Computer Engineering courses can help you learn circuit design, embedded systems, computer architecture, and software development. You can build skills in programming languages like C and Python, hardware troubleshooting, and system integration. Many courses introduce tools such as simulation software, development environments, and debugging tools, that support designing and testing both hardware and software components.

Skills you'll gain: Software Development Life Cycle, Software Architecture, Full-Stack Web Development, Software Design, Web Development, Software Development Methodologies, Software Design Patterns, Development Environment, Unified Modeling Language, Software Engineering, Web Applications, Software Development Tools, Software Development, Application Deployment, Programming Principles, Front-End Web Development, Web Language, Back-End Web Development, Integrated Development Environments, Python Programming
★ 4.7 (4.9K) · Beginner · Course · 1 - 3 Months

University of California, Irvine
Skills you'll gain: Network Security, Computer Hardware, Computer Systems, Information Technology, System Software, General Networking, Network Protocols, Operating Systems, System Configuration, Computer Networking
★ 4.6 (294) · Beginner · Course · 1 - 4 Weeks

Princeton University
Skills you'll gain: Microarchitecture, Computer Architecture, Memory Management, Computer Systems
★ 4.7 (3.9K) · Advanced · Course · 3 - 6 Months

Dartmouth College
Skills you'll gain: Natural Language Processing, Digital Signal Processing, Field-Programmable Gate Array (FPGA), Technical Communication, Embedded Software, Embedded Systems, Machine Learning Methods, Distributed Computing, Deep Learning, Microarchitecture, Generative Adversarial Networks (GANs), Computer Vision, Recurrent Neural Networks (RNNs), Hardware Design, Machine Learning, Vision Transformer (ViT), Systems Architecture, Embeddings, Systems Analysis, Professional Development
Degree · 1 - 4 Years
University of Colorado Boulder
Skills you'll gain: Prompt Engineering, New Product Development, Sustainability Reporting, Model Based Systems Engineering, Model Evaluation, Generative AI, Agile Project Management, Sustainable Business, Data Mining, Field-Programmable Gate Array (FPGA), Delegation Skills, Strategic Decision-Making, Real-Time Operating Systems, Object Oriented Design, Sampling (Statistics), Failure Analysis, Data Ethics, Goal Setting, Database Design, Data Visualization
Degree · 1 - 4 Years

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Data Analysis, Computational Logic, Engineering Calculations, Integral Calculus, Trigonometry, Linear Algebra, Engineering Analysis, Logical Reasoning, Deductive Reasoning, Probability & Statistics, Statistical Analysis, Calculus, Statistics, Statistical Methods, Bayesian Statistics, Statistical Inference, Theoretical Computer Science, Mathematics and Mathematical Modeling, Numerical Analysis, Descriptive Analytics
★ 4.5 (204) · Beginner · Specialization · 3 - 6 Months
University of London
Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Arithmetic, Computer Literacy, General Networking, Javascript, Network Security, Computer Networking, Application Security, Applied Mathematics, Computer Graphics, Cybersecurity, Computer Programming, General Mathematics, Numerical Analysis, Mathematical Modeling, Problem Solving
★ 4.2 (1.6K) · Beginner · Specialization · 1 - 3 Months

The Hong Kong University of Science and Technology
Skills you'll gain: Software Design Patterns, Requirements Analysis, White-Box Testing, Software Architecture, Acceptance Testing, Software Development Methodologies, Unified Modeling Language, Software Development Life Cycle, Configuration Management, Software Quality Assurance, Debugging, Software Design, Software Engineering, Software Testing, Functional Requirement, Data Modeling, Systems Design, Object Oriented Programming (OOP), Project Management, Project Planning
★ 4.6 (684) · Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Embedded Software, Real-Time Operating Systems, Embedded Systems, Software Architecture, Code Reusability, Pseudocode, Memory Management, Computer Hardware, Electronic Hardware, System Programming, Computer Architecture, Software Design, Cross Platform Development, Hardware Architecture, Systems Design, Software Design Patterns, Internet Of Things, Hardware Troubleshooting, System Software, Systems Integration
★ 3.3 (14) · Intermediate · Specialization · 1 - 3 Months

Princeton University
Skills you'll gain: Programming Principles, Computer Programming, Object Oriented Programming (OOP), Code Reusability, Java Programming, Java, Program Development, Computer Science, Algorithms, Animations
★ 4.7 (1.4K) · Beginner · Course · 1 - 3 Months

Princeton University
Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Computer Systems, Algorithms, Computer Programming, Hardware Architecture, Computational Logic, Java Programming, Computer Hardware
★ 4.6 (800) · Intermediate · Course · 1 - 3 Months

Microsoft
Skills you'll gain: Computer Hardware, Generative AI, Hybrid Cloud Computing, Cloud Computing, Operating Systems, Cloud Management, Patch Management, Computer Systems, Servers, Business Software, Computer Architecture, AI literacy, Data Storage, Cybersecurity
★ 4.8 (1.1K) · Beginner · Course · 1 - 4 Weeks
High-quality free Computer Engineering courses you can start today.
Earn a certificate in Computer Engineering from top universities and companies.
Top-rated beginner-friendly Computer Engineering courses with no prerequisites.
Computer engineering is a discipline that combines principles of electrical engineering and computer science to develop computer systems and hardware. It plays a crucial role in our increasingly digital world, enabling the design and creation of everything from microprocessors to embedded systems. As technology continues to advance, computer engineering becomes even more important, driving innovation in various fields such as artificial intelligence, robotics, and the Internet of Things (IoT). Understanding computer engineering equips individuals with the skills to contribute to these advancements, making it a vital area of study for aspiring engineers.
A degree in computer engineering opens the door to a variety of career opportunities. Graduates can pursue roles such as software developer, hardware engineer, systems architect, and network engineer. Additionally, positions in emerging fields like AI and machine learning are increasingly available. With the demand for skilled professionals in technology continuing to grow, computer engineering offers a pathway to rewarding careers in both established and innovative sectors.
To succeed in computer engineering, you need a solid foundation in several key skills. Proficiency in programming languages such as C++, Python, and Java is essential. Understanding digital logic design, computer architecture, and operating systems is also crucial. Additionally, skills in problem-solving, critical thinking, and teamwork are important, as many projects require collaboration across disciplines. Familiarity with tools and technologies related to software development, hardware design, and networking will further enhance your capabilities in this field.
There are numerous online courses available for those interested in computer engineering. Some of the best options include the Computer Vision for Engineering and Science Specialization, which focuses on image processing and machine learning, and the IBM AI Engineering Professional Certificate, which covers essential AI concepts. Additionally, courses like Discrete Mathematics for Computer Science and Engineering provide foundational knowledge critical for understanding algorithms and data structures.
Yes. You can start learning computer engineering on Coursera for free in two ways:
If you want to keep learning, earn a certificate in computer engineering, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.
Learning computer engineering involves a combination of theoretical knowledge and practical application. Start by enrolling in introductory courses that cover fundamental concepts. Engage in hands-on projects to apply what you learn, such as building simple circuits or programming small applications. Joining online communities or study groups can also provide support and enhance your learning experience. As you progress, consider specializing in areas like software development, hardware design, or network engineering to deepen your expertise.
Computer engineering courses typically cover a range of topics, including digital logic design, computer architecture, programming languages, algorithms, and data structures. Other important subjects include operating systems, embedded systems, and network protocols. Many courses also incorporate practical projects that allow students to apply their knowledge in real-world scenarios, ensuring a comprehensive understanding of both theoretical and practical aspects of the field.
For training and upskilling employees in computer engineering, courses like the IBM DevOps and Software Engineering Professional Certificate and the Preparing for Google Cloud Certification: Cloud Engineer Professional Certificate are excellent choices. These programs focus on current industry practices and technologies, equipping professionals with the skills needed to excel in their roles and adapt to the evolving tech landscape.