AI & Machine Learning Certificate Courses
Build Applied AI Capability—From First Models to Enterprise Deployment
Our AI Perspectives and Programs
Develop practical AI capability with the Caltech Center for Technology and Management Education (Caltech CTME). Our programs span executive AI strategy and adoption, applied machine learning, and hands-on system development in real-world environments—from generative AI and large language models to computer vision, neural networks, and production-ready workflows. Learn through lab-based experiences, engineering use cases, and instructor-led sessions grounded in Caltech research and industry practice.
Across executive, technical, and hands-on lab formats, participants learn to:
-
Define AI strategy and investment priorities—identify high-value use cases, assess risk, and guide adoption across business and technical functions
-
Build and apply AI-powered workflows and systems—including LLMs, automation pipelines, and decision-support tools
-
Work with modern AI methods and technologies—from generative AI to machine learning, computer vision, and neural networks
-
Translate AI capabilities into operational, product, and business impact
For Individual Learners
Short, intensive courses and labs designed to build practical AI skills quickly—from foundational literacy to hands-on implementation with modern tools and datasets.
Explore public AI courses and certificates
For Organizations
Custom programs aligned to your data, systems, and strategy—ranging from executive briefings to large-scale workforce upskilling in enterprise AI adoption, governance, and deployment.
Explore custom AI programs for your organization
Latest Thinking
Featured Public Courses
AI for Executives: Rapid Blueprinting for Organizational Adoption
This six-session executive course is designed for senior leaders who want to make meaningful progress on AI without lengthy planning cycles or heavy consulting engagements. You will apply practical, executive-friendly frameworks to assess readiness, identify priority use cases, establish pragmatic governance, and assemble a lean AI Strategy Blueprint. The emphasis is on clear, action-ready decisions—enabling organizations to move forward with confidence and minimal friction.
- 9 Hours
- Live-Online
- Short Course
Claude Code Agent Lab
Most developers use AI as enhanced autocomplete. This lab is about something more durable: designing and implementing an agentic workflow that can reason, plan, and act within a structured code environment.
In this half-day, live, instructor-led lab, you will build a functioning AI workflow agent using Claude Code. Working in a small group, with expert coaching and real-time feedback, you will move from configuration to architecture to integration—using realistic repositories and applied use cases rather than isolated demos.
- 4 Hours
- Live-Online
- Short Course
AI for Project Management: A Hands-On Learning Lab
AI for Project Management is here: in this 16-hour, hands-on workshop, project managers learn to apply generative AI and AI assistants to planning, scheduling, risk, cost, and communications—safely and without coding. This course goes beyond prompting: you will learn where today's models fail and how to catch it, build reusable AI workspaces with projects and skills, run AI deep research, and apply the latest findings on working productively, and growing, alongside AI. Participants can work in Claude, ChatGPT, or Microsoft Copilot; live demonstrations use Claude. Leave with reusable prompts, ready-to-use templates, and lightweight automations for your real projects.
- 16 Hours
- Live-Online
- Short Course