Introduction to Generative AI for Software Development

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Introduction to Generative AI for Software Development

Coursera · Beginner ·🧠 Large Language Models ·3mo ago

Key Takeaways

Integrates AI chatbots as pair programmers in software development using large language models

Original Description

This course is designed to enhance your skills by integrating AI chatbots as pair programmers in your development process. You’ll learn about how large language models (LLMs) work and how this general-purpose technology can be applied to common software development tasks to help boost productivity, creativity, and support you in your tasks as a developer. By the end of this course, you will be able to: - Understand the differences between machine learning and traditional software development - Describe how large language models generate text - Prompt an LLM to assist in the tasks that make up the software developer role - Guide an LLM to complete a task in a specific way by writing detailed prompts and iterating to improve output - Leverage the depth of software development knowledge encoded in an LLM by prompting it to assume specific job roles or personas - Write code quickly using an LLM as a pair-coding partner - Analyze code for efficiency, security, and performance using an LLM This course assumes you have a background in software development, but are new to using LLMs as part of your development process. By knowing how machine learning systems work, and having an understanding of how they can be applied in software development, you’ll be able to use them more effectively to support your growth and work as a developer or engineer.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Prompts Are Not Dead, Bad Prompts Are. How to write a Perfect Prompt?
Learn to write effective prompts to unlock AI potential, as poor prompts hinder model performance
Medium · Programming
📰
Running LLMs Locally in 2026: The Complete Guide to Benefits, Trade-offs, and Getting Started
Learn how to run LLMs locally in 2026, including benefits, trade-offs, and a step-by-step guide to getting started
Dev.to AI
📰
A Four-Part Prompt Structure for Financial Variance Commentary (That Actually Holds Up)
Learn a four-part prompt structure for financial variance commentary that drives effective analysis and decision-making
Dev.to · Clarity With AI
📰
Unlocking the Power of Open-Weight LLMs: A Developer's Guide to API Integration
Learn to integrate open-weight LLMs into your applications using APIs and unlock their full potential for enhanced language understanding and generation
Dev.to · NovaStack
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →