2 Practice Exams | AWS Certified AI Practitioner - AIF-C01

Prepare for the AWS Certified AI Practitioner (AIF-C01) certification with this comprehensive course! This program provides a strong foundation in Artificial Intelligence (AI), Machine Learning (ML), and generative AI specifically within the AWS ecosystem.

This course is perfect for professionals – including business analysts, IT support specialists, product managers, and sales professionals – who have some prior experience (up to six months) with AI/ML on Amazon Web Services (AWS). It's designed to help you confidently communicate your understanding of AI/ML and generative AI and make informed decisions about when and how to leverage AWS services. You'll focus on understanding and application, not deep technical coding.

Prerequisites: Familiarity with core AWS services like Amazon EC2, S3, Lambda, and SageMaker, a grasp of the AWS shared responsibility model, and understanding of AWS Identity and Access Management (IAM) are beneficial.

Upon completion, you will be able to:

• Explain core AI/ML and generative AI concepts, including their capabilities and limitations (like understanding "hallucinations").
• Identify and select the right AWS AI/ML services for diverse applications, including Amazon SageMaker, Amazon Bedrock, Amazon Comprehend, and Amazon Rekognition.
• Apply generative AI techniques such as prompt engineering and understand advanced concepts like Retrieval Augmented Generation (RAG).
• Implement responsible AI practices, including bias mitigation using tools like Amazon SageMaker Clarify and Guardrails for Amazon Bedrock.
• Ensure security, compliance, and governance for your AI solutions on AWS using services like AWS KMS and CloudTrail.

This course prioritizes conceptual understanding and practical application, empowering you to effectively participate in AI initiatives and collaborate successfully with data science teams. Gain the skills to confidently navigate the world of AI on AWS and achieve your AWS certification goals.