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
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.
Course details
Course overview
- Level: Intermediate
- Type: Classroom (virtual and in person)
- Length: 1 day
What you'll learn
- 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.
Who should take this course
This course is intended for individuals who are preparing for the AWS Certified AI Practitioner (AIF-C01) exam.
What experience you'll need
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, Amazon EC2, Amazon S3, AWS Lambda, and Amazon 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.
- Fundamentals of Machine Learning and Artificial Intelligence (1 hour)
- Exploring Artificial Intelligence Use Cases and Applications (1 hour)
- Responsible Artificial Intelligence Practices (1 hour)
- Developing Machine Learning Solutions (1 hour)
- Developing Generative Artificial Intelligence Solutions (1 hour)
- Essentials of Prompt Engineering (1 hour)
- Optimizing Foundation Models (1 hour)
- Security, Compliance, and Governance for AI Solutions (1 hour)
- Generative AI for Executives (0.25 hour)
- Amazon Q Business Getting Started (0.75 hour)
- Amazon Bedrock Getting Started (1 hour)
- Getting Started with Amazon Comprehend: Custom Classification (1.25 hours)
What languages are offered
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.