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:
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.
Training material provided: Yes (Digital format)
Hands-on Lab: Students will use Google Colaboratory (Colab) and/or other means of using Google Cloud Platform
