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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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Five outcome-based courses
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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- 134 guidesFundamentalsCore concepts: how AI works at a high level.Explore
- 272 guidesLanguage AILLMs, NLP, ChatGPT, prompting, and text understanding.Explore
- 298 guidesVisual AIImage generation, computer vision, video, and design.Explore
- 188 guidesAudio AIVoice, music, podcasting, and audio-first AI.Explore
- 145 guidesCompaniesProfiles of OpenAI, Anthropic, Google, Meta, and more.Explore
- 761 guidesApplicationsHow AI shows up in coding, search, agents, and daily life.Explore
- 244 guidesIndustriesAI in healthcare, finance, education, energy, and more.Explore
- 536 guidesTechnicalChips, fine-tuning, RAG, vectors, and AI infrastructure.Explore
- 422 guidesSocietyBias, privacy, copyright, safety, and the AI future.Explore
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Technical
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- TechnicalAI BenchmarksAn AI benchmark is a defined set of tasks, data, and scoring rules used to compare systems.2 min readRead
- TechnicalAI Chips & HardwareAI hardware executes the numerical operations used to train and run models.2 min readRead
- TechnicalReinforcement LearningReinforcement learning trains an agent to choose actions using feedback about their consequences.2 min readRead
- TechnicalAI & RoboticsAI and robotics combine perception, planning, control, and physical action.2 min readRead
- TechnicalFine-TuningFine-tuning continues training an existing model on a selected dataset or objective.2 min readRead
- TechnicalRetrieval-Augmented Generation (RAG)Retrieval-augmented generation, or RAG, supplies retrieved material to a generative model when answering a request.2 min readRead
- TechnicalVector DatabasesA vector database stores numerical representations and retrieves records using a similarity measure, often alongside metadata filters.2 min readRead
- TechnicalEdge AIEdge AI runs model processing close to where data is collected or used, such as on a phone, camera, vehicle, or local gateway.2 min readRead
- TechnicalQuantum AIQuantum AI describes intersections between quantum computing and machine learning, such as using quantum circuits in learning algorithms or using machine…2 min readRead
- TechnicalAI ObservabilityAI observability uses measurements and records to understand how an AI application behaves.2 min readRead
- TechnicalAI Model MonitoringModel monitoring checks whether a deployed model and its inputs continue to behave as expected.2 min readRead
- TechnicalAI Inference OptimizationInference optimization reduces the resources or time required to run a model while preserving the quality needed for its task.2 min readRead
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