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.

4.9 / 5 · 168 Google reviews — ABC Trainings 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.

TL;DR

  • 200 hours · 5 months full-time / 7 months evening · Hadapsar HQ + recordings
  • • Stack: Python, Pandas, scikit-learn, XGBoost, PyTorch, GenAI/LangChain, MLflow, AWS SageMaker
  • 5-min walk from Magarpatta SEZ — Persistent / KPIT / Capgemini / John Deere / IBM Hadapsar
  • • Capstone: end-to-end ML project deployed live with monitoring + drift detection
  • CMYKPY ₹10K/month stipend for fresh Pune graduates aged 18-35

10-Module Syllabus

  1. 1Python for data — NumPy, Pandas, broadcasting, vectorisation, IO from CSV/Parquet/SQL
  2. 2SQL deep-dive — joins, window functions, CTEs, query optimisation, ETL on PostgreSQL
  3. 3Statistics + probability — distributions, hypothesis testing, A/B test design, confidence intervals
  4. 4EDA + visualization — matplotlib, seaborn, Plotly Dash, Power BI / Tableau dashboards
  5. 5Classical ML with scikit-learn — regression, classification, clustering, feature engineering
  6. 6XGBoost / LightGBM + hyperparameter tuning + Optuna + cross-validation strategies
  7. 7Deep Learning with PyTorch — CNNs, RNNs/LSTMs, transformers basics, fine-tuning HuggingFace
  8. 8GenAI for engineers — LLM apps with LangChain, RAG, vector DBs (Pinecone/pgvector), embeddings
  9. 9MLOps essentials — MLflow, FastAPI for model serving, Docker, AWS SageMaker basics
  10. 10Capstone — end-to-end ML project deployed live with monitoring, drift detection, A/B testing

Hadapsar Data Science Recruiters

CompanyLocationRole
Persistent SystemsMagarpatta Cybercity (5-min walk)Data Scientist, ML Engineer, GenAI
KPIT TechnologiesHinjewadi + Magarpatta hybridAI/ML Engineer — Auto/Mobility
CapgeminiMagarpatta SEZData Engineer + Data Scientist
John Deere Tech Centre IndiaMagarpatta CybercityData Scientist — Agri/IoT
Tech MahindraSharda Centre + HadapsarSenior Data Analyst, ML Eng
IBM India (Hadapsar)Magarpatta SEZAI/ML Cloud Engineer, watsonx
AccentureTechMagarpatta SEZData Scientist, Power BI Lead
Bentley SystemsMagarpatta SEZData Engineer — Engineering Software

FAQs

How long is the Data Science course at Hadapsar?

5 months (200 hours) full-time or 7 months evening/weekend. Capstone deployed live.

What's the prereq?

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.

Visit Our Centers

Hadapsar (Pune HQ — this center)

1st Floor, Shree Tower, opp. Vaibhav Theater, Magarpatta, Hadapsar, Pune 411028

📞 Call 70391 69629

Wagholi (Pune)

1st Floor, Laxmi Datta Arcade, Pune-Ahilyanagar Highway

📞 Call 70391 69629

Cidco (Chh. Sambhajinagar)

Kalpana Plaza, opp. Eiffel Tower, N-1 Cidco

📞 Call 70391 69629

Osmanpura (Chh. Sambhajinagar)

S.S.C Board to Peer Bazar Road, near Jama Masjid

📞 Call 70391 69629

Sangli

Shubham Emphoria, 1st Floor, Above US Polo Assn., Vishrambag

📞 Call 70391 69629
💬 WhatsApp 7774002496

Career Path & Salaries

Data Science careers in Hadapsar — roles & pay

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.

One Program · Three Certificates

Choose your AI-Powered Data Science path

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.
Fees on request
Most Popular

Master Diploma

Master Diploma in AI-Powered Data Science

The AI & modeling core — classical ML, Deep Learning and GenAI.

5 courses 406 hrs 5–6 months
  • Python · 60 hrs
  • Data Science using Python · 150 hrs
  • Machine Learning · 96 hrs
  • Generative AI · 60 hrs
  • SQL · 40 hrs
Best for: Career-switchers targeting Machine Learning / AI Engineer & Data Scientist roles.
Fees on request
Flagship

PG Diploma

AI-Powered PG Diploma in Data Science

The complete data scientist — modeling, analytics and business-intelligence tooling.

7 courses 526 hrs 8–10 months
  • Python · 60 hrs
  • Data Science using Python · 150 hrs
  • Machine Learning · 96 hrs
  • Generative AI · 60 hrs
  • SQL · 40 hrs
  • Power BI · 60 hrs
  • Advanced Microsoft Excel · 60 hrs
Best for: Anyone who wants the full stack: AI modeling plus SQL, Power BI and Excel analytics.
Fees on request

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
  • Reference types, threading, GUI & database connectivity
  • A hands-on project to lock in the fundamentals
2

Data Science using Python

150 hrs

From raw data to insight — wrangling, statistics and classical ML.

  • NumPy & Pandas — arrays, DataFrames, groupby, merge, pivot, data wrangling
  • Exploratory Data Analysis (EDA) with real case studies
  • Data visualization — Matplotlib, Seaborn & interactive Plotly
  • Statistics & hypothesis testing — t-tests, chi-square, ANOVA, p-values, A/B testing
  • Data preprocessing & feature engineering
  • Supervised & unsupervised learning — Naïve Bayes, Random Forest, clustering
  • Forecasting — trend, seasonality, ARIMA
  • Dimensionality reduction + two end-to-end projects
3

Machine Learning

96 hrs

Classical ML through to Deep Learning with PyTorch.

  • ML workflow, algorithm families, regression, classification & clustering
  • Ensemble methods — XGBoost, LightGBM, AdaBoost, Gradient Boosting
  • Model evaluation — precision/recall/F1, ROC-AUC, confusion matrix, cross-validation
  • Hyperparameter tuning — GridSearch, RandomSearch, scikit-learn pipelines
  • Deep Learning foundations — neural networks, activation, forward & backpropagation
  • CNNs & RNNs — convolution, pooling, transfer learning, LSTM/GRU
  • PyTorch — tensors, autograd, build & train a neural network
4

Generative AI

60 hrs

LLMs, RAG and AI Agents — build and ship real AI systems.

  • LLMs — tokens, embeddings, pre-training, RLHF
  • Prompt engineering & advanced prompting
  • Transformers & attention + modern NLP (BERT/GPT, Hugging Face)
  • Retrieval-Augmented Generation (RAG) — vector DBs (Chroma/FAISS/Pinecone), LangChain & LlamaIndex
  • AI Agents — ReAct, tool use, MCP (Model Context Protocol), CrewAI / AutoGen / LangGraph
  • Fine-tuning — LoRA/QLoRA, PEFT, quantization, Ollama
  • LLM & RAG evaluation — LLM-as-judge, RAGAS, prompt-injection safety
  • Deployment & MLOps — FastAPI, Streamlit / Gradio, MLflow
5

SQL

40 hrs

Query, model and optimise data at the source.

  • MySQL & PostgreSQL — tables, views, keys
  • SELECT, JOINs, GROUP BY, window functions
  • Subqueries, CTEs & query optimisation
  • Aggregation functions, conditions, clauses & triggers
6

Power BI

60 hrs

Turn models into dashboards leaders actually use.

  • Power Query — data prep & transformation
  • Data modelling, relationships & DAX
  • Charts, advanced visuals & interactive reports
  • Power BI Service + Power BI with SQL & Excel
  • Real-world case studies & capstone dashboards
7

Advanced Microsoft Excel

60 hrs

The analyst toolkit — from Pivot Tables to Solver & macros.

  • Formulas, conditional formatting & data cleaning
  • Pivot Tables & Charts
  • Lookups — VLOOKUP, HLOOKUP, XLOOKUP
  • Text, statistical & financial functions
  • What-If Analysis, Solver & macros

What You'll Master

Skills that get you hired

Data ScienceData AnalyticsBusiness IntelligenceMachine LearningDeep LearningGenerative AILLMsPrompt EngineeringRAGAI AgentsMCPNLPTransformersNeural NetworksPredictive AnalyticsForecastingMLOpsFine-Tuning (LoRA/QLoRA)PythonSQLPower BIAdvanced Excel

Careers This Unlocks

Become a job-ready data & AI professional

Data ScientistMachine Learning EngineerAI EngineerData AnalystBusiness Intelligence AnalystData EngineerNLP EngineerAnalytics Consultant
95% placement support ISO 9001:2015 certified Mentor-led, project backed

Get the exact fee, EMI options and next batch date for your profile — a free, no-obligation counselling call.

Ready to Start?

Free 1:1 30-min counselling. CMYKPY eligibility check on the spot.