01
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.
02
Responsible AI User
Use AI productively while protecting privacy, checking outputs, and preserving human accountability.
03
AI at Work
Evaluate workplace use cases, run safe pilots, measure value, and communicate changes responsibly.
04
AI Policy & Society
Analyze AI systems through rights, equity, governance, safety, and public-interest outcomes.
05
Building with AI Systems
Understand language models, retrieval, agents, evaluation, cost, and deployment safeguards through practical system design.
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FundamentalsCore concepts: how AI works at a high level.84 guides Language AILLMs, NLP, ChatGPT, prompting, and text understanding.155 guides Visual AIImage generation, computer vision, video, and design.133 guides Audio AIVoice, music, podcasting, and audio-first AI.117 guides CompaniesProfiles of OpenAI, Anthropic, Google, Meta, and more.121 guides ApplicationsHow AI shows up in coding, search, agents, and daily life.111 guides IndustriesAI in healthcare, finance, education, energy, and more.91 guides TechnicalChips, fine-tuning, RAG, vectors, and AI infrastructure.177 guides SocietyBias, privacy, copyright, safety, and the AI future.30 guides
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Audio AI
Tacotron 2
Tacotron 2 is an end-to-end text-to-speech system from Google (2017) that turns written text directly into a mel-spectrogram, which a neural vocoder converts…
CompaniesGoogle Gemini
Google Gemini is Google DeepMind's family of natively multimodal AI models that can reason across text, images, audio, video, and code.
CompaniesGoogle Gemma
Gemma is Google's family of lightweight, open-weight AI models built from the same research and technology as Gemini.
CompaniesGPT-4 and GPT-4o
GPT-4 (2023) was OpenAI's breakthrough large multimodal model that could accept images as well as text, and GPT-4o (2024) made it faster, cheaper…
ApplicationsAI Lead Scoring
AI lead scoring uses machine learning to predict which sales leads are most likely to convert, so sales teams spend time on the best opportunities.
IndustriesAI in Drug Discovery
AI in drug discovery uses machine learning to predict molecular behavior, design new compounds, and shrink the years and billions normally needed to find…
IndustriesAI in Radiology
AI in radiology uses deep learning to detect, measure, and flag findings in medical images like X-rays, CT, and MRI scans.
TechnicalKubernetes for ML Workloads
Kubernetes is an open-source system that automatically schedules, scales, and restarts containerized programs across a cluster of machines.
TechnicalFeature Stores
A feature store is a central system that computes, stores, and serves the input variables (features) that machine learning models consume.
TechnicalModel Registries
A model registry is a version-controlled catalog for trained machine learning models, tracking each version's lineage, metrics, and deployment stage.
CompaniesCursor and Anysphere
Cursor is an AI-first code editor built by the startup Anysphere that turns natural-language instructions into working code edits across an entire codebase.
CompaniesReplit AI
Replit AI is a suite of AI coding features built into Replit, a browser-based development platform, letting anyone build and deploy software from a phone…
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