Vertex AI is now Gemini Enterprise Agent Platform! We are currently updating our content to reflect this change. Please bear with us if you encounter naming inconsistencies during this transition.
Apply your skills in Google Cloud console
Rahul Goyal
Date d'abonnement : 2026
Add Agent Capabilities With Tools
Earned mai 24, 2026 EDT
Optimize Agent Behavior
Earned mai 18, 2026 EDT
Engineer AI Agents with Agent Development Kit (ADK)
Earned mai 15, 2026 EDT
Prepare Data for ML APIs on Google Cloud
Earned mai 13, 2026 EDT
Build Your First Agent with Agent Development Kit (ADK)
Earned mai 8, 2026 EDT
Build Agents with Agent Development Kit (ADK)
Earned mai 8, 2026 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned avr. 30, 2026 EDT
Set Up an App Dev Environment on Google Cloud
Earned avr. 22, 2026 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned avr. 16, 2026 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned mars 30, 2026 EDT
You’ve built agents with advanced configuration—now give them real-world capabilities. Equip agents with tools that enable searching the web, executing code, querying databases, and performing custom actions. Transform agents from intelligent responders into capable assistants that take action.
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You’ve built your first agent—now it’s time to take it further. In this course, you’ll advance your skills by learning how to turn a basic AI agent into a sophisticated, precise assistant—applying advanced instructions, model selection, planning capabilities, and structured output patterns.
Join the community forum for questions and discussions
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Complete the intermediate Engineer AI Agents with Agent Development Kit (ADK) skill badge by completing this course to demonstrate skills in the following: formulating real-world language model research problems; building a simple tokenizer; preparing a dataset for training a transformer language model; running the training loop of a small language model.
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Complete the introductory Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Managed Service for Apache Spark, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API.
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Turn your understanding of agents into practical reality by building, configuring, and running your first AI agent using Google’s Agent Development Kit (ADK).
In this hands-on course, you’ll set up a complete ADK development environment, create agents with both Python code and YAML configuration, and run them through multiple interfaces. You’ll also learn the core parameters that define agent behavior, taking what you learned in course 1 and applying it to working code.
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Learn about how you can use Agent Development Kit (ADK) to build complex, production-ready AI agents. This course covers ADK’s open-source framework, moving from simple prompt engineering to a code-first, structured software development approach suitable for enterprise-grade, multi-agent systems.
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This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.
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Earn a skill badge by completing the Set Up an App Dev Environment on Google Cloud skill badge course, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub.
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Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
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Complete the introductory Implementing Cloud Load Balancing for Compute Engine skill badge to demonstrate skills in the following: creating and deploying virtual machines in Compute Engine and configuring network and application load balancers.
Add Agent Capabilities With Tools
Earned mai 24, 2026 EDT
Optimize Agent Behavior
Earned mai 18, 2026 EDT
Engineer AI Agents with Agent Development Kit (ADK)
Earned mai 15, 2026 EDT
Prepare Data for ML APIs on Google Cloud
Earned mai 13, 2026 EDT
Build Your First Agent with Agent Development Kit (ADK)
Earned mai 8, 2026 EDT
Build Agents with Agent Development Kit (ADK)
Earned mai 8, 2026 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned avr. 30, 2026 EDT
Set Up an App Dev Environment on Google Cloud
Earned avr. 22, 2026 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned avr. 16, 2026 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned mars 30, 2026 EDT