AWS Certified AI Practitioner (AIF-C01) is your full exam resource for the all-new AWS certification exam AIF-C01. Experienced trainer and author Chad Smith covers all the exam's concepts and objectives, equipping you with the edge needed to study effectively and achieve success.
AWS Certified AI Practitioner (AIF-C01)
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Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Review all exam objectives and prepare for the AWS Certified AI Practitioner AIF-C01 exam.
Learn how to use AI and AI in AWS solutions.
Explore foundation models, prompt engineering techniques, responsible AI, and security and compliance for AI workloads.
Get question breakdowns to validate your knowledge, acquire strategies, and embrace best practices.
Skills you'll gain
- Artificial Intelligence and Machine Learning (AI/ML)
- Generative AI
- Infrastructure Security
- Compliance Management
- Business Solutions
- Technology Strategies
- MLOps (Machine Learning Operations)
- Large Language Modeling
- Governance
- Business Metrics
- Performance Metric
- Amazon Web Services
- Data Ethics
- Prompt Engineering
- Artificial Intelligence
- AWS SageMaker
- Data Security
- Machine Learning
- Natural Language Processing
Details to know
Shareable certificate
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Recently updated!
August 2025
Assessments
16 assignments
Taught in English
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There are 5 modules in this course
This module provides an introduction to the AI Practitioner exam material and sets the stage for the rest of the course. You’ll receive an overview of the certification exam, including logistics and the list of question domains.
What's included
6 videos1 assignment
This module introduces the basic terminology and concepts required to discuss AI and machine learning. You’ll learn about foundational AI concepts, practical use cases, and the machine learning development lifecycle.
What's included
22 videos3 assignments
This module covers the essential terminology and concepts for generative AI, including its use cases, benefits, and limitations. You’ll also learn about AWS offerings for generative AI workloads.
What's included
20 videos3 assignments
This module explores the design, performance, training, and prompt engineering of foundation models. You’ll learn how to effectively use, monitor, and customize these powerful AI technologies.
What's included
30 videos4 assignments
This module addresses responsible and secure development of AI solutions, ensuring workloads are used appropriately and comply with regulations. Topics include responsible AI, transparency, security, and governance.
What's included
32 videos5 assignments
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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