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Course Outline

Foundations of Gemini 3 for Enterprise Applications

  • Core reasoning, planning, and multimodal capabilities
  • Key enterprise use cases and value drivers
  • Overview of workflow tooling in AI Studio and Vertex AI

Understanding Multimodal Inputs and Outputs

  • Working effectively with text, images, documents, and structured data
  • Crafting multimodal prompts and corresponding workflows
  • Combining different modalities to generate richer insights

Reasoning and Decision Support

  • Constructing multi-step reasoning prompts
  • Scenario planning and evaluation techniques
  • Designing decision-support assistants

Enterprise Workflow Design in AI Studio

  • Creating and managing projects within AI Studio
  • Connecting datasets and enterprise content sources
  • Designing interactive reasoning workflows

Building Multimodal Pipelines in Vertex AI

  • Utilizing Vertex AI Extensions and agents
  • Integrating APIs, tools, and external systems
  • Deploying and testing multimodal pipelines

Prompt Engineering for Planning and Execution

  • Strategies for developing structured reasoning prompts
  • Iterative prompt refinement and evaluation methods
  • Managing ambiguity and handling complex enterprise tasks

Workflow Automation and Orchestration

  • Linking Gemini 3 outputs to business processes
  • Designing AI-assisted planning and review cycles
  • Creating reusable workflow components

Security, Governance, and Responsible AI Practices

  • Data protection and enterprise governance frameworks
  • Implementing responsible AI policies and safeguards
  • Managing model oversight and ensuring auditability

Summary and Next Steps

Requirements

  • A foundational understanding of core AI concepts
  • Prior experience with cloud-based enterprise tools
  • Basic familiarity with workflow or process design methodologies

Target Audience

  • Product managers
  • Knowledge workers
  • Enterprise architects
 14 Hours

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