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Beginner Level

AWS Certified AI Practitioner AIF-C01

Gain foundational AI/ML literacy on AWS, build real Bedrock applications, and earn your AIF-C01 certification — no coding experience required.

★ 4.8 (300 learners) 60 hrs total 7 modules 3 capstones
AWS EC2 S3 IAM VPC Lambda +2 more
Only 7 seats left · Next batch starts 15 Aug 2026
Download Curriculum
60 hrs
of content
7 modules
in curriculum
19 projects
hands-on builds
Beginner
difficulty

Curriculum covers

Frameworks you'll master

8 tools & frameworks
AWS EC2 S3 IAM VPC Lambda SageMaker Amazon Bedrock

Course Curriculum

7 modules · 60 hours · 24 live sessions

Introduction to AWS & Cloud Computing 2 sessions
  • Introduction
  • Traditional IT – Overview
  • What is Cloud Computing?
  • The Different Types of Cloud Computing
  • AWS Cloud Overview
  • Creating an AWS Account
  • AWS Account Activation Troubleshooting
  • [Important] AWS Console UI Update
  • Tour of the Console & Services in AWS
  • Shared Responsibility Model & AWS Acceptable Policy
Amazon Bedrock AI Stylist Hands On 1 sessions
  • Prompt Engineering
Prompt Templates 5 sessions
  • Amazon Q – Deep Dive
  • Section Introduction
  • Amazon Q Business
  • Amazon Q Apps
  • Amazon Q Developer
  • Amazon Q for AWS Services
  • PartyRock
  • Artificial Intelligence (AI) & Machine Learning
  • Section Introduction
  • AI, ML, Deep Learning, and GenAI
  • ML Terms You May Encounter in the Exam
  • Training Data
  • Supervised Learning
  • Unsupervised Learning
  • SelfSupervised Learning
  • Reinforcement Learning
  • RLHF Reinforcement Learning from Human Feedback
  • Model Fit, Bias, and Variance
  • Model Evaluation Metrics
  • Machine Learning Inferencing
  • Phases of a Machine Learning Project
  • Hyperparameters
  • When is ML not appropriate?
AWS Managed AI Services 3 sessions
  • Section Introduction
  • Why AWS Managed Services?
  • Amazon Comprehend
  • Amazon Translate
  • Amazon Transcribe
  • Amazon Polly
  • Amazon Rekognition
  • Amazon Lex
  • Amazon Personalize
  • Amazon Textract
  • Amazon Kendra
  • Amazon Mechanical Turk
  • Amazon Augmented AI
  • Amazon Comprehend Medical & Transcribe Medical
  • Amazon's Hardware for AI
Amazon SageMaker Deep Dive 2 sessions
  • Section Introduction
  • Amazon SageMaker AI – Overview
  • Amazon SageMaker Data Tools
  • Amazon SageMaker Models and Humans
  • Amazon SageMaker – Governance
  • Amazon SageMaker – Consoles
  • Amazon SageMaker – Summary
  • Amazon SageMaker Extra Features
AI Challenges and Responsibilities 2 sessions
  • Section Introduction
  • AI Challenges and Responsibilities Overview
  • Responsible AI
  • GenAI Challenges
  • Compliance for AI
  • Governance for AI
  • Security and Privacy for AI
  • GenAI Security Scoping Matrix
  • MLOps
AWS Security Services & More 1 sessions
  • Section Introduction
  • IAM Introduction: Users, Groups, Policies
  • IAM Users & Groups Hands On
  • AWS Console Simultaneous Signin
  • IAM Policies
  • IAM Roles
  • Amazon S3
  • Amazon S3 Storage Classes
  • Amazon EC2
  • Create an EC2 Instance with EC2 User Data to have a Website Hands On
  • AWS Lambda
  • Amazon Macie
  • AWS Config
  • Amazon Inspector
  • AWS CloudTrail
  • AWS Artifact
  • AWS Audit Manager
  • AWS Trusted Advisor
  • VPC & Network Security
  • AWS Security Services Summary
  • Scenarios for Security

After this course, you will

Skills you carry to every job

  • Explain core AI/ML concepts including supervised, unsupervised, and reinforcement learning
  • Build and test generative AI applications using Amazon Bedrock foundation models
  • Identify the right AWS managed AI service for each real-world business scenario
  • Configure SageMaker pipelines for end-to-end ML model training and deployment
  • Apply responsible AI principles, bias detection, and governance frameworks
  • Evaluate model performance using accuracy, F1, AUC-ROC, and RMSE metrics
  • Implement AI security controls using IAM, Amazon Macie, and CloudTrail
  • Pass the AWS Certified AI Practitioner AIF-C01 exam with confidence

Hands-on learning

What you'll build

3 industry capstone projects · built from scratch · yours to keep

01

AI-Powered Customer Service Chatbot

Build a customer service assistant using Amazon Bedrock with Claude, integrated with Amazon Lex for natural language understanding and Lambda for business logic. Configure guardrails to prevent harmful outputs and add session memory.

Amazon Bedrock Amazon Lex Lambda S3 IAM CloudWatch
02

Document Intelligence Pipeline

Create a serverless document processing pipeline that uses Amazon Textract to extract structured data from invoices, Amazon Comprehend to detect sentiment and entities, and SageMaker to classify documents by department.

Amazon Textract Amazon Comprehend SageMaker Lambda S3 DynamoDB
03

Responsible AI Governance Dashboard

Design a governance framework for an ML model in production: configure SageMaker Model Monitor for data drift, set up CloudTrail logging for all Bedrock API calls, apply Macie to detect PII in training data, and document an AI risk register.

SageMaker Amazon Macie CloudTrail CloudWatch IAM Amazon Bedrock

Plus 16 guided mini-projects across the curriculum — Q&A bots, resume screeners, SQL helpers, and more.

Batch Schedule

⚡ Seats filling fast — only 7 remaining across all batches

Available Batches
Batch Type Schedule Duration Next Start Date Availability
Weekend Sat & Sun, 10am–1pm 10 weeks 15 Aug 2026 Available
Weekday Mon–Fri, 7–9pm 8 weeks 17 Aug 2026 Available
Fast-track Mon–Sun, 6 hours/day 2 weeks 24 Aug 2026 Available

Frequently Asked Questions

Do I need a programming background to take this course?

No. The AIF-C01 is a foundational-level exam designed for business analysts, product managers, and cloud practitioners. The course covers concepts clearly with visual explanations and AWS Console hands-on demos.

How does this differ from the Machine Learning Specialty course?

The AI Practitioner covers breadth — all AWS AI/ML services at a conceptual level plus responsible AI. The ML Specialty goes deep into algorithms, feature engineering, and SageMaker internals. Start here if you are new to AI/ML.

How long is the AIF-C01 exam?

The exam is 90 minutes, 65 questions (multiple choice and multiple response), with a passing score of 700 out of 1000.

Will I work with Amazon Bedrock in the labs?

Yes. Lab sessions walk you through invoking foundation models, writing prompts, using the Bedrock Playground, and building a simple generative AI application — all in your own AWS account.

Which AWS services are most heavily tested?

Amazon Bedrock, SageMaker AI, Amazon Q, and the suite of managed AI services (Rekognition, Comprehend, Transcribe, Translate, Polly) are the core exam domains alongside responsible AI principles.

Is there a practice test included?

Yes. You get two full-length practice exams (65 questions each) with detailed explanations, plus topic-wise quizzes at the end of each module.

Ready to Get Started?

Download the curriculum to see every module, batch dates and fees. Book a free 30-minute session with our advisors to get your questions answered.

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See every module, capstone project, and tool covered — free, instant access.

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