Technology
AI & Machine Learning
Master supervised, unsupervised and deep learning with hands-on projects.
Created by Rahul Verma, Machine Learning Engineer
What you'll learn
- Core concepts of ai & machine learning
- Hands-on, project-based practice
- Industry best practices and tools
- Problem solving with real-world case studies
- Interview and workplace readiness
- Building a portfolio to showcase your skills
Course curriculum
2 modules · 5 lessons · 145 minModule 1Module 1: Foundations3 lessons
Module 2Module 2: Applied Skills2 lessons
- 1 Neural Networks & Deep Learning Locked 36 min
- 2 Model Deployment Locked 43 min
Description
Master supervised, unsupervised and deep learning with hands-on projects. This industry-standard programme combines structured video lessons, live instructor-led classes, weekly doubt-clearing sessions and practical projects. By the end of the course you will have a portfolio of work and the confidence to apply your skills in a professional setting.
Requirements
- A laptop or desktop with internet access
- Willingness to learn and practise regularly
- No prior experience required unless stated for advanced courses
Your instructor
RV
Rahul Verma
Machine Learning Engineer · 8+ years of experience
Rahul builds production ML systems and teaches practical, project-first machine learning.
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