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    Curso: Exam Prep: AWS Certified AI Practitioner (AIF-C01)

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    Sold by: Netec 
    Exam Prep: AWS Certified AI Practitioner (AIF-C01) is a one-day ILT designed to help your team assess their preparedness for the AWS Certified AI Practitioner (AIF-C01) exam. This certification validates in-demand knowledge of AI, machine learning (ML), and generative AI concepts and use cases. This intermediate-level course prepares your team for the AWS Certified AI Practitioner (AIF-C01) exam by providing a comprehensive exploration of the exam topics. They’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, participants will reinforce their knowledge, identify gaps in understanding, and gain valuable strategies for tackling questions effectively.

    Overview

    Objectives

    • Identify the scope and content tested by the AWS Certified AI Practitioner (AIF-C01) exam.
    • Practice exam style questions and evaluate your preparation strategy.
    • Examine use cases and differentiate between them.

    Course Outline

    Introduction

    Domain 1: Fundamentals of AI and ML

    • 1.1: Explain basic AI concepts and terminologies
    • 1.2: Identify practical use cases for AI
    • 1.3: Describe the ML development lifecycle

    Domain 2: Fundamentals of Generative AI

    • 2.1: Explain the basic concepts of generative AI
    • 2.2: Understand the capabilities and limitations of generative AI for solving business problems
    • 2.3: Describe AWS infrastructure and technologies for building generative AI applications

    Domain 3: Applications of Foundation Models

    • 3.1: Describe design considerations for applications that use foundation models
    • 3.2: Choose effective prompt engineering techniques
    • 3.3: Describe the training and fine-tuning process for foundation models
    • 3.4: Describe methods to evaluate foundation model performance

    Domain 4: Guidelines for Responsible AI

    • 4.1: Explain the development of AI systems that are responsible
    • 4.2: Recognize the importance of transparent and explainable models

    Domain 5: Security, Compliance, and Governance for AI Solutions

    • 5.1: Explain methods to secure AI systems
    • 5.2: Recognize governance and compliance regulations for AI systems

    Highlights

    • Add solutions to help your team adopt the technology: Netec Power Learning and Certification Assurance Program
    • Live virtual training/ILT: Taught by AWS Certified Instructors
    • Effective training on AWS

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