AI & Machine Learning
Launch your career in artificial intelligence by mastering core concepts of machine learning, deep learning, and modern AI tools—from data processing to building intelligent systems. This course prepares you to design, train, and deploy AI-powered models used in real-world applications. No prior experience is required; you’ll gain hands-on practice, project-based learning, and job-ready AI development skills.
Practical learning
Apply concepts through real AI projects
No prior coding required
Start from fundamentals and grow step-by-step
Mock interview practice
Prepare for real AI/ML job interviews
Flexible schedule
Learn at your own pace
What you’ll learn
- Build and train machine learning models for classification, regression, clustering, and prediction tasks.
- Master deep learning concepts, including neural networks, CNNs, RNNs, and transformers.
- Work with Python scientific libraries such as NumPy, Pandas, Scikit-learn, and TensorFlow/PyTorch.
- Develop AI applications like chatbots, recommender systems, and image recognition tools.
- Implement end-to-end ML pipelines including data preprocessing, model deployment, and monitoring.
Skills you’ll gain
Python
NumPy
Pandas
Machine Learning
Deep Learning
Neural Networks
TensorFlow / PyTorch
Data Visualization
AI APIs
NumPy
Pandas
Machine Learning
Deep Learning
Neural Networks
TensorFlow / PyTorch
Data Visualization
AI APIs