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([excl. tax](excl. tax)) Duration 1 days  \nCourse Overview  \nExam Prep: AWS Certified AI Practitioner (AIF-C01) is a one-day ILT where you learn how to assess your preparedness fortheAWS 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.  \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 honeyour 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.  \nWho should attend  \n This course is intended for individuals who are preparing for the AWS Certified AI Practitioner (AIF-C01) exam.  \nPrerequisites  \nYou are not required to take any specific training before taking this course. However, the following prerequisite knowledge is recommended prior to taking theAWS Certified AI Practitioner (AIFC01) 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  \nML 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, Availability Zones, and edge locations.  \n Familiarity with AWS service pricing models.  \nRecommended courses  \nThe following courses (or similar) are recommended but not required.  \n Fundamentals of Machine Learning and Artificial Intelligence (1 hour)  \n Exploring Artificial Intelligence Use Cases and Applications (1 hour)  \n Responsible Artificial Intelligence Practices (1 hour)  \n Developing Machine Learning Solutions (1 hour)  \n Developing Generative Artificial Intelligence Solutions (1 hour)  \n Essentials of Prompt Engineering (1 hour)  \n Optimizing Foundation Models (1 hour)  \n Security, Compliance, and Governance for AI Solutions (1 hour)  \n Generative AI for Executives (GENAIEX)  \n Amazon Q Business Getting Started (0 .75 hour)  \n Amazon Bedrock Getting Started (1 hour)  \n Getting Started with Amazon Comprehend: Custom Classification (1 .25 hours)  \n Build a Question-Answering Bot Using Generative AI (1 .5 hours)  \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  \n[www.flane.de / www.flane.ch](www.flane.de / www.flane.ch)  \npreparation strategy.  \n Examine use cases and differentiate between them.  \nCourse Content  \nThis course includes subject overview presentations, exam-style questions, use cases, and group discussions and activities.  \nDetailed Course Outline  \nIntroduction  \nDomain 1: Fundamentals of AI and ML  \n 1. 1: Explain basic AI concepts and terminologies  \n 1.2: Identify practical use cases for AI  \n 1.3: Describe the ML development lifecycle  \nDomain 2: Fundamentals of Generative AI  \n 2. 1: Explain the basic c","cbCaintRZxAeccqz","https://ap.wps.com/l/cbCaintRZxAeccqz","pdf",617336,"English","# Course Overview\n## Who should attend\n## Prerequisites\n## Course Objectives\n## Course Content\n## Detailed Course Outline\n## Course completion\n## About Fast Lane","[{\"question\":\"What is the main goal of the AWS Certified AI Practitioner (AIF-C01) EPCAIP course?\",\"answer\":\"It prepares learners for the AWS Certified AI Practitioner (AIF-C01) exam by covering the exam topic scope and helping them practice exam-style questions and readiness strategies.\"},{\"question\":\"What topics are included in the detailed course outline?\",\"answer\":\"The outline covers AI and ML fundamentals, generative AI fundamentals, foundation model application design and prompt engineering, responsible AI guidelines, and security, compliance, and governance for AI solutions.\"},{\"question\":\"Are specific prerequisites required before attending?\",\"answer\":\"No specific training is required, but recommended knowledge includes core AWS services and use cases, AI/ML exposure on AWS, shared responsibility model concepts, IAM familiarity, infrastructure concepts, and AWS service pricing models.\"}]","Exam Prep: AWS Certified AI Practitioner (AIF-C01) (EPCAIP) - Course Overview | PDF",1789932403]