Academy | Syllabus

AWS Certified AI Practitioner

The AWS Certified AI Practitioner program is designed to provide a comprehensive introduction to Artificial Intelligence (AI) and Machine Learning (ML) on the AWS Cloud. This course covers everything from foundational ML concepts to the latest innovations in Generative AI. Participants will learn how to identify AI/ML use cases, understand the AWS global infrastructure for AI, and explore specialized AWS services like Amazon Bedrock and Amazon SageMaker. This training prepares participants to pass the official AWS AIF-C01 exam while gaining the skills to participate in AI-driven business transformations.

Trusted by OrganizationsProven by Professionals

+21

Years of Experiences

+6.000

Delivered Training Programs

+50.000

Professionals

90%

Exam Pass Rate

Program Details

Durations

This program is a 5-day intensive training class.

Method of Delivery

The program provided by Multimatics will be delivered through interactive presentation by professional instructor(s), group debriefs, individual and team exercises, behavior modelling and roleplays, one-to-one and group discussion, case studies, and projects.

Who Should Attend?

This certification is intended for a variety of professionals, not just engineers.

Sales & Marketing Professionals
Product & Project Managers
Decision Makers/Executives
Business Analysts
Cloud Practitioners
Data Engineers
IT Support & Security
Students/Job Seekers looking to validate their "AI Literacy" in the current job market.

Program Objectives

By the end of this program, participants will be able to:

Define and explain core AI, ML, and Generative AI concepts and terminologies.
Identify and differentiate between various types of ML (Supervised, Unsupervised, Reinforcement).
Describe the Generative AI lifecycle and the role of Foundation Models (FMs).
Utilize AWS AI services for computer vision, NLP, and speech processing.
Master Prompt Engineering techniques specifically for Amazon Bedrock.
Apply AWS Responsible AI principles to ensure security, privacy, and fairness.
Understand the cost and performance implications of AI workloads on AWS.