課程資料
時間表
- 隨時開課
報名日期
全年招生
價錢
-
課程級別
學習模式
修業期
1 日
教學語言
英語
地點
-
2次瀏覽
課程簡介
Overview
In this course, you will take a journey from a broad overview of gen AI to understanding how to leverage gen AI and Google Cloud for organizational transformation.
Skills Covered
- Describe how generative AI transforms organizations across business functions and industries.
- Define core gen AI concepts (artificial intelligence, gen AI, machine learning, etc.).
- Identify the core layers of the gen AI landscape (applications, agents, platforms, models, and infrastructure).
- Explain how you can combine the components of generative AI agents to build powerful solutions.
- Identify Google Cloud products and solutions that support the implementation and scaling of generative AI initiatives.
Target Audience
This course is intended for business professionals of all levels and job roles who want to contribute to their company’s gen AI transformation. For developers and hands-on practitioners, more in-depth technical training for Google Cloud AI/ML products is available in our specialized courses.
課程內容
Course Curriculum
Module 1: Gen AI: Beyond the chatbot
- Discover how generative AI transforms organizations across business functions
- and industries.
- Explore how generative AI uses foundation models and prompt engineering
- to create value.
- Identify Google Cloud’s unique strengths in the field of generative AI.
- Explain the Google-Cloud-recommended steps to successfully implement a transformational gen AI solution.
Module 2: Gen AI: Unlock foundational concepts
- Define core generative AI concepts.
- Explain how data types are used in generative AI for business solutions, innovation,
- and competitive edge.
- Explain the role of foundation models in generative AI.
- Describe the Google-Cloud-recommended strategies for handling LLM limitations.
- Describe the challenges and key factors involved in responsibly and securely
- developing and deploying AI.
Module 3: Gen AI: Navigate the landscape
- Describe the layers of the gen AI landscape.
- Determine strategic entry points within the gen AI landscape to address specific
- business needs and drive innovation.
- Describe the components of the Google Cloud gen AI portfolio.
- Explain how Google Cloud’s AI-optimized resources support gen AI development.
- Describe the business factors to consider when deciding what to use for specific applications.
Module 4: Gen AI apps: Transform your work
- Explain prompt engineering techniques and how they drive better results.
- Develop automated workflows by using generative AI prompt templates and tools.
- Describe the core functionality and business value of using Gemini for Google Workspace.
- Describe the core functionality and business value of using Gemini
- for Google Cloud.
Module 5: Gen AI agents: Transform your organization
- Define the components of generative AI agents and how they work together.
- Explain how you can combine the components of generative AI agents to build
- powerful solutions.
- Describe how you can use Google Cloud’s gen AI products to create generative AI
- agents and solutions.
- Explain how to effectively lead and manage organizational transformation with gen AI.
Exam & Certification
A Generative AI Leader is a visionary professional with comprehensive knowledge of how generative AI (gen AI) can transform businesses. They have business-level knowledge of Google Cloud’s gen AI offerings and understand how Google’s AI-first approach can lead organizations toward innovative and responsible AI adoption. They influence gen AI-powered initiatives and identify opportunities across business functions and industries, using Google Cloud’s enterprise-ready offerings to accelerate innovation.
This certification is for anyone in any job role, with or without hands-on technical experience.
The Generative AI Leader exam assesses your knowledge in these areas:
- Fundamentals of gen AI
- Google Cloud’s gen AI offerings
- Techniques to improve gen AI model output
- Business strategies for a successful gen AI solution
