| Level |
Topic |
Subtopics |
| Basic |
Introduction to AI |
What is AI, History of AI, Applications of AI, Types of AI (Narrow, General, Super AI), AI vs Human Intelligence |
|
AI Techniques & Concepts |
Problem Solving, Search Techniques, Heuristics, Knowledge Representation, Reasoning |
|
Machine Learning Basics |
Supervised Learning, Unsupervised Learning, Reinforcement Learning, Regression, Classification |
|
AI Tools & Libraries |
Python for AI, Numpy, Pandas, Scikit-learn, Matplotlib, TensorFlow Basics |
|
AI Ethics & Society |
AI Ethics, Bias in AI, Responsible AI, AI in Society, Limitations of AI |
| Intermediate |
Machine Learning Algorithms |
Decision Trees, Random Forest, K-Nearest Neighbors, Support Vector Machines, Naive Bayes |
|
Neural Networks |
Perceptron, Feedforward Neural Network, Backpropagation, Activation Functions, Gradient Descent |
|
Natural Language Processing |
Text Preprocessing, Tokenization, Lemmatization, Stopwords, Bag-of-Words, TF-IDF |
|
Reinforcement Learning |
Markov Decision Processes, Q-Learning, Policy & Value Functions, Exploration vs Exploitation |
|
AI Model Evaluation |
Confusion Matrix, Accuracy, Precision, Recall, F1 Score, ROC-AUC |
| Advanced |
Deep Learning |
Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), LSTM, GRU, Autoencoders |
|
Computer Vision |
Image Classification, Object Detection, Image Segmentation, OpenCV, Pretrained Models |
|
Advanced NLP |
Word Embeddings, Word2Vec, GloVe, Transformer Models, BERT, GPT |
|
Optimization Techniques |
Gradient Descent Variants, Regularization, Dropout, Hyperparameter Tuning, Early Stopping |
|
AI Pipelines & Deployment |
Model Deployment, API Creation, Model Versioning, Monitoring, MLOps Basics |
| Expert |
Generative AI |
GANs, Variational Autoencoders, Diffusion Models, Text-to-Image Generation, DeepFakes |
|
Advanced Reinforcement Learning |
Deep Q-Networks, Policy Gradient Methods, Actor-Critic Models, Multi-Agent RL |
|
Explainable AI (XAI) |
SHAP, LIME, Interpretability Techniques, Model Transparency, Trust in AI |
|
AI Research & Trends |
Large Language Models, Self-Supervised Learning, Few-Shot Learning, AI Alignment, Quantum AI |
|
AI Ethics & Governance |
AI Regulation, AI Accountability, Fairness Metrics, Privacy-Preserving AI, AI Risk Management |
|
