Artificial intelligence has become an integral component in the everyday operations of businesses in almost every industry. On top of it, cloud service providers, such as AWS, have provided the resources required to drive transformation at scale. You can prepare for AWS AI certification and give a strategic boost to your career as an AI expert. The AWS Certified AI Practitioner or AIF-C01 certification program is an ideal credential for beginners and professionals with some experience.

A recent survey by Gartner revealed that around 25% of work in IT will be done by AI alone, by 2030 (Source). The survey also pointed out that the remaining 75% of work will be done by humans with help of AI. You can clearly notice how AI readiness has become a necessity and is no longer a fancy skill you can have in your resume. Understanding the AWS AI certification can help you define the ideal preparation strategy for the certification course.

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What is the AWS AI Certification?

The AWS Certified AI Practitioner or AIF-C01 certification exam is an ideal choice for individuals who have to showcase proof of fundamental knowledge of AI concepts and AWS AI tools. The AWS AI Practitioner certification is a foundation-level certification, thereby indicating that beginners can enroll in it without prior experience. It is different from specialty certifications as it does not require advanced data science knowledge or programming skills. On the contrary, it evaluates the learner’s practical knowledge of AI concepts and how AWS helps in effective AI implementation.

The AIF-C01 certification exam evaluates the skills of candidates in the following areas,

  • Understanding of core concepts, methods and strategies for AI, ML and generative AI, in general and in context of AWS.
  • Knowledge of best practices to use AI, ML and generative AI technologies to solve business problems.
  • Responsible use of AI, ML and generative AI technologies.
  • Ability to identify the right AI/ML technologies for specific use cases. 
  • In-depth fluency in AWS AI services, such as Amazon Bedrock and Sagemaker.

The learning outcomes of the certification reveal that it only aims to validate your knowledge of artificial intelligence, machine learning and generative AI concepts. It also tests your ability to understand the use cases of these technologies and helps you achieve a competitive advantage in your career. You don’t have to know how to write code or modify complex systems for the AWS AI certification. All you have to do is prove your ability to identify the ideal AWS service to solve a specific problem.

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Who is the Ideal Candidate for the AWS AI Certification?

You should know whether you are eligible to enroll in the AWS AI certification before you design your preparation strategy. The AWS AI certification path is the best option for candidates who are familiar with AI/ML technologies on AWS. You don’t have to be an expert in building solutions using AWS AI services to prepare for the certification exam. Candidates who want to pursue the AWS AI certification must at least 6 months of exposure to AI/ML technologies on AWS.

The ideal candidates for AWS AI certification must have in-depth knowledge in the following areas,

  • Core AWS AI services, such as Amazon EC2, Bedrock, Sagemaker AI and AWS Lambda, and their use cases.
  • Pricing models for AWS services.
  • Shared responsibility model for security and compliance in AWS Cloud.
  • AWS Identity and Access Management to ensure security and managing access control for AWS resources.

You should enroll in the AWS AI certification if you are,

  • Business analysts
  • Working in IT support
  • Marketing professionals
  • Sales professionals
  • Product or project managers
  • IT managers

You can notice that the Certified AI Practitioner exam caters to the needs of every professional who wants to learn AI, without imposing technical prerequisites.

Understanding the AWS AI Certification Exam 

The next crucial step in preparations for the AWS AI certification focuses on learning about the certification exam. You can find better answers to “How to study for AWS AI certification?” by finding out the type of questions provided in the exam. Candidates will find four different question types in the AIF-C01 certification exam.

The multiple choice questions have one correct response while multiple response questions have two or more correct responses. You will also find ordering questions in which you have to select responses and place them in the correct order. The exam will also include matching questions in which you have to match all pairs correctly for obtaining credits.       

Candidates will get 50 scored questions and 15 unscored questions in the AWS AI certification exam. The unscored questions will not have any impact on your final score and there is no penalty for wrong responses. You can pass the certification exam by achieving a minimum passing score of 700 in the overall exam.

Which Topics Should You Learn to Prepare for AWS AI Certification Exam?

The ideal preparation strategy for the AWS AI certification exam will be incomplete without identifying what you have to learn. You must know the modules covered in the exam and the tasks you have to achieve in each module. 

  • Module 1

The first module of the AWS AI certification exam focuses on fundamental concepts of AI and machine learning. You can prepare for AWS AI certification by starting with understanding of basic AI concepts and terminology. You have to cover the practical use cases of AI and the machine learning development lifecycle in the first module.

  • Module 2

The next module in the certification exam revolves around fundamental concepts of generative AI. It focuses on basic concepts of generative AI and its capabilities and limitations. You will also learn about AWS services and technologies that you can use to build generative AI applications.

  • Module 3

The third module in the AWS AI certification is about the applications of foundation models and you will find a big share of questions from this module. The module focuses on design considerations for applications based on foundation models. You will also learn effective prompt engineering techniques and best practices for training and fine-tuning foundation models. The module also sheds light on the methods used for evaluating performance of foundation models.

  • Module 4

The AWS AI Practitioner certification exam also tests the ability of candidates to understand responsible AI. You will find lessons on best practices for developing responsible AI systems in this module of the certification. The module will help learners understand the importance of transparency and explainability in AI models.

  • Module 5

The final module in the AWS AI certification exam deals with security, compliance and governance in AI applications. It includes lessons on methods used for security of AI systems. You will also learn more about the compliance and governance regulations for AI systems in this module.

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Unraveling the Must-Have Steps in Your Preparation Strategy

Many candidates would assume that the basic information about the exam is enough to study and qualify the exam. On the contrary, you must recognize the importance of smart preparation strategy to achieve success. The following steps will help you design the ideal preparation strategy for the AWS AI certification exam.

  • Comprehensive Review of the Exam Guide

The official exam guide for the AWS Certified AI Practitioner exam will serve as a guiding light for your preparations. It provides detailed insights on exam domains and weightings of each domain, which you can use to identify high-priority areas. In addition, you can also recognize the notable AWS AI services that are included in the scope of the certification.

  • Choose Professional Training Courses 

The ideal starting point for your learning journey in the AWS AI certification path must begin with resources recommended by AWS. On the other hand, you should also choose structured courses from professional AI training platforms. The more you learn about AI and machine learning from a professional perspective, the easier it becomes for you to cover all modules in the certification.

  • Never Forget Hands-on Experience and Practice

Another crucial recommendation by expert to prepare for any AI certification exam is hands-on experience. You should know how to build a chatbot by using Amazon Lex or utilize Amazon Bedrock foundation models to generate text or images. The small projects will help you build your confidence and skills to answer scenario-based questions in the exam. On top of it, practice tests and mock exams can enhance your preparation by helping you identify your strengths and weaknesses.

Final Thoughts 

The steps to prepare for AWS AI certification exam can vary from one learner to another, as different people have distinct learning styles. However, you must pay attention to the mandatory things you must do to enhance your preparations. Awareness of the basic prerequisites for the certification and content covered in different modules of the certification can help you develop effective preparation plans. Learn more about the AWS AI certification exam and find the best resources to begin your preparations now.

FAQs

How to prepare for AI certification exams effectively?

The ideal strategy to prepare for AI certification exams effectively requires comprehensive understanding of the exam content. You should identify the topics you have to learn and the tasks you have to achieve in different modules of the certification exam. In addition, you must also choose professional training resources from reliable platforms and invest time in acquiring hands-on experience before the final certification exam.

What topics are covered in the AWS AI certification?

The AWS Certified AI Practitioner certification exam includes five different contain domains that include distinct topics. You will learn about fundamental concepts of AI, machine learning, and generative AI in the certification. The certification also focuses on applications of foundation models and best practices to design and implement responsible AI systems. Learners will also find a module on security, compliance and governance for AI solutions in the certification.

Is AWS AI certification worth it for career growth?

Yes, the AWS AI certification brings promising advantages for career growth. It is an ideal certification program for individuals who want to learn about AI and machine learning technologies without diving deeper into technical complexities. Upon completing the certification exam, you can become a trusted AI expert, especially in companies which adopt AWS AI services.

About Author

David Miller is a dedicated content writer and customer relationship specialist at Future Skills Academy. With a passion for technology, he specializes in crafting insightful articles on AI, machine learning, and deep learning. David's expertise lies in creating engaging content that educates and inspires readers, helping them stay updated on the latest trends and advancements in the tech industry.