You want to break into AI and Machine Learning — but every time you look up a course, you're staring at a ₹10,000+ price tag and wondering if it's genuinely worth it. The frustrating part? The syllabus across half these platforms is near-identical, and most don't even tell you what version of Python or which frameworks they actually use until after you've paid.
GeeksForGeeks has quietly become one of India's most trusted technical learning platforms, with an AI & ML catalogue that goes deep — from foundational Statistics and Python all the way up to Generative AI, MLOps, and production-grade model deployment. This June 2026 sale cuts every AI/ML course price in half when you apply coupon ZOUTONS50 at checkout, making it genuinely the best window of the year to enrol. Savings on courses priced ₹8,999 and above cross the ₹4,000 mark easily.
We've gone through their full AI/ML catalogue and picked the 13 courses that deliver the most value — whether you're a complete beginner building your first model or a working professional upgrading to modern LLM and MLOps skills. All prices below reflect the final cost after applying the coupon.
"The most complete ML course on GFG — covers scikit-learn, model evaluation, and real-world project pipelines that most courses skip."
This is the flagship ML course from GeeksForGeeks, designed for anyone who wants a thorough grounding in supervised and unsupervised learning using Python and scikit-learn. It covers regression, classification, clustering, dimensionality reduction, and model selection — with hands-on assignments throughout. Instructors explain the maths without making it a barrier, which makes it accessible whether you're from an engineering or non-engineering background.
"Covers the full data science lifecycle — data wrangling, EDA, visualisation, and model building — in one structured track."
A comprehensive data science course that takes you from raw CSV files all the way through to building and evaluating predictive models. The course spends meaningful time on exploratory data analysis and Pandas, which is where most beginners actually struggle. It's one of the few courses that treats data cleaning as a first-class topic rather than an afterthought, making it excellent for those targeting analyst or data scientist roles.
"Goes beyond toy examples — the CNN and RNN modules use real image and sequence datasets from day one."
This deep learning course builds up from perceptrons and backpropagation through to convolutional networks, recurrent networks, and attention mechanisms. The TensorFlow and Keras implementations are well-explained without hiding the underlying maths, and the course includes dedicated modules on regularisation, batch normalisation, and transfer learning — topics that are crucial for real projects but often glossed over in shorter courses.
"One of the few Indian courses that actually covers BERT fine-tuning and Hugging Face Pipelines rather than just bag-of-words approaches."
This NLP course starts with classical text processing and progresses all the way to modern transformer architectures and large language models. You'll work with Hugging Face, fine-tune BERT for classification and NER tasks, and build question-answering pipelines. It's the course that bridges the gap between "I know Python" and "I can build an actual NLP product" — a gap that feels enormous until you work through it systematically.
"Solid PyTorch-first curriculum — image classification, object detection, and segmentation all covered with real datasets."
Computer vision is one of the highest-demand AI skills in India right now, with applications in manufacturing quality control, healthcare imaging, and retail analytics. This GFG course builds from OpenCV fundamentals through PyTorch-based CNNs, object detection with YOLO, and semantic segmentation. The capstone project involves building and deploying a real-time image classifier — which is a genuine differentiator on a portfolio.
"The right starting point if you know programming basics but have never used Python for data — gets you productive fast."
If you're an engineer or developer who hasn't yet worked with Python's data stack, this is the most efficient path in. The course focuses entirely on the libraries that matter for AI and ML: NumPy for numerical computing, Pandas for data manipulation, Matplotlib and Seaborn for visualisation, and just enough scikit-learn to connect to the next-level courses. At ₹3,999 after the coupon, it's the lowest-stakes entry point in this list.
"The course that finally makes probability distributions and hypothesis testing click — without demanding a maths degree first."
A huge proportion of self-taught ML practitioners hit a wall when they try to understand why their models behave the way they do — and the answer is almost always a gap in statistics. This GFG course covers descriptive statistics, probability distributions, Bayesian thinking, hypothesis testing, and confidence intervals in the context of machine learning. It's taught with Python code throughout, so the abstract maths always stays grounded in something tangible.
"This is what separates 70% accuracy models from 90% — and almost no beginner course teaches it properly."
Feature engineering is the dark art of ML that competition winners and senior engineers quietly rely on — and it's almost never covered well in beginner courses. This GFG module tackles encoding strategies, handling missing data, creating interaction features, dealing with class imbalance, and hyperparameter tuning with Optuna and GridSearchCV. If you already know the basics and your models have plateaued, this is the most impactful course in this entire list.
"Covers LangChain, RAG pipelines, and vector databases — the exact stack being used in production AI apps right now."
Generative AI is the most in-demand skill of 2026, and this GFG course goes well beyond surface-level ChatGPT usage. You'll learn to build RAG (Retrieval-Augmented Generation) systems using LangChain and vector databases like Chroma and FAISS, fine-tune open-source LLMs, and apply advanced prompt engineering techniques including chain-of-thought and few-shot prompting. The course is built around practical application, not theory — ideal for engineers who want to build AI-powered products.
"The go-to course for finance, e-commerce, and supply chain ML roles — demand forecasting skills that employers specifically ask for."
Time series forecasting is a specialist domain that's enormously valuable in finance, retail, and logistics — and it requires a different mindset than standard ML. This course covers ARIMA, SARIMA, and exponential smoothing for classical forecasting, then moves into modern ML approaches using XGBoost and LSTMs for sequence modelling. Real datasets from stock prices, sales, and energy consumption are used throughout, giving you work that's immediately portfolio-ready.
"One of the very few RL courses in India that actually implements Q-learning and Policy Gradient from scratch — not just theory slides."
Reinforcement Learning is the engine behind robotics, game-playing AI, and autonomous systems — and this GFG course is one of the few in India that covers it seriously. Starting from Markov Decision Processes and Q-Learning, it progresses through Deep Q-Networks (DQN) and Policy Gradient methods including PPO and A3C. OpenAI Gym environments are used throughout, so you're always training agents against real tasks rather than simulated examples.
"Covers the actual day-to-day work of a data analyst role — SQL queries, pivot tables in Pandas, and business-ready dashboards."
Not everyone wants to build deep learning models — data analyst roles are plentiful, well-paid, and increasingly sought after across Indian startups and MNCs. This GFG course covers SQL from fundamentals through advanced window functions, Pandas for business data analysis, and data visualisation with tools like Power BI and Tableau. It's structured specifically around the tasks that appear in data analyst interviews and day-to-day work, making it one of the most job-relevant courses in this list.
"Teaches you to take a trained model and actually ship it — Docker, FastAPI, CI/CD for ML, and monitoring in production."
Building a model that scores 95% in a notebook is very different from running one reliably at scale. This GFG MLOps course covers the full deployment lifecycle: containerising models with Docker, serving predictions via FastAPI and Flask, setting up CI/CD pipelines with GitHub Actions, tracking experiments with MLflow, and monitoring data drift in production. In a market where ML Engineer roles command 40–60% salary premiums over data analyst roles, this course justifies its price on job-market impact alone.
| Course | Sale Price | MRP | Best For |
|---|---|---|---|
| Machine Learning with Python | ₹4,999 | ₹9,999 | Core ML skills, first ML role |
| Data Science with Python | ₹4,499 | ₹8,999 | Data analysis, EDA, analyst roles |
| Deep Learning & Neural Networks | ₹5,499 | ₹10,999 | Deep learning engineer track |
| NLP with Transformers & LLMs | ₹5,999 | ₹11,999 | NLP engineer, chatbot developer |
| Computer Vision with PyTorch | ₹5,499 | ₹10,999 | Vision AI, autonomous systems |
| Python for AI & Data Science | ₹3,999 | ₹7,999 | Complete beginner entry point |
| Statistics & Probability for ML | ₹3,499 | ₹6,999 | Filling maths gaps in ML knowledge |
| Feature Engineering & Optimization | ₹4,999 | ₹9,999 | Improving model performance |
| Generative AI & Prompt Engineering | ₹5,999 | ₹11,999 | LLM apps, RAG, AI product dev |
| Time Series Analysis & Forecasting | ₹4,499 | ₹8,999 | Finance, e-commerce, supply chain ML |
| Reinforcement Learning | ₹5,999 | ₹11,999 | Robotics, game AI, autonomous systems |
| Data Analytics with SQL & Python | ₹3,999 | ₹7,999 | Analyst roles, business intelligence |
| MLOps & Model Deployment | ₹5,499 | ₹10,999 | ML engineering, production AI |
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