Build Production-Ready Agents on Google CloudBPRAGCGOGoogleGO-BPRAGC1.0<ul>
<li>Reinforce understanding of Google's Agentic Stack.</li><li>Leverage state, memory, and example services for context management in agents</li><li>Gain proficiency in Model Context Protocol (MCP) tool usage and server creation.</li><li>Apply design principles necessary for creating A2A multi-agent solutions.</li><li>Understand Human-Agent interaction patterns and build full, agent-enabled applications.</li></ul><ul>
<li>Completion of <span class="cms-link-marked"><a class="fl-href-prod" href="/swisscom/fr/course/google-dmasadkae"><svg role="img" aria-hidden="true" focusable="false" data-nosnippet class="cms-linkmark"><use xlink:href="/css/img/icnset-linkmarks.svg#linkmark"></use></svg>Deploy Multi-Agent Systems with Agent Development Kit and Agent Engine <span class="fl-prod-pcode">(DMASADKAE)</span></a></span> or equivalent knowledge</li><li>Python</li><li>Prompt engineering</li><li>Agent Development Kit</li></ul><p>Generative AI developers, AI engineers and agentic system architects.</p><h4>Module 1 - Reviewing Google's Agentic Ecosystem</h4><p>
<strong>Topics:</strong>
</p>
<ul>
<li>Agentic stack overview</li><li>Models and the “brain” of the agent</li><li>The Agent Development Kit (ADK)</li><li>Open source libraries and protocols</li><li>Deployment targets</li></ul><h4>Module 2 - Managing Context with Session, Memory, and Examples</h4><p>
<strong>Topics:</strong>
</p>
<ul>
<li>Sessions: Current conversation context</li><li>Memory: Cross-session context</li><li>Example Store: Example database</li></ul><p><strong>Activities:</strong>
</p>
<ul>
<li>Lab: Building an ADK Agent with Session, Memory, and Example Services</li></ul><h4>Module 3 - Leveraging Model Context Protocol (MCP)</h4><p>
<strong>Topics:</strong>
</p>
<ul>
<li>MCP Fundamentals</li><li>Using MCP with ADK</li></ul><p><strong>Activities:</strong>
</p>
<ul>
<li>Lab: Use Model Context Protocol (MCP) Tools with ADK Agents</li></ul><h4>Module 4 - Building Agent2Agent (A2A) Multi-Agent Solutions</h4><p>
<strong>Topics:</strong>
</p>
<ul>
<li>A2A Fundamentals</li><li>Leveraging A2A in ADK</li></ul><p><strong>Activities:</strong>
</p>
<ul>
<li>Lab: Connect to Remote Agents with ADK and the A2A SDK</li></ul><h4>Module 5 - Designing Human-Agent Interactions</h4><p>
<strong>Topics:</strong>
</p>
<ul>
<li>Communicating with agents</li><li>Access control</li><li>Building client experiences</li></ul><p><strong>Activities:</strong>
</p>
<ul>
<li>Lab: Implementing End-User Interfaces for Agents on Google Cloud</li></ul>- Reinforce understanding of Google's Agentic Stack.
- Leverage state, memory, and example services for context management in agents
- Gain proficiency in Model Context Protocol (MCP) tool usage and server creation.
- Apply design principles necessary for creating A2A multi-agent solutions.
- Understand Human-Agent interaction patterns and build full, agent-enabled applications.- Completion of Deploy Multi-Agent Systems with Agent Development Kit and Agent Engine (DMASADKAE) or equivalent knowledge
- Python
- Prompt engineering
- Agent Development KitGenerative AI developers, AI engineers and agentic system architects.Module 1 - Reviewing Google's Agentic Ecosystem
Topics:
- Agentic stack overview
- Models and the “brain” of the agent
- The Agent Development Kit (ADK)
- Open source libraries and protocols
- Deployment targets
Module 2 - Managing Context with Session, Memory, and Examples
Topics:
- Sessions: Current conversation context
- Memory: Cross-session context
- Example Store: Example database
Activities:
- Lab: Building an ADK Agent with Session, Memory, and Example Services
Module 3 - Leveraging Model Context Protocol (MCP)
Topics:
- MCP Fundamentals
- Using MCP with ADK
Activities:
- Lab: Use Model Context Protocol (MCP) Tools with ADK Agents
Module 4 - Building Agent2Agent (A2A) Multi-Agent Solutions
Topics:
- A2A Fundamentals
- Leveraging A2A in ADK
Activities:
- Lab: Connect to Remote Agents with ADK and the A2A SDK
Module 5 - Designing Human-Agent Interactions
Topics:
- Communicating with agents
- Access control
- Building client experiences
Activities:
- Lab: Implementing End-User Interfaces for Agents on Google Cloud1 jour595.00820.00550.00550.00550.00550.00550.00