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Beginner · 4 modules
AI Foundations
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
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Each course includes explicit outcomes, mapped competencies, practice activities, and an applied capstone.
Beginner · 4 modules
Responsible AI User
Use AI productively while protecting privacy, checking outputs, and preserving human accountability.
~5h to completeView courseIntermediate · 4 modules
AI at Work
Evaluate workplace use cases, run safe pilots, measure value, and communicate changes responsibly.
~6h to completeView courseIntermediate · 4 modules
AI Policy & Society
Analyze AI systems through rights, equity, governance, safety, and public-interest outcomes.
~6h to completeView courseIntermediate · 4 modules
Building with AI Systems
Understand language models, retrieval, agents, evaluation, cost, and deployment safeguards through practical system design.
~8h to completeView course
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- 91 guidesFundamentalsCore concepts: how AI works at a high level.Explore
- 177 guidesLanguage AILLMs, NLP, ChatGPT, prompting, and text understanding.Explore
- 170 guidesVisual AIImage generation, computer vision, video, and design.Explore
- 124 guidesAudio AIVoice, music, podcasting, and audio-first AI.Explore
- 123 guidesCompaniesProfiles of OpenAI, Anthropic, Google, Meta, and more.Explore
- 346 guidesApplicationsHow AI shows up in coding, search, agents, and daily life.Explore
- 165 guidesIndustriesAI in healthcare, finance, education, energy, and more.Explore
- 319 guidesTechnicalChips, fine-tuning, RAG, vectors, and AI infrastructure.Explore
- 142 guidesSocietyBias, privacy, copyright, safety, and the AI future.Explore
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- FundamentalsWhat is AI?Artificial intelligence (AI) is the field of building computer systems that perform tasks such as recognizing patterns, understanding language, planning…3 min readRead
- FundamentalsHow AI LearnsMachine-learning systems learn by adjusting a model using data and a training objective.3 min readRead
- FundamentalsNeural NetworksA neural network is a machine-learning model made of connected mathematical operations with adjustable parameters.3 min readRead
- FundamentalsDeep LearningDeep learning is a branch of machine learning that uses neural networks with multiple layers to learn representations of data.3 min readRead
- FundamentalsAI TrainingAI training is the process of adjusting a machine-learning model using examples and a learning objective.2 min readRead
- FundamentalsAI InferenceInference is using a trained model to produce an output from a new input.2 min readRead
- FundamentalsAI & DataData is the recorded information a machine-learning system learns from or processes.2 min readRead
- FundamentalsAI Models ExplainedA machine-learning model is a mathematical system that maps inputs to outputs using a structure and learned parameters.2 min readRead
- Language AIChatGPT & LLMsA large language model (LLM) is a model trained to work with patterns in language, often by predicting tokens from context.3 min readRead
- Language AINLP BasicsNatural language processing, or NLP, is the study and engineering of systems that work with human language.2 min readRead
- Language AITransformersA transformer is a neural-network architecture that uses attention to combine information across a sequence.2 min readRead
- Language AIPrompt EngineeringPrompt engineering is the practice of designing and testing instructions and context for an AI model.3 min readRead
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