AI Agent Essentials on Google Cloud

AI Agent Essentials on Google CloudAAEGCGOGoogleGO-AAEGC1.0<ul> <li>Distinguish between "Librarian" (Stage 2) and "Chief of Staff" (Stage 3) AI agents.</li><li>Direct the construction of functional, grounded agents using the Agentic Build Loop.</li><li>Implement Human-in-the-Loop oversight models to manage business risk.</li><li>Drive responsible agentic transformation and scale departmental capacity.</li></ul><ul> <li>A basic understanding of Generative AI: Knowing the difference between a simple "one-off" prompt and a continuous conversation with AI.</li><li>Deep knowledge of your own business processes: Being able to clearly describe the step-by-step path a task takes through your department.</li></ul>Helpful to be familiar with: <ul> <li>Identifying "Manual Toil": Spotting the specific, repetitive tasks that act as bottlenecks in your team's daily schedule.</li><li>The "Director" Mindset: A willingness to shift from "doing the work yourself" to "defining the rules" for a digital collaborator.</li></ul><ul> <li>Department Heads: Need to grow their team’s impact without the burnout of increasing headcount. They will learn to oversee digital "Chiefs of Staff" to reclaim their work week and focus on high-level strategy.</li><li>Change Agents: Responsible for fixing the clunky, repetitive tasks that slow everyone down. They will learn how to use the Agentic Build Loop to transform "Manual Toil" into smooth, automated workflows.</li><li>Strategic Architects: Need to understand how to turn business rules into reliable AI actions. They will gain the skills to design secure "Playbooks" and human safety checks to ensure every agent stays on track and protects the company's data.</li></ul><h4>Module 1 - Foundations of Agentic AI</h4> Topics: <ul> <li>1. You Already Know Agents</li><li>2. What Is an AI Agent, Really?</li><li>3. The Models Behind the Agents</li></ul>Objectives: <ul> <li>Recognize that AI agents are already embedded in everyday personal and professional life.</li><li>Define an AI agent in non-technical language and distinguish it from chatbots and automation.</li><li>Explain the AI models that power agents and why the model is not the agent.</li></ul>Activities: <ul> <li>1 discussion</li></ul><h4>Module 2 - Building & Deploying Agents</h4> Topics: <ul> <li>1. The Build Spectrum</li><li>2. Building an Enterprise AI Agent</li><li>3. The Decision Framework</li></ul>Objectives: <ul> <li>Identify the spectrum of agent-building approaches and the trade-offs of each.</li><li>Build a functional Enterprise AI Agent in Gemini Enterprise to solve a business problem.</li><li>Determine which build approach fits a given use case, skill level, and organizational context.</li></ul>Activites: <ul> <li>1 live demo</li></ul><h4>Module 3 - Security, Resilience & Oversight</h4> Topics: <ul> <li>1. When Agents Go Wrong</li><li>2. Keeping Agents in Check</li><li>3. Resilience & Security</li></ul>Objectives: <ul> <li>Identify specific failure modes and assess the potential business impact.</li><li>Apply human oversight models (HITL/HOTL) appropriate to the risk level.</li><li>Describe the controls and resilience strategies required for enterprise deployments.</li></ul><h4>Module 4 - Governance & The Agentic Future</h4> Topics: <ul> <li>1. Governing AI Agents at Scale</li><li>2. Speaking the Language</li><li>3. Your 30-Day Action Plan</li></ul>Objectives: <ul> <li>Articulate the principles and structures needed to govern agentic AI across an enterprise.</li><li>Communicate confidently about AI agents with stakeholders.</li><li>Synthesize an actionable personal plan for agentic use and advocacy.</li></ul>Activities: <ul> <li>1 activity</li></ul><h5>Module 5 - Summary and Quiz</h5> Topics: <ul> <li>Review of Core Concepts</li></ul>Objectives: <ul> <li>Evaluate understanding of core course concepts through scenario-based questions.</li></ul>Activities: <ul> <li>5 scenario-based multiple choice questions</li></ul>- Distinguish between "Librarian" (Stage 2) and "Chief of Staff" (Stage 3) AI agents. - Direct the construction of functional, grounded agents using the Agentic Build Loop. - Implement Human-in-the-Loop oversight models to manage business risk. - Drive responsible agentic transformation and scale departmental capacity.- A basic understanding of Generative AI: Knowing the difference between a simple "one-off" prompt and a continuous conversation with AI. - Deep knowledge of your own business processes: Being able to clearly describe the step-by-step path a task takes through your department. Helpful to be familiar with: - Identifying "Manual Toil": Spotting the specific, repetitive tasks that act as bottlenecks in your team's daily schedule. - The "Director" Mindset: A willingness to shift from "doing the work yourself" to "defining the rules" for a digital collaborator.- Department Heads: Need to grow their team’s impact without the burnout of increasing headcount. They will learn to oversee digital "Chiefs of Staff" to reclaim their work week and focus on high-level strategy. - Change Agents: Responsible for fixing the clunky, repetitive tasks that slow everyone down. They will learn how to use the Agentic Build Loop to transform "Manual Toil" into smooth, automated workflows. - Strategic Architects: Need to understand how to turn business rules into reliable AI actions. They will gain the skills to design secure "Playbooks" and human safety checks to ensure every agent stays on track and protects the company's data.Module 1 - Foundations of Agentic AI Topics: - 1. You Already Know Agents - 2. What Is an AI Agent, Really? - 3. The Models Behind the Agents Objectives: - Recognize that AI agents are already embedded in everyday personal and professional life. - Define an AI agent in non-technical language and distinguish it from chatbots and automation. - Explain the AI models that power agents and why the model is not the agent. Activities: - 1 discussion Module 2 - Building & Deploying Agents Topics: - 1. The Build Spectrum - 2. Building an Enterprise AI Agent - 3. The Decision Framework Objectives: - Identify the spectrum of agent-building approaches and the trade-offs of each. - Build a functional Enterprise AI Agent in Gemini Enterprise to solve a business problem. - Determine which build approach fits a given use case, skill level, and organizational context. Activites: - 1 live demo Module 3 - Security, Resilience & Oversight Topics: - 1. When Agents Go Wrong - 2. Keeping Agents in Check - 3. Resilience & Security Objectives: - Identify specific failure modes and assess the potential business impact. - Apply human oversight models (HITL/HOTL) appropriate to the risk level. - Describe the controls and resilience strategies required for enterprise deployments. Module 4 - Governance & The Agentic Future Topics: - 1. Governing AI Agents at Scale - 2. Speaking the Language - 3. Your 30-Day Action Plan Objectives: - Articulate the principles and structures needed to govern agentic AI across an enterprise. - Communicate confidently about AI agents with stakeholders. - Synthesize an actionable personal plan for agentic use and advocacy. Activities: - 1 activity Module 5 - Summary and Quiz Topics: - Review of Core Concepts Objectives: - Evaluate understanding of core course concepts through scenario-based questions. Activities: - 5 scenario-based multiple choice questions3 heures350.00485.00300.00300.00300.00300.00300.00