Google and Kaggle’s free, in-depth course on AI agents explores autonomous systems that automate tasks, make decisions, initiate actions and adapt in real time. Originally a five-day live event, the program combines instructional videos, guest sessions, hands-on labs and a capstone-style project to teach agent architecture, memory, decision making, evaluation, production readiness and practical coding exercises.
Course structure and content
The program delivers a comprehensive learning path through several coordinated elements:
- Instructional videos hosted on Kaggle’s YouTube channel, presenting the core material and demonstrations.
- Guest sessions featuring experts from Google, NVIDIA, Cohere and others, adding diverse industry perspectives.
- Hands-on labs that let learners apply concepts with practical coding exercises tied to agent development.
- Capstone-style project designed to integrate learning across modules and produce a demonstrable outcome.
Topics explicitly covered include agent architecture, tools and frameworks, memory and decision making, evaluation and production readiness, plus practical coding exercises. These components together support a deep, applied understanding of AI agents by combining theory, expert insight and practical implementation.
Access, pacing and building portfolio projects
Although live registrations likely closed on November 9, learners retain ongoing access to the course materials. Individuals can:
- Watch the instructional videos at any time on Kaggle’s YouTube channel.
- Work through hands-on labs and submit assignments at their own pace.
- Complete the capstone-style project to synthesize learning and demonstrate skills.
The course supports portfolio development: participants can convert assignments and the capstone into showcase projects — for example, chatbots with memory or task-oriented assistants — that reflect training in agent architecture, decision making, evaluation and production readiness.
Conclusion
This free, in-depth offering from Google and Kaggle bundles instructional videos, guest sessions, hands-on labs and a capstone to teach AI agents—covering architecture, tools, memory, decision making, evaluation and production readiness. Even though live registration likely closed on November 9, learners can access the videos, submit assignments at their own pace and build portfolio projects (such as chatbots with memory or task-oriented assistants) to demonstrate practical skills.