Get hands-on with an Individual Subscription
$29/month
1,000+ lab experiences, enhanced exam prep, solution building, and more
EXAM PREP
AWS Certified AI Practitioner (AIF-C01)
Guidance from start to AWS Certified AI Practitioner. Get the most out of your study time with AWS Skill Builder’s four steps through exam prep, for seamless learning when and where you need it. This exam validates in-demand knowledge of artificial intelligence (AI), machine learning (ML), and generative AI concepts and use cases.
Subscribe now
Step 1: Get to know the exam with exam-style questions
Review the exam guide. Take the AWS Certification Official Practice Question Set to understand exam-style questions.
Course | Description | Type | Cost | Duration |
|---|---|---|---|---|
FundamentalThe Standard Exam Prep Plan includes free resources for Steps 1–3 of the 4-step plan created by AWS experts. Learners will be enrolled in all courses included in the Exam Prep Plan. We recommend that you select and work through the exam prep content that meets your specific skill and knowledge needs. Then, you can progress through the material at your own pace. | Exam Preparation | Free | 18 hours | |
FundamentalThe Enhanced Exam Prep Plan includes resources for each step of the 4-step plan created by AWS experts. Learners have access to everything in the Standard Exam Prep plan plus access to more robust role-based training, including game-based learning and experiential learning. Learners will be enrolled in all courses included in the Exam Prep Plan. We recommend that you select and work through the exam prep content that meets your specific skill and knowledge needs. Then, you can progress through the material at your own pace. | Exam Preparation | Paid | 27 hours | |
FundamentalExam Prep Official Practice Question Set: AWS Certified AI Practitioner (AIF-C01 - English) includes 20 questions. This question set aligns with the AIF-C01 version of the exam and exam guide. AWS Certification Official Practice Question Sets feature 20 questions developed by AWS to demonstrate the style of our certification exams. These exam-style questions include detailed feedback and recommended resources to help you prepare for your exam. | Exam Preparation | Free | 30 minutes |
| Course | Standard Exam Prep Plan: AWS Certified AI Practitioner (AIF-C01) |
|---|---|
| Description | FundamentalThe Standard Exam Prep Plan includes free resources for Steps 1–3 of the 4-step plan created by AWS experts. Learners will be enrolled in all courses included in the Exam Prep Plan. We recommend that you select and work through the exam prep content that meets your specific skill and knowledge needs. Then, you can progress through the material at your own pace. |
| Type | Exam Preparation |
| Cost | Free |
| Duration | 18 hours |
| Course | Enhanced Exam Prep Plan: AWS Certified AI Practitioner (AIF-C01) |
|---|---|
| Description | FundamentalThe Enhanced Exam Prep Plan includes resources for each step of the 4-step plan created by AWS experts. Learners have access to everything in the Standard Exam Prep plan plus access to more robust role-based training, including game-based learning and experiential learning. Learners will be enrolled in all courses included in the Exam Prep Plan. We recommend that you select and work through the exam prep content that meets your specific skill and knowledge needs. Then, you can progress through the material at your own pace. |
| Type | Exam Preparation |
| Cost | Paid |
| Duration | 27 hours |
| Course | Exam Prep Official Practice Question Set: AWS Certified AI Practitioner (AIF-C01) |
|---|---|
| Description | FundamentalExam Prep Official Practice Question Set: AWS Certified AI Practitioner (AIF-C01 - English) includes 20 questions. This question set aligns with the AIF-C01 version of the exam and exam guide. AWS Certification Official Practice Question Sets feature 20 questions developed by AWS to demonstrate the style of our certification exams. These exam-style questions include detailed feedback and recommended resources to help you prepare for your exam. |
| Type | Exam Preparation |
| Cost | Free |
| Duration | 30 minutes |
Step 2: Refresh your AWS knowledge and skills.
Enroll in digital courses where you need to fill gaps in knowledge, practice building with interactive training, and review whitepapers and technical resources.
Course | Description | Type | Cost | Duration |
|---|---|---|---|---|
FundamentalIn this course, you will learn about the foundations of machine learning (ML) and artificial intelligence (AI). You will explore the connections between AI, ML, deep learning, and the emerging field of generative artificial intelligence (generative AI). You will gain a solid understanding of foundational AI terms, laying the groundwork for a deeper dive into these concepts. Additionally, you will learn about a selection of Amazon Web Services (AWS) services that use AI and ML capabilities. You will gain practical insights into how these tools can be used to solve real-world problems and drive innovation across various industries | Digital Course | Free | 1 hour | |
FundamentalIn this course, you will explore real-world artificial intelligence (AI), machine learning (ML) and generative artificial intelligence (generative AI) use cases across a range of industries. These areas include healthcare, finance, marketing, entertainment, and more. You will also learn about AI, ML, and generative AI capabilities and limitations, model selection techniques, and key business metrics. | Digital Course | Free | 1 hour | |
FundamentalIn this course, you will learn about responsible AI practices. First, you will be introduced to what responsible AI is. You will learn how to define responsible AI, understand the challenges that responsible AI attempt to overcome and explore the core dimensions of responsible AI. | Digital Course | Free | 1 hour | |
FundamentalIn this machine learning course, you will learn about the machine learning lifecycle, and how to use AWS services at every stage. Additionally, you will discover the diverse sources for machine learning models and learn techniques to evaluate their performance. You will also understand the importance of machine learning operations (MLOps) in streamlining the development and deployment of your machine learning projects. | Digital Course | Free | 1 hour | |
FundamentalIn this course, you will explore the generative artificial intelligence (generative AI) application lifecycle, which includes the following: - Defining a business use case - Selecting a foundation model (FM) - Improving the performance of an FM - Evaluating the performance of an FM - Deployment and its impact on business objectives | Digital Course | Free | 1 hour | |
FundamentalIn this course, you will be introduced to the fundamentals of crafting effective prompts. You will gain an understanding of how to refine and optimize prompts for a range of use cases. You will also explore techniques like zero-shot, few-shot, and chain-of-thought prompting. Finally, you will learn to identify potential risks associated with prompt engineering. | Digital Course | Free | 1 hour | |
FundamentalIn this course, you will explore two techniques to improve the performance of a foundation model (FM): Retrieval Augmented Generation (RAG) and fine-tuning. You will learn about Amazon Web Services (AWS) services that help store embeddings with vector databases, the role of agents in multi-step tasks, define methods for fine-tuning an FM, how to prepare data for fine-tuning, and more. | Digital Course | Free | 1 hour | |
FundamentalThis course helps you understand some common issues of around security, compliance, and governance associated with artificial intelligence (AI) solutions. You will learn how to recognize governance and compliance requirements for AI systems. You will also learn about various Amazon Web Services (AWS) services and features that will help you apply governance controls and achieve your compliance objectives. Finally, you will be introduced to AWS services that can help you secure your AI systems. | Digital Course | Free | 1 hour | |
FundamentalThis course provides a high-level picture of generative AI. Learners explore what generative AI is, how it can address executives’ concerns and challenges, and how it supports business growth. They also learn how generative AI has the potential to revolutionize numerous industries. | Digital Course | Free | 15 minutes | |
FundamentalAmazon Q Business is generative artificial intelligence (generative AI) powered assistant that can answer questions, generate content, create summaries, and complete tasks—all based on the information in your enterprise. In this Getting Started course, you will learn about the benefits, features, typical use cases, technical concepts, and cost of using Amazon Q Business. You will also review an architecture that depicts how Amazon Q Business works. Through a guided tutorial consisting of a narrated video, step-by-step instructions, and transcript, you will learn how to create an Amazon Q web experience that uses a sample set of documents. | Digital Course | Free | 45 minutes | |
FundamentalAmazon Bedrock is a fully managed service that offers leading foundation models (FMs) and a set of tools to quickly build and scale generative AI applications. The service also helps ensure privacy and security. In this Getting Started course, you will learn about the benefits, features, typical use cases, technical concepts, and cost of Amazon Bedrock. | Digital Course | Free | 1 hour | |
FundamentalIn this lab, you create and test a custom classification model using Amazon Comprehend. | Self-Paced Lab | Paid | 1 hour 15 minutes | |
FundamentalThis lab demonstrates to a how to build a question-answering chatbot that uses stateless, retrieval augmented generation to provide answers to your questions about AWS Classroom courses. | Self-Paced Lab | Paid | 1 hour 30 minutes |
| Course | Fundamentals of Machine Learning and Artificial Intelligence |
|---|---|
| Description | FundamentalIn this course, you will learn about the foundations of machine learning (ML) and artificial intelligence (AI). You will explore the connections between AI, ML, deep learning, and the emerging field of generative artificial intelligence (generative AI). You will gain a solid understanding of foundational AI terms, laying the groundwork for a deeper dive into these concepts. Additionally, you will learn about a selection of Amazon Web Services (AWS) services that use AI and ML capabilities. You will gain practical insights into how these tools can be used to solve real-world problems and drive innovation across various industries |
| Type | Digital Course |
| Cost | Free |
| Duration | 1 hour |
| Course | Exploring Artificial Intelligence Use Cases and Applications |
|---|---|
| Description | FundamentalIn this course, you will explore real-world artificial intelligence (AI), machine learning (ML) and generative artificial intelligence (generative AI) use cases across a range of industries. These areas include healthcare, finance, marketing, entertainment, and more. You will also learn about AI, ML, and generative AI capabilities and limitations, model selection techniques, and key business metrics. |
| Type | Digital Course |
| Cost | Free |
| Duration | 1 hour |
| Course | Responsible Artificial Intelligence Practices |
|---|---|
| Description | FundamentalIn this course, you will learn about responsible AI practices. First, you will be introduced to what responsible AI is. You will learn how to define responsible AI, understand the challenges that responsible AI attempt to overcome and explore the core dimensions of responsible AI. |
| Type | Digital Course |
| Cost | Free |
| Duration | 1 hour |
| Course | Developing Machine Learning Solutions |
|---|---|
| Description | FundamentalIn this machine learning course, you will learn about the machine learning lifecycle, and how to use AWS services at every stage. Additionally, you will discover the diverse sources for machine learning models and learn techniques to evaluate their performance. You will also understand the importance of machine learning operations (MLOps) in streamlining the development and deployment of your machine learning projects. |
| Type | Digital Course |
| Cost | Free |
| Duration | 1 hour |
| Course | Developing Generative Artificial Intelligence Solutions |
|---|---|
| Description | FundamentalIn this course, you will explore the generative artificial intelligence (generative AI) application lifecycle, which includes the following: - Defining a business use case - Selecting a foundation model (FM) - Improving the performance of an FM - Evaluating the performance of an FM - Deployment and its impact on business objectives |
| Type | Digital Course |
| Cost | Free |
| Duration | 1 hour |
| Course | Essentials of Prompt Engineering |
|---|---|
| Description | FundamentalIn this course, you will be introduced to the fundamentals of crafting effective prompts. You will gain an understanding of how to refine and optimize prompts for a range of use cases. You will also explore techniques like zero-shot, few-shot, and chain-of-thought prompting. Finally, you will learn to identify potential risks associated with prompt engineering. |
| Type | Digital Course |
| Cost | Free |
| Duration | 1 hour |
| Course | Optimizing Foundation Models |
|---|---|
| Description | FundamentalIn this course, you will explore two techniques to improve the performance of a foundation model (FM): Retrieval Augmented Generation (RAG) and fine-tuning. You will learn about Amazon Web Services (AWS) services that help store embeddings with vector databases, the role of agents in multi-step tasks, define methods for fine-tuning an FM, how to prepare data for fine-tuning, and more. |
| Type | Digital Course |
| Cost | Free |
| Duration | 1 hour |
| Course | Security, Compliance, and Governance for AI Solutions |
|---|---|
| Description | FundamentalThis course helps you understand some common issues of around security, compliance, and governance associated with artificial intelligence (AI) solutions. You will learn how to recognize governance and compliance requirements for AI systems. You will also learn about various Amazon Web Services (AWS) services and features that will help you apply governance controls and achieve your compliance objectives. Finally, you will be introduced to AWS services that can help you secure your AI systems. |
| Type | Digital Course |
| Cost | Free |
| Duration | 1 hour |
| Course | Generative AI for Executives |
|---|---|
| Description | FundamentalThis course provides a high-level picture of generative AI. Learners explore what generative AI is, how it can address executives’ concerns and challenges, and how it supports business growth. They also learn how generative AI has the potential to revolutionize numerous industries. |
| Type | Digital Course |
| Cost | Free |
| Duration | 15 minutes |
| Course | Amazon Q Business Getting Started |
|---|---|
| Description | FundamentalAmazon Q Business is generative artificial intelligence (generative AI) powered assistant that can answer questions, generate content, create summaries, and complete tasks—all based on the information in your enterprise. In this Getting Started course, you will learn about the benefits, features, typical use cases, technical concepts, and cost of using Amazon Q Business. You will also review an architecture that depicts how Amazon Q Business works. Through a guided tutorial consisting of a narrated video, step-by-step instructions, and transcript, you will learn how to create an Amazon Q web experience that uses a sample set of documents. |
| Type | Digital Course |
| Cost | Free |
| Duration | 45 minutes |
| Course | Amazon Bedrock Getting Started |
|---|---|
| Description | FundamentalAmazon Bedrock is a fully managed service that offers leading foundation models (FMs) and a set of tools to quickly build and scale generative AI applications. The service also helps ensure privacy and security. In this Getting Started course, you will learn about the benefits, features, typical use cases, technical concepts, and cost of Amazon Bedrock. |
| Type | Digital Course |
| Cost | Free |
| Duration | 1 hour |
| Course | Getting Started with Amazon Comprehend: Custom Classification |
|---|---|
| Description | FundamentalIn this lab, you create and test a custom classification model using Amazon Comprehend. |
| Type | Self-Paced Lab |
| Cost | Paid |
| Duration | 1 hour 15 minutes |
| Course | Build a Question-answering Bot using Generative AI |
|---|---|
| Description | FundamentalThis lab demonstrates to a how to build a question-answering chatbot that uses stateless, retrieval augmented generation to provide answers to your questions about AWS Classroom courses. |
| Type | Self-Paced Lab |
| Cost | Paid |
| Duration | 1 hour 30 minutes |
Step 3: Review and practice for your exam.
Enroll in either the Standard or Enhanced Exam Prep Course. The Standard version includes only free resources. The Enhanced version is available to AWS Skill Builder subscribers and includes additional labs, exam-style questions, and flashcards. Available for select exams.
Course | Description | Type | Cost | Duration |
|---|---|---|---|---|
FundamentalExam Prep Standard Courses focus on Step 3 of the 4-step plan: Review and practice. In each 4–8 hour video course, the instructor reviews the content of the exam. Instructors also walk through exam-style questions. | Exam Preparation | Free | 8 hours | |
FundamentalExam Prep Enhanced Courses focus on Step 3 of the 4-step plan: Review and practice. Enhanced Courses include everything in the Exam Prep Standard Course plus up to 10 hours of additional content. Learners can review and practice with additional exam-style questions, builder labs, flashcards, full-length assessments, and game-based learning. | Exam Preparation | Paid | 14 hours 30 minutes | |
FundamentalThe escape room is a 2-hour 3D virtual escape room game for learners preparing for AWS Certified AI Practitioner (AIF-C01). During this course you will solve a series of puzzles, knowledge-check questions, exam-style questions, and hands-on lab exercises to escape a virtual environment. | Exam Preparation | Paid | 2 hours |
| Course | Exam Prep Standard Course: AWS Certified AI Practitioner (AIF-C01) |
|---|---|
| Description | FundamentalExam Prep Standard Courses focus on Step 3 of the 4-step plan: Review and practice. In each 4–8 hour video course, the instructor reviews the content of the exam. Instructors also walk through exam-style questions. |
| Type | Exam Preparation |
| Cost | Free |
| Duration | 8 hours |
| Course | Exam Prep Enhanced Course: AWS Certified AI Practitioner (AIF-C01) |
|---|---|
| Description | FundamentalExam Prep Enhanced Courses focus on Step 3 of the 4-step plan: Review and practice. Enhanced Courses include everything in the Exam Prep Standard Course plus up to 10 hours of additional content. Learners can review and practice with additional exam-style questions, builder labs, flashcards, full-length assessments, and game-based learning. |
| Type | Exam Preparation |
| Cost | Paid |
| Duration | 14 hours 30 minutes |
| Course | AWS Escape Room: AWS Certified AI Practitioner (AIF-C01) |
|---|---|
| Description | FundamentalThe escape room is a 2-hour 3D virtual escape room game for learners preparing for AWS Certified AI Practitioner (AIF-C01). During this course you will solve a series of puzzles, knowledge-check questions, exam-style questions, and hands-on lab exercises to escape a virtual environment. |
| Type | Exam Preparation |
| Cost | Paid |
| Duration | 2 hours |
Step 4: Assess your exam readiness.
Take an AWS Certification Official Practice Exam or Official Pretest. Availability varies by exam.
Course | Description | Type | Cost | Duration |
|---|---|---|---|---|
FundamentalThe Exam Prep Official Pretest: AWS Certified AI Practitioner (AIF-C01 - English) includes 65 questions and has a time limit of 90 minutes. This pretest aligns with the AIF-C01 version of the exam and exam guide. Gain confidence going into exam day with an official, full-length pretest created by the experts at AWS. Take an AWS Certification Official Pretest to focus your preparation where you need it most, and assess your exam readiness. Exam Prep Official Pretests are full-length assessments that provide practice with the same question style, depth, and rigor as the certification exam. You can use the pretest to familiarize yourself with exam-style questions and identify areas where additional study time is needed based on exam topic. You’ll receive feedback on answer choices for each question, including recommended resources to deepen your understanding of key topics, and will receive a score outlining the percentage of questions answered correctly for the overall exam and the number of questions answered correctly for the domain. | Exam Preparation | Paid | 1 hour 30 minutes |
| Course | Exam Prep Official Pretest: AWS Certified AI Practitioner (AIF-C01) |
|---|---|
| Description | FundamentalThe Exam Prep Official Pretest: AWS Certified AI Practitioner (AIF-C01 - English) includes 65 questions and has a time limit of 90 minutes. This pretest aligns with the AIF-C01 version of the exam and exam guide. Gain confidence going into exam day with an official, full-length pretest created by the experts at AWS. Take an AWS Certification Official Pretest to focus your preparation where you need it most, and assess your exam readiness. Exam Prep Official Pretests are full-length assessments that provide practice with the same question style, depth, and rigor as the certification exam. You can use the pretest to familiarize yourself with exam-style questions and identify areas where additional study time is needed based on exam topic. You’ll receive feedback on answer choices for each question, including recommended resources to deepen your understanding of key topics, and will receive a score outlining the percentage of questions answered correctly for the overall exam and the number of questions answered correctly for the domain. |
| Type | Exam Preparation |
| Cost | Paid |
| Duration | 1 hour 30 minutes |