Software Engineering Principles (Video Course)

Description

Over 2.5 Hours of Video Content

Time-Tested Processes for AI-Powered Software Development

Overview:

The ability to build high-quality software quickly is more critical than ever--especially with the rise of generative AI transforming how developers work. This course takes a practical, modern approach to software engineering, combining foundational principles with real-world workflows and AI-enhanced tools. Participants will learn how software is planned, built, and maintained in teams, while gaining hands-on insight into how AI can accelerate development, improve quality, and streamline collaboration across the entire lifecycle.

Through engaging, practical videos, learners gain not just technical know-how, but a strong sense of how to work in real-world team settings, deliver scalable software, and leverage AI to streamline everything from implementation to documentation.

Skill Level:

• Beginner to Intermediate

Learn How To:

• Build a scalable and maintainable software application using modern engineering practices
• Deploy a working version of your software using beginner-friendly cloud or web tools
• Learn key software engineering concepts like reliability, readability, and collaboration workflows
• Perform debugging, testing, and code improvement using both manual and AI-assisted methods

Course requirement:

• Basic programming knowledge in any language and general computer literacy.
• No prior experience with software engineering or AI tools is required.

Who Should Take This Course:

• Junior Software Engineer
• Entry-Level Developer
• Computer Science Student
• Bootcamp Graduate

About Pearson Video Training:   

Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que. Topics include IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at  http://www.informit.com/video.

Video Lessons are available for download for offline viewing within the streaming format. Look for the green arrow in each lesson.

Sample Content

Table of Contents

Introduction

Foundations of Software Engineering

Learn what software engineering is

Get familiar with the software engineers toolkit

Learn about the different types of software projects

Understand the key concepts: scalability, maintainability, reliability

Learn how generative AI is changing the landscape

The Development Process

Learn how real-world software gets built

Collect requirements: What are we building?

Create a design: Planning before coding

Implement the software: Writing the code

Test the software

Deploy the software

Maintain the software

Collaboration and Workflows

Plan a new feature

Design a new feature

Implement a new feature

Use generative AI tools throughout the SDLC

Real-World Practices

Write readable, maintainable code

Use external libraries and APIs

Learn what great engineers do differently and how AI helps

Summary

Updates

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