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Duration 14 hours
Course Outline
Foundations of Gemini 3 for Enterprise Applications
- Core reasoning, planning, and multimodal capabilities
- Key enterprise use cases and value propositions
- Introduction to AI Studio and Vertex AI workflow tools
Handling Multimodal Inputs and Outputs
- Processing text, images, documents, and structured data
- Developing multimodal prompts and integrated workflows
- Synthesizing modalities to generate deeper insights
Reasoning and Decision Support
- Constructing prompts for multi-step reasoning
- Conducting scenario planning and evaluation
- Architecting decision-support assistants
Designing Enterprise Workflows in AI Studio
- Setting up and managing projects in AI Studio
- Linking datasets and enterprise content
- Building interactive reasoning workflows
Developing Multimodal Pipelines in Vertex AI
- Leveraging Vertex AI Extensions and agents
- Integrating APIs, tools, and external systems
- Deploying and validating multimodal pipelines
Prompt Engineering for Planning and Execution
- Strategies for structuring reasoning prompts
- Iterative refinement and prompt evaluation
- Managing ambiguity and complex enterprise tasks
Workflow Automation and Orchestration
- Connecting Gemini 3 outputs to core business processes
- Designing AI-assisted planning and review cycles
- Creating reusable workflow components
Security, Governance, and Responsible AI
- Data protection and enterprise governance standards
- Implementing responsible AI policies and safeguards
- Managing model oversight and ensuring auditability
Summary and Next Steps
Requirements
- Fundamental understanding of core AI concepts
- Hands-on experience with cloud-based enterprise solutions
- Basic knowledge of workflow or process design principles
Target Audience
- Product managers
- Knowledge workers
- Enterprise architects
Testimonials (1)
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