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:
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Define AI strategy and investment priorities—identify high-value use cases, assess risk, and guide adoption across business and technical functions
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Build and apply AI-powered workflows and systems—including LLMs, automation pipelines, and decision-support tools
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Work with modern AI methods and technologies—from generative AI to machine learning, computer vision, and neural networks
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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 Tools for Everyone: A Hands-On Learning Lab (Online) FREE
AI literacy is becoming a basic professional skill. This free, self-paced lab from Caltech CTME gives you a structured, guided path through the AI tools people actually use — ChatGPT, Claude, Gemini, NotebookLM and Perplexity — for writing, research, design, and everyday work.
You will start with how these tools work and how to prompt them well, then go as far as building your own AI assistant and connecting AI to the applications you already use. Real prompts, real exercises, real work products. No prior experience with AI or programming is required.
- 8 Hours
- Self-Paced Online
- Short Course
Transitioning Models to SysML v2 with MBSE
The transition from SysML v1 to SysML v2 represents a fundamental shift in the landscape of Model-Based Systems Engineering (MBSE). Unlike previous incremental updates, SysML v2 is built on a new logical foundation—the Kernel Modeling (KerML)—and introduces a standardized API and a powerful textual notation. This three-day program is designed to bridge the gap for current SysML v1 practitioners, providing the technical knowledge and hands-on practical skills required to migrate existing SysML V1 models and adopt the new SysML V2 standard using Cameo Systems Modeler.
- 24 Hours
- Self-Paced Online
- Certificate
Advanced Model-Based Systems Engineering (AMBSE)
Gain valuable expertise and level up your skills with Caltech's Advanced Model-Based System Engineering Certificate Program (Advanced MBSE). Dive into the full power of SysML in practical examples of intricate systems and digital threads. Benefit from engaging, self-paced learning guided by an accessible expert instructor as you work through real-world scenarios. Build the confidence to deploy MBSE/SysML on your projects in a manner that adds value and encourages robust systems thinking.
- 48 Hours
- Self-Paced Online
- Certificate