cloudsandai
Machine Learning & Deep Learning Courses
Structured, instructor-led programs that bring mathematics, statistics, programming and implementation together.
Courses
Choose Your Learning Path
Two structured programs. One foundations-first approach.
Introduction to Machine Learning
₹15,000
A structured foundation program where mathematics, statistics, machine learning and programming develop together through computation.
Machine Learning + Deep Neural Networks
₹20,000
Everything in the Introduction to Machine Learning program, extended with Deep Neural Networks and 6 additional implementation sessions.
Comparison
Compare the Courses
| Feature | Course 1Foundation | Course 2Complete |
|---|---|---|
| Mathematical Foundations for ML | ||
| Statistical Methods | ||
| Machine Learning | ||
| Programming & Scientific Computing | ||
| Computational Practice Sessions | 8 | 8 |
| Deep Neural Networks | ||
| Additional Deep Learning Implementation | 6 | |
| Total Programming Sessions | 8 | 14 |
| Duration | 120 hrs | 180 hrs (additional 60 hrs) |
| Lectures | 60 | 90 (additional 30 lectures) |
| Price | ₹15,000 | ₹20,000 |
Course 2 includes the complete Course 1 curriculum.
Curriculum
The Curriculum
Academic foundations and Programming & Scientific Computing are developed together. Course 2 adds Deep Neural Networks and implementation practice.
Course 1
8 Programming & Scientific Computing Sessions
Course 1 includes 8 Programming Sessions that run alongside the academic curriculum, connecting concepts with implementation.
Sessions
Course 2
6 Additional Deep Learning Sessions
Course 2 adds 6 deep-learning implementation sessions alongside the 8 Programming & Scientific Computing sessions included in Course 1.
Sessions
Course 2 Extension
Deep Neural Networks
Progress from classical machine learning into modern deep learning.
Fundamentals
Feedforward Networks
Optimization
Regularization
CNNs
Sequence Models
Attention
Transformers
Neural Network Search
Time Series Forecasting
Course Selection
Which Track Is Right For You?
Foundation Track
Build a foundation in mathematics, statistics and machine learning while programming and scientific computing develop alongside them through 8 Programming Sessions.
Complete Track
Continue from Course 1 into Deep Neural Networks, with 6 additional deep-learning implementation sessions and 14 Programming Sessions total.
Course 2 includes everything in Course 1.
Start Learning
Build the Foundations.
Then Go Deeper.
Learn theory and computation together, then continue into deep neural networks with Course 2.