This course equips business professionals with essential skills for leveraging Gemini Enterprise. It covers generative AI basics, effective prompting, and using Gemini Enterprise for enterprise-wide search and assistance.
The training also details NotebookLM's features for deep insights into proprietary documents and explains different AI agent types, including the Deep Research Agent, and examples of how to create no-code agents with Agent Designer.
8 modules to master the fundamentals
2 Gemini Enterprise demos
3 NotebookLM demos
Demo: Deep Research Agent
Demo: Agent Designer walkthrough
Demo: Single-step agent
Demo: Multi-step agent
Demo: X posts creator agent
Quiz
Accelerate your business outcomes and boost ROI with Cloud Sparks' short, tailored, and interactive training sessions led by Google Cloud experts to solve your team's specific cloud challenges.
This course introduces Gemini Enterprise, a powerful platform that brings together AI agents, enterprise search, NotebookLM, and intelligent data access to solve organizational challenges. Through real-world examples, learners will be able to connect Gemini Enterprise capabilities to real business needs, describe its architecture, and explain how it handles data access and privacy across roles.
This course provides C-suite, board members, and senior leaders with the strategic fluency required to govern, implement, and leverage Artificial Intelligence safely and effectively. It shifts the focus from technical details to strategic oversight, risk management, and achieving a sustainable competitive advantage. Learners will gain a comprehensive understanding of the current AI landscape, the imperative of robust governance, the new security threats posed by generative AI, and frameworks for organizational transformation.
As generative AI becomes more common, the ability to interact with large language models is shifting from niche knowledge to a necessary skill across many different industries and roles. In this course, you will learn the fundamentals of prompting large language models and exploring further techniques for improving the output from large language models.
We regularly organize new sessions. Contact us to find out about upcoming dates or to schedule a session at a date of your choice.
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