2-Day Instructor-Led Training
Interactive Labs
After-Course Instructor-Coaching Included
#1966
AWS Generative AI Leader
Course 1966
- Duration: 2 days
- Language: English
- Level: Foundation
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.
AWS Generative AI Leader Course Delivery Methods
Online
In-Person
Upskill your whole team by bringing Private Team Training to your facility.
AWS Generative AI Leader Course Information
Upon completing this course, students should be able to:
- 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.
Prerequisites
None.
AWS Generative AI Leader Course Outline
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.
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AWS Generative AI Leader Course FAQs
Gemini • Gemini Advanced • Gemini in Google Workspace • Gemini in Google Cloud • Google Agentspace • NotebookLM • AI Applications • Google AI Studio • Vertex AI • Vertex AI Studio
No, there is no prerequisite knowledge requirement of cloud computing or AI knowledge.
Yes, this course helps prepare for the Generative AI Leader certification.