{"product_id":"exam-prep-aws-certified-ai-practitioner","title":"Exam Prep: AWS Certified AI Practitioner","description":"\u003cdiv\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eExam Prep: AWS Certified AI Practitioner Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this AWS Course, you will:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIdentify the scope and content tested by the AWS Certified AI Practitioner (AIF-C01) exam.\u003c\/li\u003e\n\u003cli\u003ePractice exam style questions and evaluate your preparation strategy.\u003c\/li\u003e\n\u003cli\u003eExamine use cases and differentiate between them.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003ePrerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eYou 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.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eRecommended AWS knowledge \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFamiliarity with the core AWS services (for example, Amazon EC2, Amazon S3, AWS Lambda, and Amazon SageMaker AI) and AWS core services use cases.\u003c\/li\u003e\n\u003cli\u003eSuggested to have up to 6 months of exposure to AI and ML technologies on AWS.\u003c\/li\u003e\n\u003cli\u003eAre familiar with, but do not necessarily build, solutions using AI and ML technologies on AWS.\u003c\/li\u003e\n\u003cli\u003eFamiliarity with the AWS shared responsibility model for security and compliance in the AWS Cloud.\u003c\/li\u003e\n\u003cli\u003eFamiliarity with AWS Identity and Access Management (IAM) for securing and controlling access to AWS resources.\u003c\/li\u003e\n\u003cli\u003eFamiliarity with the AWS global infrastructure, including the concepts of AWS Regions, Availability Zones, and edge locations.\u003c\/li\u003e\n\u003cli\u003eFamiliarity with AWS service pricing models.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eThe following courses (or similar) are recommended but not required. \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFundamentals of Machine Learning and Artificial Intelligence (1 hour)\u003c\/li\u003e\n\u003cli\u003eExploring Artificial Intelligence Use Cases and Applications (1 hour)\u003c\/li\u003e\n\u003cli\u003eResponsible Artificial Intelligence Practices (1 hour)\u003c\/li\u003e\n\u003cli\u003eDeveloping Machine Learning Solutions (1 hour)\u003c\/li\u003e\n\u003cli\u003eDeveloping Generative Artificial Intelligence Solutions (1 hour)\u003c\/li\u003e\n\u003cli\u003eEssentials of Prompt Engineering (1 hour)\u003c\/li\u003e\n\u003cli\u003eOptimizing Foundation Models (1 hour)\u003c\/li\u003e\n\u003cli\u003eSecurity, Compliance, and Governance for AI Solutions (1 hour)\u003c\/li\u003e\n\u003cli\u003eGenerative AI for Executives (0.25 hour)\u003c\/li\u003e\n\u003cli\u003eAmazon Q Business Getting Started (0.75 hour)\u003c\/li\u003e\n\u003cli\u003eAmazon Bedrock Getting Started (1 hour)\u003c\/li\u003e\n\u003cli\u003eGetting Started with Amazon Comprehend: Custom Classification (1.25 hours)\u003c\/li\u003e\n\u003cli\u003eBuild a Question-Answering Bot Using Generative AI (1.5 hours)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eAWS Certified AI Practitioner Exam Prep Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eDomain 1: Fundamentals of AI and ML \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e1.1: Explain basic AI concepts and terminologies\u003c\/p\u003e\n\u003cp\u003e1.2: Identify practical use cases for AI\u003c\/p\u003e\n\u003cp\u003e1.3: Describe the ML development lifecycle\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eDomain 2: Fundamentals of Generative AI\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e2.1: Explain the basic concepts of generative AI\u003c\/p\u003e\n\u003cp\u003e2.2: Understand the capabilities and limitations of generative AI for solving business problems\u003c\/p\u003e\n\u003cp\u003e2.3: Describe AWS infrastructure and technologies for building generative AI applications\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eDomain 3: Applications of Foundation Models \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e3.1: Describe design considerations for applications that use foundation models\u003c\/p\u003e\n\u003cp\u003e3.2: Choose effective prompt engineering techniques\u003c\/p\u003e\n\u003cp\u003e 3.3: Describe the training and fine-tuning process for foundation models\u003c\/p\u003e\n\u003cp\u003e 3.4: Describe methods to evaluate foundation model performance\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eDomain 4: Guidelines for Responsible AI \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e4.1: Explain the development of AI systems that are responsible\u003c\/p\u003e\n\u003cp\u003e4.2: Recognize the importance of transparent and explainable models\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eDomain 5: Security, Compliance, and Governance for AI Solutions \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e5.1: Explain methods to secure AI systems\u003c\/p\u003e\n\u003cp\u003e5.2: Recognize governance and compliance regulations for AI systems\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"268C14US \/ 2026-08-10T09:00:00 \/ Online","offer_id":52403369574763,"sku":"US-1968-IL","price":806.0,"currency_code":"USD","in_stock":true},{"title":"269A29CN \/ 2026-09-21T09:00:00 \/ 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