An artificial intelligence (AI) course provides a comprehensive overview of AI principles, techniques, and applications, covering topics like machine learning, deep learning, and natural language processing. Students learn to build and apply AI models through a mix of theory and practical projects, gaining skills in programming (especially Python), data analysis, and understanding the ethical implications of AI. The curriculum often includes hands-on experience with tools and covers topics like computer vision, robotics, and the societal impact of AI.
Course Content
Module 1: Foundations of AI
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4 Topics
1 Quiz
What is AI? Definitions and Goals
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History and Evolution of AI (Turing Test, Dartmouth Conference)
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Types of AI: Narrow AI vs. General AI vs. Superintelligent AI
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AI vs. Machine Learning vs. Deep Learning
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Module 1 – Foundations of AI
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Module 2: Problem-Solving in AI
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3 Topics
1 Quiz
Search Algorithms (BFS, DFS, A*)
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Knowledge Representation (Logic, Rules, Ontologies)
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Game-Playing AI (Minimax, AlphaGo)
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Module 2 – Problem-Solving in AI
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Module 3: Machine Learning Basics
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4 Topics
1 Quiz
Supervised, Unsupervised, and Reinforcement Learning
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Regression and Classification (Linear Regression, Decision Trees)
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Model Evaluation (Training/Testing, Accuracy, Confusion Matrix)
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Hands-on: Building a Simple ML Model (e.g., Scikit-learn)
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Quiz 3: Module 3 – Machine Learning Basics
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Module 4: Neural Networks & Deep Learning
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4 Topics
1 Quiz
Biological vs. Artificial Neurons
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Perceptrons and Multilayer Networks
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Introduction to CNNs (Computer Vision) and RNNs (Sequences)
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Tools: TensorFlow/Keras (Demo)
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Quiz 4: Module 4 – Neural Networks & Deep Learning
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Module 5: Natural Language Processing (NLP)
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3 Topics
1 Quiz
Text Preprocessing (Tokenization, Stemming)
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Sentiment Analysis, Chatbots, and Transformers (e.g., GPT)
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Hands-on: Building a Basic Chatbot (NLTK or Dialogflow)
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Quiz 5: Module 5 – Natural Language Processing (NLP)
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Module 6: AI Applications
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3 Topics
1 Quiz
Computer Vision (Facial Recognition, Object Detection)
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Robotics (Autonomous Systems)
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AI in Healthcare, Finance, and Entertainment
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Quiz 6: Module 6 – AI Applications
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Module 7: Ethics & Future of AI
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4 Topics
1 Quiz
Bias and Fairness in AI Models
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Job Displacement and Societal Impact
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AI Regulations (GDPR, AI Act)
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Futuristic Trends: AGI, Quantum AI
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Quiz 7: Module 7 – Ethics & Future of AI
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Module 8: Capstone Project
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2 Topics
1 Quiz
Develop a Simple AI Application (e.g., Spam Classifier, Image Recognizer)
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Use Platforms like Google Colab, Teachable Machine, or Python
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Quiz 8: Module 8 – Capstone Project Preparation
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