Career Prep
Essential software tools, placement experiences and interview stories from seniors, and recommended courses to boost your career.
Software & Tools
Showing 35 of 35 toolsAltium Designer
Professional PCB design and layout software.
AMD Vivado
Software suite for synthesis and analysis.
Ansys
Multiphysics engineering simulation and design software.
AutoCAD
Commercial computer-aided design and drafting software.
Cadence Virtuoso
Advanced custom IC design platform.
CATIA
Multi-platform suite for CAD and CAM.
CircuitJS
Electronic circuit simulator running in browsers.
DIY Layout Creator
Drawing tool for circuit board layouts.
EasyEDA
Web-based EDA tool for PCB design.
Figma
Collaborative web-based interface design tool.
FreeCAD
Open-source parametric 3D CAD modeler.
Git & GitHub
Version control system and hosting platform.
IntelliJ IDEA
Integrated development environment for Java.
Jupyter Notebook
Interactive computing environment for Python.
Keil µVision
IDE for microcontroller software development.
KiCad
Open-source suite for electronic design automation.
LabVIEW
Graphical programming environment for test systems.
Logisim
Educational tool for designing logic circuits.
LTspice
High-performance SPICE simulation software.
MATLAB
Programming platform for engineers and scientists.
Microsoft Excel
Industry-standard spreadsheet for data analysis.
Minitab
Statistical software for quality improvement analysis.
MySQL
Open-source relational database management system.
Neovim
Highly extensible Vim-based text editor.
OpenFOAM
Free, open-source computational fluid dynamics software.
Power BI
Interactive data visualization and analytics tool.
Proteus
Circuit simulation and PCB design software.
Python
Versatile and widely-used programming language.
Simulink
Block diagram environment for multidomain simulation.
SOLIDWORKS
Solid modeling computer-aided design program.
Tinkercad
Web-based 3D modeling and circuit simulator.
Ubuntu Linux
Popular open-source Linux operating system.
Visual Studio Code
Extensible and lightweight source code editor.
Wireshark
Widely-used network protocol analyzer software.
Wokwi ESP32
Online simulator for IoT electronics projects.
Recommended Courses
Showing 63 of 63 coursesIntroduction to Internet of Things — NPTEL
Learn how sensors, microcontrollers, communication networks and cloud technologies work together to build smart monitoring and automation systems.
PLC Programming — Udemy
Learn Programmable Logic Controllers, ladder logic, industrial control and automation concepts used in manufacturing and process industries.
MATLAB Onramp — MathWorks
Learn MATLAB basics, calculations, matrices, programming and visualization. Useful for signal processing, control systems and engineering simulations.
Arduino — Udemy
Learn microcontroller programming, sensors, actuators and hardware interfacing. Useful for instrumentation projects and prototypes.
Introduction to Electronics — Coursera
Learn electronic components and circuits, including diodes, transistors, amplifiers and basic circuit analysis.
Sensors and Actuators — Coursera
Learn how sensors measure temperature, pressure, motion and other physical quantities, and how actuators convert control signals into physical action.
Control Systems — NPTEL
Covers feedback systems, transfer functions, stability, block diagrams and controllers. Important for industrial automation and process control.
Industrial Instrumentation — NPTEL
Learn measurement principles, sensors, transducers and industrial instrumentation used to monitor and control physical parameters.
Lean Six Sigma — Udemy
Learn Lean manufacturing concepts, waste reduction, process improvement and Six Sigma techniques used in industrial environments.
MATLAB Onramp — MathWorks
Learn MATLAB fundamentals, calculations, matrices, visualization and programming for engineering analysis and modelling.
Excel Skills for Business — Coursera
Learn Excel from basic to advanced level, including formulas, data analysis, charts and spreadsheets. Very useful for industrial and operations roles.
Supply Chain Management — Coursera
Covers logistics, inventory, transportation, sourcing and supply-chain strategy. Useful for careers in operations and logistics.
Six Sigma — Coursera
Learn quality-improvement techniques, process analysis and the DMAIC methodology used to reduce defects and improve processes.
Production and Operations Management — NPTEL
Covers production planning, scheduling, capacity planning, productivity and efficient management of manufacturing operations.
Supply Chain Management — NPTEL
Learn supply-chain planning, inventory management, logistics, procurement and distribution.
Operations Research — NPTEL
Learn optimization techniques such as linear programming, transportation problems, assignment problems, queuing and decision-making methods.
MATLAB Onramp — MathWorks
Learn MATLAB basics, calculations, matrices, plotting and programming. Useful for engineering calculations, modelling and analysis.
Primavera P6 / Project Management — Udemy
Learn project scheduling, resource planning, cost management and construction project management using Primavera P6.
BIM Fundamentals — Coursera
Introduction to Building Information Modelling (BIM), which is widely used for planning, designing and managing construction projects.
AutoCAD for Beginners — Autodesk
Learn the fundamentals of AutoCAD, including 2D drafting, dimensions, layers and technical drawings. Useful for civil drawings and design.
Transportation Engineering — NPTEL
Covers highway engineering, traffic flow, road materials, pavement design and transportation systems.
Geotechnical Engineering — NPTEL
Learn about soil properties, soil classification, foundations, bearing capacity and soil behaviour.
Strength of Materials — NPTEL
Covers stress, strain, bending, shear force, bending moment, torsion and deformation of structural members.
Structural Analysis — NPTEL
Learn how to analyze beams, trusses, frames and structures under different types of loading.
Python for Everybody — Coursera
A beginner-friendly Python course covering core programming fundamentals, data structures, and automation. Useful for mechanical engineering students working on computational modeling and data analysis.
Introduction to SolidWorks — Udemy
Learn 3D part modelling, assemblies and engineering drawings using SolidWorks. Useful for mechanical CAD and design work.
MATLAB Onramp — MathWorks
Learn MATLAB basics, calculations, matrices, programming and data visualization. Useful for engineering calculations and simulations.
Introduction to Manufacturing Systems — Coursera
Learn manufacturing processes, production systems, machining and modern manufacturing concepts.
Introduction to CAD — Coursera
Learn the fundamentals of Computer-Aided Design and 3D modelling. Useful for mechanical design and product development.
Thermodynamics — NPTEL
Learn the laws of thermodynamics, properties of gases, energy conversion, entropy and thermodynamic cycles.
Engineering Mechanics — NPTEL
Covers forces, moments, equilibrium, friction, kinematics and dynamics. It provides the foundation for many mechanical engineering subjects.
Introduction to Mechanical Engineering — NPTEL
Learn the fundamentals of mechanical engineering, including engineering mechanics, materials, machines and manufacturing concepts.
Python for Everybody — Coursera
A beginner-friendly Python course covering programming fundamentals, data structures, APIs, and working with data. Essential for electronics and computer engineering students.
Control Systems — NPTEL
Learn feedback systems, transfer functions, stability, block diagrams, controllers and system response. Important for automation and control engineering.
Arduino — Udemy
Learn Arduino programming, sensors, motors and microcontroller-based projects. Useful for automation, robotics and electrical projects.
MATLAB Onramp — MathWorks
A beginner-friendly introduction to MATLAB. Learn calculations, scripts, matrices, plotting and basic programming. Very useful for engineering students.
Introduction to Electronics — Coursera
Learn basic electronic circuits, diodes, transistors, amplifiers and circuit analysis. Useful for understanding the electronics side of EEE.
Introduction to Power Systems — Coursera
Learn the fundamentals of electrical power generation, transmission, distribution and power-system operation.
Electrical Machines — NPTEL
Covers transformers, DC machines, induction motors and synchronous machines, including their operating principles and characteristics.
Power Electronics — NPTEL
Learn power semiconductor devices, rectifiers, inverters, choppers and converters used in electrical power systems and industrial applications.
Python for Everybody — Coursera
A beginner-friendly Python course covering programming fundamentals, data structures, APIs, and data processing. Useful for electrical engineering students exploring software, automation, and AI.
Control Systems — NPTEL
Learn feedback systems, transfer functions, stability, block diagrams, controllers and system response. Important for automation and control engineering.
Arduino — Udemy
Learn Arduino programming, sensors, motors and microcontroller-based projects. Useful for automation, robotics and electrical projects.
MATLAB Onramp — MathWorks
A beginner-friendly introduction to MATLAB. Learn calculations, scripts, matrices, plotting and basic programming. Very useful for engineering students.
Introduction to Electronics — Coursera
Learn basic electronic circuits, diodes, transistors, amplifiers and circuit analysis. Useful for understanding the electronics side of EEE.
Introduction to Power Systems — Coursera
Learn the fundamentals of electrical power generation, transmission, distribution and power-system operation.
Electrical Machines — NPTEL
Covers transformers, DC machines, induction motors and synchronous machines, including their operating principles and characteristics.
Power Electronics — NPTEL
Learn power semiconductor devices, rectifiers, inverters, choppers and converters used in electrical power systems and industrial applications.
Arduino Course — Udemy
Learn Arduino programming, microcontroller architecture, interfacing sensors and actuators, and building embedded hardware prototypes.
VLSI Design — NPTEL
Introduces digital VLSI, CMOS circuits and IC design concepts. A good starting point for students interested in semiconductor and chip-design careers.
Python for Everybody — Coursera
A beginner-friendly Python course covering programming fundamentals, data structures, APIs and working with data. Useful for ECE students moving into software and AI.
Introduction to Internet of Things (IoT) — NPTEL
Learn how sensors, microcontrollers, communication networks and cloud technologies work together to build IoT systems.
Introduction to Electronics — Coursera
Covers basic electronic components, diodes, transistors, amplifiers and circuit analysis. Suitable for beginners in ECE.
Digital Signal Processing — Coursera
Learn the fundamentals of digital signal processing, including discrete signals, filtering and frequency-domain analysis.
Embedded Systems — Coursera
Learn embedded-system fundamentals, microcontrollers, embedded programming and hardware-software integration. Useful for students interested in embedded engineering.
Programming in Java — NPTEL
Learn Java programming and object-oriented programming concepts. It covers Java development for building robust, secure and platform-independent applications.
Data Analytics with Python — NPTEL
Learn how Python can be used for data analysis and analytics. The course includes practical experience in creating analytics models and is suitable for CSE students interested in data science.
Introduction to Machine Learning — NPTEL
Introduction to machine-learning concepts and algorithms such as regression, decision trees, KNN, SVM, neural networks and clustering. Basic programming knowledge is expected.
Computer Networks and Internet Protocol — NPTEL
Learn how the Internet and computer networks work, including TCP/IP, network architecture, protocols, application layer, transport layer and network communication.
Operating System — NPTEL
Understand how operating systems manage processes, threads, memory, file systems and security. It also introduces practical OS concepts using a small operating system.
Database Management System — NPTEL
Learn DBMS concepts, relational databases, SQL, ER diagrams, normalization, database design and query optimization. Very useful for backend development and technical interviews.
Programming, Data Structures and Algorithms using C — NPTEL
Covers C programming along with data structures and algorithms such as linked lists, stacks, queues, trees, graphs, sorting, searching, greedy algorithms and dynamic programming.
Problem Solving Through Programming in C — NPTEL
Learn C programming from the basics, including algorithms, loops, functions, arrays, pointers, structures, recursion, searching and sorting. Good for beginners.