Data Science Classes in Hadapsar 2026 — Python + ML + Deep Learning + GenAI
Python, Pandas, scikit-learn, PyTorch, GenAI/LangChain. 5-min walk from Magarpatta SEZ. Direct placement intros to Persistent, KPIT, Capgemini, John Deere, IBM Hadapsar.
Data Science at ABC Trainings Hadapsar is a 200-hour project-driven program covering Python, Pandas, SQL, statistics, classical ML (scikit-learn, XGBoost), Deep Learning (PyTorch, transformers), GenAI applications (LangChain, RAG, vector DBs), and MLOps fundamentals. The program runs at our Hadapsar HQ on Pune-Solapur Road — 5-minute walk from Magarpatta SEZ — with weekday evening (7 PM – 9 PM) and weekend batches built for Persistent, KPIT, Capgemini, John Deere, and IBM Hadapsar professionals upskilling into AI/ML roles.
Any graduate. We start from Python basics. Engineering, BCA, BSc, BCom, MBA — all fine. Working professionals can join the evening track without quitting their job.
Do I need to be good at math?
12th-standard math is enough. We teach probability + linear algebra + statistics from scratch in Module 3 — no prior advanced math required.
Will I get placed at Persistent / Capgemini Magarpatta?
Direct talent acquisition contacts at all major Hadapsar firms. Placement assistance includes Kaggle competitions, mock interviews, GitHub portfolio, and warm intros from our placement team.
GenAI / LLM coverage in 2026 syllabus?
Yes — Module 8 covers LangChain, RAG (vector DBs), LLM fine-tuning, and prompt engineering. We update this module quarterly to keep pace with the GenAI roadmap at Persistent and IBM Hadapsar.
Data & AI is one of India's highest-paying, fastest-growing fields. Here is the ladder our program prepares you for.
Data Analyst / BI Analyst
Entry
Cleans and analyses data, writes SQL, builds Power BI dashboards and reports insights to the business.
3.5–7 LPA
Data Scientist
Mid
Builds and validates ML models, runs experiments, turns business problems into predictive solutions.
6–14 LPA
Machine Learning / AI Engineer
Mid–Senior
Trains deep-learning & LLM systems, builds RAG / agent pipelines, deploys models to production (MLOps).
8–20 LPA
Lead Data Scientist / ML Architect
Senior
Owns the data-science roadmap, mentors the team, designs scalable AI architecture and strategy.
18–35 LPA+
Indicative India market ranges (2026) — actual pay varies by city, employer, skills and portfolio. Not a salary or placement guarantee.
Why learn Data Science at ABC Trainings
Govt-recognised & certified
ISO 9001:2015 certified, MSME registered and a Skill India / NSDC partner — your certificate is accepted across our hiring-partner network.
11+ centers across Maharashtra
Learn offline at a centre near you, live online, or hybrid — weekday, evening and weekend / fast-track batches.
95% placement support
Dedicated placement cell, resume + GitHub portfolio coaching, mock interviews and direct referrals. 20,000+ alumni trained since 2012.
Real, project-led training
Mentor-led, hands-on classes; you ship an end-to-end ML/AI capstone deployed live — a portfolio recruiters can open in one click.
Free Career Handbook
Get the free Data Science & AI Demystified handbook
24 pages, no jargon — the full data lifecycle, the 2026 roles & salaries, who is hiring across Maharashtra, and the exact roadmap from beginner to job-ready. Read it free on our site.
Master Data Science, Machine Learning, Deep Learning, Generative AI, LLMs & AI Agents — and learn to build and deploy real AI systems. Start where you are — step up from a focused Diploma to the Master Diploma AI core, or go all the way with the flagship AI-Powered PG Diploma.
Diploma
Diploma in AI-Powered Data Science
The fast on-ramp — Python, data science and Generative AI.
3 courses 270 hrs 3–4 months
Python · 60 hrs
Data Science using Python · 150 hrs
Generative AI · 60 hrs
Best for: Students and freshers who want a quick, job-relevant entry into data and AI.
Every tier includes placement support, an ISO 9001:2015 institute certificate, and flexible weekday / weekend / fast-track batches. Fees on request — talk to a counsellor, free and no obligation.
Inside the Curriculum
7 courses · 526 hours, end to end
From Python foundations to Generative AI, agents and deployment — every course is hands-on and project-backed.
1
Python
60 hrs
The programming foundation every data scientist needs.
Core syntax, control flow, functions, modules & packages
Data structures, file I/O, errors & exceptions, OOP