Master AWS Certified AI Practitioner AIF-C01 Exam Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This comprehensive course is designed to prepare beginners for the AWS Certified AI Practitioner (AIF-C01) exam with a hands-on, structured approach. Covering core AI/ML concepts, AWS services, generative AI, and responsible AI practices, the course includes 23 interactive Cloud Labs and two full-length mock exams. With approximately 14 hours of content, learners gain practical experience using real AWS services like SageMaker, Bedrock, and Amazon Q, ensuring alignment with the latest AIF-C01 exam domains updated just two weeks ago.
Module 1: Intro & Exam Guide
Estimated time: 1 hours
- AWS AIF-C01 exam domains and structure
- AI fundamentals covered in the exam
- Generative AI, responsible AI, and security topics
- Prep quiz and exam strategy overview
Module 2: AWS Core Services
Estimated time: 1.5 hours
- EC2, S3, Lambda, VPC, and containers fundamentals
- Cloud Labs: EC2 setup and configuration
- Cloud Labs: S3 replication and bucket policies
- Cloud Labs: VPC creation and networking basics
Module 3: AI/ML Fundamentals
Estimated time: 2.5 hours
- Neural networks and deep learning basics
- ML pipelines and model lifecycle
- Bias/variance trade-offs and evaluation metrics
- Quizzes and scenario-based assessments
Module 4: AWS AI Services
Estimated time: 2.5 hours
- Amazon Comprehend for natural language processing
- Amazon Lex, Rekognition, and Transcribe
- Amazon Polly, Kendra, and Augmented AI (A2I)
- Cloud Labs including Amazon Q integration
Module 5: SageMaker Suite
Estimated time: 2.5 hours
- SageMaker Data Wrangler for data prep
- SageMaker Feature Store and JumpStart
- SageMaker Clarify and Model Monitor
- Hyperparameter tuning and model optimization labs
Module 6: Generative AI Essentials
Estimated time: 2 hours
- Introduction to foundation models and Bedrock
- Prompt engineering best practices
- Using Amazon Bedrock for generative AI workflows
- Hands-on labs with Bedrock and Amazon Q
Module 7: Databases & Cost Management
Estimated time: 1 hours
- RDS, DynamoDB, MemoryDB, and Neptune
- Cost-control features: budgets and billing dashboards
- Security and IAM roles for AI workloads
Module 8: Practice Exams
Estimated time: 2 hours
- Full-length AIF-C01 mock exam 1
- Mock exam 2 with detailed answer explanations
- Exam pattern and timing practice
Prerequisites
- Familiarity with basic cloud computing concepts
- Basic understanding of machine learning terminology
- Access to an AWS account for lab exercises
What You'll Be Able to Do After
- Pass the AWS Certified AI Practitioner (AIF-C01) exam confidently
- Use AWS AI services like SageMaker, Bedrock, and Amazon Q effectively
- Implement generative AI solutions using prompt engineering
- Apply responsible AI principles including bias detection and compliance
- Design and manage AI workflows on AWS with security and cost optimization