Build job-ready AI skills in about 14 hours. No experience required.
AI skills now carry a measurable pay advantage. Workers with AI skills earn an average wage premium of 62%, according to PwC's 2026 Global AI Jobs Barometer, an analysis of more than one billion job ads across 27 countries.¹ That demand is no longer limited to tech roles, and it's showing up in marketing, finance, operations, and beyond. This IBM course gives you the foundation to compete for those roles, or to move up in the one you have. You'll learn how AI systems learn from data, how machine learning, deep learning, and neural networks work, and how large language models, generative AI, RAG, and AI agents are changing the way companies operate. You'll leave able to talk about AI with confidence in an interview, a performance review, or a boardroom. You won't just watch videos. Across four modules, you'll complete hands-on labs with real generative AI tools, then finish with a final project where you design a responsible, generative AI solution to a real organizational challenge. That project is something concrete to show employers and discuss in interviews. Along the way, you'll explore the career paths AI is opening up, learn the frameworks leading companies use to adopt AI, and understand the ethics and governance issues that employers now expect every professional to know. Skills you'll gain include: - Explaining core AI, machine learning, and deep learning concepts - Applying generative AI and prompt engineering tools to real work - Identifying where AI can improve business processes - Understanding RAG and agentic workflows - Applying responsible AI and governance practices Join 960,000+ learners (4.7 stars from 23,000+ reviews, and 96% of learners liked this course). Finish with a shareable certificate you can add to your LinkedIn profile, resume, or CV. ¹ PwC 2026 Global AI Jobs Barometer, June 2026. Premium is an average across AI-skilled roles and varies by industry and seniority.
