- Date
3 Apr 2025 (THU)
- Time
09:30 – 17:30
(Total 8 training hours)
- Language
Cantonese, Supplemented with English terminology
- Fee
HK$4,500
FREE
Course Information
Course Name: Empower Decision Makers with Generative AI
Certificate: A minimum of 70% attendance rate is required for awarding of a completion certificate
Application Deadline: 7 days before the course
Remark: Please Bring your own laptop (BYOD) to classes.
What Will You Achieve
- Define generative AI and distinguish between generative AI
and other types of AI. - Define the potential personas affected by generative AI
and how they can leverage this new technology. - Gain insights into real-world generative AI use cases across
industries, such as Retail, Automotive, Software Development,
and Financial Services. - Identify and prioritize possible applications in your organization.
- Understand the pillars of Responsible AI and how it relates
to generative AI. - Explain the importance and value of prompt design.
- Design effective prompts following general best practices.
Who Is This Course For?
- Planned to deploy applications and create application environments on Google Cloud
- Developers, systems operations professionals, and solution architects getting started with Google Cloud
- Executives and business decision makers evaluating the potential of Google Cloud to address their business needs
Requirement
- Business leaders wanting to understand transformative AI impact.
- Decision-makers with comprehensive AI knowledge.
Course Outline
- Generative AI vs. AI/ML
- Gen AI Use Cases
- Business Applications of Gen AI
- Personas and products
- Business audience: Workspace
- Consumer AI products vs. Enterprise AI
- General Audience: Vertex AI Studio
- AI Practitioners: Model Garden
• Power Users: Vertex AI Agent Builder
- Common business challenges
- Use cases across different industries
- Use case identification
- Scoping considerations
- Use case prioritization and evaluation
- Data Privacy at Google
- AI and responsibility
- Google’s AI principles
- Responsible AI best practices
- Prompt design vs. prompt engineering
- Zero-shot and few-shot prompting
- Chain of thought prompting
- Overview of additional techniques
