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In this course, you will learn the basic concepts, methods and strategies for using generative AI. You will gain a solid understanding of use cases where generative AI can provide solutions and fulfill business requirements. You will also gain practical insights into the underlying technologies of generative AI and how you can use them to solve real-world problems. At the end of the course, you will engage in project planning and learn how to discuss the implementation of generative AI in your organization.
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Course Contents
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- Summarize concepts, methods and strategies of generative AI 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 the implementation and project planning of generative AI for your organization.
This course includes presentations, hands-on exercises, demonstrations and group exercises.
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Target Group
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This course is aimed at people with limited prior knowledge of generative AI:
- Business analysts
- IT supporters
- Marketing professionals
- Product or project managers
- Business unit managers or IT managers
- Sales professionals
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Knowledge Prerequisites
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No previous knowledge of cloud computing or AWS is required.
| Introducing Generative AI |
| Generative AI explained |
| Foundation models |
| AWS generative AI services |
| Demo: Generative AI solution |
| 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 |
| 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 |
| 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 |
| Security, Governance, and Compliance |
| Security overview |
| Adverse prompts |
| Generative AI security services |
| Governance |
| Compliance |
| 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 |
| Integrating Generative AI into the Development Lifecycle |
| Introduction |
| Hands-on Lab: Capstone – Creating a Project Plan with Generative AI |
| Course Wrap-up |
| Next steps and additional resources |
| Course summary |
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Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
-
Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
-
Tailor-made courses
-
You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
You can find the complete description of this course with dates and prices ready for download at as PDF.-
In this course, you will learn the basic concepts, methods and strategies for using generative AI. You will gain a solid understanding of use cases where generative AI can provide solutions and fulfill business requirements. You will also gain practical insights into the underlying technologies of generative AI and how you can use them to solve real-world problems. At the end of the course, you will engage in project planning and learn how to discuss the implementation of generative AI in your organization.
-
Course Contents
-
- Summarize concepts, methods and strategies of generative AI 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 the implementation and project planning of generative AI for your organization.
This course includes presentations, hands-on exercises, demonstrations and group exercises.
-
Target Group
-
This course is aimed at people with limited prior knowledge of generative AI:
- Business analysts
- IT supporters
- Marketing professionals
- Product or project managers
- Business unit managers or IT managers
- Sales professionals
-
Knowledge Prerequisites
-
No previous knowledge of cloud computing or AWS is required.
| Introducing Generative AI |
| Generative AI explained |
| Foundation models |
| AWS generative AI services |
| Demo: Generative AI solution |
| 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 |
| 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 |
| 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 |
| Security, Governance, and Compliance |
| Security overview |
| Adverse prompts |
| Generative AI security services |
| Governance |
| Compliance |
| 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 |
| Integrating Generative AI into the Development Lifecycle |
| Introduction |
| Hands-on Lab: Capstone – Creating a Project Plan with Generative AI |
| Course Wrap-up |
| Next steps and additional resources |
| Course summary |
-
Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
-
Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
-
Tailor-made courses
-
You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
You can find the complete description of this course with dates and prices ready for download at as PDF.