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Backend Web Development with AI

via Coursera Specialization

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Details

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Provider

Coursera Specialization
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

8 weeks, 5 hours a week
Sessions

Self-Paced
Level

Beginner

Found in

Overview

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This Specialization is designed for learners who want to build practical backend web development skills while learning how to use AI to support the development process. Through three courses, you’ll develop practical prompt engineering skills, build a foundation in AI-enabled web development, and progress to backend development concepts and applications. By the end of the Specialization, you’ll be prepared to apply AI to support coding and problem-solving while building the technical skills needed to develop functional backend web solutions.

Syllabus

Course 1: Practical Prompt Engineering with AI
Course 2: AI-Enabled Web Development Foundations
Course 3: Professional Backend Development

Courses

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Practical Prompt Engineering with AI teaches learners how to communicate effectively with generative AI to produce more accurate, useful, and efficient results. Through hands-on practice, learners develop prompting techniques for summarizing information, refining AI responses, conducting research, analyzing data, generating visualizations, and creating AI-generated images. Throughout the course, learners explore a variety of prompting strategies, including extractive and abstractive summarization, iterative prompt refinement, and structured prompting. They also gain experience using specialized AI tools—including Claude, predefined Custom GPTs, and DALL·E—to complete workplace tasks more effectively. Practical activities demonstrate how AI can support research, data analysis, content creation, image interpretation, and visual communication. By the end of the course, learners will confidently create effective prompts, choose the right AI tools for different scenarios, and apply practical AI techniques to improve productivity, communication, and decision-making in everyday work.
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AI-Enabled Web Development Foundations introduces learners to Python programming while demonstrating how Python powers modern web applications and AI-enabled development. Through hands-on coding exercises and practical programming activities, learners build the foundational skills needed to understand server-side development, automate common programming tasks, and prepare for more advanced web development concepts. Throughout the course, learners establish a professional development environment using Visual Studio Code and Google Colab, review core web technologies including HTML, CSS, and JavaScript, and develop Python programming skills such as variables, data types, functions, conditional logic, collections, loops, and data manipulation. They also explore how Python supports modern web frameworks, server-side application development, and AI-powered web experiences. By the end of the course, learners will have a strong programming foundation, understand how Python fits within the web development ecosystem, and be prepared to continue into more advanced backend and AI-enabled application development.
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Professional Backend Development prepares learners to build the technical skills needed to develop, manage, and maintain the server-side components that power modern web applications. Designed for aspiring backend developers, software engineers, web developers, and technology professionals, this course explores the technologies, programming concepts, and development practices used to create secure, scalable, and efficient backend systems. Learners develop practical experience working with backend programming concepts, databases, APIs, server-side architecture, authentication, application security, and deployment workflows. Through hands-on projects and real-world development scenarios, learners gain experience building backend services, managing application data, and integrating systems that support modern web applications. The curriculum emphasizes practical application and industry-relevant development practices, helping learners build confidence writing backend code, troubleshooting applications, and supporting production-ready software solutions. By the end of the course, learners will be prepared to contribute to backend development projects, collaborate effectively with development teams, and apply professional software development practices across a variety of technical environments.