Prerequisites
- No prior AI or ML experience required
- Basic computer literacy
- 45–60 minutes of study time per day
- Access to AWS Free Tier (optional but helpful)
Study Schedule
Month 1 (Days 1–30)AI/ML Foundations & AWS AI Services
- Week 1: What is AI? What is ML? History and real-world examples
- Week 2: Types of ML — supervised, unsupervised, reinforcement learning with examples
- Week 3: ML lifecycle, neural networks, and deep learning basics
- Week 4: AWS AI services — Rekognition, Comprehend, Textract, Polly, Lex, SageMaker
- End of month: 40-question mixed quiz + review
Month 2 (Days 31–60)Generative AI & Amazon Bedrock
- Week 5: What is generative AI? Transformers, tokens, embeddings
- Week 6: Foundation models — types, providers, selection criteria
- Week 7: Amazon Bedrock — models, knowledge bases, agents, guardrails
- Week 8: Prompt engineering, RAG, fine-tuning — techniques and trade-offs
- End of month: Domain 2 & 3 practice exams + review
Month 3 (Days 61–90)Responsible AI, Security & Exam Preparation
- Week 9: Responsible AI — bias, fairness, transparency, explainability
- Week 10: AI security, governance, compliance, AWS tools
- Week 11: Full practice exam #1 + detailed review
- Week 12: Full practice exam #2 + flashcards + cheat sheets review
- Final days: Review all incorrect answers, rest before exam
Study Tips
Start by understanding concepts before diving into AWS services.
Use the Smash The Exam flashcards daily for spaced repetition.
Try Amazon Bedrock Playground in your AWS account to see models in action.
The AIF-C01 is conceptual — focus on "what" and "when", not deep technical details.
Schedule your exam at least 2 weeks in advance to create accountability.
Ready to Practice?
Put your study plan into action with AIF-C01 practice questions.