Detailed Course Outline
Module 1 - Foundations of enterprise AI
Topics:
- The enterprise AI integration imperative
- What do we mean by 'enterprise AI'?
- Agentic AI and capabilities of agents
Objectives:
- N/A
Activities:
- N/A
Module 2 - Google Cloud enterprise AI ecosystem
Topics:
- The Google Cloud AI advantage
- The foundation layer: Gemini models and capabilities
- The application layer: Daily tools and research assistance
- The customization layer: Vertex AI Agent Builder
- The trust layer: Security and governance
Objectives:
- Map Google Cloud AI tools to high-value use cases.
Activities:
- 5x demos
Module 3 - Enterprise AI integration patterns
Topics:
- Integration strategy and unified interface
- Integration patterns
- API strategy
- Integration security and governance
Objectives:
- Design basic AI integration patterns.
Activities:
- N/A
Module 4 - Enterprise AI implementation
Topics:
- Steps to build an enterprise AI integration strategy
- Defining business goals and identifying high-impact use cases
- Assessing data readiness and choosing technology
- Establishing governance and developing AI
- Managing organizational change and building an AI culture
Objectives:
- Map Google Cloud AI tools to high-value use cases.
- Develop an AI implementation roadmap.
Activities:
- N/A
Module 5 - Summary and quiz
Topics:
- Summary of key concepts
Objectives:
- Review key learnings and assess knowledge retention.
Activities:
- 1x quiz (3 questions)
Module 6 - Appendix
Topics:
- Cymbal companies overview
- Industry spotlight: Agent capabilities
- Industry spotlight: Integration patterns
Objectives:
- N/A
Activities:
- N/A