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Free Download [NEW] AWS Certified AI Practitioner AIF-C01 by Jairo Pirona Published 10/2024 Created by Jairo Pirona | Trainer & Solutions Architect. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 99 Lectures ( 8h 33m ) | Size: 3.3 GB Pass the AWS AI Practitioner AIF-C01 exam with this course by Jairo Pirona | Practice Exam included | All topics covered What you'll learn: PASS the AWS Certified AI Practitioner Exam (AIF-C01) Master key concepts of AI, machine learning, and generative AI. Identify real-world AI use cases in Amazon Web Services. Understand responsible practices and security in AI solutions. and more... Requirements: Basic computing and cloud skills. Access to an AWS account for hands-on practice. Interest in artificial intelligence and machine learning. Desire to obtain the AWS Certified AI Practitioner certification Description: Discover the future of Artificial Intelligence (AI) and Machine Learning (ML) with AWS. In this course, designed for the AWS Certified AI Practitioner exam, you will learn the fundamentals of artificial intelligence, machine learning, and deep learning, applied through AWS's advanced services. This course is focused on equipping you with the tools needed to understand, implement, and leverage AI solutions in the real world.Throughout the modules, you will explore essential concepts, practical use cases, and best practices for working with advanced technologies like generative AI. Additionally, we will delve into the importance of applying AI responsibly and securely, following industry standards.This is NOT a boring course of voice and PowerPoint lectures. Here I will discuss and present the material in an interactive and engaging style that will keep you interested and make it easier to understand. Check out the free videos available and you will see the difference!What will you learn?Fundamentals of Artificial Intelligence and Machine Learning (ML)You will understand the basics of AI and ML, including neural networks, computer vision, and natural language processing (NLP). We will examine the key differences between artificial intelligence, machine learning, and deep learning, and learn how to identify when it's appropriate to apply these technologies.Generative Artificial IntelligenceYou will discover how generative AI can create new content, such as text, images, and audio, from existing data. We'll see examples of generative models and their practical applications across industries, such as creative content generation, software development, and much more.Foundation Models and Fine-TuningYou will learn about pre-trained models and how to choose the right one for different scenarios. Additionally, you will explore fine-tuning techniques to optimize model performance and how to customize them for specific use cases.Responsible Artificial IntelligenceYou will understand the ethical principles of AI, including transparency, privacy, and bias mitigation. This module will also cover the tools AWS offers to ensure models are secure, explainable, and adhere to responsibility standards.Security, Compliance, and Governance for AI SolutionsYou will learn how to implement governance and security strategies for AI solutions, ensuring systems meet regulatory and best practice standards. This includes handling data securely and protecting models from potential vulnerabilities.Course Contents and Domain DistributionThe course is aligned with the five key domains of the AWS Certified AI Practitioner exam, providing a solid foundation to help you achieve certification. These domains are distributed as follows:Domain 1: Fundamentals of AI and ML (20% of scored content)Domain 2: Fundamentals of Generative AI (24% of scored content)Domain 3: Applications of Foundation Models (28% of scored content)Domain 4: Guidelines for Responsible AI (14% of scored content)Domain 5: Security, Compliance, and Governance for AI Solutions (14% of scored content)Who is this course for?This course is designed for anyone looking to gain a solid understanding of the principles of artificial intelligence and machine learning with AWS. You don't need to be an expert in programming or advanced mathematics; the course covers everything from basic concepts to more advanced applications, all in an accessible way. It is ideal for:Professionals seeking to enter the field of artificial intelligenceDevelopers looking to implement AI solutions on AWSBusiness leaders who want to integrate AI into their projectsCandidates for the AWS Certified AI Practitioner examPrerequisitesNo prior technical knowledge in AI or machine learning is required, but basic familiarity with AWS services and cloud computing concepts will help you get the most out of the course content. Who this course is for: Professionals seeking AWS Certified AI Practitioner certification. AI students interested in AWS cloud. Developers wanting to apply AI in business solutions. Executives looking to understand the value of AI for their business. 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Free Download Aws Certified Ai Practitioner Aif-C01 Exam Preparation Guide Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.28 GB | Duration: 3h 3m Your Fast Track to Acing the Certification Exam What you'll learn Understanding of important and essential exam preparation material Concised and summarized study notes Videos containing detailed explanations, advice, and tips Guidance on how to crack the exam Requirements Understanding of AWS services preferred Description AWS Certified AI Practitioner AIF-C01 Exam Preparation Guide is designed to help you efficiently prepare and pass the AWS Certified AI Practitioner exam. It provides a structured approach called the 6 Steps to Success, that ensures comprehensive learning, helps you build the foundational knowledge, and provides you with the right guidance and practical tips to clear the certification exam. There are two possible scenarios:Scenario 1: You are familiar with AWSIf you're already familiar with AWS, have passed the AWS Cloud Practitioner exam, or have previous work experience with AWS, I would suggest you visit the section 8: Refresh your AWS skills. It will help you refresh your foundational AWS concepts.Scenario 2: You are new to AWS If you are new to AWS, you should start your preparations with the study material for AWS Certified Cloud Practitioner exam. It is completely optional if you want to sign up for the AWS Certified Cloud Practitioner certification exam. But the preparation material is important as it will clear the foundational concepts and principles on AWS Cloud. Then, you should enroll in the course on Udemy entitled AWS Solution Architect Associate (SAA-C03): Exam Readiness by Amit Prabhu. My videos and study notes in the course will help you further reinforce the concepts better. Once you are familiar and confident about the AWS services, you can start with this course. AWS Certified AI Practitioner AIF-C01 Exam Preparation Guide is structured around the five domains of the exam, with study notes and videos for each task. My detailed study notes simplify and summarize essential concepts, providing you a good compilation of all the necessary and relevant exam preparation materials. The accompanying videos provide tips, advice, and helps you identify the critical concepts that have a probability of a question being asked around them in the certification exam. Once you complete this course, take sample practice tests available in a separate course entitled Practice Tests: AWS Certified AI Practitioner Exam (AIF-C01). After consistently scoring above 80-85%, you'll be ready to confidently sit for the exam.I am available to support and assist you. Please send me a connection request via LinkedIn. I will do my best to answer your questions and clear your doubts. Good luck with the exam preparation! Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Sign your coaching contract Section 2: Domain 1: Fundamentals of AI and ML Lecture 3 1.1 Explain basic AI concepts and terminologies Lecture 4 Study Notes 1.1 Explain basic AI concepts and terminologies Lecture 5 1.2 Identify practical use cases for AI. Lecture 6 Study Notes 1.2 Identify practical use cases for AI Lecture 7 1.3 Describe the ML development lifecycle Lecture 8 Study Notes 1.3 Describe the ML development lifecycle Section 3: Domain 2: Fundamentals of Generative AI Lecture 9 2.1 Explain the basic concepts of generative AI Lecture 10 Study Notes 2.1 Explain the basic concepts of generative AI Lecture 11 2.2 Capabilities and limitations of generative AI for solving business problems Lecture 12 Study Notes 2.2 Capabilities & limitations of genAI for solving business problem Lecture 13 2.3 Describe AWS infrastructure and technologies for building generative AI apps Lecture 14 Study Notes 2.3 Describe AWS infra and technologies for building genAI apps Section 4: Domain 3: Applications of Foundation Models Lecture 15 3.1 Design considerations for applications that use foundation models Lecture 16 Study Notes 3.1 Design considerations for apps that use foundation models Lecture 17 3.2 Choose effective prompt engineering techniques Lecture 18 3.3 Describe the training and fine tuning process for foundation models Lecture 19 Study Notes 3.2 Choose effective prompt engineering techniques Lecture 20 Study Notes 3.4 Describe methods to evaluate foundation model performance Lecture 21 Study Notes 3.3 Describe training and finetuning process for foundation models Lecture 22 3.4 Describe methods to evaluate foundation model performance Section 5: Domain 4: Guidelines for Responsible AI Lecture 23 4.1 Explain the development of AI systems that are responsible Lecture 24 Study Notes 4.1 Explain the development of AI systems that are responsible Lecture 25 4.2 Recognize the importance of transparent and explainable models Lecture 26 Study Notes 4.2 Recognize the importance of transparent and explainable models Section 6: Domain 5: Security, Compliance, and Governance for AI Solutions Lecture 27 5.1 Explain methods to secure AI systems Lecture 28 Study Notes 5.1 Explain methods to secure AI systems Lecture 29 5.2 Recognize governance and compliance regulations for AI systems Lecture 30 Study Notes 5.2 Recognize governance and compliance regulations for AI systems Section 7: Important AWS Services Lecture 31 Important AWS Services Section 8: Refresh your AWS Skills Lecture 32 Refresh your AWS Skills Section 9: Conclusion Lecture 33 Conclusion AWS AI Practitioner Certification aspirants Homepage https://www.udemy.com/course/aws-certified-ai-practitioner-aif-exam-preparation-guide_amitprabhu/ TakeFile https://takefile.link/0sptcflya49m/sxwpx.Aws.Certified.Ai.Practitioner.AifC01.Exam.Preparation.Guide.part1.rar.html https://takefile.link/2xxygj2phzbp/sxwpx.Aws.Certified.Ai.Practitioner.AifC01.Exam.Preparation.Guide.part2.rar.html Rapidgator https://rg.to/file/d31ea7af2ae72553ec84bdfb7a8bf4a0/sxwpx.Aws.Certified.Ai.Practitioner.AifC01.Exam.Preparation.Guide.part1.rar.html https://rg.to/file/e86a915738b623049cdb9582809f985f/sxwpx.Aws.Certified.Ai.Practitioner.AifC01.Exam.Preparation.Guide.part2.rar.html Fikper Free Download https://fikper.com/0IKEx0i7Tg/sxwpx.Aws.Certified.Ai.Practitioner.AifC01.Exam.Preparation.Guide.part1.rar.html https://fikper.com/AIQFtic3uG/sxwpx.Aws.Certified.Ai.Practitioner.AifC01.Exam.Preparation.Guide.part2.rar.html No Password - Links are Interchangeable