The Gemini Horizon Series (GHS) – Contenuti

Contenuti dettagliati del Corso

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