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코스 개요
Foundations of Gemini 3 for Enterprise Applications
- Core reasoning, planning, and multimodal capabilities
- Enterprise use cases and value drivers
- Overview of AI Studio and Vertex AI workflow tooling
Understanding Multimodal Inputs and Outputs
- Working with text, images, documents, and structured data
- Creating multimodal prompts and workflows
- Combining modalities for richer insight generation
Reasoning and Decision Support
- Building multi-step reasoning prompts
- Scenario planning and evaluation
- Designing decision-support assistants
Enterprise Workflow Design in AI Studio
- Creating and managing projects in AI Studio
- Connecting datasets and enterprise content
- Designing interactive reasoning workflows
Building Multimodal Pipelines in Vertex AI
- Using Vertex AI Extensions and agents
- Integrating APIs, tools, and external systems
- Deploying and testing multimodal pipelines
Prompt Engineering for Planning and Execution
- Strategies for structured reasoning prompts
- Iterative prompt refinement and evaluation
- Handling 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
- Responsible AI policies and safeguards
- Managing model oversight and auditability
Summary and Next Steps
요건
- An understanding of core AI concepts
- Experience with cloud-based enterprise tools
- Basic familiarity with workflow or process design
Audience
- Product managers
- Knowledge workers
- Enterprise architects
14 시간
회원 평가 (1)
프레젠테이션의 흐름, 분위기, 주제
Lukasz Kowalczyk - Allegro Sp. z o.o.
코스 - Google Gemini AI for Data Analysis
기계 번역됨
