Chegg Skills

Professional Backend Development

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Chegg Skills

Professional Backend Development

Barry Finder

Instructor: Barry Finder

Included with Coursera PlusLearn more

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Build backend applications using modern programming concepts, server-side development techniques, and industry-standard tools.

  • Design and work with databases, APIs, and application architecture to support scalable web applications.

  • Debug, test, and optimize backend code while applying best practices for security, performance, and maintainability.

  • Use AI-assisted development tools to accelerate coding, troubleshooting, and backend development workflows.

Details to know

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Recently updated!

September 2026

Assessments

10 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Backend Web Development with AI Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 3 modules in this course

Every website and web application relies on a backend to process data, manage business logic, and communicate with databases and users. In this module, you'll explore the purpose of backend development and compare the features of common backend programming languages used to build modern web applications. You'll develop a foundational understanding of the technologies that power server-side development and prepare for the hands-on concepts introduced later in the course. As you explore different backend languages, focus on the types of problems they solve rather than the differences in their syntax. Understanding each language's strengths will help you recognize why developers choose one technology over another.

What's included

11 readings1 assignment

AI assistants are becoming an essential part of the modern software development workflow, helping developers write code, troubleshoot issues, and explore new solutions more efficiently. In this module, you'll learn how to use AI assistants effectively through prompt engineering, integrate AI tools into your development environment, and apply ethical and critical thinking practices when working with AI-generated code. You'll build the skills needed to collaborate with AI confidently while maintaining responsibility for the quality and accuracy of your work. Treat AI as a coding partner, not an authority. The best results come from asking clear questions, evaluating the responses, and using your own expertise to refine the final solution.

What's included

38 readings7 assignments

Building a backend application requires more than writing code. It involves organizing requests, managing application logic, and creating reliable server-side functionality. In this module, you'll explore how to use Node and Express to configure a web server, create routes, implement middleware, and handle errors. By the end of the module, you'll understand how these core components work together to support responsive and maintainable backend applications. As you build your applications, think about how each component contributes to the overall request-response cycle. Understanding how requests move through your application will make it easier to troubleshoot issues and develop scalable backend solutions.

What's included

52 readings2 assignments

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Instructor

Barry Finder
Chegg Skills
33 Courses430 learners

Offered by

Chegg Skills

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