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Sub Topics
844
MCQs
470
MCOs
588
True/False
353
Fill Blanks
125
Rearrange
348
Matching
182
Comprehensions
327
Flashcard Decks
Curriculum
What You'll Learn
01 Introduction to Artificial Intelligence 5 topics
1 Defining Artificial Intelligence
- Strong vs. Weak AI
- Narrow vs. General AI
- Historical Definitions and Perspectives
2 History of AI
- Early Conceptual Foundations
- The Dartmouth Conference (1956)
- AI Winters and Revivals
- Modern AI Renaissance
3 Types of AI Systems
- Rule-Based Systems
- Machine Learning Systems
- Neural Networks and Deep Learning
- Hybrid Systems
4 AI Applications Overview
- Commercial Applications
- Scientific Research Applications
- Everyday Consumer Applications
5 Ethical Considerations in AI
- Bias and Fairness
- Transparency and Explainability
- Privacy Concerns
- Socioeconomic Impacts
02 Intelligent Agents 4 topics
1 Agent Architecture
- Simple Reflex Agents
- Model-Based Reflex Agents
- Goal-Based Agents
- Utility-Based Agents
- Learning Agents
2 Agent Environments
- Observable vs. Partially Observable
- Deterministic vs. Stochastic
- Episodic vs. Sequential
- Static vs. Dynamic
- Discrete vs. Continuous
- Single-Agent vs. Multi-Agent
3 Rationality and Optimality
- Rational Decision Making
- Performance Measures
- Bounded Rationality
4 Agent Programming
- Agent-Oriented Programming Languages
- Multi-Agent Frameworks
- Agent Communication Protocols
03 Problem Solving and Search 5 topics
1 Problem Formulation
- States and State Space
- Actions and Transitions
- Goal Tests
- Path Costs
2 Uninformed Search Strategies
- Breadth-First Search
- Depth-First Search
- Depth-Limited Search
- Iterative Deepening Search
- Bidirectional Search
- Uniform Cost Search
3 Informed (Heuristic) Search
- Greedy Best-First Search
- A* Search
- Iterative Improvement Algorithms
- Heuristic Functions
- Admissibility and Consistency
4 Local Search and Optimization
- Hill Climbing
- Simulated Annealing
- Genetic Algorithms
- Particle Swarm Optimization
5 Constraint Satisfaction Problems
- CSP Formulation
- Backtracking Search
- Forward Checking
- Constraint Propagation
- Arc Consistency
- Local Search for CSPs
04 Knowledge Representation and Reasoning 5 topics
1 Propositional Logic
- Syntax and Semantics
- Logical Equivalence
- Validity and Satisfiability
- Inference Rules
2 First-Order Logic
- Syntax and Semantics
- Quantification
- Inference in First-Order Logic
- Unification and Resolution
3 Probabilistic Reasoning
- Probability Theory
- Bayesian Networks
- Markov Models
- Hidden Markov Models
4 Knowledge Representation Formalisms
- Semantic Networks
- Frames and Scripts
- Ontologies
- Description Logics
- Rule-Based Systems
5 Reasoning Under Uncertainty
- Bayesian Reasoning
- Dempster-Shafer Theory
- Fuzzy Logic
- Default Reasoning and Non-monotonic Logic
05 Machine Learning Fundamentals 5 topics
1 Types of Machine Learning
- Supervised Learning
- Unsupervised Learning
- Semi-Supervised Learning
- Reinforcement Learning
- Self-Supervised Learning
2 Learning Theory
- Bias-Variance Tradeoff
- Overfitting and Underfitting
- Generalization
- PAC Learning
- VC Dimension
3 Supervised Learning Algorithms
- Linear Regression
- Logistic Regression
- Decision Trees
- Support Vector Machines
- k-Nearest Neighbors
- Naive Bayes
- Ensemble Methods (Bagging, Boosting)
4 Unsupervised Learning Algorithms
- Clustering (K-means, Hierarchical)
- Dimensionality Reduction (PCA, t-SNE)
- Association Rule Learning
- Anomaly Detection
5 Model Evaluation
- Cross-Validation
- Performance Metrics
- Confusion Matrix
- ROC and AUC
- Hyperparameter Tuning
06 Neural Networks and Deep Learning 5 topics
1 Neural Network Fundamentals
- Artificial Neurons
- Activation Functions
- Network Architectures
- Forward Propagation
2 Training Neural Networks
- Loss Functions
- Backpropagation
- Gradient Descent Variants
- Regularization Techniques
- Optimization Algorithms
3 Convolutional Neural Networks
- Convolution Operations
- Pooling Layers
- CNN Architectures
- Transfer Learning
- Applications in Computer Vision
4 Recurrent Neural Networks
- RNN Architecture
- Long Short-Term Memory (LSTM)
- Gated Recurrent Units (GRU)
- Bidirectional RNNs
- Applications in Sequence Modeling
5 Advanced Deep Learning Topics
- Generative Adversarial Networks (GANs)
- Variational Autoencoders
- Attention Mechanisms
- Transformer Architectures
- Self-Supervised Learning
- Few-Shot and Zero-Shot Learning
07 Natural Language Processing 5 topics
1 Text Processing Fundamentals
- Tokenization
- Stemming and Lemmatization
- Part-of-Speech Tagging
- Named Entity Recognition
2 Text Representation
- Bag of Words
- TF-IDF
- Word Embeddings (Word2Vec, GloVe)
- Contextual Embeddings
3 Language Modeling
- N-gram Models
- Neural Language Models
- Sequence-to-Sequence Models
- Transformer-Based Language Models
4 NLP Applications
- Text Classification
- Sentiment Analysis
- Machine Translation
- Question Answering
- Text Summarization
- Dialogue Systems
5 Large Language Models
- Pre-training and Fine-tuning
- Prompt Engineering
- In-context Learning
- Alignment Techniques
- Ethical Considerations
08 Computer Vision 4 topics
1 Image Processing Fundamentals
- Digital Image Representation
- Image Filtering and Enhancement
- Feature Detection and Extraction
- Segmentation
2 Traditional Computer Vision
- Edge and Contour Detection
- Feature Descriptors (SIFT, SURF, ORB)
- Histogram of Oriented Gradients
- Bag of Visual Words
3 Deep Learning for Computer Vision
- Image Classification
- Object Detection
- Semantic Segmentation
- Instance Segmentation
- Pose Estimation
4 Advanced Vision Topics
- 3D Computer Vision
- Video Analysis
- Generative Models for Images
- Visual Question Answering
- Vision-Language Models
09 Reinforcement Learning 5 topics
1 Fundamentals of RL
- Markov Decision Processes
- Rewards and Returns
- Value Functions
- Policies
- Exploration vs. Exploitation
2 Dynamic Programming
- Policy Evaluation
- Policy Improvement
- Value Iteration
- Policy Iteration
3 Model-Free Reinforcement Learning
- Monte Carlo Methods
- Temporal Difference Learning
- Q-Learning
- SARSA
- Actor-Critic Methods
4 Deep Reinforcement Learning
- Deep Q-Networks (DQN)
- Policy Gradient Methods
- Proximal Policy Optimization (PPO)
- Twin Delayed DDPG (TD3)
- Soft Actor-Critic (SAC)
5 Advanced RL Topics
- Multi-Agent RL
- Hierarchical RL
- Imitation Learning
- Meta-RL
- RL for Robotics
10 Multimodal AI 4 topics
1 Multimodal Representation
- Joint Embeddings
- Cross-Modal Matching
- Fusion Techniques
2 Vision-Language Models
- Image Captioning
- Visual Question Answering
- Text-to-Image Generation
- Image-to-Text Generation
3 Audio-Visual Models
- Sound Recognition
- Audio-Visual Speech Recognition
- Sound Localization
- Audio-Visual Event Detection
4 Multimodal Applications
- Multimodal Sentiment Analysis
- Multimodal Translation
- Multimodal Dialogue Systems
- Cross-Modal Retrieval
11 AI Ethics and Responsible AI 5 topics
1 Ethical Frameworks for AI
- Consequentialism
- Deontological Ethics
- Virtue Ethics
- Justice and Fairness
2 Fairness in AI
- Types of Bias
- Fairness Metrics
- Bias Mitigation Techniques
- Fairness-Aware Learning
3 Transparency and Explainability
- Interpretable Models
- Post-hoc Explanations
- Feature Importance
- Counterfactual Explanations
4 Privacy and Security
- Differential Privacy
- Federated Learning
- Secure Multi-Party Computation
- Adversarial Attacks and Defenses
5 AI Governance and Regulation
- Regulatory Frameworks
- AI Ethics Guidelines
- Responsible AI Development
- Auditing AI Systems
- Certification Standards
12 AI Applications and Systems 5 topics
1 AI in Healthcare
- Medical Diagnosis
- Medical Image Analysis
- Drug Discovery
- Personalized Medicine
- Healthcare Management
2 AI in Finance
- Algorithmic Trading
- Risk Assessment
- Fraud Detection
- Robo-Advisory
- Customer Service
3 AI in Transportation
- Autonomous Vehicles
- Traffic Management
- Route Optimization
- Predictive Maintenance
4 AI in Entertainment and Media
- Content Recommendation
- Content Generation
- Virtual Reality and Augmented Reality
- Gaming AI
5 AI in Manufacturing and Industry
- Predictive Maintenance
- Quality Control
- Supply Chain Optimization
- Robotics and Automation
13 AI Infrastructure and Deployment 4 topics
1 Computing Infrastructure
- CPU vs. GPU Computing
- TPUs and Specialized Hardware
- Distributed Computing
- Cloud vs. Edge Computing
2 AI Software Frameworks
- TensorFlow
- PyTorch
- JAX
- Specialized Libraries
3 MLOps and Model Lifecycle
- Data Pipeline Management
- Experiment Tracking
- Model Versioning
- Continuous Integration/Deployment
- Monitoring and Maintenance
4 Edge AI
- Model Compression
- Quantization
- Edge Deployment Strategies
- Mobile AI Applications
14 Frontier Research in AI 5 topics
1 Foundation Models
- Scaling Laws
- Architecture Improvements
- Instruction Tuning
- Emergent Capabilities
2 AI Alignment
- Value Alignment
- AI Safety Research
- Interpretability Research
- Beneficial AI
3 Neuro-Symbolic AI
- Symbol Grounding
- Neural-Symbolic Integration
- Causal Reasoning
- Logic and Learning
4 AI and Consciousness
- Theories of Machine Consciousness
- Sentience and Sapience
- Philosophical Perspectives
- Ethical Implications
5 Future Directions
- AGI Pathways
- Quantum AI
- Brain-Computer Interfaces
- AI Ecosystems
15 The Future of AI and Society 4 topics
1 Economic Impacts
- Labor Market Transformation
- Productivity and Growth
- Digital Divide
- New Economic Models
2 Social Implications
- Education and Skill Development
- Healthcare Access
- Democratic Processes
- Media and Information Ecosystem
3 AI Policy and Governance
- National AI Strategies
- International Cooperation
- Regulatory Approaches
- Standards and Certification
4 Long-term Considerations
- Existential Risk
- Superintelligence
- Human-AI Coexistence
- Post-Human Future
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