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Advanced Airtificial Intelligence- Advanced
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Advanced Airtificial Intelligence- Advanced
Module 1: Foundations of Artificial Intelligence
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Chapter-1 Introduction to Advanced AI Concept
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1 Hour
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Chapter 2: Machine Learning Fundamentals
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Chapter 3: Search and Problem Solving in AI
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Chapter 4: Knowledge Representation and Reasoning
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Chapter 5: Ethical and Societal Impacts of AI
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Module 1 Quiz : Advanced Machine Learning Algorithms
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Module 2: Machine Learning - Theory and Advanced Techniques
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Chapter 1: Advanced Supervised Learning Techniques
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Chapter 2: Unsupervised Learning and Clustering
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Chapter 3: Deep Learning and Neural Networks
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Chapter 4: Reinforcement Learning
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Chapter 5: Model Evaluation and Hyperparameter Tuning
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Module 2 Quiz : Deep Learning Concepts and Models
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Module 3: Deep Learning Architectures
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Chapter 1: Introduction to Deep Learning and Neural Networks
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Chapter 2: Convolutional Neural Networks (CNNs)
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Chapter 3: Recurrent Neural Networks (RNNs) and Sequence Models
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Chapter 4: Generative Models and GANs
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Chapter 5: Autoencoders and Variational Autoencoders (VAEs)
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Module 3 Quiz : Advanced NLP Techniques and Applications
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Module 4: Reinforcement Learning (RL)
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Chapter 1 : Introduction to Reinforcement Learning: MDP, Policies, Rewards
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45 Minutes
Chapter 2 : Q-Learning and Deep Q-Networks (DQN)
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45 Minutes
Chapter 3 : Policy Gradient Methods and Actor-Critic Models
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45 Minutes
Chapter 4 : Model-Free and Model-Based Reinforcement Learning
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45 Minutes
Chapter 5 : Applications of RL in Robotics and Real-World Tasks
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45 Minutes
Module 4 Quiz : Reinforcement Learning Techniques and Applications
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Module 5: Computer Vision and AI in Imaging
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Chapter 1 : Advanced Image Preprocessing and Augmentation
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45 Minutes
Chapter 2 : Object Detection with YOLO, SSD, and Faster R-CNN
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45 Minutes
Chapter 3 : Semantic and Instance Segmentation in Computer Vision
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45 Minutes
Chapter 4 : Image Captioning with CNN-LSTM Hybrid Models
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45 Minutes
Chapter 5 : Real-Time Video Analysis and Object Tracking
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45 Minutes
Module 5 Quiz : Computer Vision Concepts and Models
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Module 6: AI in Robotics and Autonomous Systems
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Chapter 1 : Introduction to Autonomous Systems
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45 Minutes
Chapter 2 : Robot Perception and Mapping (SLAM)
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45 Minutes
Chapter 3 : Path Planning and Obstacle Avoidance Algorithms
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45 Minutes
Chapter 4 : Multi-Robot Systems and Coordination
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45 Minutes
Chapter 5 : Human-Robot Interaction and Ethical Considerations
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45 Minutes
Module 6 Quiz : Robotics and Autonomous Systems
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Module 7: Advanced AI Applications in Real-World Scenarios
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Chapter 1 : AI in Healthcare: Diagnostics and Imaging
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45 Minutes
Chapter 2 : AI in Finance: Predictive Modeling and Fraud Detection
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45 Minutes
Chapter 3 : AI for Smart Cities: Traffic Prediction and Optimization
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45 Minutes
Chapter 4 : AI in E-commerce: Recommendation Systems
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45 Minutes
Chapter 5 : AI Ethics, Fairness, and Privacy Considerations
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45 Minutes
Module 7 Quiz : Advanced AI Applications and Real-World Scenarios
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Final Project and Assessment
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Assignment
Module 8: AI in Industry Applications
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Module 9: Future of AI
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Chapter-1 Introduction to Advanced AI Concept
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