Engineering Courses and Certifications

Enhance your knowledge of electrical system design in Revit, learning to create and coordinate professional electrical designs within Building Information Models (BIM).

• VDCI
• 30 hours
• Self-Paced
• $579.00

Organic Solar Cells - Theory and Practice

1239 ratings at Coursera

Explore organic solar cell theory, materials, stability, and processing. Gain insights into this alternative energy technology, its applications, and fabrication techniques.

• Coursera
• 23 hours
• Self-Paced
• Paid Course

AutoCAD Construction Documents I

2 ratings at CreativeLive

Master AutoCAD to create construction documents, including title blocks, floor plans, roof plans, and building elevations for a single-story residential home.

• CreativeLive
• 18 hours
• 8th Jun, 2026
• Paid Course

Mastering Debugging with Java

Gain insights into debugging Java programs through hands-on practice with error messages, syntax issues, logical problems, and exception handling using space-themed examples.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Object-Oriented Programming in Java

Master object-oriented programming fundamentals through hands-on Java projects, from basic class creation to advanced inheritance concepts, encapsulation, and method overriding.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Understanding Debugging with JavaScript

Master JavaScript debugging techniques, error handling, and exception management while working through space-themed challenges that teach systematic problem-solving and code optimization.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Object-Oriented Programming in JavaScript

Master object-oriented programming principles in JavaScript through hands-on exercises, from classes and constructors to inheritance and encapsulation, enhancing code organization and maintainability.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

AutoCAD 3D Modeling

1 rating at CreativeLive

Master AutoCAD 3D modeling by building complex forms, adding intricate details, and manipulating models through rotating, scaling, and moving parts with powerful tools.

• CreativeLive
• 18 hours
• 13th Oct, 2026
• Paid Course

Applied Math for Materials Science and Engineering

Master fundamental calculus, power series, and differential equations for materials science and engineering applications, building a strong mathematical foundation for physical science research.

• Coursera
• 7 hours 21 minutes
• Self-Paced
• Paid Course

Applied Math for Materials Science and Engineering (Part 2)

Master multivariable calculus, infinite series, and complex numbers with direct applications to materials science, including coordinate transformations, convergence tests, and LCR circuit analysis.

• Coursera
• 13 hours
• Self-Paced
• Paid Course

How to Create Collage Paper

Learn techniques for creating unique collage paper through mixing colors, hand painting, stamping, and stenciling. Discover how to use these custom papers in various art projects and mixed-media sculptures.

• CreativeLive
• 1 hour 44 minutes
• Self-Paced
• Paid Course

Debugging in C++

Master error handling and debugging techniques in C++ through hands-on practice with common issues like syntax errors, runtime problems, and exception handling for more reliable code development.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Diving Into C++ Classes

Master C++ classes and object-oriented programming through hands-on practice with constructors, encapsulation, methods, and class composition to build robust software architectures.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Data Analytics Engineering: Probability & Techniques

Explore data analytics fundamentals, from Python basics to advanced techniques. Learn data structures, wrangling, and exploratory analysis to extract meaningful insights from real-world datasets.

• Coursera
• 19 hours 23 minutes
• Self-Paced
• Paid Course

Engineering Probability and Statistics Part 1

Discover foundational statistics and probability concepts including variables, distributions, and data analysis techniques for engineering applications.

• Coursera
• 22 hours 22 minutes
• Self-Paced
• Paid Course