AWS - Exam Prep: AWS Certified AI Practitioner (AIF-C01) - Training Goals and Course Objectives

Sep 20, 2026

Uploaded by Paura

Exam Prep: AWS Certified AI Practitioner (AIF-C01) is a one-day ILT focused on assessing readiness for the AWS Certified AI Practitioner exam. The course validates key AI, machine learning, and generative AI knowledge, covering exam scope, core concepts, and use cases. Learners review detailed, exam-style questions, identify knowledge gaps, and apply test-taking strategies. Course objectives span five domains: AI/ML fundamentals, generative AI, foundation models, responsible AI, and security, compliance, and governance.

LanguageEnglish

CategoryExam

FormatPDF

Pages3

Reading Time8 min

AccessFree to download

Training goals and course objectives

Course objectives and intended audience

Conspect domains

Requirements and recommended AWS knowledge

Certificate and trainer

Training: AWS Exam Prep: AWS Certiﬁed AI Practitioner (AIF-C01) Training: AWS Exam Prep: AWS Certiﬁed AI Practitioner (AIF-C01) TRAINING GOALS: Exam Prep: AWS Certiﬁed AI Practitioner (AIF-C01) is a one-day ILT where you learn how to assess your preparedness for the AWS Certiﬁed AI Practitioner (AIF-C01) exam. The AWS Certiﬁed AI Practitioner (AIF-C01) exam validates in-demand knowledge of AI, machine learning (ML), and generative AI concepts and use cases. This intermediate-level course prepares you for the AWS Certiﬁed AI Practitioner (AIF-C01) exam by providing a comprehensive exploration of the exam topics. You'll delve into the key areas covered on the exam, understanding how they relate to developing AI and machine learning solutions on the AWS platform. Through detailed explanations and walkthroughs of exam-style questions, you'll reinforce your knowledge, identify gaps in your understanding, and gain valuable strategies for tackling questions eﬀectively. The course includes review of exam-style sample questions, to help you recognize incorrect responses and hone your test-taking abilities. By the end, you'll have a ﬁrm grasp on the concepts and practical applications tested on the AWS Certiﬁed AI Practitioner certiﬁcation exam. Course objectives In this course, you will learn to: 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. Intended audience This course is intended for individuals who are preparing for the AWS Certiﬁed AI Practitioner (AIFC01) exam. CONSPECT: Domain 1: Fundamentals of AI and ML Explain basic AI concepts and terminologies | [www.compendium.pl](www.compendium.pl) | page 1 of 3 | | --- | --- | Compendium Centrum Edukacyjne Spółka z o.o. ul. Tatarska 5, 30-103 Kraków, tel.: (12) 298 47 77 ul. Postępu 18B, 02-676 Warszawa, tel.: (22) 417 41 70 BNP Paribas Bank Polska S.A. EUR: PL 79 1600 1462 1853 6451 3000 0006 USD: PL 52 1600 1462 1853 6451 3000 0007 Identify practical use cases for AI Describe the ML development lifecycle Domain 2: Fundamentals of Generative AI 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 Domain 3: Applications of Foundation Models 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 Domain 4: Guidelines for Responsible AI Explain the development of AI systems that are responsible Recognize the importance of transparent and explainable models Domain 5: Security, Compliance, and Governance for AI Solutions Explain methods to secure AI systems Recognize governance and compliance regulations for AI systems REQUIREMENTS: 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

FAQs

What is the purpose of this AWS Certiﬁed AI Practitioner (AIF-C01) training?

It is a one-day ILT that helps participants assess their preparedness for the AWS Certified AI Practitioner (AIF-C01) exam and reinforces the exam topics through explanations and walkthroughs of exam-style questions.

What main knowledge domains are covered in the course?

The course conspect includes five domains: Fundamentals of AI and ML, Fundamentals of Generative AI, Applications of Foundation Models, Guidelines for Responsible AI, and Security, Compliance, and Governance for AI Solutions.

Is prior training required before taking the course, and what is recommended?

No specific training is required before taking the course. Recommended preparation includes familiarity with core AWS services, exposure to AI/ML on AWS for up to six months, understanding AWS shared responsibility, IAM basics, AWS regions and availability zones, and service pricing models.

Sep 20, 2026

Uploaded by Paura