Free AI learning
Free AI courses, hand-picked.
This page lists 59 free, self-paced AI courses from 12 other providers — technology companies and universities — that our trainers think are worth your time. They are third-party courses: DAIDU doesn't run them, and the providers set their own content, certificates and terms.
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NVIDIA
17 free courses
- Accelerate Data Science Workflows with Zero Code ChangesShows data scientists how to speed up existing Python data workflows on GPUs with the RAPIDS libraries, without rewriting code.On NVIDIA's site (opens in a new tab)
- An Even Easier Introduction to CUDAIntroduces GPU-accelerated computing with CUDA, including writing kernels and managing memory.On NVIDIA's site (opens in a new tab)
- Applying AI Weather Models with NVIDIA Earth-2Covers how to run AI weather prediction models and integrate them into custom workflows with NVIDIA Earth-2.On NVIDIA's site (opens in a new tab)
- Augment Your LLM Using Retrieval-Augmented GenerationA high-level introduction to retrieval-augmented generation (RAG) and how it improves large language model answers.On NVIDIA's site (opens in a new tab)
- Building RAG Agents with LLMsA hands-on course on designing and deploying retrieval-augmented generation agents with large language models.On NVIDIA's site (opens in a new tab)
- Building Video AI Applications at the Edge on Jetson NanoTeaches developers to build video analytics applications with object detection on the Jetson Nano using the DeepStream SDK.On NVIDIA's site (opens in a new tab)
- Decentralized AI at Scale with NVIDIA FlareCovers deploying federated and decentralised machine learning across organisations with NVIDIA FLARE while keeping data local.On NVIDIA's site (opens in a new tab)
- Digital Fingerprinting with MorpheusTeaches how to build AI-based digital fingerprinting and anomaly detection pipelines with NVIDIA Morpheus.On NVIDIA's site (opens in a new tab)
- Disaster Risk Monitoring Using Satellite ImageryShows how to detect flood events in satellite imagery with deep learning, developed with the UN Satellite Centre (UNOSAT).On NVIDIA's site (opens in a new tab)
- Generative AI ExplainedA no-code introduction to generative AI concepts, applications and challenges.On NVIDIA's site (opens in a new tab)
- Getting Started with AI on Jetson NanoA hands-on introduction to running AI models, including image classification, on the Jetson Nano.On NVIDIA's site (opens in a new tab)
- Getting Started with NVIDIA Tools for Generative AI in Digital HealthA no-code overview of generative AI concepts and NVIDIA tools for digital health.On NVIDIA's site (opens in a new tab)
- Introduction to Federated Learning with NVIDIA FLAREIntroduces federated learning and how to build privacy-preserving applications with NVIDIA FLARE.On NVIDIA's site (opens in a new tab)
- Introduction to Multi-Modal Data CurationIntroduces how to collect, organise and process text, image and audio data for AI training.On NVIDIA's site (opens in a new tab)
- Introduction to NVIDIA NIM MicroservicesA no-code overview of NVIDIA NIM microservices for deploying generative AI models.On NVIDIA's site (opens in a new tab)
- Medical AI Development with MONAI: Interactive Annotation Using NVIDIA NIM MicroservicesCovers building medical imaging AI workflows, from interactive annotation to deployment, with MONAI and NVIDIA NIM.On NVIDIA's site (opens in a new tab)
- Streamlining Drug Discovery with NVIDIA BioNeMo NIM Microservices and BlueprintsIntroduces NVIDIA BioNeMo NIM microservices and blueprints for drug discovery tasks such as virtual screening.On NVIDIA's site (opens in a new tab)
AWS
17 free courses
- Amazon Q IntroductionA short overview of Amazon Q, AWS's generative AI assistant, and how it supports analysis, development and business intelligence tasks.On AWS's site (opens in a new tab)
- Building a Generative AI–Ready OrganizationHelps leaders prepare an organisation for generative AI, covering strategy, team alignment and governance.On AWS's site (opens in a new tab)
- Developing Generative Artificial Intelligence SolutionsIntroduces developers to the concepts, risks and technical foundations needed to build generative AI applications.On AWS's site (opens in a new tab)
- Developing Machine Learning SolutionsAn overview of the machine learning lifecycle, from data collection to deployment, using AWS services.On AWS's site (opens in a new tab)
- Essentials of Prompt EngineeringIntroduces prompt techniques such as zero-shot, few-shot and chain-of-thought, plus risks like prompt injection.On AWS's site (opens in a new tab)
- Exploring Artificial Intelligence Use Cases and ApplicationsExplores real-world AI use cases across business, healthcare, finance and other industries.On AWS's site (opens in a new tab)
- Foundations of Prompt EngineeringCovers prompt engineering principles and techniques for generative AI, with hands-on work in Amazon SageMaker JumpStart.On AWS's site (opens in a new tab)
- Fundamentals of Machine Learning and Artificial IntelligenceIntroduces core machine learning and AI concepts, including supervised and unsupervised learning and AI ethics.On AWS's site (opens in a new tab)
- Generative AI for ExecutivesHelps senior leaders understand the business value, use cases and responsible implementation of generative AI.On AWS's site (opens in a new tab)
- Introduction to Generative AI – Art of the PossibleA one-hour introduction to generative AI, its risks and benefits, for business leaders and decision makers.On AWS's site (opens in a new tab)
- Introduction to Machine Learning: Art of the PossibleExplains machine learning basics, applications, benefits and risks for business and technical decision makers.On AWS's site (opens in a new tab)
- Machine Learning Essentials for Business and Technical Decision MakersHelps business and technical leaders shape a machine learning strategy and assess organisational readiness.On AWS's site (opens in a new tab)
- Machine Learning Terminology and ProcessAn AWS course on core machine learning terminology and the ML process.On AWS's site (opens in a new tab)
- Planning a Generative AI ProjectA practical introduction to planning generative AI projects, from goals and use cases to risk mitigation.On AWS's site (opens in a new tab)
- Planning a Machine Learning ProjectA structured approach to scoping machine learning projects, preparing data and planning deployment.On AWS's site (opens in a new tab)
- Responsible Artificial Intelligence PracticesIntroduces responsible AI principles such as fairness, transparency and explainability, and AWS tools that support them.On AWS's site (opens in a new tab)
- Security, Compliance, and Governance for AI SolutionsCovers securing AI systems, governance and compliance requirements, and secure data engineering practices.On AWS's site (opens in a new tab)
DeepLearning.AI
5 free courses
- AI Python for BeginnersA four-part introduction to Python programming with AI assistance, taught by Andrew Ng, for people with no coding experience.On DeepLearning.AI's site (opens in a new tab)
- Building AI Browser AgentsExplains how to build AI agents that navigate and act on websites, including their architecture and reliability techniques.On DeepLearning.AI's site (opens in a new tab)
- Building AI Voice Agents for ProductionCovers the design and deployment of AI voice agents that combine speech-to-text, LLMs and text-to-speech.On DeepLearning.AI's site (opens in a new tab)
- LLMs as Operating Systems: Agent MemoryShows how to build LLM agents with persistent memory, developed with Letta.On DeepLearning.AI's site (opens in a new tab)
- MCP: Build Rich-Context AI Apps with AnthropicIntroduces the Model Context Protocol (MCP) for connecting AI applications to tools and data, developed with Anthropic.On DeepLearning.AI's site (opens in a new tab)
Great Learning
5 free courses
- Applications of AIIntroduces how AI is applied across industries, with its history and ethical considerations; aimed at learners aged 13-18.On Great Learning's site (opens in a new tab)
- Digital Image ProcessingIntroduces digital image processing fundamentals such as enhancement, restoration, compression and segmentation.On Great Learning's site (opens in a new tab)
- Introduction to Neural Networks and Deep LearningIntroduces neural networks and deep learning, from perceptrons to multi-layer networks.On Great Learning's site (opens in a new tab)
- Introduction to Deep LearningAn introduction to deep learning, neural networks, gradient descent and activation functions.On Great Learning's site (opens in a new tab)
- Introduction to TensorFlow and KerasA hands-on introduction to building and training deep learning models with TensorFlow and Keras.On Great Learning's site (opens in a new tab)
IBM
5 free courses
- Artificial Intelligence FundamentalsAn introductory overview of AI concepts such as NLP, computer vision and machine learning, with hands-on work in IBM Watson Studio.On IBM's site (opens in a new tab)
- Cybersecurity FundamentalsAn introduction to cybersecurity concepts, common attack types, cryptography and risk management.On IBM's site (opens in a new tab)
- Generative AI for Data Scientists SpecializationA three-course specialisation on applying generative AI and prompt engineering to data science work.On IBM's site (opens in a new tab)
- IBM: AI for Everyone: Master the BasicsA non-technical introduction to AI, machine learning, deep learning, AI risks and career paths.On IBM's site (opens in a new tab)
- IBM AI Foundations for BusinessA specialisation for business leaders on AI fundamentals, data science and IBM's AI Ladder framework.On IBM's site (opens in a new tab)
HubSpot
2 free courses
- Digital Marketing CertificationA free certification course covering digital marketing strategy, social media, content, email, advertising, SEO and analytics.On HubSpot's site (opens in a new tab)
- Inbound Marketing CertificationA free certification course introducing inbound marketing strategy, content, social media and email.On HubSpot's site (opens in a new tab)
LinkedIn Learning
2 free courses
- Generative AI for Learning and Development Professional Certificate by LinkedIn LearningA professional certificate path on using generative AI to improve learning and development in organisations.On LinkedIn Learning's site (opens in a new tab)
- Introduction to Artificial IntelligenceA high-level overview of AI concepts, machine learning and large language models for managers and newcomers.On LinkedIn Learning's site (opens in a new tab)
2 free courses
- Introduction to Generative AIA short introduction to what generative AI is, how it differs from traditional machine learning and where it is used.On Google's site (opens in a new tab)
- Introduction to Large Language ModelsA short introduction to large language models, their uses and how prompt tuning improves them.On Google's site (opens in a new tab)
BCG
1 free course
Uxcel
1 free course
Coursera
1 free course
Tata
1 free course
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