Course Overview
The Gemini Horizon Series is a comprehensive, multi-module training program designed to help business and power users effectively integrate Gemini Enterprise into their daily operations.
To accommodate varying professional roles and technical requirements, the series is structured modularly. Rather than completing a single rigid curriculum, participants can select the specific modules that align directly with their workflows and functional needs.
Through practical demonstrations and real-world application scenarios, this series covers the practical application of Gemini Enterprise; ranging from structured prompting and internal database search to the design of autonomous, no-code AI agents.
Who should attend
This course is for general knowledge workers and business professionals aiming to transition into Gemini Enterprise power users.
Prerequisites
- Basic Gemini Enterprise knowledge
- Access to Gemini Enterprise
Course Objectives
- Prompting Strategies: Learn to construct structured, explicit prompts using natural language to improve output quality, minimize ambiguity, and reduce the need for iterative corrections.
- Enterprise Productivity: Acquire the skills to securely query and synthesize information from internal platforms and document repositories, utilizing autonomous research capabilities to generate source-grounded, fully cited business summaries.
- Enterprise Agents: Understand how to build custom, no-code AI assistants using natural language instructions, and learn how to orchestrate multiple specialized agents to automate complex, multi-step business processes.
Outline: The Gemini Horizon Series (GHS)
Module 1.1 title Precision prompting
Module 1.1 topics
- 1. The prompt framework
- 2. The framework in context
- 3. Advanced prompt patterns
Module 1.1 objectives
- Design structured prompts that produce consistent and reliable outcomes.
- Evaluate existing prompts using a diagnostic framework to fix inconsistencies.
- Configure reusable Gemini Enterprise skills to apply team-wide best prompts.
- Apply constraint engineering to eliminate output drift between single-use and reliable prompts.
Module 1.1 activities: 3 x demos, 4 x discussions, 1 x quiz
Module 2.1 title Strategic Search With Gemini Enterprise
Module 2.1 topics
- 1. Strategic search sources and depth
- 2. Crafting a search query
- 3. Gemini Enterprise search capabilities
- 4. Evaluating results and fixing common issues
Module 2.1 objectives
- Select the right combination of sources for any given business question.
- Construct specific, research-grade queries for accurate search results.
- Evaluate search results using a structured triangulation method.
Module 2.1 activities: 2x exercise, 1x quiz
Module 2.2 title Deep Research in Gemini Enterprise
Module 2.2 topics
- 1. Deep Research use cases
- 2. Writing a Deep Research brief
- 3. Reviewing the research plan
- 4. Evaluating the output for final deliverable
Module 2.2 objectives
- Determine when to use Deep Research versus standard search based on task complexity.
- Construct a structured research brief using five critical parameters to guide the agent.
- Refine and redirect the agent's research plan before execution begins.
- Verify research citations and add strategic framing to finalize the deliverable.
Module 2.2 activities: 1x demo, 1x quiz
Module 3.1 title Building Your First Agent in Gemini Enterprise Agent Designer
Module 3.1 topics
- 1. Introducing no-code agents on Agent Designer
- 2. Creating an agent on Agent Designer
- 3. Demo: Build a multi-step agent in Agent Designer
- 4. Best practices for creating an agent using prompts
Module 3.1 objectives
- Identify business workflows suitable for agentic automation.
- Create single- and multi-step agents using natural language prompts to orchestrate workflows.
- Edit and test agentic workflows within the Agent Designer interactive canvas
- Apply prompting best practices to create agents that execute business tasks reliably, predictably, and safely.
Module 3.1 activities: 2x demos, 1x quiz
Module 3.2 title Designing multi-agent workflows
Module 3.2 topics
- 1. Design agent teams
- 2. Agent team frameworks
- 3. Design agent teams (in context)
- 4. Monitor and manage agent teams
- 5. To team or not to team
Module 3.2 objectives
- Architect multi-agent teams with clear roles and handoff protocols.
- Select the optimal orchestration pattern: sequential, parallel, or supervisory.
- Design autonomous long-running workflows with Inbox monitoring.
- Evaluate when to use a multi-agent approach versus a single agent.
Module 3.2 activities: 1 x quiz