AWS certified AI practitioner
Build a solid foundation in AI and ML with the AWS Certified AI Practitioner certification!
Check out our popular training for the AWS AI Practitioner that will maximize your chances of successfully passing your exam with confidence
About the AWS certified AI practitioner
Explore one of the latest additions to the AWS certification portfolio
The AWS Certified AI Practitioner certification is designed for individuals seeking to validate their understanding of artificial intelligence (AI) and machine learning (ML) concepts, particularly within the AWS ecosystem.
This foundational-level certification is ideal for professionals who utilize AI/ML technologies on AWS but do not necessarily develop AI/ML solutions.
The AWS Certified AI Practitioner exam assesses your ability to:
- Understand AI, ML, and generative AI concepts, methods, and strategies in general and on AWS
- Determine the correct types of AI/ML technologies to apply to specific use cases
- Use AI, ML, and generative AI technologies responsible
AWS AI practitioner exam overview
What you need to know about the AIF-C01 Foundational Exam
Key Facts
- Time: 90 minutes
- Cost: $100 USD
- Number of questions: 65
- Passing score: 700 (out of 1000), scaled scoring
- Format: Multiple-choice and multiple-response questions, ordering, matching and case studies
- Languages Available: English, Japanese, Korean, Portuguese, Chinese
- Delivery Options: Online proctored exam or in-person (Pearson VUE testing center)
Domains Covered
The exam tests your knowledge across five key areas:
- Fundamentals of AI and ML (20%)
- Fundamentals of Generative AI (24%)
- Applications of Foundation Models (28%)
- Guidelines for Responsible AI (14%)
- Security, Compliance, and Governance for AI Solutions (14%)
Frequently Asked Questions
Find answers to the most frequently asked questions about the AWS AI Practitioner
What is the AWS Certified AI Practitioner Certification?
The AWS Certified AI Practitioner certification validates your understanding of AI and ML concepts within the AWS ecosystem.
It’s designed for individuals who use AI/ML technologies on AWS but do not necessarily develop AI/ML solutions.
Who should pursue the AWS AI Practitioner certification?
This certification is suitable for:
- Business leaders, sales and marketing professionals, product managers, and others aiming to leverage AI responsibly to drive efficiencies and informed decisions within their organizations.
- Individuals familiar with AI/ML technologies on AWS who use, but do not necessarily build, AI/ML solutions on AWS.
Is the AWS Certified AI Practitioner Certification worth it?
Yes, this certification is valuable for professionals looking to demonstrate their knowledge of AI and ML on AWS.
It can enhance your credibility and open up career opportunities in roles such as AI Support Specialist or AI Solutions Consultant.
How long do I need to prepare for the AWS Certified AI Practitioner exam?
The study duration varies based on your background.
Individuals with prior experience in AI/ML may require less preparation time, while those new to the field might need more.
How difficult is the AWS Certified AI Practitioner Exam?
The exam is considered foundational, making it accessible to individuals with basic knowledge of AI/ML concepts. However, thorough preparation is recommended to ensure success.
How Many Questions are on the AWS Certified AI Practitioner Exam?
The AWS Certified AI Practitioner exam consists of 65 questions.
How Much Time Do I Have to Complete the AWS Certified AI Practitioner Exam?
You have 90 minutes to complete the AWS AI Practitioner certification exam.
How Much Does the AWS Certified AI Practitioner Exam Cost?
The exam fee for the AWS AI Practitioner is $100 USD.
Can I take the AWS Certified AI Practitioner Exam from home? Career Opportunities in AI
Yes, AWS offers the option to take the exam online with remote proctoring, allowing you to take the exam online from the comfort of your home or office.
Career opportunities in AI and ML
Explore common roles, salaries, and essential skills to thrive in the AI and ML job market.
What are the common job roles in AI and ML?
Machine Learning Engineer
- Designs, builds, and maintains ML models and algorithms.
- Often works with large datasets to train models for predictive analysis and automation.
- Tools Used: TensorFlow, PyTorch, AWS SageMaker.
AI Developer
- Focuses on integrating AI models into applications and systems.
- Develops solutions like chatbots, recommendation systems, or intelligent automation tools.
- Tools Used: AWS AI services like Polly, Lex, and Rekognition.
Data Scientist
- Analyzes and interprets complex data to extract insights and inform decision-making.
- Creates data models and visualizations to support AI/ML initiatives.
- Skills Required: Python, R, SQL, and data visualization tools.
AI Solutions Architect
- Designs and deploys AI/ML solutions tailored to business needs.
- Ensures scalability, security, and performance of AI systems.
- Works closely with teams to integrate AI into existing workflows.
Business Analyst with AI Expertise
- Bridges the gap between technical AI teams and business stakeholders.
- Identifies business challenges where AI/ML can add value and measures its impact.
- Skills Required: Basic AI knowledge, strong analytical and communication skills.
What is the average salary in AI and ML?
Salaries vary based on location, industry, and expertise, with technology and finance sectors typically offering the highest pay.
Entry-Level Roles
- Start around $85,000 annually for positions like Junior Data Scientist or AI Developer.
Mid-Level Roles
- Earn between $110,000 and $135,000, such as Machine Learning Engineers with 2-5 years of experience.
Senior Roles
- Experienced professionals in roles like AI Architect or Lead Data Scientist can exceed $150,000 annually.
What skills are required for AI and ML careers?
AI and ML Concepts
- Understanding of supervised, unsupervised, and reinforcement learning.
- Familiarity with AI applications like natural language processing (NLP) and computer vision.
AWS AI Services
- Proficiency in AWS tools like SageMaker (model building), Rekognition (image analysis), and Polly (text-to-speech).
Programming Languages
- Expertise in Python or R for developing and deploying AI/ML models.
- Knowledge of frameworks like TensorFlow or PyTorch.
Data Analytics
- Ability to preprocess, analyze, and visualize data for model training.
- Familiarity with tools like Pandas, NumPy, and Matplotlib.
Problem-Solving Skills
- Critical thinking to identify challenges AI/ML can address.
- Creativity in designing solutions tailored to business goals.
On-demand training resources
This popular training covers everything you need to know to ace your AWS AI Practitioner exam
Artificial Intelligence (AI) is transforming industries as cloud computing makes AI-driven solutions more accessible. The AWS Certified AI Practitioner certification validates foundational knowledge of AI and machine learning (ML) concepts, including AI principles, AWS AI services, and how to apply AI to real-world business scenarios.
This certification is ideal for individuals looking to build AI-powered applications or integrate AI capabilities into existing workflows. In this training, you’ll learn the core concepts of AI and ML, explore AWS AI services like Amazon Bedrock and Amazon SageMaker, and gain hands-on experience designing, deploying, and managing AI-driven solutions in the cloud.
Everything you need to succeed is covered in our AWS AI Practitioner online training course. You’ll learn through a structured mix of video lectures, hands-on exercises, practice questions to reinforce key concepts and assess your exam readiness.
This is the most comprehensive online training available for the AWS AI Practitioner certification and is fully up to date with the latest AI advancements and AWS services featured on the exam.
On-Demand Video Course (instructor-led)
The video course combines essential theory with guided practical exercises that are backed by high-quality diagrams and references.
- 14 hours of on-demand video training with guided hands-on exercises
- Coverage of the latest exam topics for the AIF-C01
- Theory lessons with amazing architectural diagrams
- All diagrams, code, links, files and slides are available for download
- Course Certificate is issued upon successful completion of the course
The video course is taught in a style that includes theory lessons with lots of visualization such as architectural diagrams and animated graphics.
On-demand Practice Exam Course
Test your knowledge and assess your exam readiness with practice questions that match the difficulty of the real AWS exam.
Practice exams are delivered in 3 different formats:
- Exam Mode – 2 sets of practice exams with 65 questions each, time limit of 90 mins, and pass mark of 70%.
- Training Mode – Check answers and explanations after every question (no time limit).
- Final exam simulator – Full-length exam with 65 questions pulled randomly from our pool of questions. Same time limit (90 mins) and pass mark (70%) as the real AWS exam.
You will be presented with an overall score at the end of the exam with a pass/fail message.
A Certificate of Achievement is issued when you score 70% and above in your final exam simulator.
What you'll learn [scope & content]
We teach you all of the skills required to successfully pass your AWS AI Practitioner exam on your first attempt
Our AWS Certified AI Practitioner training covers all the key knowledge areas tested in the exam. You’ll gain a strong understanding of AI and ML fundamentals, AWS AI services, and real-world AI applications through comprehensive video lessons and hands-on exercises designed to build practical skills.
Our practice tests mirror the style and difficulty of the real exam, ensuring you feel confident on test day.
The AWS Certified AI Practitioner (AIF-C01) exam guide categorizes the required skills into specific domains. This course covers everything you need to pass your exam, with in-depth training on each domain.
You’ll learn the following skills (grouped by domain):
- Explain basic AI concepts and terminologies.
- Identify practical use cases for AI.
- Describe the ML development lifecycle.
- 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.
- 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.
- Explain the development of AI systems that are responsible.
- Recognize the importance of transparent and explainable models.
- Explain methods to secure AI systems.
- Recognize governance and compliance regulations for AI systems.
Subscription options tailored to your needs
Choose our monthly plan for ultimate flexibility, or opt for our yearly plan to maximize savings
If you’re looking for high-quality certification training that will fully prepare you for your AWS Certified AI Practitioner exam – this popular training is for you.
With our monthly or yearly plans, you’ll gain access to our entire library of Video Courses, Practice Exams, Training Notes and Master Classes.
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Customer reviews
This is by far the best organized and delivered training which gives you a very high level of AWS understanding. Very well presented and explained. I am new to AWS and passed the certification exam first time. Thank you Neal.
The hands-on element of the video course really helped me. I don't do well with just reading or hearing information. I need context and physical reinforcement. This course helped me pass the Cloud Practitioner test.
This training was so addictive. Loved the hands-on labs and the visuals. The instructor was able to cover so much material in a short amount of time and because of the labs and exam crams, it was very easy to remember.
Why digital cloud training
1M Learners
4.7 Average Rating
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Frequently Asked Questions
I don't have ANY cloud experience. Is this training right for me?
If you don’t have any experience with cloud computing, we recommend that you first complete at least one associate-level AWS certification as those will set you up with a strong base of knowledge to build upon.
You may also consider passing the AWS Certified Solutions Architect Professional exam before attempting the AWS Certified Advanced Networking Specialty exam.
Are your training courses up to date?
Our training covers the latest ANS-C01 exam blueprint for the AWS Certified Advanced Networking Specialty. All of our video lessons, practice exams and training notes are regularly updated to reflect the latest AWS changes.
What's included in the video course? Do I get to access all course materials?
All diagrams, code, links and files are available for download (in PDF format).
You also get access to all slides (PDF).
Practice Exams are available in exam and training mode. Plus, there's the knowledge reviews and the final exam simulator. What's the difference?
Exam Mode: In exam mode, you complete one full-length practice exam and answer all questions within the allotted time.
Training Mode: When taking the practice exam in training mode (no time limit), you will be shown the answers and explanations for every question after clicking “check”.
Knowledge Reviews: Now that you have identified your strengths and weaknesses, you get to dive deep into specific areas with our knowledge reviews. You are presented with a series of questions focussed on a specific topic. There is no time limit and you can view the answer to each question as you go through them.
Final Exam Simulator: The exam simulator randomly selects questions from our pool of practice questions – mimicking the real AWS exam environment. The practice exam has the same format, style, time limit and passing score as the real AWS exam.
How do I earn my certificate of achievement?
With practice exams, a Certificate of Achievement is issued when you score 75% and above in your online exam simulator.
A certificate of completion is issued upon successful completion of the video course.
I need to gain practical experience. Do you offer Hands-on Cloud Labs?
All of our AWS training courses include guided hands-on training where you can follow along in an AWS Free Tier account. Additionally, we offer Challenge Labs for those who are looking for extensive hands-on practice opportunities to develop real-world cloud skills. Challenge Labs are scenario-based hands-on exercises that run in a secure sandbox environment.
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