Lilly Tech Systems
CompTIA AI+ Certification
Everything you need to pass the CompTIA AI+ exam. Comprehensive coverage of AI fundamentals, development, solutions, and ethics — with 25+ practice questions and detailed explanations. A vendor-neutral AI certification perfect for IT professionals entering the AI field.
Your Study Path
Follow these lessons in order for complete exam preparation, or jump to any domain you need to review.
1. Exam Overview
Exam format, domain weights, cost ($358), registration, study plans, and what to expect on exam day.
2. AI Concepts & Fundamentals
AI fundamentals, ML types, neural networks, NLP, computer vision, and key terminology. Practice questions included.
3. AI Development
Data preparation, model training, evaluation metrics, feature engineering, and the ML pipeline. Practice questions included.
4. AI Solutions
AI implementation, integration with existing systems, deployment strategies, monitoring, and real-world applications. Practice questions included.
5. AI Ethics & Governance
Ethics, bias detection, regulation, responsible AI, transparency, accountability, and privacy. Practice questions included.
6. Practice Exam
25 exam-style questions covering all domains with detailed explanations for every answer choice.
7. Exam Tips
Last-minute review, exam day strategy, FAQ accordion, and additional study resources.
What You'll Learn
By the end of this course, you will be ready to:
Pass the CompTIA AI+ Exam
Achieve the passing score needed to earn your CompTIA AI+ certification on your first attempt.
Understand AI Fundamentals
Know the core concepts of machine learning, neural networks, NLP, and computer vision at a professional level.
Implement AI Solutions
Understand how to prepare data, train models, evaluate performance, deploy AI systems, and monitor them in production.
Apply Responsible AI
Identify bias, ensure fairness, navigate AI regulations, and implement governance frameworks for trustworthy AI.