- Course overview
- Course details
- Prerequisites
Course overview
About this course
This 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.
Audience profile
This course is intended for individuals who are preparing for the AWS Certified AI Practitioner (AIF-C01) exam.
Course details
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
Prerequisites
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.
- Are familiar with, but do not necessarily build, solutions using AI and ML technologies on AWS.
- Familiarity with the AWS shared responsibility model for security and compliance in the AWS
Cloud. - Familiarity with AWS Identity and Access Management (IAM) for securing and controlling
access to AWS resources. - Familiarity with the AWS global infrastructure, including the concepts of AWS Regions,
Availability Zones, and edge locations - Familiarity with AWS service pricing models.
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Course : Exam Prep: AWS Certified AI Practitioner (AIF-C01)
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request for : Exam Prep: AWS Certified AI Practitioner (AIF-C01)
