1-Day Instructor-Led Training
Hands On Labs
After-Course Instructor-Coaching Included
#9097
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Jul 8 9:00 AM - 4:30 PM EDTVirtual
Special Engagement - Generative AI Essentials on AWS
Course 9097
- Duration: 1 day
- Language: English
- Level: Foundation
In this course, you will learn about the fundamental concepts, methods, and strategies for using generative AI. You will gain a solid understanding of use cases where generative AI can provide solutions and address business needs. Additionally, you will learn about practical insights into technologies related to generative AI and how you can use those technologies to solve real-world problems. By the end of the course, you will explore project planning and how to discuss implementation of generative AI in your organization.
Generative AI Essentials on AWS Delivery Methods
Online
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Generative AI Essentials on AWS Course Information
Upon completing this course, students should be able 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.
Prerequisites
None.
Generative AI Essentials on AWS
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
Questions about this course?
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Generative AI Essentials on AWS FAQs
The course introduces key AWS services used in generative AI, including:
- Amazon Bedrock – Building and deploying generative AI applications
- AWS SageMaker – Training and deploying AI models
- Amazon Lex – Conversational AI for chatbots
- AWS Lambda & API Gateway – Integrating AI into cloud applications
No, this is a beginner-friendly course that focuses on AWS services and concepts. However, some hands-on exercises may include code examples, and familiarity with Python or cloud-based AI tools can be helpful.
Yes, this course helps build foundational knowledge for the AI Practitioner - Foundational certification.