AWS Certified AI Practitioner (AIF-C01)

Explore the foundations of artificial intelligence (AI) on AWS with this comprehensive course designed for beginners and IT professionals. The AWS Certified AI Practitioner (AIF-C01) course covers essential AI and ML concepts, AWS AI services, responsible AI practices, and real-world use cases. Learn how to build, train, and deploy intelligent applications using tools like Amazon SageMaker, Rekognition, and Lex. Understand ethical AI principles and data privacy considerations. This course equips you with the knowledge to confidently approach AI projects and prepares you for the AIF-C01 certification exam.

Weekly Breakdown

Week 1: AI/ML & Generative AI Fundamentals

• Video Lectures (Udemy): Introduction to AI vs. ML vs. Generative AI, AWS AI services overview (Bedrock, SageMaker, Lex), and prompt engineering basics.
• Lab 1: Build a simple chatbot using Amazon Lex.
• Practice (Braincert): Scenario-based questions on foundational concepts.

Week 2: Data Engineering & AWS Tools

• Video Lectures (Udemy): Data lifecycle, preprocessing with AWS Glue/Athena, and feature engineering.
• Lab 2: Transform raw data using AWS Glue and query with Athena.
• Practice (Braincert): Questions on data storage and quality best practices.

Week 3: Model Training & Evaluation

• Video Lectures (Udemy): Model selection, SageMaker Autopilot, hyperparameter tuning, and evaluation metrics (F1-score, ROC).
• Lab 3: Train and evaluate a model using Amazon SageMaker.
• Practice (Braincert): Case studies on model optimization.

Week 4: Model Deployment & MLOps

• Video Lectures (Udemy): Deployment strategies (A/B testing), SageMaker Pipelines, and monitoring with CloudWatch.
• Lab 4: Deploy a model endpoint and automate workflows.
• Practice (Braincert): Questions on cost optimization and pipeline design.

Week 5: Security & Compliance

• Video Lectures (Udemy): AWS shared responsibility model, IAM policies, data encryption (KMS), and compliance standards (GDPR).
• Lab 5: Configure secure access controls for an AI application.
• Practice (Braincert): Scenario-based security questions.

Week 6: Responsible AI & Advanced Applications

• Video Lectures (Udemy): Bias detection (SageMaker Clarify), ethical AI practices, and Guardrails for generative AI.
• Lab 6: Analyze dataset bias using SageMaker Clarify.
• Practice (Braincert): Questions on responsible AI frameworks.

Week 7: Review & Practice Exams

• Activities: Domain-wise recap, timed practice exams (Braincert’s 3×50 question tests), and case study analysis.
• Focus: Review high-weight topics like model deployment (20% of exam) and security (18%).

Week 8: Final Exam Prep

• Video Lectures (Udemy): Exam-taking strategies, time management, and common pitfalls.
• Practice (Braincert): Final 65-question mock exam mimicking the AIF-C01 format.
• Live Q&A: Address last-minute doubts with instructors.