Artificial Intelligence & Machine Learning Engineering License Exam Preparation (AAIM)
Prepare for the NEC Artificial Intelligence and Machine Learning Engineering (AAIM) license exam: Machine Learning, Deep Learning, NLP and Computer Vision, MLOps and Responsible AI, chapter by chapter. Free on LicenseNepal.
Artificial Intelligence & Machine Learning Engineering syllabus (AAIM)
Basic Electrical, Electronics and Computer Engineering Fundamentals
- Core Electrical and Semiconductor Principles
- Digital Logic Foundations
- Combinational and Sequential Circuits
- Fundamentals of Information Technology and Computer Systems
- Fundamentals of Operating Systems and Networking
- Introduction to Computer Organization
Programming, Data Structures and Algorithms
- Programming Fundamentals with Python
- Object-Oriented Programming (OOP) Concepts
- Data Structures and Algorithms
- Advanced Database Systems for AI/ML
- Software Engineering Practices for AI Systems
- Operating Systems and Command Line Tools
Mathematical Foundations for AI & ML
- Linear Algebra
- Calculus and Optimization
- Probability Theory
- Statistics and Inference
- Information Theory
- Numerical Methods
Core Artificial Intelligence
- Introduction to AI and Intelligent Agents
- Problem Solving by Search
- Adversarial Search & Game Playing
- Knowledge Representation & Reasoning
- Automated Planning
- Reasoning under Uncertainty
Foundations of Machine Learning
- Introduction to ML
- Supervised Learning - Regression
- Supervised Learning - Classification
- Advanced Supervised Learning
- Unsupervised Learning
- Neural Networks & Fundamentals of Deep Learning
Deep Learning and Advanced Models
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Deep Learning Frameworks
- Autoencoders & Generative Models
- Deep Reinforcement Learning
- Optimization for Deep Learning
Natural Language Processing and Computer Vision
- NLP Fundamentals
- Text Representation
- Language Modeling
- Sequence-to-Sequence Models and Transformers
- Computer Vision Fundamentals
- Advanced Computer Vision
AI Systems Engineering and MLOps
- Parallel and Distributed Systems for AI
- MLOps Fundamentals
- Data Pipeline Engineering
- Model Deployment & Serving
- Monitoring & Maintenance
- Cloud Platforms for AI
Responsible AI and Advanced Applications
- Ethics in AI
- Explainable AI (XAI)
- AI Privacy & Security
- AI Policy, Law & Society
- Advanced Applications
- Current Trends & Research
Project Planning, Design and Implementation
- Engineering drawings and its concepts
- Engineering Economics
- Project planning and scheduling
- Project management
- Engineering professional practice
- Engineering Regulatory Body