Aws Certified Ai Practitioner Aif-C01 Exam Preparation Guide

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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

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