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Duration 14 hours
Course Outline
Foundations of Gemini 3 in Enterprise Applications
- Essential reasoning, planning, and multimodal features
- Key enterprise use cases and value propositions
- Overview of workflow tooling in AI Studio and Vertex AI
Interpreting Multimodal Inputs and Outputs
- Processing text, images, documents, and structured data
- Crafting multimodal prompts and workflows
- Synthesizing modalities to generate deeper insights
Reasoning and Decision Support
- Constructing multi-step reasoning prompts
- Conducting scenario planning and evaluation
- Developing decision-support assistants
Designing Enterprise Workflows in AI Studio
- Project creation and management within AI Studio
- Linking datasets and enterprise content
- Building interactive reasoning workflows
Developing Multimodal Pipelines in Vertex AI
- Utilizing Vertex AI Extensions and agents
- Integrating APIs, tools, and external systems
- Testing and deploying multimodal pipelines
Prompt Engineering for Planning and Execution
- Strategies for structured reasoning prompts
- Iterative prompt refinement and assessment
- Managing ambiguity and complex enterprise tasks
Workflow Automation and Orchestration
- Connecting 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 standards
- Responsible AI policies and safety safeguards
- Managing model oversight and auditability
Summary and Next Steps
Requirements
- A solid grasp of fundamental AI concepts.
- Experience operating cloud-based enterprise platforms.
- Basic knowledge of workflow or process design principles.
Target Audience
- Product Managers
- Knowledge Workers
- Enterprise Architects
Testimonials (1)
Flow , vibe and topic on presentation