This course provides a comprehensive overview of Google Cloud's agent platforms, including Vertex AI Agent Builder, Gemini Enterprise, Conversational Agents, and the Agent Development Kit. Learners will understand the unique capabilities of each offering, distinguish between the optimal solution for specific use cases, and gain foundational knowledge in creating search and chat applications.



Ce que vous apprendrez
Describe Agentic AI, differentiate it from traditional AI, and explain its benefits and enterprise-level considerations.
Identify and describe the essential components of an AI agent's architecture, including its memory systems and ability to use tools.
Understand the primary Google Cloud services and frameworks used for building, deploying, and managing Agentic AI solutions.
Deploy an agent on Google Cloud and identify key use cases.
Compétences que vous acquerrez
- Catégorie : Prompt Engineering
- Catégorie : Enterprise Security
- Catégorie : Cloud Security
- Catégorie : Artificial Intelligence
- Catégorie : Google Cloud Platform
- Catégorie : LLM Application
- Catégorie : Responsible AI
- Catégorie : Large Language Modeling
- Catégorie : Generative AI Agents
- Catégorie : Google Gemini
Détails à connaître

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novembre 2025
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Il y a 8 modules dans ce cours
This opening module provides a course overview, reviews foundational technical concepts like LLMs, grounding, and RAG, and introduces the central use case that will be referenced in later modules.
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2 plugins
This module explores the concept of AI agents. It also identifies the key Google Cloud platforms for building agents and their overall business impact.
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1 devoir4 plugins
Describe the capabilities of Gemini Enterprise for enterprise employee productivity and distinguish between the different types of agents available within it.
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1 vidéo1 devoir1 élément d'application4 plugins
Differentiate between deterministic, generative, and hybrid conversational agents and apply basic concepts of building conversational AI solutions using Dialogflow CX.
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1 devoir1 élément d'application3 plugins
Build and ground a basic AI agent using Vertex AI Agent Builder and integrate it into a web application.
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1 devoir1 élément d'application4 plugins
Use the Agent Development Kit (ADK) to build and orchestrate multi-agent solutions with fine-grained control and flexibility.
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1 devoir1 élément d'application3 plugins
Explain Google Cloud's enterprise-grade security features for AI agents and describe the processes for authentication, authorization, and deployment.
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1 devoir4 plugins
This course summary outlines what you'll achieve by the end of the course.
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1 plugin
Instructeur

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Foire Aux Questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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