Description:

This one-day, hands-on course introduces the Gemini Enterprise Platform and the skills needed to design, automate, secure, and deploy enterprise-grade AI solutions. Participants explore the platform’s core components - including agents, enterprise search and grounding, connectors, and NotebookLM - to understand how intelligent, agent-driven applications are built and orchestrated.

Through guided labs and real-world scenarios, learners will build automated workflows, ground agents in enterprise knowledge sources, and use NotebookLM to enhance reasoning and decision support. The course also covers critical security, privacy, and governance capabilities, including access controls, data protection, and policy enforcement for responsible AI use.

Participants will then focus on optimizing agent performance, evaluating workflows, and deploying scalable, production-ready solutions with monitoring and continuous improvement practices. By the end of the course, learners will be prepared to move from experimentation to operationalizing enterprise AI agents and workflows within the Gemini ecosystem.

Duration:

1 Day

Course Code: BDT 621

Learning Objectives:

After this course, you will be able to:

1. Architect: Describe the architecture and core components of the Gemini Enterprise Platform, including agents, search, connectors, and NotebookLM
2. Automate: Build and orchestrate automated workflows using Gemini agents and enterprise data sources
3. Implement: Use NotebookLM to ground agents in organizational knowledge and accelerate reasoning
4. Secure: Apply enterprise‑grade governance, access control, and data‑handling policies within the platform
5. Optimize: Tune agent performance, evaluate workflows, and prepare solutions for enterprise deployment. Tune agent performance, evaluate workflows, and prepare solutions for enterprise deployment
6. Deploy: Package, publish, and operationalize agents and workflows across the enterprise

Data Scientists, Solution Architects, Platform Engineers, Developers, Technical Product Managers, and Enterprise Innovation Teams evaluating or building with Gemini Enterprise capabilities.

Basic understanding of cloud platforms, LLM concepts, and enterprise data workflows. Exposure to Google Cloud fundamentals is recommended but not required.

Course Outline:

1. Gemini Enterprise Platform Architecture & Core Components
   1. Evolution from Vertex AI to Gemini Enterprise
   2. Core Components: AI Agents & Agent framework, Enterprise Search & Data Grounding, NotebookLM integration, Connectors & Workspace integration
   3. Lab: Explore Gemini Enterprise UI and build your first simple agent
2. Automating Workflows with Gemini Agents
   1. Agent Development: Agent Designer (no-code) vs. Agent Development Kit (ADK)
   2. Multi‑step reasoning loops and workflow orchestration
   3. Automation: Trigger‑based and schedule‑based automation
   4. Lab: Build a multi‑step automated workflow using Agent Designer
3. NotebookLM for Enterprise Knowledge Work
   1. What NotebookLM is and how it integrates with Gemini Enterprise
   2. Grounding agents in proprietary documents, datasets, and knowledge bases
   3. Context windows, memory, and retrieval strategies
   4. Lab: Create a NotebookLM project and connect it to an agent
4. Security, Privacy & Governance
   1. Enterprise‑grade privacy: data isolation, no training on customer data
   2. Role‑based access control (RBAC) and data‑access boundaries
   3. Governance policies for agent actions, workflow execution, and data retrieval
   4. Lab: Configure governance policies and test restricted agent behavior
5. Optimization & Deployment
   1. Agent performance tuning: prompts, grounding, memory profiles
   2. Deployment patterns: publishing agents, integrating with applications, scaling
   3. Monitoring, observability, and continuous improvement
   4. Lab: Optimize and deploy an agent end-to-end

Training material provided: Yes (Digital format)

Hands-on Lab: Students will use Google Colaboratory (Colab) and/or other means of using Google Cloud Platform