Preparing for the AWS Certified AI Practitioner (AIF-C01) Exam
· 4 min read
Preparing for the AWS Certified AI Practitioner (AIF-C01) exam? These are the essential links, study materials, and exam tips to help you get certified.
Official Certification Links
Major Categories of Exam Topics
Machine Learning Basics
- Types of machine learning problems (supervised, unsupervised, reinforcement, classification, regression, etc.) (YouTube video)
- Labeled data vs. unlabeled data and what kinds of problems require which
- The machine learning lifecycle (framing the problem, data processing, model development, model training, deployment/inference, monitoring)
- Ways to score/evaluate model performance (accuracy, precision, recall, F1 score, BERTScore, ROUGE, BLEU, etc.)
Generative AI Basics
- Differences between generative AI and traditional ML/AI
- Fine-tuning vs. RAG vs. domain tuning (YouTube video for Fine-tuning vs. RAG)
- Reinforcement learning from human feedback (RLHF)
- Prompt engineering (zero-shot, few-shot, parameter tuning with things like temperature, Top P, injection attacks, etc.)
- Vector embeddings and the OpenSearch Service (see Lex/Bedrock video, How Vector Embeddings Work)
- General concepts around least effort, lowest operational overhead, lowest cost, etc.
- Responsible AI
SageMaker
- Important! Know all the core features/capabilities: Data Wrangler, Feature Store, Clarify, JumpStart, Model Monitor, Ground Truth, SageMaker Canvas, SageMaker Studio Lab [free], etc.
- (Note: Some of the SageMaker videos are slightly outdated 🙂)
- Review a high-level explanation of SageMaker and recent changes
AWS AI and ML Services
- Know all the major AI/ML services and their use cases
- Rekognition, Lex, Polly, Textract, Transcribe, Comprehend, Augmented AI (A2I)
- Pay special attention to Bedrock and foundational models
Other Core AWS Services
- Have a foundational understanding of core services and how they can interact with the AI/ML services
How to Study
If you're a total newbie
- Follow the AWS 4-step plan
- Many resources are free and don't require a subscription
- Do practice questions and practice exam to gauge how you're doing (all questions have full explanations and additional links)
- Check out courses on other platforms too
If you have ML/AI experience on AWS
- Do practice questions and practice exam to identify where you have gaps, then study for those
- Skip around AWS courses as needed, and check out content on other platforms too
Exam Tips
- Read the questions carefully
- Look for qualifier phrases such as "least expensive," or "with the least amount of effort"
- There may be more than one correct answer
- You can usually eliminate two answers right away because they don't make sense ("the distractors")
- Correct answers:
- Are usually simple
- Usually involve an AWS managed service
- Make your first pass through all questions, answering things you're sure of
- Flag the others to come back to
- Make a second pass on all questions if you have time
- Sometimes a question later in the exam will help you remember an earlier answer
- Never leave a question unanswered
- It will automatically be marked wrong
- Guessing at least gives you a chance
- Take the official practice questions and practice exam
