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AWS Certified AI Business Strategist (AIB) Exam Prep Course

AWS Certified AI Business Strategist (AIB) Exam Prep Course

Pass the AIB-C01 exam: AI & GenAI fundamentals, AWS AI services, business frameworks for AI adoption, practice tests
Last updated 9/2026
English

What you'll learn

  • Understand the exam domains and question style of the AWS Certified AI Business Strategist (AIB-C01) exam
  • Explain the basics of AI, machine learning, and generative AI, including prompt engineering, foundation models, and inference parameters
  • Apply business frameworks for AI adoption: use cases, build/buy/partner, KPIs, ROI, and AI governance
  • Use Amazon Bedrock and Amazon SageMaker AI through hands-on walkthroughs in the AWS console
  • Test your knowledge with original practice questions written for the AIB-C01 exam

Course content

8 sections39 lectures4h 24m total length
  • Beta Test1:43
  • Course Material0:38

Requirements

  • No prior AWS or AI experience is required. This course starts from the basics.
  • Basic IT or business knowledge is helpful but not required.
  • An AWS account is needed only if you want to follow the hands-on lessons. We show you how to create one.

Description

Note: This course prepares you for the AWS Certified AI Business Strategist (AIB-C01) exam, announced on September 1, 2026. The course is based on the beta exam. We will update the course after the standard exam is released.

This course teaches the AWS cloud and AI knowledge you need to pass the AWS Certified AI Business Strategist (AIB-C01) exam. It is not only about the exam. The course also covers practical knowledge you can use at work.


What this course includes

  • Video lessons on AI, machine learning, generative AI, and AWS services

  • Hands-on walkthroughs of AWS services in the actual console

  • Original practice questions for the certification exam


Course agenda

  1. AWS and AWS Certification

    • Overview of AWS

    • Overview of AWS Certification

    • Cloud fundamentals (characteristics and classifications of the cloud)

    • AWS management tools

  2. AI, Machine Learning, and Generative AI Fundamentals

    • Conventional AI and machine learning: prediction, classification, ML pipeline, MLOps

    • Generative AI: prompt engineering, foundation models, inference control

    • Business and financial frameworks for AI adoption

  3. AWS AI Services (with hands-on)

    • Amazon Bedrock

    • Amazon SageMaker AI

  4. Practice Tests


About the instructor (Maruchin Tech)

I studied computer science at university and started my career at a Japanese automobile manufacturer. I then worked as an IT consultant, mainly on projects for the manufacturing and logistics industries. Today I run an EdTech business and create Udemy courses on cloud computing and programming.

I hold all AWS Certifications (as of 2025).

I hope this course helps you build your skills and pass the AWS Certification exam.

Who this course is for:

  • Business professionals who evaluate, drive, or scale AI projects in their organization
  • Managers, consultants, and product owners who need a common language for AI with their technical teams
  • Anyone preparing for the AWS Certified AI Business Strategist (AIB-C01) exam
  • AWS Certified AI Practitioner (AIF-C01) holders who want to move into the business side of AI