From Python, Statistics & EDA to Advanced Machine Learning, Deep Learning, Computer Vision, NLP & Enterprise Generative AI.
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Over 2,300+ CJC Graduates are working as Data Scientists, Machine Learning Engineers, AI Specialists & Quantitative Analysts across Pune, Bengaluru, Hyderabad & Mumbai.
Watch how freshers and career switchers built production ML models, GenAI agents, and cracked 6.5 LPA to 16.5 LPA packages.
Data Science and Artificial Intelligence offer the highest starting CTCs, rapid career progression, and massive demand across Analytics, ML, and Generative AI.
BE, BTech, BCA, MCA, B.Sc (Maths, Stats, CS, Any Branch) aiming for high-paying Data Scientist, ML Engineer, and AI Specialist roles.
Graduates from Mechanical, Civil, Commerce, or Finance looking for a high-value transition into data analytics and predictive modeling.
Data analysts, software developers, and QA professionals looking to upskill into Machine Learning, Neural Networks, and Generative AI.
Candidates with 1 to 5+ years of career gaps. Our intensive Kaggle problem-solving and mock interviews prepare you to crack top MNC rounds.
Train, tune, evaluate, and deploy high-performance machine learning models and computer vision systems.
Engineered an end-to-end predictive pipeline analyzing 500,000+ consumer records. Performed advanced feature engineering, automated SMOTE imbalance handling, trained XGBoost & CatBoost models, and deployed a low-latency scoring API using FastAPI.
Architected a production RAG (Retrieval-Augmented Generation) application with LangChain, OpenAI embeddings, and ChromaDB vector search to parse quarterly 10-K financial reports with source citation tracking.
Developed a convolutional neural network with ResNet-50 transfer learning for pneumonia and anomaly detection in medical imaging, achieving 96.8% precision with Grad-CAM visual explainability.
Master foundational statistics, machine learning algorithms, deep learning neural nets, and Generative AI with hands-on GPU labs and 100% placement support.
Direct on-campus placement drives with 300+ hiring partners until you crack your dream Data Scientist or ML Engineer offer.
No toy datasets. You work on multi-gigabyte production data, dealing with real-world missing values, outliers, imbalanced classes, and multi-collinearity.
Dedicated access to NVIDIA GPU accelerated environments for training complex deep neural networks, CNNs, and fine-tuning Transformer models.
Master OpenAI API integrations, prompt engineering, RAG architecture, and vector embeddings (Chroma/Pinecone) to build autonomous AI agents.
Learn how to serialize trained models with joblib/pickle, wrap them into low-latency FastAPI endpoints, containerize with Docker, and monitor with MLflow.
Direct technical guidance and coding standard reviews by Mr. Kunal Sonu and veteran Data Scientists currently deploying enterprise AI in top MNCs.
Real classrooms. Live mentorship. Practical learning.
Learn industry-relevant skills step by step with hands-on projects, real-world case studies and expert-led mentorship.
You will master Python 3.12 fundamentals, vectorized computation with NumPy arrays, high-performance tabular data manipulation with Pandas, and exploratory data analysis (EDA).
You will understand the core mathematical underpinnings of machine learning: descriptive/inferential statistics, probability distributions, hypothesis testing (A/B testing), and linear algebra.
You will build, train, validate, and tune supervised and unsupervised ML models using Scikit-Learn with robust cross-validation.
You will master industry state-of-the-art tabular algorithms including Random Forest, AdaBoost, XGBoost, LightGBM, and automated hyperparameter tuning with Optuna.
You will architect multi-layer perceptrons, forward/backward propagation, convolutional neural networks (CNNs), and transfer learning with ResNet-50 in PyTorch.
You will clean and tokenize text, compute word embeddings, train sentiment classifiers, and utilize Hugging Face Transformer pipelines for NLP tasks.
You will build enterprise Generative AI applications with LangChain, ChromaDB vector databases, and deploy production ML models with FastAPI & Docker.
Includes day-by-day lecture breakdowns, lab exercises, Kaggle datasets, and capstone project architectures.
Join our classroom batches at Karvenagar or Akurdi, or attend live interactive online sessions.
Ideal for college students and working professionals aiming to quickly learn Python, ML algorithms, and practical data analysis.
Our flagship 85k program with unlimited interview calls, rigorous daily mock interviews, GPU labs, and dedicated placement support.
Designed for developers, testers, and analysts seeking career transition into AI/ML roles without quitting their current jobs.
Everything you need to know about CJC's Data Science, Machine Learning & Generative AI Master Program.
Get clear answers about Data Science curriculum, GPU labs, placements and fees.
No prior coding experience is required! We start from absolute Python fundamentals and gradually build applied statistics and machine learning concepts:
CJC provides 100% placement assistance with unlimited campus interview drives until you are placed. Freshers typically secure packages between 6.5 LPA to 8.5 LPA, while professionals with prior IT experience transition at 10 LPA to 16.5+ LPA across 300+ hiring MNCs and startups.
Yes! Our curriculum is updated for Industry 5.0 and includes complete hands-on modules on Generative AI, Large Language Models (LLMs), LangChain, Vector Databases (Chroma/Pinecone), and Retrieval-Augmented Generation (RAG) to ensure you are job-ready for modern AI engineering roles.
You will build 8+ enterprise capstone projects including an enterprise financial churn predictor, an autonomous RAG financial document Q&A system, a medical diagnostic vision classifier with PyTorch, and a real-time sentiment analysis engine deployed on AWS with Docker & FastAPI.
Our campuses in Karvenagar and Akurdi provide high-speed dedicated computer labs with access to cloud GPU acceleration. Students work daily from 9:00 AM to 7:00 PM on live coding tasks with 1-on-1 technical mentor guidance for error debugging and code optimization.
We conduct weekly technical mock interviews covering ML algorithm derivations, Python coding challenges, SQL queries, system design for ML pipelines, and behavioral HR rounds, backed by AI ATS resume optimization.