AWS AI Fundamentals

Course Overview

This course introduces artificial intelligence and machine learning concepts in the context of AWS services. You will learn the difference between AI, ML, and generative AI, key AWS AI services (Rekognition, Textract, Comprehend, Polly, Lex, Bedrock), responsible AI principles, and how to evaluate AI solutions for business use cases. No programming experience required. Aligned to the AWS AI Practitioner (AIF-C01) exam.

What You Will Learn

• Explain core AI and ML concepts to stakeholders
• Identify appropriate AWS AI services for business needs
• Understand generative AI and large language models
• Apply responsible AI principles
• Prepare for the AWS AI Practitioner exam

Course Modules

• AI vs ML vs generative AI — core concepts
• AWS AI service overview: vision, language, speech
• Amazon Bedrock and foundation models
• Prompt engineering basics
• Responsible AI and bias considerations
• AI use cases by industry
• Cost and performance trade-offs
• AIF-C01 exam preparation

Who Is This Course For?

This course is designed for IT professionals, cloud engineers, developers, and business professionals seeking to build expertise in Amazon Web Services services. Whether you are starting your cloud journey or advancing toward a professional-level certification, our structured learning path and hands-on labs will prepare you thoroughly.

Prerequisites

Basic IT literacy and familiarity with computing concepts is recommended. Specific technical prerequisites vary by level — Foundational courses have no prior experience requirement. Associate and Professional courses benefit from prior cloud exposure.

Delivery & Access

• Blended, online, onsite or on-demand delivery — your choice of format
• Hands-on labs with real environments
• Instructor Q&A support for 30 days
• Verified certificate of completion by BITA
• Study guides, practice questions and reference materials included

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