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

Price
$695.00 USD

Duration
1 Day

 

Delivery Methods
Virtual Instructor Led
Private Group

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Course Overview

Exam Prep: AWS Certified AI Practitioner (AIF-C01) is a one-day ILT where you learn how to assess your preparedness for the AWS 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.

This 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.

Course 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.

Who Should Attend?

This course is intended for individuals who are preparing for the AWS Certified AI Practitioner (AIF-C01) exam
  • Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
  • Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
  • Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
  • Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
  • Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
  • Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

Learning Credits: Learning Credits can be purchased well in advance of your training date to avoid having to commit to specific courses or dates. Learning Credits allow you to secure your training budget for an entire year while eliminating the administrative headache of paying for individual classes. They can also be redeemed for a full year from the date of purchase. If you have previously purchased a Learning Credit agreement with New Horizons, you may use a portion of your agreement to pay for this class.

If you have questions about Learning Credits, please contact your Account Manager.

Corporate Tech Pass: Our Corporate Tech Pass includes unlimited attendance for a single person, in the following Virtual Instructor Led course types: Microsoft Office, Microsoft Technical, CompTIA, Project Management, SharePoint, ITIL, Certified Ethical Hacker, Certified Hacking Forensics Investigator, Java, Professional Development Courses and more. The full list of eligible course titles can be found at https://www.newhorizons.com/eligible.

If you have questions about our Corporate Tech Pass, please contact your Account Manager.

Course Prerequisites

You 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.

Recommended AWS knowledge

  • Familiarity with the core AWS services (for example, Amazon EC2, Amazon S3, AWS Lambda, and Amazon SageMaker AI) and AWS core services use cases.
  • Suggested to have up to 6 months of exposure to AI and ML technologies on AWS.

Agenda

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
 

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CourseID: 3606782E
 



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