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[2026 New!!] AWS AI Practitioner (AIF-C01) Exam Prep Course
Rating: 3.5 out of 5(1 rating)
6 students

[2026 New!!] AWS AI Practitioner (AIF-C01) Exam Prep Course

AWS AI Foundations & Generative AI. Covers Core AI/ML Concepts, Amazon Bedrock, AI Services, and Responsible AI.
Last updated 10/2026
English

What you'll learn

  • Confidently sit for and pass the AWS Certified AI Practitioner (AIF-C01) exam.
  • Clearly explain the fundamental concepts and business use cases for AI, Machine Learning, and Generative AI.
  • Identify the right AWS AI/ML service (like Amazon Rekognition, Amazon Bedrock, or Amazon SageMaker Canvas) for a specific business problem.
  • Understand the core principles of Responsible AI and the basic AWS security practices needed for AI projects.

Course content

15 sections • 103 lectures • 5h 27m total length
  • Introduction1:10
  • Course Material0:16

Requirements

  • No prior experience with AWS or Artificial Intelligence is required.
  • This course starts from the very basics, including foundational cloud computing concepts.

Description

[Course Description]

Welcome to the ultimate preparation course for the NEW AWS Certified AI Practitioner exam.

This course is meticulously designed for anyone interested in understanding the fundamentals of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI on the AWS cloud. Whether you are in a technical role (like a developer or IT admin) or a non-technical role (like a manager, salesperson, or marketer), this certification is the perfect starting point to validate your foundational knowledge.

We cover all the core concepts you must know for this foundational-level certification. We'll start with the basics of cloud computing and then dive into the essential terminology of AI, ML, and Generative AI. You will learn what these technologies are, how they work at a high level, and how they are used to solve real-world business problems.

This course is your complete guide to mastering the exam domains and earning your first AWS certification in the exciting field of AI.


[What You Will Master]

In this course, you will gain a clear, high-level understanding of the AWS AI landscape:

  • Understand Core Concepts: Clearly explain the fundamental concepts, terminology, and use cases for AI, Machine Learning (ML), and Generative AI.

  • Identify AWS AI Services: Learn to identify the key AWS AI services (like Amazon Rekognition, Polly, Transcribe) and understand what problems they solve.

  • Understand AWS ML Services: Grasp the purpose of Amazon SageMaker (including Studio and Canvas) for building and deploying ML models without needing deep technical expertise.

  • Explore Generative AI on AWS: Discover the capabilities of Amazon Bedrock (for using foundation models), Amazon Q, and Amazon CodeWhisperer.

  • Learn about Responsible AI & Security: Understand the core principles of Responsible AI and the basic AWS security practices (using IAM, KMS) to keep data secure.


[Course Agenda]

This course is logically structured to build your knowledge from the ground up, with no prior experience required:

  • Section 1: AWS Certification and Exam Preparation

    • Overview of AWS, exam overview for the AI Practitioner (AIP-C01), account creation, etc.

  • Section 2: Fundamentals of Cloud Computing

    • What is Cloud Computing? Core concepts, service models (IaaS, PaaS, SaaS), and the AWS Global Infrastructure.

  • Section 3: Fundamentals of AI, ML, and Generative AI

    • Basic terminology, common use cases, and an overview of the ML pipeline (from data to model).

  • Section 4: Deep Dive into AWS Services (AI Practitioner Focus)

    • This is the core of the course. We will review all essential services for the exam.

    • 1. AI Services (High-Level): Amazon Rekognition, Polly, Translate, Transcribe, Lex.

    • 2. ML Service (High-Level): Amazon SageMaker (What it is, Studio, Canvas).

    • 3. Generative AI Service (High-Level): Amazon Bedrock, Amazon Q, CodeWhisperer.

    • 4. Supporting Data Services: Amazon S3, Amazon Kinesis, AWS Glue (Overview).

    • 5. Security & Monitoring: IAM, KMS, CloudWatch (Core concepts).

    • 6. Responsible AI: Key principles and best practices for building AI responsibly.

  • Section 5: Practice Test

    • One Original Full-Length Practice Test (65 Questions).

  • Section 6: Summary

    • We'll wrap up the course with key takeaways and final tips for exam day.


[Meet Your Instructor]

Hello, I am Maruchin Tech, from Sapporo, Japan.

With a background spanning over a decade in technology, I've been working in major firms, including the Renault-Nissan-Mitsubishi Alliance, Accenture, and NTT Data.

I have created +40 courses covering Cloud Computing, Programming, Python, and Machine Learning, which have reached +80,000 students on Udemy. As an IT consultant, I specialize in cloud computing solutions for leading corporations.

I hold all currently available AWS certifications (12x AWS Certified), and I am passionate about sharing my knowledge with you.

Join me in exploring the dynamic world of IT, where continuous learning and innovation open the door to endless possibilities. Let's embark on this journey together.

This course is your complete guide to mastering the exam domains and earning this in-demand certification.

I look forward to seeing you in the course!

Who this course is for:

  • Anyone preparing for the AWS Certified AI Practitioner (AIF-C01) exam.
  • Business leaders, managers, or project managers who need to understand the business value and use cases of AI/ML on AWS.
  • Non-technical professionals (in sales, marketing, finance, etc.) who want to "speak the language" of AI and Generative AI.
  • Developers or IT professionals who are new to Artificial Intelligence and want a foundational overview of AWS services.
  • Students and anyone curious about starting a career in cloud and AI.