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Duration 14 hours
Course Outline
Foundations of Gemini 3 for Enterprise Applications
- Core capabilities in reasoning, planning, and multimodal processing
- Enterprise use cases and primary value drivers
- Overview of workflow tooling in AI Studio and Vertex AI
Understanding Multimodal Inputs and Outputs
- Processing text, images, documents, and structured data
- Developing multimodal prompts and associated workflows
- Combining modalities to generate richer insights
Reasoning and Decision Support
- Constructing multi-step reasoning prompts
- Conducting scenario planning and evaluation
- Designing effective decision-support assistants
Enterprise Workflow Design in AI Studio
- Project creation and management in AI Studio
- Integrating datasets and enterprise content
- 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 creating structured reasoning prompts
- Iterative prompt refinement and evaluation methods
- Addressing ambiguity and complex enterprise tasks
Workflow Automation and Orchestration
- Linking Gemini 3 outputs to business processes
- Designing AI-assisted planning and review cycles
- Developing reusable workflow components
Security, Governance, and Responsible AI Practices
- Data protection and enterprise governance standards
- Implementing responsible AI policies and safeguards
- Managing model oversight and auditability
Summary and Next Steps
Requirements
- Fundamental understanding of core AI concepts
- Experience utilizing cloud-based enterprise tools
- Basic proficiency in workflow or process design
Target Audience
- Product managers
- Knowledge workers
- Enterprise architects
Testimonials (1)
Flow , vibe and topic on presentation