Google and Kaggle opened registration for their free five-day AI Agents Intensive course, following an initial run that reached over 1.5 million learners. Scheduled for June 15–19, 2026, the updated program focuses on turning natural language into actionable software workflows through vibe coding. Developers and software engineers can learn how to construct production-ready agent systems by connecting natural language tools to external APIs.
Scaling Workflows with Vibe Coding
The curriculum centers on vibe coding, an approach where natural language serves as the primary interface for software creation. Rather than manually writing boilerplate code, participants use conversational prompts to direct autonomous systems that execute tasks and call external services.
Course founder Anant Nawalgaria and product marketing head Frank Guan structured the module to progress from core agent principles to production deployments. Students learn to build high-efficiency agents capable of executing complex workflows by linking AI models directly to production APIs.
Architecture and Course Structure
The June 2026 iteration introduces updated learning modules, guest industry speakers, and a required capstone project. Key elements of the curriculum include:
- Natural language interfaces: Designing conversational prompt workflows to program software logic.
- Tool and API connections: Integrating agent architectures with external datasets and operational tools.
- Production reliability: Moving from simple chatbots to robust, production-ready agent execution.
- Interactive capstone: Building and deploying a completed agent system to finalize the program.
The previous iteration of the course reached over 1.5 million learners worldwide.
Why It Matters
As enterprise development increasingly shifts toward autonomous systems, foundational training in tool connection and prompt-driven orchestration becomes relevant for software teams. By pairing instruction with a hands-on capstone project, Google and Kaggle are offering a structured on-ramp for developers moving from traditional coding to agentic software engineering.