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AWS Classroom Training

Exam Prep: AWS Certified AI Practitioner (AIF-C01)

Learn AI/ML concepts, generative AI applications, and responsible AI practices through expert-led instruction and exam-style questions while gaining confidence for the AIF-C01 certification exam

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Exam Prep: AWS Certified AI Practitioner (AIF-C01)

This intensive, one-day course is designed to help you assess your readiness for the AWS Certified AI Practitioner (AIF-C01) exam and develop a targeted study plan to fill any knowledge gaps. Through interactive lectures, practice questions, and real-world case studies, you’ll gain an understanding of the key exam domains, including fundamental AI and machine learning concepts, AWS AI/ML services, and responsible AI practices. The course is designed to help you:

  • Identify your unique strengths and knowledge gaps related to the exam objectives
  • Develop a targeted study plan to shore up areas that need more attention
  • Gain exam-taking tips and test-taking strategies to maximize your performance

By the end of the course, you’ll have a clear roadmap for completing your preparation and feeling confident to take the certification exam.

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Course details

  • Level: Intermediate
  • Type: Classroom (virtual and in person)
  • Length: 1 day
  • Identify the scope and content tested by the AWS Certified AI Practitioner (AIF-C01) exam. 
  • Practice exam style questions and evaluate your preparation strategy. 
  • Examine use cases and differentiate between them.

This course is intended for individuals who are preparing for the AWS Certified AI Practitioner (AIF-C01) exam.

You are not required to take any specific training before taking this course. However, the following prerequisite knowledge is recommended prior to taking the AWS Certified AI Practitioner (AIF-C01) exam.
Recommended AWS knowledge:

  • Familiarity with the core AWS services (for example, HAQM EC2, HAQM S3, AWS Lambda, and HAQM SageMaker AI) and AWS core services use cases.
  • Suggested to have up to 6 months of exposure to AI and ML technologies on AWS.
  • Are familiar with, but do not necessarily build, solutions using AI and ML technologies on AWS.
  • Familiarity with the AWS shared responsibility model for security and compliance in the AWS Cloud.
  • Familiarity with AWS Identity and Access Management (IAM) for securing and controlling access to AWS resources.
  • Familiarity with the AWS global infrastructure, including the concepts of AWS Regions, Availability Zones, and edge locations.
  • Familiarity with AWS service pricing models.Recommended courses

The following courses (or similar) are recommended but not required.

This course is offered in the following languages: English.

We regularly update our courses based on customer feedback and AWS service updates. As a result, course content may vary between languages while we localize these updates.