fr
en
Generative AI Essentials on AWS
AWS offers generative AI services such as Amazon Bedrock, which provides access to foundation models, and Amazon CodeWhisperer, a coding companion. These tools enable organizations to build innovative applications and enhance developer productivity. AWS also provides additional AI services for image analysis, transcription, and more.
This intensive training will give you the practical skills to master the use of generative AI and related AWS services. You will explore real-world use cases, the principles of prompt engineering, and the key considerations for responsible AI. Through hands-on workshops, you will learn how to design effective prompts, evaluate outputs, and plan the implementation of AI projects.
By the end of this one-day program, you will have the expertise to understand and apply artificial intelligence on AWS in a responsible and effective way. You will explore practical use cases, prompt engineering principles, and responsible AI practices in depth.
As a premium Authorized Training Partner (ATP) recognized by Amazon Web Services, Oo2 delivers qualifying and certifying training programs that meet AWS’s rigorous quality standards.
Targets
By the end of the Generative AI Essentials on AWS training, you will be able to:
- Understand the core concepts, methods, and strategies of generative AI
- Select the right generative AI and machine learning tools for specific tasks
- Apply generative AI in a responsible and safe way
- Identify appropriate generative AI solutions for specific use cases
- Explain how to implement and plan generative AI projects within an organization
- Effectively prepare for the AWS AI Practitioner – Foundational certification exam
Program
Module 1: Introduction to Generative AI
- Fundamentals of generative AI
- Foundation models
- Generative AI services on AWS
- Overview of different generative AI tools
Module 2: Exploring Generative AI Use Cases
- Identifying appropriate use cases
- Applications and use cases of generative AI
- Generative AI scenario examples
Case Study:
- Analysis and discussion of a real-world generative AI use case
Module 3: Understanding Prompt Engineering Basics
- Fundamentals of prompt engineering
- Best practices for prompt design
- Advanced prompting strategies
- Model parameters
Lab:
- Optimize slogan generation with Amazon Bedrock
Module 4: Applying Responsible AI Practices
- Fundamentals of responsible AI
- Key considerations for generative AI
Lab:
- Apply responsible AI principles using Amazon Bedrock guardrails
Module 5: Understanding Security, Governance, and Compliance
- Fundamentals of security
- Managing undesirable prompts
- Security of generative AI services
- Fundamentals of governance
- Fundamentals of compliance
Module 6: Implementing Generative AI Projects
- Fundamentals of applying generative AI
- Defining a use case
- Selecting a foundation model
- Enhancing performance
- Evaluating results
- Deploying the application
- Introduction to Amazon Q Business assistant
Module 7: Integrating AI into the Development Lifecycle
- Fundamentals of integration
Lab:
- Create a project plan with generative AI
Module 8: Course Conclusion
- Review of key learning points
- Overview of AWS certification levels
Prerequisites
There are no prerequisites for attending this AWS training.
Public
This training is intended for the following audiences:
- Business analysts interested in understanding generative AI applications
- IT support technicians who want to become familiar with generative AI tools
- Marketing and sales professionals looking to explore generative AI in their campaigns
- Product or project managers seeking to integrate generative AI into their projects
- IT leaders who want to evaluate the potential of generative AI
Strong points
- Expert Instructors: Benefit from the expertise of skilled trainers with in-depth knowledge of generative AI concepts, methods, and strategies, as well as the associated AWS services.
- Interactive Hands-On Learning: Master generative AI tools and techniques on AWS through real-world demonstrations, hands-on labs, and group exercises. You will be prepared to explore real use cases and plan the implementation of generative AI solutions.
- Key Skills Acquisition: The training content is carefully designed to help you gain essential skills in understanding generative AI principles, applying responsible practices, identifying appropriate solutions, and planning generative AI projects.
Certification
This training provides intensive preparation for the AWS Certified AI Practitioner – Foundational exam. At the end of the course, you will receive a voucher code to schedule your exam.
AWS AIF-C01 Exam Details:
- Format: Multiple-choice, 65 questions
- Duration: 90 minutes
- Delivery: Pearson VUE testing centers or AWS online proctoring platform
- Languages available: English, Japanese, Korean, Portuguese, and Chinese
- Passing score: Minimum of 700 points
Upon passing the exam, you will earn the AWS Certified AI Practitioner – Foundational certification and receive a digital badge.
Important to know: The AWS AI Practitioner – Foundational certification is valid for three years and requires recertification. Learn more about AWS certification renewal.
Targets
By the end of the Generative AI Essentials on AWS training, you will be able to:
- Understand the core concepts, methods, and strategies of generative AI
- Select the right generative AI and machine learning tools for specific tasks
- Apply generative AI in a responsible and safe way
- Identify appropriate generative AI solutions for specific use cases
- Explain how to implement and plan generative AI projects within an organization
- Effectively prepare for the AWS AI Practitioner – Foundational certification exam
Program
Module 1: Introduction to Generative AI
- Fundamentals of generative AI
- Foundation models
- Generative AI services on AWS
- Overview of different generative AI tools
Module 2: Exploring Generative AI Use Cases
- Identifying appropriate use cases
- Applications and use cases of generative AI
- Generative AI scenario examples
Case Study:
- Analysis and discussion of a real-world generative AI use case
Module 3: Understanding Prompt Engineering Basics
- Fundamentals of prompt engineering
- Best practices for prompt design
- Advanced prompting strategies
- Model parameters
Lab:
- Optimize slogan generation with Amazon Bedrock
Module 4: Applying Responsible AI Practices
- Fundamentals of responsible AI
- Key considerations for generative AI
Lab:
- Apply responsible AI principles using Amazon Bedrock guardrails
Module 5: Understanding Security, Governance, and Compliance
- Fundamentals of security
- Managing undesirable prompts
- Security of generative AI services
- Fundamentals of governance
- Fundamentals of compliance
Module 6: Implementing Generative AI Projects
- Fundamentals of applying generative AI
- Defining a use case
- Selecting a foundation model
- Enhancing performance
- Evaluating results
- Deploying the application
- Introduction to Amazon Q Business assistant
Module 7: Integrating AI into the Development Lifecycle
- Fundamentals of integration
Lab:
- Create a project plan with generative AI
Module 8: Course Conclusion
- Review of key learning points
- Overview of AWS certification levels
Prerequisites
There are no prerequisites for attending this AWS training.
Public
This training is intended for the following audiences:
- Business analysts interested in understanding generative AI applications
- IT support technicians who want to become familiar with generative AI tools
- Marketing and sales professionals looking to explore generative AI in their campaigns
- Product or project managers seeking to integrate generative AI into their projects
- IT leaders who want to evaluate the potential of generative AI
Strong points
- Expert Instructors: Benefit from the expertise of skilled trainers with in-depth knowledge of generative AI concepts, methods, and strategies, as well as the associated AWS services.
- Interactive Hands-On Learning: Master generative AI tools and techniques on AWS through real-world demonstrations, hands-on labs, and group exercises. You will be prepared to explore real use cases and plan the implementation of generative AI solutions.
- Key Skills Acquisition: The training content is carefully designed to help you gain essential skills in understanding generative AI principles, applying responsible practices, identifying appropriate solutions, and planning generative AI projects.
Certification
This training provides intensive preparation for the AWS Certified AI Practitioner – Foundational exam. At the end of the course, you will receive a voucher code to schedule your exam.
AWS AIF-C01 Exam Details:
- Format: Multiple-choice, 65 questions
- Duration: 90 minutes
- Delivery: Pearson VUE testing centers or AWS online proctoring platform
- Languages available: English, Japanese, Korean, Portuguese, and Chinese
- Passing score: Minimum of 700 points
Upon passing the exam, you will earn the AWS Certified AI Practitioner – Foundational certification and receive a digital badge.
Important to know: The AWS AI Practitioner – Foundational certification is valid for three years and requires recertification. Learn more about AWS certification renewal.
AWS, Amazon Bedrock, Amazon Q Business, and other AWS marks are trademarks of Amazon.com, Inc. or its affiliates.