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Python ProgrammingGenerative AI Essentials on AWS
Learn the power of Generative AI from an AWS instructor
Demand for AI Skills
Learning AI equips executives with the skills to navigate and lead in an increasingly digital business landscape.
Hands-On Learning
Understanding AI allows you to leverage technology to stay ahead of competitors and adapt to market changes.
Learn from AWS Experts
Learning AI equips executives with the skills to navigate and lead in an increasingly digital business landscape.
- Instructor-led
- AWS Official Courseware
- Flexible Schedule
- Guaranteed To Run
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
US$ 589
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Successfully pass the AIF-C01 in the first attempt
Knowledge Check
Question 1: Which AWS service is best suited for running large-scale distributed training of machine learning models?
- Amazon Polly
- AWS Batch
- Amazon SageMaker Training Jobs
- AWS Glue
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