Companies need engineers who can turn AI into working business solutions. Forward Deployed Engineers help close that gap.
~9×Starting demand
9 monthsReported window
FDE DEMAND · INDIA
A small base. A big shift.
After nine monthsAbout 9× the starting demand~900index
Hover or tap a point · Line connects reported endpoints
TeamLease Digital data · Business Standard, June 2026 (opens in a new tab)
100 → ~900 represents the reported ~800% increase from a small base. The line is an endpoint comparison, not a monthly trend or job count. Market context, not a placement guarantee.
Why NeuraPath
What actually makes this different
01
All-Inclusive Fees
Every fee is inclusive of GST and all charges — nothing extra at checkout. 0% EMI up to 9 months.
02
The Consulting Layer Nobody Teaches
Most AI courses stop at the model. We keep going — client discovery, scoping, SoW writing, enterprise integration and the executive demo. The part that decides whether your work actually ships.
03
Eval-Gated Capstones
Projects ship with evaluation reports, red-team reviews and demo-day defenses — production discipline, not demo-ware.
04
Small Cohorts, 1:1 Mentorship
Max 30 seats per batch with practitioner mentors and weekly doubt clinics.
05
Domain Electives
Healthcare/Pharma, BFSI and Retail specializations built on real industry use cases.
06
Interviews, Referrals and an Internship
An 8-week readiness programme — portfolio, mock interviews and FDE-style case rounds — then job interviews arranged through our hiring partners, direct referrals into companies we work with, and a post-course internship on real problems. Final hiring is decided by your interview, not by us.
The ladder
One ladder, five steps
Enter anywhere. Upgrade anytime by paying only the difference.
Compare four core programmes and a three-month AI skills add-on to find your starting point.
THE NEURAPATH EXPERIENCE
Your learning,
made tangible.
Learn live, get useful feedback, and build work you can open, explain and improve.
HOW YOU MAKE PROGRESS
Learn with practitioners
Ask questions and work through concepts together in live sessions.
Build something useful
Put each module into practice through assignments and case studies.
Get feedback. Improve it.
Understand what to fix and why, with written reviews of your work.
Present your work
Demo your capstone and explain the decisions behind what you built.
Illustrative project6 months
Build a model. Explain the decision.
Explore why customers leave, compare prediction models, and turn your analysis into an application someone can try.
Customer data
Churn model
Prediction app
WORK YOU CAN SHOW
- Data exploration & preparation
- Model evaluation report
- Deployed ML API & interface
What useful feedback looks like
EXAMPLE FEEDBACK
A good score is a starting point. Explain the cost of missing a customer who might leave, and how that changes the threshold you choose.
Examples illustrate the curriculum; they are not completed student projects. Your brief and assessment depend on your programme.
30 learners max
A small cohort, with space for your questions.
24h to revisit a class
Recordings and transcripts. Access for 12 months.
Live around your week
Evening and weekend sessions. Timetables vary by cohort.
And when it’s time to interview?
Our 8-week readiness programme covers your portfolio, resume, mock interviews and FDE-style case rounds.
Assured job interviews through our hiring network and a post-course internship are for eligible learners meeting attendance and capstone criteria. Final hiring is the employer’s decision. Confirm programme-specific terms with your counsellor.
Showing an illustrative project for Data Science.
Instructors
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. Microsoft Azure ML Scholar. Works on production AI systems in medical devices and healthcare, and leads the agentic-AI and MCP modules.
GenAINLP / CVAgents & MCPLLMOps
Founding cohorts
September 2026 intake
Be part of the first batches: the smallest cohorts we will ever run, direct access to Pankit Kumar and the founding instructor team, and founding-member pricing locked for every future upgrade.
Frequently asked questions
Data Analytics with Generative AI and FDE for Freshers build the foundations — both teach Python from scratch. The three-month GenAI & Agentic AI add-on includes a Python bridge. FDE for Professionals requires demonstrated engineering and AI fundamentals.
Resources
Guides worth reading
Straight answers on AI careers, from our instructors.
Forward Deployed EngineerAI Careers
What Is a Forward Deployed Engineer? Responsibilities, Skills and ExamplesWhat FDE work looks like, how responsibilities vary, and a practical way to inspect the engineering behind customer delivery.
4 min read
Forward Deployed EngineerData Science
Forward Deployed Engineer vs Data Scientist: Compare the Work and Choose Your RouteCompare the decisions you would own, the evidence you would produce and the work you want to practise, without relying on salary stereotypes.
4 min read
Data ScienceCourse Fees
Data Science Course Fees in India (2026): What You Should Actually PayCourse prices range from a few thousand to several lakh — and the number on the ad is often not the number you pay. Here's how to read data science course fees honestly.
6 min read
Counselling
Not sure where to start?
Book a free counselling call. We will map your background to the right entry point — and tell you honestly if a cheaper course is the better fit.
- Free career-path mapping session
- Syllabus on WhatsApp or email — no chasing calls
- Challenge-test link if you want FDE direct entry
Counselling is free · no obligation
Not sure which programme fits?
Tell us your background and we will map it to the right entry point — including saying so when a cheaper programme is the better fit. A counsellor replies within one working day.