AWS Certified AI Practitioner

In this course, you’ll gain all the knowledge needed to pass your AWS Certified AI Practitioner exam while building a solid understanding of AI concepts and best practices.

This AWS AI Practitioner course teaches key concepts in AI, ML, and generative AI. It focuses on understanding AWS services, choosing the right technologies for different use cases, and promoting responsible AI practices.

About the Course

This comprehensive training course prepares you for the AWS Certified AI Practitioner exam – a new and highly popular Foundational-level certification from AWS.

Course Overview

The AWS Certified AI Practitioner course prepares learners to confidently understand and discuss artificial intelligence (AI), machine learning (ML), and generative AI—specifically within AWS contexts. This foundational-level course is built for professionals who may use AI/ML concepts but don’t necessarily build the models themselves. You’ll explore core AI/ML ideas, AWS services like SageMaker and Bedrock, and how to apply these technologies responsibly and effectively in real business contexts. The curriculum is structured to guide you through exam domains, such as foundational AI concepts, generative AI, ethical AI, and security—equipping you for the AIF-C01 certification exam.

Course Outcomes

Upon completing the course, learners will:

Understand AI/ML and generative AI fundamentals, including concepts like large language models and prompt engineering.
Identify appropriate use cases for AI/ML technologies and match them with AWS services.
Apply responsible AI principles, such as fairness, transparency, and bias mitigation.
Gain awareness of AI security and governance, understanding compliance, encryption, and policy considerations.
Be ready to pass the AIF-C01 exam, with familiarity of exam formats, question types, structure, and scoring (minimum passing score: 700 out of 1,000).

Career Path

Earning the AWS Certified AI Practitioner credential can open doors across many roles and industries, particularly for professionals in non-technical roles who want to build AI fluency. Examples of roles that benefit:

Business Analysts, Sales & Marketing Professionals, Product or Project Managers, IT Managers, and other stakeholders who work with AI-powered tools.

In terms of impact:

AWS data shows employers may be willing to offer 41–47% higher salaries for roles requiring AI-related skills (e.g., in marketing, finance, operations, IT).
AI skills continue to grow in demand—LinkedIn reports a 74% annual growth in AI/ML roles.
This certification serves as a strong foundation for progressing toward more advanced roles like AWS Certified Machine Learning Engineer – Associate, AWS Solutions Architect roles, or higher-level AI and cloud roles.