Artificial Intelligence Course in Dehradun

Overview of Artificial Intelligence

• Definition of Artificial Intelligence

• History of Artificial Intelligence

• Types of Artificial Intelligence

• Applications of Artificial Intelligence

• Challenges in Artificial Intelligence

Machine Learning

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• Deep Learning

• Natural Language Processing

Natural Language Processing

• Text Preprocessing

• Tokenization

• Part-of-Speech Tagging

• Named Entity Recognition

• Text Classification

Knowledge Representation and Reasoning

• Knowledge Representation

• Automated Reasoning

• Logical Reasoning

• Non-Monotonic Reasoning

• Uncertainty Reasoning

Computer Vision

• Image Processing

• Feature Extraction

• Object Detection

• Image Recognition

• Object Tracking

Robotics

• Introduction to Robotics

• Robotics Sensors

• Robotics Actuators

• Robotics Control

• Robotics Applications

Applications of AI

• Machine Learning

• Natural Language Processing

• Robotics

• Image Processing

• Data Mining

Introduction to Machine Learning

• Supervised and Unsupervised Learning

• Regression and Classification

• Model Evaluation and Selection

• Feature Engineering

• Algorithm Tuning and Optimization

Supervised Learning

• Linear Regression

• Logistic Regression

• Decision Trees

• Support Vector Machines

• Naive Bayes Classifier

Unsupervised Learning

• K-Means Clustering

• Hierarchical Clustering

• Density-Based Clustering

• Principal Component Analysis

• Association Rule Mining

Deep Learning

• Introduction to Machine Learning

• Supervised Learning

• Unsupervised Learning

• Neural Networks

• Deep Learning Architectures

Natural Language Processing

• Introduction to Natural Language Processing

• Text Pre-Processing

• Text Representation

• Text Classification

• Text Summarization

Reinforcement Learning

• Markov Decision Process

• Temporal Difference Learning

• Q-Learning

• Exploration and Exploitation

• Policy Iteration and Value Iteration

Applications of Machine Learning

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• Natural Language Processing

• Computer Vision

Introduction to Natural Language Processing

• Tokenization

• Stemming and Lemmatization

• Part-of-Speech Tagging

• Named Entity Recognition

• Text Classification

Text Preprocessing

• Tokenization

• Stop Word Removal

• Stemming

• Lemmatization

• Part-of-Speech Tagging

Lexical Analysis

• Tokenization

• Stemming

• Lemmatization

• Part-of-Speech Tagging

• Morphological Segmentation

Syntactic Analysis

• Lexical Analysis

• Context-Free Grammars

• Parsing Algorithms

• Ambiguity Resolution

• Syntactic Semantics

Semantic Analysis

• Lexical Analysis

• Syntactic Analysis

• Semantic Interpretation

• Pragmatic Analysis

• Discourse Analysis

Pragmatic Analysis

• Tokenization

• Stemming

• Part-of-Speech Tagging

• Syntactic Parsing

• Semantic Analysis

Dialogue Systems

• Natural Language Understanding

• Natural Language Generation

• Dialogue State Tracking

• Dialogue Management

• Evaluation of Dialogue Systems

Text Generation

• Text Pre-processing

• Language Modeling

• Text Generation Algorithms

• Text Summarization

• Text Classification

Machine Translation

• Introduction to Machine Translation

• Statistical Machine Translation

• Neural Machine Translation

• Evaluation of Machine Translation

• Applications of Machine Translation

Text Classification

• Introduction to Text Classification

• Supervised Text Classification

• Unsupervised Text Classification

• Deep Learning for Text Classification

• Evaluation of Text Classification Models

Text Summarization

• Introduction to Text Summarization

• Text Pre-processing

• Extractive Text Summarization

• Abstractive Text Summarization

• Evaluation of Text Summarization

Natural Language Understanding

• Morphological Analysis

• Syntactic Analysis

• Semantic Analysis

• Pragmatic Analysis

• Discourse Analysis

Applications of NLP in AI

• Text Classification

• Text Summarization

• Machine Translation

• Named Entity Recognition

• Speech Recognition

Image Representation

• Pixel Representation

• Vector Representation

• Color Representation

• Wavelet Representation

• Compression Representation

Image Processing

• Image Acquisition

• Image Enhancement

• Image Segmentation

• Feature Extraction

• Image Recognition

Edge Detection

• Introduction to Edge Detection

• Types of Edge Detection

• Edge Detection Algorithms

• Applications of Edge Detection

• Challenges of Edge Detection

Feature Extraction

• Edge Detection

• Image Segmentation

• Feature Matching

• Feature Transformation

• Feature Classification

Object Recognition

• Image Classification

• Feature Extraction

• Object Detection

• Object Localization

• Image Segmentation

Image Segmentation

• Introduction to Image Segmentation

• Image Segmentation Techniques

• Image Segmentation Algorithms

• Applications of Image Segmentation

• Challenges in Image Segmentation

Object Tracking

• Image Segmentation

• Feature Extraction

• Motion Estimation

• Kalman Filtering

• Object Classification

Motion Detection

• Introduction to Motion Detection

• Image Processing for Motion Detection

• Feature Extraction for Motion Detection

• Motion Detection Algorithms

• Applications of Motion Detection

Image Classification

• Introduction to Image Classification

• Image Pre-processing

• Feature Extraction

• Image Classification Algorithms

• Performance Evaluation

Image Synthesis

• Image Processing

• Image Analysis

• Image Manipulation

• Image Generation

• Image Synthesis Algorithms

Introduction to Robotics

• Overview of Robotics

• Robotics Components

• Robotics Sensors

• Robotics Actuators

• Robotics Programming

Robotics Sensors and Actuators

• Types of Sensors

• Types of Actuators

• Sensor and Actuator Interfacing

• Sensor and Actuator Signal Processing

• Sensor and Actuator Control

Robotics Kinematics and Dynamics

• Kinematics of Serial Manipulators

• Dynamics of Serial Manipulators

• Kinematics of Planar Manipulators

• Dynamics of Planar Manipulators

• Motion Control of Manipulators

Robot Control Architectures

• Hierarchical Control

• Distributed Control

• Centralized Control

• Hybrid Control

• Adaptive Control

Path Planning and Navigation

• Motion Planning

• Robot Localization

• Path Tracking

• Path Smoothing

• Obstacle Avoidance

Robot Vision

• Image Acquisition

• Image Processing

• Feature Extraction

• Object Recognition

• Scene Understanding

Artificial Intelligence for Robotics

• Introduction to Robotics

• Robot Kinematics

• Robot Dynamics

• Robot Control

• Robot Sensors

Human-Robot Interaction

• Introduction to Human-Robot Interaction

• Cognitive Robotics

• Robot Perception

• Robot Navigation

• Human-Robot Interaction Design

Robotics Applications

• Introduction to Robotics

• Robotics Sensors

• Robotics Actuators

• Robotics Control

• Robotics Applications

Knowledge Representation

• Knowledge Representation Languages

• Logical Representation of Knowledge

• Non-Monotonic Reasoning

• Probabilistic Reasoning

• Automated Reasoning

Reasoning

• First-Order Logic

• Resolution

• Non-Monotonic Reasoning

• Probabilistic Reasoning

• Automated Reasoning

Logical Reasoning

• Propositional Logic

• Predicate Logic

• Resolution

• Unification

• Non-Monotonic Reasoning

Inference

• Logical Inference

• Probabilistic Inference

• Abduction

• Induction

• Deduction

Non-monotonic Reasoning

• Default Reasoning

• Circumscription

• Autoepistemic Logic

• Nonmonotonic Logics

• Preference-Based Reasoning

Uncertainty Representation

• Probabilistic Reasoning

• Bayesian Networks

• Fuzzy Logic

• Dempster-Shafer Theory

• Markov Networks

Automated Reasoning

• Representation of Knowledge

• Automated Theorem Proving

• Resolution Principle

• Unification Algorithm

• Non-Monotonic Reasoning

Ontologies

• Introduction to Ontologies

• Ontology Languages

• Ontology Development

• Ontology Reasoning

• Ontology Applications

Planning

• Problem Solving

• Search Strategies

• Heuristic Search

• Game Playing

• Planning Graphs

Machine Learning

• First Order Logic

• Resolution and Unification

• Non-Monotonic Reasoning

• Bayesian Networks

• Markov Decision Processes

Natural Language Processing

• Knowledge Representation

• Ontologies

• Semantic Networks

• Logical Representation

• Reasoning

Robotics

• Knowledge Representation

• Logical Reasoning

• Uncertainty Reasoning

• Non-Monotonic Reasoning

• Automated Reasoning

Supervised Learning

• Decision Trees

• Support Vector Machines

• Naive Bayes

• Logistic Regression

• K-Nearest Neighbors

Unsupervised Learning

• Clustering

• Dimensionality Reduction

• Association Rule Learning

• Anomaly Detection

• Reinforcement Learning

Reinforcement Learning

• Markov Decision Process

• Temporal Difference Learning

• Q-Learning

• Policy Gradient Methods

• Exploration and Exploitation Strategies

Regression

• Linear Regression

• Logistic Regression

• Polynomial Regression

• Ridge Regression

• Lasso Regression

Classification

• Supervised Learning

• Decision Trees

• Naive Bayes

• Support Vector Machines

• Logistic Regression

Clustering

• K-Means Clustering

• Hierarchical Clustering

• Expectation Maximization Algorithm

• Density-Based Clustering

• Model-Based Clustering

Decision Trees

• Introduction to Decision Trees

• Types of Decision Trees

• Building Decision Trees

• Pruning Decision Trees

• Applications of Decision Trees

Bayesian Networks

• Introduction to Bayesian Networks

• Representation of Bayesian Networks

• Inference in Bayesian Networks

• Learning Bayesian Networks

• Applications of Bayesian Networks

Neural Networks

• Artificial Neural Networks

• Convolutional Neural Networks

• Recurrent Neural Networks

• Autoencoders

• Generative Adversarial Networks

Support Vector Machines (SVMs)

• Introduction to SVMs

• Linear SVM Classification

• Non-Linear SVM Classification

• SVM Kernels

• SVM Optimization

Genetic Algorithms

• Introduction to Genetic Algorithms

• Representation of Solutions

• Crossover and Mutation

• Fitness Function

• Selection and Termination

Introduction to Neural Networks

• Biological Neurons

• Artificial Neurons

• Neural Network Architectures

• Learning in Neural Networks

• Applications of Neural Networks

Neural Network Architectures

• Feedforward Neural Networks

• Convolutional Neural Networks

• Recurrent Neural Networks

• Autoencoders

• Generative Adversarial Networks

Training of Neural Networks

• Introduction to Neural Networks

• Activation Functions

• Backpropagation Algorithm

• Convolutional Neural Networks

• Recurrent Neural Networks

Artificial Neural Networks

• Introduction to Neural Networks

• Activation Functions

• Backpropagation Algorithm

• Convolutional Neural Networks

• Recurrent Neural Networks

Deep Learning

• Introduction to Neural Networks

• Activation Functions

• Backpropagation

• Convolutional Neural Networks

• Recurrent Neural Networks

Convolutional Neural Networks

• Introduction to Convolutional Neural Networks

• Convolutional Layer

• Pooling Layer

• Fully Connected Layer

• Applications of Convolutional Neural Networks

Recurrent Neural Networks

• Introduction to Recurrent Neural Networks

• Architecture of Recurrent Neural Networks

• Training of Recurrent Neural Networks

• Applications of Recurrent Neural Networks

• Limitations of Recurrent Neural Networks

Autoencoders

• Introduction to Autoencoders

• Types of Autoencoders

• Autoencoder Architecture

• Training Autoencoders

• Applications of Autoencoders

Reinforcement Learning

• Markov Decision Process

• Temporal Difference Learning

• Q-Learning

• Policy Gradient Methods

• Deep Reinforcement Learning

Applications of Neural Networks

• Introduction to Neural Networks

• Backpropagation Algorithm

• Convolutional Neural Networks

• Recurrent Neural Networks

• Autoencoders

Introduction to Reinforcement Learning

• Markov Decision Process

• Temporal Difference Learning

• Q-Learning

• Policy Gradient Methods

• Exploration vs Exploitation

Markov Decision Processes

• Introduction to Markov Decision Processes

• Markov Reward Process

• Value Iteration

• Policy Iteration

• Monte Carlo Methods

Dynamic Programming

• Markov Decision Process

• Bellman Equation

• Value Iteration

• Policy Iteration

• Q-Learning

Monte Carlo Methods

• Markov Decision Processes

• Temporal Difference Learning

• Policy Iteration

• Monte Carlo Tree Search

• Exploration and Exploitation

Temporal Difference Learning

• TD Prediction

• TD Control

• Eligibility Traces

• TD Lambda

• TD for Planning

Value Function Approximation

• Introduction to Value Function Approximation

• Types of Value Function Approximation

• Advantages of Value Function Approximation

• Challenges of Value Function Approximation

• Applications of Value Function Approximation

Policy Gradient Methods

• Monte Carlo Policy Gradient

• REINFORCE Algorithm

• Actor-Critic Algorithm

• Natural Policy Gradient

• Deterministic Policy Gradient

Exploration and Exploitation

• Multi-armed Bandit Problem

• Exploration vs Exploitation Trade-off

• Upper Confidence Bound Algorithm

• Thompson Sampling Algorithm

• Epsilon-Greedy Algorithm

Multi-Agent Reinforcement Learning

• Introduction to Multi-Agent Reinforcement Learning

• Multi-Agent Environments

• Multi-Agent Learning Algorithms

• Cooperative and Competitive Multi-Agent Learning

• Applications of Multi-Agent Reinforcement Learning

Deep Reinforcement Learning

• Markov Decision Process

• Temporal Difference Learning

• Monte Carlo Methods

• Policy Gradient Methods

• Q-Learning

Introduction to Artificial Intelligence

• Natural Language Processing

• Robotics

• Image Processing

• Machine Learning

• Expert Systems

Machine Learning

• Natural Language Processing

• Computer Vision

• Robotics

• Autonomous Driving

• Game Theory

Natural Language Processing

• Text Classification

• Text Summarization

• Machine Translation

• Named Entity Recognition

• Speech Recognition

Robotics

• Autonomous Robots

• Industrial Robotics

• Medical Robotics

• Service Robotics

• Humanoid Robotics

Computer Vision

• Image Processing

• Object Detection

• Facial Recognition

• Image Segmentation

• Image Classification

Reinforcement Learning

• Markov Decision Process

• Temporal Difference Learning

• Q-Learning

• Monte Carlo Methods

• Policy Gradient Methods

Knowledge Representation and Reasoning

• Knowledge Representation

• Automated Reasoning

• Ontologies

• Non-monotonic Reasoning

• Rule-Based Systems

Game Theory

• Nash Equilibrium

• Stackelberg Game

• Bayesian Games

• Markov Games

• Evolutionary Games

Expert Systems

• Introduction to Expert Systems

• Knowledge Representation in Expert Systems

• Inference Engines in Expert Systems

• Knowledge Acquisition in Expert Systems

• Expert System Shells

Neural Networks

• Convolutional Neural Networks

• Recurrent Neural Networks

• Autoencoders

• Generative Adversarial Networks

• Reinforcement Learning