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Exam Prep: AWS Certified AI Practitioner (AIF-C01)
Duration
1 Day
Course
AWS-330
Available Formats
Classroom Training, Online Training
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Course Description
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 level: Intermediate
This course includes subject overview presentations, exam-style questions, use cases, and group discussions and activities.
Objectives
After completing this course, students will be able to:
- the scope and content tested by the AWS Certified AI Practitioner (AIF-C01) exam.
- exam style questions and evaluate your preparation strategy.
- use cases and differentiate between them.
Audience
This course is intended for individuals who are preparing for the AWS Certified AI Practitioner (AIF-C01) exam.
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:
- with the core AWS services (for example, Amazon EC2, Amazon S3, AWS Lambda, and Amazon SageMaker AI) and AWS core services use cases.
- to have up to 6 months of exposure to AI and ML technologies on AWS.
- familiar with, but do not necessarily build, solutions using AI and ML technologies on AWS.
- with the AWS shared responsibility model for security and compliance in the AWS Cloud.
- with AWS Identity and Access Management (IAM) for securing and controlling access to AWS resources.
- with the AWS global infrastructure, including the concepts of AWS Regions, Availability Zones, and edge locations.
- with AWS service pricing models.
Topics
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
Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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title
Please take a moment to fill out this form. We will get back to you as soon as possible.
All fields marked with an asterisk (*) are mandatory.