Jawad Ul Hadi
Date d'abonnement : 2025
Ligue de Diamant
9012 points
Model Armor: Securing AI Deployments
Earned oct. 5, 2026 EDT
Google Cloud Agent Governance and Security
Earned oct. 5, 2026 EDT
Build Your First Agent with Agent Development Kit (ADK)
Earned oct. 5, 2026 EDT
Secure Enterprise AI Agents
Earned oct. 5, 2026 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned oct. 5, 2026 EDT
Introduction to Large Language Models
Earned oct. 5, 2026 EDT
Introduction to Generative AI
Earned oct. 5, 2026 EDT
Optimize Agent Behavior
Earned oct. 5, 2026 EDT
Build Agent Skills with Google
Earned oct. 5, 2026 EDT
Gen AI Apps: Transform Your Work
Earned oct. 5, 2026 EDT
Gen AI: Navigate the Landscape
Earned oct. 5, 2026 EDT
Orchestrate Multi-agent Workflows with Gemini Enterprise
Earned oct. 5, 2026 EDT
Human-Centered AI
Earned oct. 5, 2026 EDT
Gen AI: Unlock Foundational Concepts
Earned oct. 5, 2026 EDT
Gen AI Agents: Transform Your Organization
Earned oct. 5, 2026 EDT
Deploy Your First Agent
Earned oct. 5, 2026 EDT
Create Your First Gemini Enterprise Application
Earned août 27, 2026 EDT
Enterprise Agents and Use Cases
Earned août 27, 2026 EDT
Agent Fundamentals
Earned août 27, 2026 EDT
Build Collaborative Multi-Agent Systems with ADK & MCP
Earned août 20, 2026 EDT
Build and Deploy Agents in Production
Earned août 19, 2026 EDT
Gen AI: Beyond the Chatbot
Earned août 18, 2026 EDT
This course reviews the essential security features of Model Armor and equips you to work with the service. You’ll learn about the security risks associated with LLMs and how Model Armor protects your AI apps. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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As enterprise teams transition to autonomous AI agents, security evolves toward proactive, identity-centric protection. In this course, you will implement a zero-trust security architecture for Cymbal Banking's underwriting platform using the Gemini Enterprise Agent Platform. By deploying a regional Egress Agent Gateway, configuring Model Armor and Semantic Governance (SGP) safety templates, assigning cryptographic SPIFFE identities to agent runtimes, and declaring a VPC-SC perimeter in Terraform, you will protect database boundaries and manage tools with production-grade governance.
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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.Explore other content in the Gemini Enterprise Agent Ready (GEAR) program
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Learn how to secure and govern AI agents on Google Cloud. This course provides a practical roadmap to securing agent memory, enforcing strict access controls with IAM and VPC Service Controls, and deploying real-time conversation guardrails to ensure safe, compliant enterprise deployments. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you.
In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.
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This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
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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.
Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
Join the community forum for questions and discussions
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Close the gap between general AI capabilities and your domain knowledge through Agent Skills. This course walks you through the full lifecycle of custom skill building, from local scaffolding and testing to enterprise scaling and sharing using Google's agent ecosystem, including Google Antigravity, ADK, and Skill Registry. Additionally, you use Google Agents CLI toolkit to attach skills to standalone 24/7 cloud agents, equipping your team with reliable, autonomous digital coworkers.
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Transform Your Work With Gen AI Apps is the fourth course of the Gen AI Leader learning path. This course introduces Google’s gen AI applications, such as Google Workspace with Gemini and Gemini Notebook. It guides you through concepts like grounding, retrieval augmented generation, constructing effective prompts and building automated workflows.
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Gen AI: Navigate the Landscape is the third course of the Gen AI Leader learning path. Gen AI is changing how we work and interact with the world around us. But as a leader, how can you harness its power to drive real business outcomes? In this course, you explore the different layers of building gen AI solutions, Google Cloud’s offerings, and the factors to consider when selecting a solution.
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Complete the introductory Orchestrate Multi-Agent Workflows with Gemini Enterprise skill badge to demonstrate skills in the following: using agentic assistants powered by Gemini Enterprise to unify data across first- and third-party sources, develop multimedia marketing materials, and automate business actions across systems.
Skill badges validate your practical knowledge on specific products through hands-on labs and challenge assessments. Earn a badge by completing a course or jump straight into the challenge lab to get your badge today. Badges prove your proficiency, enhance your professional profile, and ultimately lead to increased career opportunities. Visit your profile to track badges you’ve earned. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Explore the vital transition from task-driven workflows to human-centric AI orchestration. You will learn to strategically distinguish between augmentation and automation, and how to balance machine efficiency with human intuition.
Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Gen AI: Unlock Foundational Concepts is the second course of the Gen AI Leader learning path. In this course, you unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI, and understanding how various data types enable generative AI to address business challenges. You also gain insights into Google Cloud strategies to address the limitations of foundation models and the key challenges for responsible and secure AI development and deployment.
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Gen AI Agents: Transform Your Organization is the fifth and final course of the Gen AI Leader learning path. This course explores how organizations can use custom gen AI agents to help tackle specific business challenges. You gain hands-on practice building a basic gen AI agent, while exploring the components of these agents, such as models, reasoning loops, and tools. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Take your agents from localhost to production. This course teaches you to deploy ADK agents to Agent Runtime and Cloud Run, with optional cross-session memory via Memory Bank.
Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
Join the community forum for questions and discussions
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Create your first Gemini Enterprise application to earn a skill badge! Connect diverse data sources to your application to build a powerful, unified search and analysis engine. Master advanced capabilities like deep research agents, multi-agent ideation, and Gemini Notebook for focused analysis. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Discover how AI agents drive business impact. You’ll map agent types to your KPIs and explore use cases that solve real bottlenecks. Then, learn how Gemini Enterprise empowers you to build and orchestrate the right agents—from no-code to high-code solutions. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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This course introduces the fundamentals of AI agents and explores where agents add value in the real world. It provides a foundation for developers, architects, and technical decision-makers who want to understand AI systems through the lens of autonomous, goal-directed behavior.
Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Learn to design, coordinate, and deploy multi-agent systems using Google’s Agent Development Kit (ADK) and the Model Context Protocol (MCP). Using a travel concierge example, you'll learn to orchestrate a network of specialized agents with custom guardrails. By the end of the course, you'll understand the design patterns and deployment strategies required for robust, scalable AI workflows. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Explore the architecture and deployment of multi-agent systems using Google’s Agent Development Kit (ADK) and Google Cloud’s robust infrastructure. You will learn to design hierarchical agent trees and deterministic workflow agents while identifying the ideal hosting environment—from serverless Cloud Run to high-performance GKE—to ensure your AI agents are secure, scalable, and production-ready. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Gen AI: Beyond the Chatbot is the first course of the Gen AI Leader learning path and has no prerequisites. This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization. You explore concepts like foundation models and prompt engineering, which are crucial for leveraging the power of gen AI. The course also guides you through important considerations you should make when developing a successful gen AI strategy for your organization.
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