Menjadi anggota sejak 2026
Serverless Data Processing with Dataflow: Foundations
Earned Apr 26, 2026 EDT
Men-deploy Agen Pertama Anda
Earned Apr 6, 2026 EDT
Orchestrate Complex Multi-Agent Workflows
Earned Apr 6, 2026 EDT
Coordinate Multiple Agents
Earned Apr 6, 2026 EDT
Build a Certification Study Guide: PDE Exam Prep
Earned Apr 5, 2026 EDT
This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.
Kursus ini mengajarkan cara men-deploy agen ADK ke Vertex AI Agent Engine dan Cloud Run, dengan memori lintas sesi opsional melalui Memory Bank.
Learn to orchestrate complex multi-agent workflows. This lesson teaches you to choose the right workflow patterns, manage state across agents, understand when custom logic is needed, and introduces distributed agent systems with A2A Protocol.
Learn to coordinate multiple specialized agents working together. This lesson teaches you when to use multi-agent systems, how to orchestrate agents with workflow patterns, and how agents communicate through shared state. By the end, you’ll build a complete multi-agent application.
Learn how to use Gemini Notebook to create a personalized study guide for the Professional Data Engineer certification exam. You'll review Gemini Notebook features, create a notebook in Gemini Notebook, and learn how to use a study guide to practice for a certification exam.