Exam Prep: AWS Certified AI Practitioner

Length 1 day
Price NZD 895 exc GST

Course overview

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Why study this course

The Exam Prep: AWS Certified AI Practitioner (AIF-C01) is a one-day course 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 recognise 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.

This course includes subject overview presentations, exam-style questions, use cases, and group discussions and activities.

Please note: The exam is not included in the course fee but can be purchased separately. Please contact us for a quote.

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What you’ll learn

This course is designed to teach participants how to:

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

AWS at Lumify Work

Lumify Work is an official AWS Training Partner for Australia, New Zealand, and the Philippines. Through our Authorised AWS Instructors, we can provide you with a learning path that’s relevant to you and your organisation, so you can get more out of the cloud. We offer virtual and face-to-face classroom-based training to help you build your cloud skills and enable you to achieve industry-recognised AWS Certification.

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Who is the course for?

This course is intended for individuals who are preparing for the AWS Certified AI Practitioner (AIF-C01) exam.

Course subjects

Domain 1: Fundamentals of AI and ML

Explain basic AI concepts and terminologies
Identify practical use cases for AI
Describe the ML development lifecycle

Domain 2: Fundamentals of Generative AI

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

Domain 3: Applications of Foundation Models

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

Domain 4: Guidelines for Responsible AI

Explain the development of AI systems that are responsible
Recognise the importance of transparent and explainable models

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

Explain methods to secure AI systems
Recognise governance and compliance regulations for AI systems

Please note: This is an emerging technology course. Course outline is subject to change as needed.

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.

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.