Artificial Intelligence Training Course in Jalandhar

Course Content: Artificial Intelligence Training in Jalandhar

Module 1: Introduction to Artificial Intelligence

• What is Artificial Intelligence?
• History and Evolution of AI
• Types of AI (Narrow AI, General AI, Superintelligent AI)
• AI in the Real World

Module 2: Machine Learning Fundamentals

• Machine Learning vs. Traditional Programming
• Supervised, Unsupervised, and Reinforcement Learning
• Data Preprocessing and Feature Engineering
• Model Evaluation and Validation

Module 3: Neural Networks and Deep Learning

• Introduction to Artificial Neural Networks
• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)
• Generative Adversarial Networks (GANs)
• Transfer Learning and Pretrained Models

Module 4: Natural Language Processing (NLP)

• Text Preprocessing
• Word Embeddings (Word2Vec, GloVe)
• Sentiment Analysis
• Named Entity Recognition (NER)
• Language Models (e.g., BERT)

Module 5: Computer Vision

• Image Preprocessing
• Object Detection
• Image Segmentation
• Facial Recognition
• Image Captioning

Module 6: Reinforcement Learning

• Markov Decision Processes
• Q-Learning and Deep Q Networks (DQN)
• Policy Gradient Methods
• Applications in Robotics and Game Playing

Module 7: Robotics and Autonomous Systems

• Introduction to Robotics
• Robotic Perception
• Robot Control and Planning
• Applications in Autonomous Vehicles and Drones

Module 8: Ethical and Societal Considerations in AI

• AI Ethics and Bias
• Privacy and Data Security
• AI Regulations and Compliance
• AI and Society

Module 9: AI in Industry and Applications

• AI in Healthcare
• AI in Finance
• AI in Manufacturing
• AI in Customer Service
• AI Startups and Innovation

Module 10: AI Project Management

• AI Project Lifecycle
• Data Collection and Annotation
• Model Development and Testing
• Model Deployment and Monitoring
• Scalability and Maintenance

Module 11: AI and Future Trends

• Cutting-Edge AI Research
• AI and Quantum Computing
• AI and Brain-Computer Interfaces
• AI and Space Exploration
• AI’s Impact on Employment

Module 12: Capstone Project

• Real-world AI Project
• End-to-end Project Development
• Presentation and Documentation