Overview
Lead the Generative AI Revolution: Build Responsible, Strategic Solutions for Real-World Impact
In this course, you will learn to master the foundational concepts, methods, and strategies behind generative AI and machine learning. Understand how to apply these transformative technologies responsibly and safely, while identifying the right use cases that deliver measurable business value. You’ll gain the knowledge to plan, implement, and communicate generative AI initiatives within your organization—empowering you to lead with confidence and innovation. Whether you're shaping strategy or driving execution, this course equips you with the tools to turn AI potential into real-world results. Enroll now and become a catalyst for AI-powered transformation.
Activities
This course includes presentations, hands-on labs, demonstrations, and group exercises.
Course objectives
In this course, you will learn to:
• Summarize generative AI concepts, methods, and strategies
• Discuss the appropriate use of generative AI and machine learning and their technologies
• Describe how to use generative AI responsibly and safely
• Recognize the types of generative AI solutions with specific use cases
• Explain implementation and project planning of generative AI to your organization Intended audience
This course is intended for those with limited prior knowledge of generative AI:
• Business analysts
• IT supports
• Marketing professionals
• Product or project managers
• Line-of-business or IT managers
• Sales professionals
Prerequisites
We recommend that attendees of this course have:
• None
Course outline
Day 1 Module 1: Introducing Generative AI
• Generative AI explained
• Foundation models
• AWS generative AI services
• Demo: Generative AI solution
Module 2: Exploring Generative AI Use Cases
• Identify suitable use cases
• Generative AI applications and use cases
• Explore generative AI use case scenarios
• Use case for class
Module 3: Essentials of Prompt Engineering
• Introduction to prompt engineering
• Prompt design best practices
• Advanced prompting strategies
• Model settings and parameters
• Hands-on Lab: Optimizing Slogan Generation with Amazon Bedrock
Module 4: Responsible AI Principles and Considerations
• Introduction to responsible AI
• Core dimensions of responsible AI
• Generative AI considerations
• Hands-on Lab: Implementing Responsible AI Principles with Amazon Bedrock Guardrails
Module 5: Security, Governance, and Compliance
• Security overview
• Adverse prompts
• Generative AI security services
• Governance
• Compliance
Module 6: Implementing Generative AI Projects
• Introduction – Generative AI application
• Define a use case
• Select a foundational model
• Improve performance
• Evaluate results
• Deploy the application
• Demo: Amazon Q Business
Module 7: Integrating Generative AI into the Development Lifecycle • Introduction
• Hands-on Lab: Capstone – Creating a Project Plan with Generative AI Module 8: Course Wrap-up
• Next steps and additional resources
• Course summary
Highlights
- Build Foundational Knowledge of Generative AI Understand core generative AI concepts, methods, and strategies, and how they differ from traditional machine learning approaches.
- Identify Practical Use Cases and Implementation Strategies Learn how to recognize suitable generative AI solutions for real-world use cases and effectively plan and implement projects within your organization.
- Apply Responsible and Safe AI Practices Gain insights into ethical and responsible use of generative AI technologies, ensuring secure and compliant adoption across business functions.
Details
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