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Artificial Intelligence Free Mock Test
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Artificial Intelligence (AI) Syllabus, Exam Pattern
Artificial Intelligence Syllabus, Exam Pattern
Artificial Intelligence Syllabus
Artificial Intelligence (AI) :
1. Introduction to Artificial Intelligence
i. Definition and Scope of AI
ii. History and Evolution of AI
iii. AI Applications in real-world domains: Healthcare, Robotics, Finance, Agriculture, Education
iv. AI vs Artificial Intelligence vs Deep Learning
v. AI Ethics: Fairness, Bias, Transparency, Privacy
2. Problem Solving and Search Strategies
Problem formulation, State space representation
Search techniques:
i. Uninformed search: Breadth-first, Depth-first, Uniform-cost
ii. Informed search: Best-first, A, AO algorithms
iii. Constraint Satisfaction Problems (CSPs)
iv. Game Playing: Minimax algorithm, Alpha-Beta pruning, Heuristic evaluations
3. Knowledge Representation and Reasoning (KRR)
Approaches to Knowledge Representation:
i. Propositional Logic
ii. Predicate Logic (First-Order Logic)
iii. Semantic Networks
iv. Frames and Scripts
v. Ontologies
Inference Techniques:
i. Forward and Backward Chaining
ii. Resolution
iii. Probabilistic Reasoning (Bayesian Networks, Markov Networks)
iv. Reasoning under uncertainty: Fuzzy logic, Dempster–Shafer theory
4. Artificial Intelligence in AI
i. Supervised Learning: Regression, Classification algorithms
ii. Unsupervised Learning: Clustering, Dimensionality reduction
iii. Reinforcement Learning: Markov Decision Processes, Q-Learning, Deep RL
iv. Neural Networks & Deep Learning basics
v. Evaluation metrics for ML models
5. Natural Language Processing (NLP)
i. Text preprocessing: Tokenization, Lemmatization, Stop words
ii. Language Models: n-grams, Hidden Markov Models, POS tagging
iii. Word embeddings: Word2Vec, GloVe
iv. Transformer Models: Attention mechanism, BERT, GPT-based architectures
v. Applications: Chatbots, Machine Translation, Sentiment Analysis, Speech Recognition
6. Computer Vision in AI
i. Image Representation and Processing
ii. Object Recognition and Detection
iii. Image Classification (CNNs, ResNets, Inception)
iv. Object Detection (R-CNN, Fast R-CNN, YOLO, SSD)
v. Image Segmentation (Mask R-CNN, U-Net)
vi. Applications: Facial Recognition, Medical Imaging, Autonomous Vehicles
7. Expert Systems
i. Characteristics of Expert Systems
ii. Knowledge Acquisition and Knowledge Engineering
iii. Inference Engine and Rule-based Systems
iv. Forward vs Backward Chaining
v. Examples: MYCIN, DENDRAL
8. Planning and Decision Making
i. Classical Planning: STRIPS, Planning graphs
ii. Heuristic-based Planning
iii. Partial Order Planning
iv. Multi-agent Planning and Coordination
v. Markov Decision Processes (MDPs)
9. Robotics and Intelligent Agents
i. Introduction to Robotics and Perception
ii. Path Planning: Dijkstra’s, A, Probabilistic Roadmaps
iii. Robot Motion Planning (Configuration space, Potential field methods)
iv. Intelligent Agents: Types of agents, Agent architectures
v. Human-Robot Interaction (HRI)
10. Advanced Topics in AI
i. Deep Learning Architectures (CNN, RNN, GANs, Transformers)
ii. Multi-agent Systems
iii. Evolutionary Algorithms & Swarm Intelligence
iv. Transfer Learning, Meta-learning
v. Federated Learning
vi. AI in IoT and Edge Computing
11. Ethical, Social, and Legal Issues in AI
i. AI Bias and Fairness
ii. Explainable AI (XAI)
iii. AI Governance and Regulations
iv. AI for Sustainable Development Goals (AI4SDGs)
v. Future of AI: Opportunities and Risks
12. Practical Implementation and Tools
i. Programming Languages for AI: Python, R, Prolog, LISP
ii. Frameworks and Libraries: TensorFlow, PyTorch, OpenCV, NLTK, spaCy
iii. AI Cloud Platforms: AWS AI, Google AI, Microsoft Azure AI
Case Studies:
i. AI in Healthcare (diagnosis, drug discovery)
ii. AI in Finance (fraud detection, trading)
iii. AI in Agriculture (crop monitoring, yield prediction)
iv. AI in Smart Cities (traffic control, surveillance)
Artificial Intelligence Exam Pattern
Duration : 60 Minutes
No.of Question : 100
Total Marks : 100
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Artificial Intelligence (ai) Free Mock Test Frequently Asked Questions (FAQ's)
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