Exam Prep: AWS Certified AI Practitioner (AIF-C01)
Price
$900.00 (AUD) $900.00 (NZD)
Duration
1 Day
Modality
Live Online
Course code
AWS-CAI
Course Overview
Exam Prep: AWS Certified AI Practitioner (AIF-C01) is a one-day vILT 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.
Course Objectives
In this course, you will learn 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.
Target Audience
This course is intended for individuals who are preparing for the AWS Certified AI Practitioner (AIF-C01) exam
Prerequisites
We recommend that attendees of this workshop have the following prerequisites 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.
Target Audience
This course is intended for individuals who are preparing for the AWS Certified AI Practitioner (AIF-C01) exam
Prerequisites
We recommend that attendees of this workshop have the following prerequisites 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.
Module Breakdown - For a course module breakdown click here
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: Recognise 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: Recognise governance and compliance regulations for AI systems
Class Schedule
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