Learn to Build Smart Systems
From Basics to Real-World AI Projects
Learn: Python | Machine Learning | Deep Learning | Neural Networks | AI Algorithms | Real-time Projects | Model Deployment
What you'll learn
- Understand the core concepts of ML & AI
- Learn Python for machine learning applications
- Explore supervised and unsupervised learning models
- Build predictive models using real datasets
- Train models with regression, classification & clustering
- Understand neural networks and deep learning basics
- Work with TensorFlow & Keras libraries
- Apply AI in real-world scenarios (healthcare, finance, more)
- Evaluate and improve model accuracy
- Build and deploy AI models to the cloud
- Gain hands-on experience through capstone projects
- Get prepared for careers in ML, AI, and data science
Requirements
- Basic programming knowledge (Python preferred)
- A laptop or computer with internet access
- Interest in data, automation, and innovation
Machine Learning & AI Course
