Introducing AI Series on Coursera: 12 Expert-curated learning plans to help you apply AI in your field

Every job across every industry is being reshaped by AI, but many professionals struggle to identify the right AI skills they need and where to start. Today, we’re introducing AI Series on Coursera, 12 expert-curated learning plans that help professionals build and apply AI skills in their fields. 

From business, leadership, and finance to software development and engineering, each AI series brings together world-class courses, Specializations, and hands-on projects from leading universities, companies, and subject-matter experts. These curated plans are guided by custom skills maps that use industry research, professional standards, and labor-market data to identify the capabilities professionals need. For example, both engineering series are built on the AI Engineering Skills Map, created by one of the world’s foremost AI experts, Andrew Ng, and informed by more than 10,000 job postings and interviews with practitioners.

“AI capabilities are changing what we can build; AI coding agents are further changing how we build. As a result, the world needs more people skilled in AI engineering; but the nature of development work is changing. A skills map gives learners a systematic way to identify and focus on what are the most valuable skills even as the tasks in our jobs are being  transformed by AI,” said Andrew Ng, one of the world’s foremost AI experts and creator of the course AI for Everyone.

Our initial launch includes courses across many domains: 

Business and leadership

• AI for Business Leadership Series: Develop adoption strategies, oversee governance, and lead teams through change. Includes content from Saïd Business School, University of Oxford, SAS, and the University of Michigan.
• AI for Project Management Series: Improve project planning, delivery, stakeholder communication, and risk management. Includes content from Hult International Business School, Scrum Alliance, and Vanderbilt University. 
• AI for Finance and Accounting Series: Streamline forecasting, financial analysis, accounting workflows, and reporting, with appropriate review and controls. Includes content from Google Cloud, IBM, and Rutgers University.
• AI for Product Management Series: Accelerate product research, shape strategy, and build working prototypes. Includes content from Duke University, Google, and Replit.
• AI for Digital Marketing Series: Develop campaigns, create content, and analyze marketing performance. Includes content from Adobe, Meta, and Unilever.
• AI for Healthcare Management and Operations Series: Improve healthcare workflows, coordinate care, and strengthen operational decision-making and governance. Includes content from Microsoft, Stanford Online, and the University of Glasgow.

Data, technology, and engineering

• AI for Data Analytics Series: Accelerate data preparation, analysis, visualization, and forecasting. Includes content from Google Cloud, Microsoft, and Vanderbilt University.
• AI for Cybersecurity Series: Secure intelligent systems and strengthen threat detection, response, and governance. Includes content from IBM, Johns Hopkins University, and Macquarie University.
• AI for Information Technology Series: Deploy cloud workloads, automate operations, and strengthen infrastructure security and governance. Includes content from AWS, DeepLearning.AI, and Microsoft. 
• AI for Software Development Series: Learn to direct coding tools, review and test outputs, and deploy software. Includes content from DeepLearning.AI, Google, and Microsoft.
• AI Engineering: Using Coding Agents Series: Learn to direct coding agents through planning, execution, and monitoring. Includes content from Anthropic, UiPath, and Vanderbilt University.
• AI Engineering: Building and Deploying AI Applications Series: Develop and operate applications using large language models and agentic systems. Includes content from Anthropic, DeepLearning.AI, and Duke University.

“Imagine handing someone a book and saying, ‘Here—figure out how to read and write.’ We’d never do that. We teach people the patterns of language: how words fit together, how sentences carry meaning, and how to organize ideas clearly. Yet with AI, we often hand people the technology and say, ‘Go figure it out.’ AI has patterns to learn, too: writing effective prompts, decomposing problems, sequencing prompts, and building agents and tools. Just as people need expert instruction to become effective readers and writers, professionals need structured, expert-led learning to master the patterns of solving problems with AI,” said Dr. Jules White, Senior Advisor to the Chancellor on Generative AI, Vanderbilt University. Creator of the course Chat with Your Data: Generative AI Powered SQL Data Analysis

In Coursera’s 2025 Learner Outcomes Report, 94% of surveyed full-time professionals who completed GenAI content reported a positive impact at work, while 42% of surveyed GenAI course completers reported a salary increase since enrolling. AI Series helps professionals identify the skills that matter, build those capabilities, and apply them to move their career forward.