COURSE OVERVIEW
This course provides a comprehensive introduction to artificial intelligence (AI) and machine learning (ML) using
Amazon Web Services (AWS). Participants will explore AWS’s powerful suite of AI/ML tools and services, including
Amazon SageMaker, AWS AI APIs, and data engineering solutions that simplify building, training, and deploying models
at scale. Through hands-on labs, real world use cases, and guided demonstrations, participants will gain the knowledge
and skills to leverage AWS for automating workflows, extracting insights from data and accelerating innovation in their
organizations.

WHO SHOULD ATTEND?
This course is designed for data scientists, developers, cloud practitioners, business analysts, IT professionals, and
decision makers who want to understand how to apply AI and ML solutions on AWS. It is also suitable for professionals
looking to expand their skills in cloud-based machine learning, as well as organizations seeking to empower their teams
with practical, scalable AI/ML applications.

COURSE OUTCOMES
Delegates will gain the skills and knowledge to:
• Understand the core concepts of AI and ML and their practical applications on AWS.
• Gain hands-on experience with Amazon SageMaker for building, training, and deploying ML models.
• Integrate AWS AI services such as Rekognition, Comprehend, and Lex into applications.
• Apply best practices for data preparation, model optimization, and deployment at scale.
• Develop the ability to evaluate and choose appropriate AWS ML services for business needs.

KEY COURSE HIGHLIGHTS
At the end of the course, you will understand;
• Basics of AI and machine learning concepts and workflows.
• How to run end-to-end machine learning projects on AWS.
• Hands-on experience with SageMaker, Comprehend, and Rekognition.
• How to process data, engineer features, and tune deep learning models.
• How to build, train, and deploy machine learning models securely.
• Exposure to AWS AI devices like DeepLens and DeepRacer.
• Introduction to generative AI and large language models on AWS.

Course Booking

Please use the “book now” or “inquire” buttons on this page to either book your space or make further enquiries