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
Artificial Intelligence Certification
Earn your certificate
Your certificate and skills are vital to the extent of jump-starting your career and giving you a chance to compete in a global space.
Share your achievement
Talk about it on Linkedin, Twitter, Facebook, boost your resume or frame it- tell your friend and colleagues about it.
Artificial Intelligence Course Fee and Duration in Jalandhar
| Track | Regular Track | Weekend Track | Fast Track |
|---|---|---|---|
| Course Duration | 45 – 60 Days | 8 Weekends | 5 Days |
| Hours | 2 hours a day | 3 hours a day | 6+ hours a day |
| Training Mode | Live Classroom | Live Classroom | Live Classroom |
- AI/Machine Learning Engineer
- Data Scientist
- AI Research Scientist
- Computer Vision Engineer
- Natural Language Processing (NLP) Engineer
- Robotics Engineer
- AI Product Manager
- AI Consultant
- Ethical AI Specialist
- AI/ML Instructor
- AI Developer Advocate
- AI UX/UI Designer
- AI Business Analyst
- AI Solutions Architect
- AI in Healthcare Specialist
- Amazon
- Microsoft
- IBM
- Tesla
- Apple
- NVIDIA
- OpenAI
- Intel
- Adobe
- Salesforce
- Baidu
- IBM Watson Health
An Artificial Intelligence course typically requires a strong background in mathematics, statistics, and programming. A bachelor’s or advanced degree in computer science, engineering, or a related field is often recommended. Proficiency in languages like Python and a solid understanding of algorithms and machine learning concepts are essential qualifications for success in an AI course.
