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

by Noreen Hasan

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.

What you'll learn

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.

About the author

Noreen Hasan has been a software engineer for over a decade in several industries ranging from startups to financial institutions. Her focus was on iOS mobile development, and in the last years her focus shifted to AWS and cloud computing. Her mantra has always been 'Building to Solve, Building to Empower' because solving problems and empowering others is the main reason she feels fulfilled in this field. When she is not developing technical solutions, she enjoys swimming, Zumba, reading and l... more

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