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Python ProgrammingGenerative AI Essentials on AWS
Learn the power of Generative AI from an AWS instructor
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Course : Generative AI Essentials on AWS
Level : Fundamental
Type : Live online or Classroom
Length :1 day
Explore the world of generative AI in this one-day course tailored for business professionals and IT specialists. With hands-on labs, demos, and group exercises, you'll learn prompt engineering, responsible AI principles, and secure project implementation. By the end, you'll confidently discuss AI strategies, optimize slogan generation, create project plans, and integrate AI into your organization’s development.
Business analysts
IT supports
Sales or Marketing professionals
Product or project managers
Line-of-business or IT managers
Understanding of AWS
Discuss the appropriate use of generative AI and machine learning and their technologies
Summarize generative AI concepts, methods, and strategies
Recognize the types of generative AI solutions with specific use cases
Explain implementation and project planning of generative AI to your organization
And more
Instructor-led Virtual online live Training.
Weekend Classes
Evening Classes
Weekdays Classes
Course Outline
Module 1: Introduction to 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
Best Value offer
Official Courseware
Instructor-led live online / Classroom
Flexible Schedule
Course Completion Certification
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