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Access a diverse range of courses across multiple disciplines. Learn at your pace!
Courses
Advanced Programming
Advanced programming encompasses a deeper understanding and application of programming concepts beyond the basics.
IT Workshop (Sci Lab/MATLAB)
An introductory hands-on course designed to familiarize students with scientific computing using Scilab or MATLAB for numerical analysis, data visualization, and engineering problem-solving.
Data Science Advance
Data Science, especially at an advanced level, is an interdisciplinary field focused on extracting knowledge and insights from data using various techniques and tools.
Advance Programming In Java
Advanced Programming in Java refers to a collection of concepts and technologies that extend beyond the fundamental principles of Core Java. While Core Java focuses on the basics of the language, such as object-oriented programming (OOP) principles, data types, control structures, and standard libraries, Advanced Java delves into more complex areas crucial for developing robust, scalable, and dynamic applications.
Environmental Engineering
Environmental Engineering is a multidisciplinary branch of civil engineering that focuses on protecting and improving the natural environment to safeguard human health and promote sustainable development. It involves the study and application of scientific and engineering principles to control pollution, manage natural resources, and design systems for water supply, wastewater treatment, solid waste management, air pollution control, and environmental impact assessment.
Machine Learning Basics
This course is a beginner-friendly introduction to the world of Machine Learning (ML). It’s designed for students, beginners, and curious minds who want to understand how machines learn from data. You don’t need to be a math expert or a coder — just basic Python knowledge and a willingness to learn. In this course, you’ll: Understand what machine learning is (in simple words) Explore different types of machine learning Learn how to work with data Build your first machine learning models using Python Use real-world examples to make things clear Apply what you learn in a final hands-on mini project By the end, you’ll be able to confidently explain ML concepts, build small ML programs, and understand how companies like Netflix or Google use ML in real life.
JAVA Foundation Course
The Java Foundation Course is a beginner-friendly, in-depth program aimed at helping students develop a solid understanding of the core principles of Java programming. Whether you're new to coding or seeking to strengthen your fundamentals, this course takes a step-by-step approach to make learning Java easy, effective, and practical. This course consists of four comprehensive chapters, each packed with clear theoretical explanations, solved code examples, and practical programming problems. You'll begin with the basics of syntax and control structures, then explore how to organize code using functions, move into the world of object-oriented programming, and finally, learn to manage errors and interact with external files using Java's robust exception handling and file I/O capabilities. What You'll Learn: Core Java syntax and structure Operators, conditionals, and loops Functions and modular programming Object-oriented programming: classes, objects, inheritance, polymorphism Handling runtime errors wit
AWS Basic
This course is designed to introduce beginners to the fundamentals of Amazon Web Services (AWS), the leading cloud computing platform. Through a combination of theoretical knowledge and practical exercises, students will gain a solid understanding of core AWS services, including computing, storage, networking, and security. The course emphasizes hands-on experience, enabling learners to navigate the AWS Management Console, launch and manage virtual servers, and store and retrieve data using AWS services.
Python Advance
This advanced Python course is designed for programmers who already have a solid foundation in Python basics and wish to deepen their understanding of the language's powerful features and advanced capabilities. The course covers essential advanced topics such as object-oriented programming (OOP) in depth, metaprogramming, decorators, generators, concurrency, asynchronous programming, memory management, testing, and working with external libraries and modules.
IoT (Internet of Things) Advance
This advanced course in Internet of Things (IoT) is designed for learners who already possess a foundational understanding of IoT systems and technologies. It explores deeper technical concepts, system-level integration, real-time operations, and cutting-edge developments that define the modern IoT ecosystem. The course combines advanced hardware and software practices with cloud, AI, and edge capabilities to build scalable, secure, and intelligent IoT applications. Learners will gain practical and theoretical knowledge necessary for research, innovation, and enterprise-grade IoT development.
Robotics Advance
"Robotics Advance" is a comprehensive, textbook-style course tailored for learners with foundational knowledge in robotics who wish to explore advanced concepts, systems, and applications in the field. This course delves into the design, control, perception, cognition, and autonomy of robotic systems. It emphasizes mathematical modeling, real-time decision-making, sensor fusion, motion planning, and AI integration in robotic platforms. Special focus is placed on real-world applications such as industrial automation, swarm robotics, humanoid robots, autonomous vehicles, and surgical robotics. Each chapter combines rigorous theory with practical insights and is structured to foster critical thinking, system-level understanding, and problem-solving capabilities.
Python Programming Language
The Complete Python Bootcamp From Zero to Hero in Python
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