AWS Certified AI Practitioner (AIF-C01): Fundamentals of AI and ML
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.
Table of contents
- Introducing AWS AI/ML Services 2m
- Vision: Amazon Rekognition 3m
- Vision: Amazon Textract 2m
- Language: Amazon Comprehend 3m
- Language: Amazon Translate 3m
- Speech: Amazon Polly 3m
- Speech: Amazon Transcribe 3m
- Chatbots: Amazon Lex 2m
- Forecasting: Amazon Forecast 1m
- Personal Assistants: Amazon Kendra 1m
- Recommendations: Amazon Personalize 2m
- Exam Tips 3m