Prerequisites
- Basic understanding of cloud computing concepts
- No prior AI/ML experience required
- 1–2 hours of study time per day
Study Schedule
Week 1 (Days 1–7)Domain 1: Fundamentals of AI and ML
- Days 1–2: AI vs ML vs deep learning vs generative AI — clear definitions and examples
- Day 3: Supervised learning — classification and regression with examples
- Day 4: Unsupervised learning — clustering, dimensionality reduction
- Day 5: Reinforcement learning basics and the ML lifecycle
- Day 6: AWS AI services overview — Rekognition, Comprehend, Textract, Polly, Lex
- Day 7: Domain 1 practice quiz (30 questions) + review
Week 2 (Days 8–14)Domain 2: Fundamentals of Generative AI
- Days 8–9: Foundation models — what they are, pre-training, transfer learning
- Day 10: Transformer architecture — attention, tokens, context windows
- Day 11: Embeddings and vector representations
- Day 12: Inference parameters — temperature, top-p, top-k, max tokens
- Day 13: Fine-tuning vs prompt engineering vs RAG comparison
- Day 14: Domain 2 practice quiz (30 questions) + review
Week 3 (Days 15–21)Domain 3: Applications of Foundation Models
- Days 15–16: Amazon Bedrock deep-dive — models, playground, knowledge bases
- Day 17: Bedrock Agents and Guardrails
- Day 18: Prompt engineering techniques — zero-shot, few-shot, chain-of-thought
- Day 19: RAG architecture — embeddings, vector stores, retrieval, generation
- Day 20: Amazon Q Developer, Kendra, and multi-modal applications
- Day 21: Domain 3 practice quiz (30 questions) + review
Week 4 (Days 22–28)Domains 4–5: Responsible AI & Security + Full Exams
- Day 22: Responsible AI principles — fairness, transparency, explainability
- Day 23: Bias types, detection, and mitigation strategies
- Day 24: AI security — IAM, encryption, VPC, shared responsibility
- Day 25: Governance, compliance, and monitoring for AI systems
- Day 26: Full practice exam #1 (65 questions, 90 min)
- Day 27: Review exam #1 results, study weak areas
- Day 28: Full practice exam #2 (65 questions, 90 min)
Days 29–30Final Review
- Review all cheat sheets and flashcards
- Focus on consistently missed topics
- Take a final practice exam if time allows
- Rest and prepare for exam day
Study Tips
Focus heavily on Amazon Bedrock — it is the centerpiece of this exam.
Create a one-pager mapping each AWS AI service to its primary use case.
Practice distinguishing when to use prompt engineering vs RAG vs fine-tuning.
Aim for consistent 80%+ on practice exams before scheduling the real exam.
Ready to Practice?
Put your study plan into action with AIF-C01 practice questions.