Knowledge Album.

Go from single-prompt design to orchestrating end-to-end, multi-agent systems. Learn to coordinate agents in Agent Development Kit (ADK), connect to external tools with MCP, and automate workflows using the Agent-to-Agent (A2A) protocol. This path teaches you to design workflow-based routing and deploy your solutions via Agent Runtime.

Learn to build and coordinate AI agents to solve complex business challenges. This path covers real-world applications across marketing, retail, and manufacturing, teaching you how to balance machine speed with human oversight to drive your organization's AI transformation. Complete the Orchestrate Multi-agent Workflows with Gemini Enterprise course to earn your Gemini Enterprise skill badge.

Connect and operationalize agents across enterprise ecosystems. Learn to manage the entire agent lifecycle, deploy ADK agents to scalable environments like Vertex AI Agent Engine and Cloud Run, and enable enterprise connectivity using the Model Context Protocol (MCP) and Agent2Agent (A2A) Protocol.

Gain a foundational understanding of AI agents, from their core architecture to their real-world business impact. Cover the essentials of “what is an agent,” understand Google Cloud's unified stack for agent development, and gain practical experience by creating your first Gemini Enterprise application to earn a skill badge.

This learning path explores the evolution of AI agents that move beyond text generation to autonomous execution using Agent Development Kit (ADK). You will learn how to build and configure agents using Python and YAML, progressing from basic setups to sophisticated assistants with advanced planning and structured output capabilities.

A Generative AI Leader articulates the capabilities of generative AI and understands how it can benefit an organization. This path focuses on the essential skills for the Generative AI Leader role, from understanding the fundamentals of generative AI to applying it for business innovation using tools like Gemini Advanced, Gemini Notebook, and Google AI Studio.

Listed by Google as “Generative AI Leader Certification”, the “Train for the exam” path for the Google Cloud Generative AI Leader certification.

This path was curated for Small/Medium-sized Businesses (SMBs) and focuses on scaling business operations by combining introductory Generative AI technical foundations with Gemini-led automation and the GEAR framework for custom agent development.

This path focuses on accelerating startup growth by combining introductory Google Cloud Console navigation with foundational resource configuration and console-led data workflows.

This learning path provides an overview of generative AI concepts, from the fundamentals of large language models to responsible AI principles.

Google Workspace with Gemini provides customers with generative AI features in Google Workspace. In this learning path, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace.

In just 10 minutes per session, you’ll discover how Google’s own experts wield AI tools like Gemini, Gemini for Workspace, Gemini Notebook, and AI Studio.

The AI for City Hall path is intended to help small to mid-sized cities who are starting out on Google Cloud products become more proficient on collaboration and generative AI tools. Within this path, you will find courses on generative AI, specific modules to help you master our suite of Google Workspace products, as well as videos with quick tips to develop specific skills or tasks. AI presents an immediate opportunity to build capacity, enabling governments to serve their communities faster and more equitably.