Course Details
This AI course provides comprehensive training in machine learning, deep learning, and AI application development. You'll gain hands-on experience with real datasets and build a professional portfolio of AI projects.
- Python for AI & Data Science
- Machine Learning Fundamentals
- Neural Networks & Deep Learning
- Computer Vision with OpenCV
- Natural Language Processing
- TensorFlow & PyTorch Frameworks
- AI Model Deployment
- Ethics in AI
- Reinforcement Learning
- Real-world AI Projects
Course Content
- Introduction to Artificial Intelligence
- History and Evolution of AI
- Types of AI (Narrow, General, Super)
- AI Applications in Industry
- Python for AI Development
- NumPy and Pandas for Data Handling
- Data Visualization for AI
- Supervised vs Unsupervised Learning
- Regression Algorithms
- Classification Techniques
- Clustering Methods
- Model Evaluation Metrics
- Feature Engineering
- Hyperparameter Tuning
- Neural Network Fundamentals
- TensorFlow and Keras
- PyTorch Framework
- Convolutional Neural Networks
- Recurrent Neural Networks
- Transfer Learning
- Generative Adversarial Networks
- Computer Vision with OpenCV
- Natural Language Processing
- Speech Recognition Systems
- Recommendation Engines
- AI in Healthcare
- AI for Financial Markets
- AI Model Deployment
What you'll learn
- Build and train machine learning models
- Implement deep learning solutions
- Develop computer vision applications
- Create natural language processing systems
- Work with TensorFlow and PyTorch
- Deploy AI models to production
- Understand AI ethics and responsible AI
- Build a professional AI portfolio