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Pluralsight

AWS Certified AI Practitioner (AIF-C01): Fundamentals of AI and ML

via Pluralsight

Overview

This course will teach you the fundamentals of AI and ML, including key concepts, use cases, and AWS-managed AI and ML services, to understand what you need to know to succeed on the AWS Certified AI Practitioner exam.

AI and ML are two of the most transformative technologies driving innovation today. In this course, AWS Certified AI Practitioner (AIF-C01): Fundamentals of AI and ML, you’ll learn to understand the core concepts needed for the first domain of the AWS AIP exam. First, you’ll explore foundational topics like deep learning, neural networks, natural language processing (NLP), training and inferencing, bias, fairness, and large language models (LLM). Next, you’ll explore how all these concepts fit within the ML pipeline. Finally, you’ll delve into AWS services, such as Amazon Rekognition, Amazon Textrack, Amazon Comprehend, and Amazon SageMaker, to learn how AWS offers managed AI and ML services. When you’re finished with this course, you’ll have the skills and knowledge needed to confidently approach the first domain of the AWS exam, understanding both the theoretical and practical aspects of AL and ML in the AWS ecosystem.

Syllabus

  • Introducing Basic AI and ML Concepts 37mins
  • The Machine Learning Pipeline 35mins
  • AWS Managed AI/ML Services and Applications 28mins
  • Unpacking Amazon SageMaker 15mins
  • Exam Question Review 6mins

Taught by

Noreen Hasan

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