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Course Contents
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This one-day instructor-led training (ILT) course allows you to assess and improve your readiness for the AWS Certified AI Practitioner (AIF-C01) certification exam.
The certification exam validates sought-after knowledge of artificial intelligence (AI), machine learning (ML), and generative AI concepts and their use cases.
This intermediate-level course comprehensively prepares you for the AWS Certified AI Practitioner (AIF-C01) exam. You will gain a detailed overview of all relevant exam content and learn how to apply it in the context of developing AI and ML solutions on the AWS platform.
Through detailed explanations and the analysis of exam-like sample questions, you will consolidate your knowledge, identify any gaps in your understanding, and develop strategies for solving questions effectively.
The course also includes a targeted review of exam-like sample questions to identify typical sources of error and improve your exam technique.
By the end of the course, you will have a solid understanding of the theoretical concepts and their practical application—exactly what you need to successfully pass the AWS Certified AI Practitioner (AIF-C01) exam.
This course includes presentations on the topic, exam-like questions, use cases, and group discussions and activities.
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Target Group
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This course is intended for individuals preparing for the AWS Certified AI Practitioner (AIF-C01) exam
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Knowledge Prerequisites
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You do not need to complete any specific training before attending this course. However, the following prior knowledge is recommended before taking the AWS Certified AI Practitioner (AIF-C01) exam:
- Familiarity with the AWS core services (e.g. Amazon EC2, Amazon S3, AWS Lambda and Amazon SageMaker AI) and the use cases of the AWS core services.
- You should have up to 6 months of experience with AI and ML technologies on AWS.</li
- You are familiar with solutions that use AI and ML technologies on AWS, but do not necessarily build them.</li
- Familiarity with the AWS model of shared responsibility for security and compliance in the AWS cloud.</li
- Familiarity with AWS Identity and Access Management (IAM) to secure and control access to AWS resources.
- Familiarity with the global AWS infrastructure, including the concepts of AWS regions, availability zones and edge locations.</li
- Familiarity with the pricing models for AWS services.
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Course Objective
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In this course you will learn:
- Identify the scope and content of the AWS Certified AI Practitioner (AIF-C01) exam.
- Practice exam-like questions and evaluate your preparation strategy.
- Examine use cases and differentiate between them.</li
| Fundamentals of AI and ML |
| Explain basic AI concepts and terminologies |
| Identify practical use cases for AI |
| Describe the ML development lifecycle |
| Fundamentals of Generative AI |
| Explain the basic concepts of generative AI |
| Understand the capabilities and limitations of generative AI for solving business problems |
| Describe AWS infrastructure and technologies for building generative AI applications |
| Applications of Foundation Models |
| Describe design considerations for applications that use foundation models |
| Choose effective prompt engineering techniques |
| Describe the training and fine-tuning process for foundation models |
| Describe methods to evaluate foundation model performance |
| Guidelines for Responsible AI |
| Explain the development of AI systems that are responsible |
| Recognize the importance of transparent and explainable models |
| Security, Compliance, and Governance for AI Solutions |
| Explain methods to secure AI systems |
| Recognize governance and compliance regulations for AI systems |
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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!
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Hybrid training
- Hybrid training means that online participants can additionally attend a classroom course. The dynamics of a real seminar are maintained, and the online participants are able to benefit from that. Online participants of a hybrid course use a collaboration platform, such as WebEx Training Center or Saba Meeting. To do this, a PC with browser and Internet access is required, as well as a headset and ideally a Web cam. In the seminar room, we use specially developed and customized audio- and video-technologies. This makes sure that the communication between all persons involved works in a convenient and fault-free way.
-
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.-
Course Contents
-
This one-day instructor-led training (ILT) course allows you to assess and improve your readiness for the AWS Certified AI Practitioner (AIF-C01) certification exam.
The certification exam validates sought-after knowledge of artificial intelligence (AI), machine learning (ML), and generative AI concepts and their use cases.
This intermediate-level course comprehensively prepares you for the AWS Certified AI Practitioner (AIF-C01) exam. You will gain a detailed overview of all relevant exam content and learn how to apply it in the context of developing AI and ML solutions on the AWS platform.
Through detailed explanations and the analysis of exam-like sample questions, you will consolidate your knowledge, identify any gaps in your understanding, and develop strategies for solving questions effectively.
The course also includes a targeted review of exam-like sample questions to identify typical sources of error and improve your exam technique.
By the end of the course, you will have a solid understanding of the theoretical concepts and their practical application—exactly what you need to successfully pass the AWS Certified AI Practitioner (AIF-C01) exam.
This course includes presentations on the topic, exam-like questions, use cases, and group discussions and activities.
-
Target Group
-
This course is intended for individuals preparing for the AWS Certified AI Practitioner (AIF-C01) exam
-
Knowledge Prerequisites
-
You do not need to complete any specific training before attending this course. However, the following prior knowledge is recommended before taking the AWS Certified AI Practitioner (AIF-C01) exam:
- Familiarity with the AWS core services (e.g. Amazon EC2, Amazon S3, AWS Lambda and Amazon SageMaker AI) and the use cases of the AWS core services.
- You should have up to 6 months of experience with AI and ML technologies on AWS.</li
- You are familiar with solutions that use AI and ML technologies on AWS, but do not necessarily build them.</li
- Familiarity with the AWS model of shared responsibility for security and compliance in the AWS cloud.</li
- Familiarity with AWS Identity and Access Management (IAM) to secure and control access to AWS resources.
- Familiarity with the global AWS infrastructure, including the concepts of AWS regions, availability zones and edge locations.</li
- Familiarity with the pricing models for AWS services.
-
Course Objective
-
In this course you will learn:
- Identify the scope and content of the AWS Certified AI Practitioner (AIF-C01) exam.
- Practice exam-like questions and evaluate your preparation strategy.
- Examine use cases and differentiate between them.</li
| Fundamentals of AI and ML |
| Explain basic AI concepts and terminologies |
| Identify practical use cases for AI |
| Describe the ML development lifecycle |
| Fundamentals of Generative AI |
| Explain the basic concepts of generative AI |
| Understand the capabilities and limitations of generative AI for solving business problems |
| Describe AWS infrastructure and technologies for building generative AI applications |
| Applications of Foundation Models |
| Describe design considerations for applications that use foundation models |
| Choose effective prompt engineering techniques |
| Describe the training and fine-tuning process for foundation models |
| Describe methods to evaluate foundation model performance |
| Guidelines for Responsible AI |
| Explain the development of AI systems that are responsible |
| Recognize the importance of transparent and explainable models |
| Security, Compliance, and Governance for AI Solutions |
| Explain methods to secure AI systems |
| Recognize governance and compliance regulations for AI systems |
-
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!
-
Hybrid training
- Hybrid training means that online participants can additionally attend a classroom course. The dynamics of a real seminar are maintained, and the online participants are able to benefit from that. Online participants of a hybrid course use a collaboration platform, such as WebEx Training Center or Saba Meeting. To do this, a PC with browser and Internet access is required, as well as a headset and ideally a Web cam. In the seminar room, we use specially developed and customized audio- and video-technologies. This makes sure that the communication between all persons involved works in a convenient and fault-free way.
-
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.
Hybrid Training
Trainer language German