Find Your Machine Learning Path
Each course is designed to meet learners at their current level and guide them toward practical capabilities in machine learning.
Return HomeCourses for Every Stage of Your Journey
Whether you're beginning to explore machine learning or ready to apply advanced techniques, we offer courses that provide clear instruction and practical experience tailored to your needs.
All courses share our core methodology of patient teaching, hands-on projects, and personalized support. The difference lies in the technical depth and prerequisites for each program.
Machine Learning Foundations
This program introduces learners to machine learning concepts with patient, clear instruction. Participants explore supervised and unsupervised learning paradigms through intuitive explanations. The curriculum covers linear regression, classification algorithms, and model evaluation metrics. Learners implement algorithms using Python and scikit-learn in guided exercises. The program emphasizes understanding over memorization, building genuine comprehension. Mathematical concepts are introduced gradually with practical context.
Deep Learning Essentials
This course guides learners through neural network architectures and deep learning frameworks. Participants explore perceptrons, activation functions, and backpropagation with supportive instruction. The curriculum covers CNNs for image processing and RNNs for sequential data. Learners build models using TensorFlow and Keras with step-by-step guidance. The program includes practical projects applying deep learning to real problems. GPU computing concepts and cloud training options receive attention.
Applied ML Workshop
This workshop focuses on deploying machine learning models in practical applications. Participants learn feature engineering, model optimization, and deployment strategies. The curriculum covers MLOps basics, model monitoring, and continuous improvement practices. Learners work on end-to-end projects from data preparation to production deployment. The program addresses ethical AI considerations and bias detection. Collaborative projects simulate real-world ML engineering scenarios.
Choose Based on Your Experience Level
| Aspect | ML Foundations | Deep Learning | Applied ML |
|---|---|---|---|
| Prerequisites | Basic programming knowledge | ML foundations or equivalent | ML and deep learning basics |
| Focus Area | Core ML concepts and algorithms | Neural networks and architectures | Production deployment and MLOps |
| Primary Tools | Python, scikit-learn | TensorFlow, Keras | Full ML stack and deployment tools |
| Best For | Beginners starting ML journey | Advancing to neural networks | Real-world application focus |
| Investment | ₹28,000 | ₹38,000 | ₹45,000 |
Which Course Is Right for You?
Start with Foundations
If you're new to machine learning or want to build a solid understanding of core concepts, begin with Machine Learning Foundations. This course provides the groundwork for all future learning.
Progress to Deep Learning
If you have ML basics and want to work with neural networks for image or sequence problems, Deep Learning Essentials builds on foundational knowledge to explore advanced architectures.
Apply in Production
If you understand ML and deep learning but want to deploy models in real applications, Applied ML Workshop teaches the practical skills needed for production ML systems.
Not Sure Which Course to Choose?
We're happy to discuss your background and goals to help you select the right starting point. Many students progress through multiple courses as their skills develop.
Recommended Learning Progression
Stage 1
Machine Learning Foundations
Build core understanding of ML concepts, algorithms, and Python implementation.
Stage 2
Deep Learning Essentials
Advance to neural networks, CNNs, RNNs, and deep learning frameworks.
Stage 3
Applied ML Workshop
Learn deployment, MLOps, and production ML system development.
Ready to Begin Your Machine Learning Journey?
Choose the course that matches your current level and goals. We're here to support you every step of the way.
Discuss Your Course Options