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Aplique suas habilidades no console do Google Cloud

Edder Ramírez

Participante desde 2025

Liga Bronze

2847 pontos
Optimize Agent Behavior Earned Feb 24, 2026 EST
Engineer AI Agents with Agent Development Kit (ADK) Earned Feb 24, 2026 EST
Build Your First Agent with Agent Development Kit (ADK) Earned Feb 17, 2026 EST
Build Agents with Agent Development Kit (ADK) Earned Feb 16, 2026 EST
Guia de estudo para Engenheiro profissional de aprendizado de máquina Earned Nov 14, 2025 EST
Análise de imagens com a API Cloud Vision Earned Jan 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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Este curso ajuda a criar um plano de estudo para o exame de certificação Professional Machine Learning Engineer (PMLE). É possível conferir a amplitude e o escopo dos domínios abordados no exame. Os estudantes também podem acompanhar os preparativos para o exame e criar planos de estudo individuais.

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Ganhe um selo de habilidade ao concluir o curso Análise de imagens com a API Cloud Vision, em que você descobre como usar essa API para várias tarefas, incluindo a extração de texto das imagens.

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