Free learning library
1,557 free resources across 53 topics from 215 trusted providers. Videos and open documents play right here.
From your first line of Python to building with large language models: the core path into AI and data careers.
Python & Foundations
Programming in Python and the computer-science basics every AI course assumes.
21 resources · 17 Beginner · 4 Advanced
Math & Statistics
The linear algebra, calculus, probability and statistics behind machine learning, explained visually.
40 resources · 19 Beginner · 19 Advanced · 2 Expert
Data Analysis
Cleaning, exploring and visualising data with spreadsheets, SQL, pandas and dashboards.
16 resources · 13 Beginner · 3 Advanced
Data Science
Turning data into answers: the end-to-end workflow from question to model to story.
7 resources · 3 Beginner · 3 Advanced · 1 Expert
Machine Learning
How machines learn from data: regression, trees, clustering, evaluation and the classic algorithms.
62 resources · 49 Beginner · 8 Advanced · 5 Expert
Deep Learning
Neural networks from the ground up, through CNNs, RNNs and transformers.
156 resources · 6 Beginner · 26 Advanced · 124 Expert
NLP
Teaching computers to read and write: text processing, embeddings and language models.
26 resources · 4 Beginner · 18 Advanced · 4 Expert
Computer Vision
Image classification, detection and segmentation: how machines see.
8 resources · 2 Beginner · 3 Advanced · 3 Expert
Generative AI & LLMs
Large language models, prompting, retrieval (RAG), fine-tuning and image generation.
417 resources · 24 Beginner · 381 Advanced · 12 Expert
AI Agents
LLM-powered agents that plan, use tools and work through multi-step tasks.
9 resources · 1 Beginner · 6 Advanced · 2 Expert
MLOps & Cloud
Shipping models: deployment, monitoring, pipelines and AI on the major clouds.
6 resources · 2 Beginner · 3 Advanced · 1 Expert
Data Engineering
Building the pipelines, warehouses and lakehouses that feed analytics and AI.
11 resources · 1 Beginner · 9 Advanced · 1 Expert
Responsible AI
Fairness, safety, privacy and the law: building AI people can trust.
8 resources · 4 Beginner · 4 Advanced
AI and data methods applied to your own branch of engineering, from signals and circuits to structures and process plants.
ECE
Signal processing, communications and embedded AI for electronics engineers.
17 resources · 10 Beginner · 6 Advanced · 1 Expert
EEE
Power systems, machines, control and smart grids, with machine learning applied.
13 resources · 7 Beginner · 6 Advanced
Mechanical
Data-driven engineering, control, robotics and machine learning for physical systems.
16 resources · 1 Beginner · 12 Advanced · 3 Expert
Civil
AI for structures, construction, transport and the built environment.
13 resources · 7 Beginner · 5 Advanced · 1 Expert
CSE/IT
Algorithms, systems and software engineering for building AI products.
8 resources · 3 Beginner · 4 Advanced · 1 Expert
Chemical
Process modelling, optimisation and data-driven methods for chemical engineers.
13 resources · 2 Beginner · 9 Advanced · 2 Expert
IoT & Embedded
Connected devices and AI at the edge: sensors, microcontrollers, IoT networks and TinyML.
6 resources · 4 Beginner · 2 Advanced
VLSI & Semiconductors
Chip design from Verilog to physical layout, and how AI is changing electronic design.
16 resources · 6 Beginner · 8 Advanced · 2 Expert
Robotics & Automation
Robot kinematics, control, planning, ROS and robot learning, for every branch.
8 resources · 2 Beginner · 5 Advanced · 1 Expert
Blockchain
How blockchains, cryptocurrencies and smart contracts work, and where they are useful.
6 resources · 4 Beginner · 2 Advanced
Quantum Computing
Qubits, quantum circuits and algorithms with Qiskit, and quantum machine learning.
12 resources · 2 Beginner · 10 Advanced
Biomedical & Biotech
Body signals, medical imaging systems and biological data for biomedical and biotech engineers.
8 resources · 2 Beginner · 5 Advanced · 1 Expert
Others
AI across other disciplines: biotech, aerospace, agriculture, healthcare and more.
6 resources · 4 Beginner · 1 Advanced · 1 Expert
How AI is used in each industry, with free courses, official guidelines and real Indian datasets for the industry you want to work in.
IT, Software & SaaS
Building and shipping AI products: software engineering, ML engineering and AI-assisted coding.
7 resources · 4 Beginner · 3 Advanced
Banking & Fintech
AI for credit, fraud, payments and trading, and the rules banks follow in India.
13 resources · 2 Beginner · 10 Advanced · 1 Expert
Insurance
Pricing, claims and fraud models, actuarial data science and Indian insurance data.
6 resources · 1 Beginner · 4 Advanced · 1 Expert
Healthcare & Hospitals
Clinical machine learning, medical imaging and the ethics and rules of health AI in India.
12 resources · 4 Beginner · 8 Advanced
Pharma & Life Sciences
AI for drug discovery, chemistry, genomics and pharma quality and regulation.
22 resources · 4 Beginner · 6 Advanced · 12 Expert
Manufacturing, Robotics & Industry 4.0
Smart factories, predictive maintenance, industrial IoT and automation.
11 resources · 2 Beginner · 9 Advanced
Automotive, EV & Aerospace
Electric vehicles, batteries, self-driving and vehicle data.
23 resources · 3 Beginner · 13 Advanced · 7 Expert
Energy, Power & Utilities
Smart grids, solar and demand forecasting, and Indian power-system data.
15 resources · 4 Beginner · 11 Advanced
Electronics, Semiconductors & Telecom
AI for wireless networks and chips, and Indian telecom data.
13 resources · 3 Beginner · 1 Advanced · 9 Expert
Retail, E-commerce & Consumer Goods
Recommendations, demand forecasting and customer analytics.
7 resources · 2 Beginner · 5 Advanced
Agriculture & Food
Precision farming, crop disease detection, satellite data and mandi prices.
6 resources · 4 Beginner · 1 Advanced · 1 Expert
Construction, Infrastructure & Smart Cities
GIS, remote sensing, air quality and open data for cities and infrastructure.
10 resources · 7 Beginner · 3 Advanced
Logistics & Supply Chain
Supply-chain analytics, inventory and route optimisation.
16 resources · 4 Beginner · 12 Advanced
Cybersecurity & Digital Trust
Security and privacy, ethical hacking, and keeping AI systems secure.
13 resources · 2 Beginner · 10 Advanced · 1 Expert
The clouds and data tools that real AI work runs on: Azure, AWS and Google Cloud with their AI services, modern data platforms, BI and databases.
Microsoft Azure
Azure fundamentals and its AI services: Azure AI Foundry, Azure OpenAI, AI Search and machine learning on Azure.
35 resources · 25 Beginner · 9 Advanced · 1 Expert
AWS
Amazon Web Services fundamentals and its AI services: Amazon Bedrock, SageMaker AI and building agents on AWS.
61 resources · 19 Beginner · 41 Advanced · 1 Expert
Google Cloud
Google Cloud fundamentals and its AI services: Gemini, Vertex AI agents and BigQuery ML.
75 resources · 19 Beginner · 55 Advanced · 1 Expert
Data Platforms
Lakehouses, warehouses and pipelines: Databricks, Snowflake, Microsoft Fabric, dbt and streaming with Kafka.
149 resources · 6 Beginner · 142 Advanced · 1 Expert
BI & Visualization
Turning data into dashboards and decisions with Power BI, Tableau and Looker, now with AI copilots.
41 resources · 35 Beginner · 6 Advanced
Databases & SQL
SQL and NoSQL databases from first query to design: PostgreSQL, MySQL, MongoDB and vector search for AI.
15 resources · 12 Beginner · 3 Advanced
Business AI on SAP: the Business Technology Platform, SAP AI Core and Joule, from free official learning.
SAP Business AI
What SAP Business AI does across finance, supply chain and HR, and how to find good AI use cases in a business.
6 resources · 2 Beginner · 4 Advanced
Joule
SAP's AI copilot: what it does and how to build with Joule Studio.
7 resources · 3 Beginner · 3 Advanced · 1 Expert
Generative AI Hub
Large language models on SAP BTP: prompts, orchestration, grounding and the SAP Cloud SDK for AI.
6 resources · 1 Beginner · 4 Advanced · 1 Expert
SAP AI Core
Running and managing AI models and generative AI on SAP BTP.
14 resources · 2 Beginner · 11 Advanced · 1 Expert
SAP AI Launchpad
The web app for running AI on SAP AI Core: connecting, deploying and monitoring models, and setting up the generative AI hub.
7 resources · 4 Beginner · 3 Advanced
SAP AI Analytics
AI in SAP analytics and data: SAP Analytics Cloud (Just Ask, Smart Predict), Datasphere, Business Data Cloud and machine learning in SAP HANA Cloud.
10 resources · 6 Beginner · 3 Advanced · 1 Expert
BTP Fundamentals
The SAP Business Technology Platform: accounts, services, CAP and integration.
28 resources · 5 Beginner · 23 Advanced
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