Prepare yourself for the AWS Certified AI Practitioner certification exam

What you'll learn
Students will gain a strong foundation knowledge on Machine Learning and Artificial Intelligence.
Students will get lots of hands-on view onto using services on AWS for Machine Learning and Artificial Intelligence
Students will familiarize with services such as Amazon SageMaker, Bedrock and other services related to the field of Machine Learning and AI
Students will gain foundation knowledge when it comes to Generative AI.
Students will be better prepared to attempt the AWS Certified AI Practitioner exam.

Requirements
No prior knowledge is needed on Machine Learning and Artificial Intelligence. We will cover all core concepts in this course.
No prior knowledge is needed on AWS. We will learn in the course itself on how to use the services when it comes to Machine Learning and Artificial Intelligence.

Description
Few words have been spoken more often than 'Generative AI' in today's world. We are witnessing an extraordinary transformation, and it's crucial that we stay prepared and up-to-date with advancements in Artificial Intelligence.The AWS Certified AI Practitioner exam is an excellent starting point. This exam covers the foundational aspects of Machine Learning and AI services offered on AWS, providing a solid foundation for anyone looking to enter the AI field.So what all are we going to cover in this courseFirst and foremost we'll cover the foundational aspects of Machine Learning - We'll learn about the Machine Learning process, how data plays an important role.Then we move into using tools such as Amazon SageMaker Canvas, Data Wrangler to create our Machine Learning model. We'll see how to perform classification and regression from a no-coding aspect.When it comes to Machine Learning, we'll also go through important aspects such as Responsible AI, MLOps, Machine Learning Lifecycle - AWS Well-Architected Framework etc.Then we will move onto learning about the different AWS Managed AI services. This includes the Amazon Comprehend, Amazon Rekognition and other AWS Managed AI services.Then we'll push into learning about Generative AI. We will first have a quick overview on the different foundation models such as OpenAI GPT, Anthropic Claude etc.Next, we'll move onto using Amazon Bedrock on AWS. Will look into using the foundation models available on Amazon Bedrock. Look at the ever important aspect of Prompt Engineering.Next will dive into Security, Governance and Security. We will understand how services like AWS CloudWatch, AWS CloudTrail and many others can supplement the security aspect of our AI-based applications.Finally we have a Practice Test Section - As part of this course, you will have free access to two practice tests with 50 questions each. These will allow you to assess your understanding and gauge how well you've grasped the key concepts covered throughout the course.It's the future and its now. Start your path into the world of Artificial Intelligence.

Who this course is for:
This course is for students who wants to enter the world of Machine Learning, Artificial Intelligence and Gen-AI. This course will teach students on how to use services on AWS when it comes to Machine Learning, Artificial Intelligence and Gen-AI. This course is meant for students who wants to give the AWS Certified AI Practitioner exam., This course will teach students on how to use services on AWS when it comes to Machine Learning, Artificial Intelligence and Gen-AI., This course is meant for students who want to give the AWS Certified AI Practitioner exam.

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