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

This course is meticulously designed to prepare individuals for the AWS Certified AI Practitioner (AIF-C01) certification, validating a foundational understanding of Artificial Intelligence (AI), Machine Learning (ML), and generative AI technologies within the AWS ecosystem.

This course is ideal for professionals across diverse roles—including business analysts, IT support, product managers, and sales professionals—who possess up to six months of exposure to AI/ML technologies on AWS. It's for those who need to effectively articulate their knowledge of AI/ML and generative AI and understand when to apply AWS services, rather than focusing on deep technical implementation or coding.

Learners should be familiar with core AWS services (like Amazon EC2, S3, Lambda, and SageMaker), the AWS shared responsibility model, and AWS Identity and Access Management (IAM).

Upon completion, you will be able to:

• Articulate core AI/ML and generative AI concepts, understanding their capabilities and inherent limitations like "hallucinations".

• Determine and select appropriate AWS AI/ML services for various use cases, such as Amazon SageMaker, Amazon Bedrock, Amazon Comprehend, and Amazon Rekognition.

• Apply practical generative AI techniques like prompt engineering and understand advanced concepts such as Retrieval Augmented Generation (RAG).

• Implement responsible AI practices, including bias mitigation with tools like Amazon SageMaker Clarify and Guardrails for Amazon Bedrock, and ensure security, compliance, and governance for AI solutions on AWS using services like AWS KMS and CloudTrail.

The course emphasizes conceptual comprehension and high-level application, enabling you to effectively engage with AI initiatives and collaborate with data science teams.