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The AWS Certified AI Practitioner (AIF-C01) exam validates in-demand knowledge of AI, machine learning (ML), and generative AI concepts and use cases.  \nThis 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.  \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.  \nIntended audience  \nThis course is intended for individuals who are preparing for the AWS Certified AI Practitioner (AIFC01) exam.  \nCONSPECT:  \n Domain 1: Fundamentals of AI and ML  \n Explain basic AI concepts and terminologies  \n\n| [www.compendium.pl](www.compendium.pl) | page 1 of 3 |\n| --- | --- |\n\nCompendium Centrum Edukacyjne Spółka z o.o.  \nul. Tatarska 5, 30-103 Kraków, tel.: (12) 298 47 77  \nul. Postępu 18B, 02-676 Warszawa, tel.: (22) 417 41 70  \nBNP Paribas Bank Polska S.A. EUR: PL 79 1600 1462 1853 6451 3000 0006 USD: PL 52 1600 1462 1853 6451 3000 0007  \nIdentify practical use cases for AI  \n Describe the ML development lifecycle  \n Domain 2: Fundamentals of Generative AI  \n Explain the basic concepts of generative AI  \n Understand the capabilities and limitations of generative AI for solving business problems  \n Describe AWS infrastructure and technologies for building generative AI applications  \n Domain 3: Applications of Foundation Models  \n Describe design considerations for applications that use foundation models  \n Choose effective prompt engineering techniques  \n Describe the training and fine-tuning process for foundation models  \n Describe methods to evaluate foundation model performance  \n Domain 4: Guidelines for Responsible AI  \n Explain the development of AI systems that are responsible  \n Recognize the importance of transparent and explainable models  \n Domain 5: Security, Compliance, and Governance for AI Solutions  \n Explain methods to secure AI systems  \n Recognize governance and compliance regulations for AI systems  \nREQUIREMENTS:  \nYou 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.  \nRecommended AWS knowledge  \n Familiarity with the core AWS services (for example, Amazon EC2, Amazon S3, AWS Lambda, and Amazon SageMaker AI) and AWS core services use cases.  \n Suggested to have up to 6 months of exposure to AI and ML technologies on AWS.  \n Are familiar with, but do not necessarily build, solutions using AI and ML technologies on AWS.  \n Familiarity with the AWS shared responsibility model for security and compliance in the AWS Cloud.  \n Familiarity with AWS Identity and Access Management (IAM) for securing and controlling access to AWS resources.  \n Familiarity with the AWS global infrastructure, including the concepts of AWS Regions","cbCaifqFuqqBD5XQ","https://ap.wps.com/l/cbCaifqFuqqBD5XQ","pdf",41902,"English","# Training goals and course objectives\n## Course objectives and intended audience\n## Conspect domains\n## Requirements and recommended AWS knowledge\n## Certificate and trainer","[{\"question\":\"What is the purpose of this AWS Certified AI Practitioner (AIF-C01) training?\",\"answer\":\"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.\"},{\"question\":\"What main knowledge domains are covered in the course?\",\"answer\":\"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.\"},{\"question\":\"Is prior training required before taking the course, and what is recommended?\",\"answer\":\"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.\"}]","AWS - Exam Prep: AWS Certified AI Practitioner (AIF-C01) - Training Goals and Course Objectives | PDF",1789934067]