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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.  \nThe 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.  \nRequired Exams  \nCandidates earn their AWS Certified AI Practitioner certification by successfully completing one exam: AWS Certified AI Practitioner (AIF-C01)  \nAudience Profile  \nThis course is intended for individuals who are preparing for the AWS Certified AI Practitioner (AIF-C01) exam.  \nCourse Objectives  \nIn this course, you will learn to:  \n* Identify the scope and content tested by the AWS Certified AI Practitioner (AIF-C01) exam.  \n* Practice exam style questions and evaluate your preparation strategy.  \n* Examine use cases and differentiate between them.  \nOutline  \nModule 1: Fundamentals of AI and ML1 . 1: Explain basic AI concepts and terminologies  \n1.2: Identify practical use cases for AI  \n1.3: Describe the ML development lifecycle  \nModule 2: Fundamentals of Generative AI2 . 1: Explain the basic concepts of generative AI  \n2.2: Understand the capabilities and limitations of generative AI for solving business problems  \n2.3: Describe AWS infrastructure and technologies for building generative AI applications  \nModule 3: Applications of Foundation Models3 . 1: Describe design considerations for applications that use foundation models  \n3.2: Choose effective prompt engineering techniques  \n3.3: Describe the training and fine-tuning process for foundation models  \n3.4: Describe methods to evaluate foundation model performance  \nModule 4: Guidelines for Responsible AI4 . 1: Explain the development of AI systems that are responsible  \n4.2: Recognize the importance of transparent and explainable models  \nModule 5: Security, Compliance, and Governance for AI Solutions5 . 1: Explain methods to secure AI systems  \n5.2: Recognize governance and compliance regulations for AI systems","cbCaicFL2gDpMwzD","https://ap.wps.com/l/cbCaicFL2gDpMwzD","pdf",25802,"English","# About This Course\n# Required Exams\n# Audience Profile\n# Course Objectives\n# Outline\n## Module 1: Fundamentals of AI and ML\n## Module 2: Fundamentals of Generative AI\n## Module 3: Applications of Foundation Models\n## Module 4: Guidelines for Responsible AI\n## Module 5: Security, Compliance, and Governance for AI Solutions","[{\"question\":\"What exam does this course prepare for?\",\"answer\":\"The course prepares learners for the AWS Certified AI Practitioner certification exam, AWS Certified AI Practitioner (AIF-C01).\"},{\"question\":\"What will you learn in terms of exam scope and preparation strategy?\",\"answer\":\"Learners will identify the scope and content tested by AIF-C01, practice exam-style questions, and evaluate their preparation strategy to address gaps effectively.\"},{\"question\":\"Which technical areas are covered in the course modules?\",\"answer\":\"Modules cover AI and ML fundamentals, generative AI fundamentals, foundation model application design including prompt engineering, evaluation of foundation model performance, responsible AI guidelines, and security, compliance, and governance methods.\"}]","AWS Certified AI Practitioner - Exam Preparation | PDF",1789932398]