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Tier 2
Objects, Data & Algorithms
Intermediate – Objects, Data & Algorithms
Transition from writing lines of code to building organized, data-driven systems. Master OOP, DSA, and ML fundamentals.
3 MonthsAI Module IncludedReal Project
About This Course
Tier 2 is where you stop writing scripts and start engineering systems. You will dive deep into Object-Oriented Programming with C++ and Java, work with real data using NumPy and Pandas, learn core Data Structures and Algorithms, and build your first Machine Learning model. This tier separates hobbyists from developers.
GOAL: Transition from writing lines of code to building organized systems
What You'll Learn
Understand and implement core data structures and algorithms
Design systems using OOP principles in multiple languages
Build interactive Java GUI desktop applications
Manipulate and analyze data with NumPy and Pandas
Implement and evaluate a Linear Regression ML model
Curriculum
Master the 4 pillars of OOP and how they apply differently across languages.
- Encapsulation & abstraction
- Inheritance hierarchies
- Polymorphism in depth
- Interfaces vs abstract classes
- Design patterns (Singleton, Factory)
Capstone Project
Predictive Inventory Manager
A Java GUI desktop app backed by Python ML — predicts stock levels using linear regression on real inventory data.
JavaJavaFXPythonscikit-learnPandas
Real-world ML integration
Desktop GUI with live updates
CSV data pipeline
Prediction accuracy scoring
Deployable locally
Course FAQs
What's Included
- Advanced OOP in C++ and Java
- Live mentoring sessions
- Python data science stack (NumPy + Pandas)
- GitHub portfolio project
- Certification on completion
- Java desktop GUI project
- ML Foundations with linear regression
- Data Structures & Algorithms