Study Resources
Curated videos and study tips for CAIC certification
CAIC Exam Domains
The 12 knowledge domains covered in the CAIC certification exam, with approximate weighting.
AI Fundamentals & History
Know Turing test, AI winters, types of AI, infrastructure
Machine Learning Algorithms
Supervised vs unsupervised, bias-variance tradeoff, ML lifecycle
Deep Learning & Neural Networks
CNNs, RNNs, transformers, training concepts, production deployment
Natural Language Processing
Tokenization, embeddings, sentiment analysis, LLMs
Computer Vision
Object detection, image classification, GANs, industry applications
AI Ethics & Governance
Bias, fairness, explainability, regulations, privacy
AI Strategy & Business
AI readiness, roadmaps, change management, industry applications
AI Project Management
Agile for AI, MLOps, team structures, architecture design
Data Engineering & Pipelines
ETL, data quality, feature engineering, segmentation, forecasting
AI Tools & Platforms
Cloud AI services, AutoML, deployment, AWS
Consulting Frameworks
Stakeholder analysis, communication, proposals, solution architecture
ROI & Value Assessment
TCO, business cases, success metrics, value engineering, cost management
Study Strategies
Focus on AI Strategy
CAIC heavily tests AI strategy and consulting frameworks. Practice explaining ROI and business value of AI.
Master the Lifecycle
Understand the complete AI project lifecycle: problem definition → data → model → deployment → monitoring.
Ethics & Governance
Expect questions on bias, fairness, explainability, and regulatory compliance. These are heavily weighted.
Use the Learn Tab
Ask the AI tutor to explain complex topics from your books. It has direct access to the curriculum via RAG.
Practice Under Pressure
Take timed mock exams regularly. The real exam has 60 questions in 90 minutes — practice pacing.
Review Weak Topics
Check your quiz history for patterns. Focus extra study time on consistently low-scoring domains.
Recommended Videos
But what is a neural network?
3Blue1Brown
Gradient descent, how neural networks learn
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What is AI? Artificial Intelligence Explained
IBM Technology
What is Machine Learning?
IBM Technology
What is Natural Language Processing?
IBM Technology
AI Ethics: Introduction to AI Ethics
edX
Intro to Large Language Models
Andrej Karpathy
Let's build GPT from scratch
Andrej Karpathy
Exam Day Tips
- 1Read each question carefully — eliminate obviously wrong answers first
- 2Don't spend more than 90 seconds on any single question
- 3Flag difficult questions and return to them at the end
- 4Trust your first instinct — don't change answers unless you're certain
- 5The exam is 70% pass — you can miss 30% and still pass