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Apply your skills in Google Cloud console

Edder Ramírez

Учасник із 2025

Бронзова ліга

Кількість балів: 2847
Optimize Agent Behavior Earned лют. 24, 2026 EST
Engineer AI Agents with Agent Development Kit (ADK) Earned лют. 24, 2026 EST
Build Your First Agent with Agent Development Kit (ADK) Earned лют. 17, 2026 EST
Build Agents with Agent Development Kit (ADK) Earned лют. 16, 2026 EST
Professional Machine Learning Engineer Study Guide Earned лист. 14, 2025 EST
Analyze Images with the Cloud Vision API Earned січ. 30, 2025 EST

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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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 helps learners create a study plan for the PMLE (Professional Machine Learning Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.

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Earn a skill badge by completing the Analyze Images with the Cloud Vision API quest, where you discover how to leverage the Cloud Vision API for various tasks, including extracting text from images.

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