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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Society
AI & Jobs
AI can change the tasks inside jobs, the way work is organized, and demand for particular skills.
SocietyAI Security
AI security protects models, data, tools, and surrounding services from unauthorized access or manipulation.
SocietyAI Regulation
AI regulation is the set of legal requirements that can apply to developing, selling, or using AI systems.
SocietyAI Myths
Common AI myths confuse a system’s observable behavior with broader claims about knowledge, reliability, autonomy, or understanding.
SocietyFuture of AI
The future of AI is uncertain and depends on technical progress, resources, policy, economics, and human choices.
SocietyAI & Society
AI affects society through the institutions, services, information systems, and workplaces that adopt it.
Language AIReversal Curse in LLMs
The reversal curse is a surprising failure mode where a language model that learns 'A is B' cannot reliably answer 'B is A.
Language AILost in the Middle Effect
The 'lost in the middle' effect is the tendency of language models to use information best when it appears at the start or end of a long input…
Language AIEmergent Abilities of Large Language Models
Emergent abilities are skills that appear suddenly in large language models once they pass a certain scale, even though smaller models showed no sign of them.
TechnicalBYOL and Non-Contrastive Self-Supervision
BYOL (Bootstrap Your Own Latent) learns useful image representations without any labels and, surprisingly, without negative examples.
TechnicalBarlow Twins and Redundancy Reduction
Barlow Twins is a self-supervised method that learns representations by making the cross-correlation matrix between two augmented views close to the identity…
TechnicalPseudo-Labeling and Self-Training
Pseudo-labeling is a semi-supervised technique where a model trained on a small labeled set generates its own labels for unlabeled data, then trains on those…
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