Course Summary

AWS Certified AI Practitioner (AIF-C01): Fundamentals of AI and ML. This course teaches you the fundamental concepts of artificial intelligence (AI) and machine learning (ML). You will learn about key concepts, applications, and managed AI and ML services on AWS. The goal of this course is to prepare you to pass the AWS Certified AI Practitioner exam. Artificial intelligence and machine learning are two transformative technologies that are driving innovation today. In this course, you will learn the core concepts required for the first part of the AWS AIP exam. First, you will explore foundational topics such as deep learning, neural networks, natural language processing (NLP), training and inference, bias, fairness, and large language models (LLM). Then, you will explore how all of these concepts fit into the ML pipeline. Finally, you will learn about AWS services such as Amazon Rekognition, Amazon Textract, Amazon Comprehend, and Amazon SageMaker to understand how AWS provides managed AI and ML services. After completing this course, you will have the skills and knowledge needed to face the first part of the AWS exam and understand the theoretical and practical aspects of AL and ML in the AWS ecosystem. What you will learn: Basic concepts of artificial intelligence and machine learning Real-world applications of artificial intelligence and machine learning Managed AI and ML Services on AWS How to build and train machine learning models Ethical challenges and considerations in artificial intelligence This course is suitable for people who: Want to work in the field of artificial intelligence and machine learning Want to prepare for the AWS Certified AI Practitioner exam Are looking to increase their knowledge of AWS cloud services Are interested in learning complex concepts in simple language