If you are just starting: Hard Fork (New York Times, Kevin Roose and Casey Newton) covers AI news without assuming technical background. Elements of AI from the University of Helsinki is free, browser-based, requires no coding, and over 1.8 million people have completed it. Google AI Essentials on Coursera is the fastest structured introduction; it is free to audit.
If you want daily coverage: Everyday AI (hosted by Jordan Wilson) runs Monday through Friday and focuses on practical business applications. The AI Daily Brief is a fifteen-minute news summary suited to anyone who wants to stay current without committing to a long show.
If you are building or managing a team that builds: Latent Space is the most respected podcast for AI engineers — it covers foundation models, agents, infrastructure, and code generation at depth. Practical AI (Changelog Network) bridges the gap between engineering and business, and is the best show for non-engineers who work alongside technical teams.
If you want long-form thinking: The Lex Fridman Podcast runs two to four hours per episode and covers AI research, philosophy, and science with researchers and founders. Not suited for daily commutes but useful for travel days.
Free courses worth completing: AI For Everyone by Andrew Ng (DeepLearning.AI, Coursera) is the most widely recommended non-technical introduction — four weeks, free to audit. Anthropic publishes a free course library at anthropic.com/learn that covers prompt engineering through to production deployments. IBM AI Foundations for Everyone on Coursera requires no coding background and covers machine learning, neural networks, and NLP at a conceptual level.
One rule: finish one thing before starting another. Most people who "tried a course" opened three and finished none.