AWS Certified AI Practitioner (AIF-C01) - 65 Q

The AWS Certified AI Practitioner (AIF-C01) exam is intended for individuals who can effectively demonstrate overall knowledge of AI/ML, generative AI technologies, and associated AWS services and tools, independent of a specific job role.

$59.00

Introduction

The AWS Certified AI Practitioner (AIF-C01) exam is intended for individuals who can effectively demonstrate overall knowledge of AI/ML, generative AI technologies, and associated AWS services and tools, independent of a specific job role.

The exam also validates a candidate’s ability to complete the following tasks:

• Understand AI, ML, and generative AI concepts, methods, and strategies in general and on AWS.

• Understand the appropriate use of AI/ML and generative AI technologies to ask relevant questions within the candidate’s organization.

• Determine the correct types of AI/ML technologies to apply to specific use cases.

• Use AI, ML, and generative AI technologies responsibly.


Included in this Course

This comprehensive AWS Certified AI Practitioner – Fundamentals practice exam question set includes 65 questions, covering five critical domains that provide a solid foundation for understanding AI and machine learning (ML) on AWS. These questions are carefully crafted to equip you with the essential knowledge and skills to pass the exam and apply AI concepts effectively.

Domain 1: Fundamentals of AI and ML introduces the core concepts of artificial intelligence and machine learning. You’ll explore the key principles of AI, common ML algorithms, and the role of data in training models, gaining a strong understanding of how these technologies work.

Domain 2: Fundamentals of Generative AI focuses on the basics of generative AI, including how models like GPT and other foundation models are trained to create text, images, and other content. You’ll learn about generative AI use cases and how AWS services like Amazon SageMaker can help build these models.

Domain 3: Applications of Foundation Models covers practical applications of large language models (LLMs) and foundation models in real-world scenarios. You’ll explore how AWS services facilitate the deployment of pre-trained models and how to fine-tune them for specific business use cases.

Domain 4: Guidelines for Responsible AI delves into ethical AI practices, ensuring AI systems are designed and implemented with fairness, transparency, and accountability. You’ll understand how to apply AWS’s Responsible AI guidelines to avoid bias, ensure fairness, and maintain trust in AI applications.

Domain 5: Security, Compliance, and Governance for AI Solutions emphasizes best practices for securing AI models, managing compliance, and governing AI deployments. You’ll learn how to protect sensitive data, adhere to legal standards, and govern AI solutions using AWS services like AWS IAM and Amazon GuardDuty.

By completing this course, you’ll be well-prepared for the AWS Certified AI Practitioner – Fundamentals exam and acquire a strong foundation in AI and ML concepts. With expert-led practice questions and hands-on learning, you’ll gain the confidence to implement AI solutions responsibly and securely on AWS.


Course Outline

This exam guide includes weightings, content domains, and task statements for the exam. This guide does not provide a comprehensive list of the content on the exam. However, additional context for each task statement is available to help you prepare for the exam.

The exam has the following content domains and weightings:

• Domain 1: Fundamentals of AI and ML (20% of scored content)

• Domain 2: Fundamentals of Generative AI (24% of scored content)

• Domain 3: Applications of Foundation Models (28% of scored content)

• Domain 4: Guidelines for Responsible AI (14% of scored content)

• Domain 5: Security, Compliance, and Governance for AI Solutions (14% of scored content)


Frequently asked questions

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