This course is designed to enhance your skills by integrating AI chatbots into 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 career.
Introduction to Generative AI for Software Development
This course is part of Generative AI for Software Development Professional Certificate
Instructor: Laurence Moroney
17,742 already enrolled
(240 reviews)
Recommended experience
What you'll learn
Integrate generative AI in development. Learn to use generative AI tools from initial design to deployment, enhancing your efficiency and creativity.
Optimize your code quality. Improve your coding, if you’re just starting and need help fixing bugs or an experienced developer breaking new ground.
Experiment quickly. Using LLMs can speed up your ability to prototype and test new features, allowing you to quickly iterate and ship your code.
Learn how LLMs work. By knowing how machine learning systems work, you’ll be able to use them more effectively to support your work as a developer.
Skills you'll gain
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September 2024
6 assignments
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There are 3 modules in this course
What's included
7 videos4 readings2 assignments1 app item
What's included
8 videos2 assignments2 ungraded labs1 plugin
What's included
9 videos2 readings2 assignments1 programming assignment4 ungraded labs
Instructor
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Recommended if you're interested in Software Development
DeepLearning.AI
DeepLearning.AI
Coursera Instructor Network
Johns Hopkins University
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Frequently asked questions
The course focuses on integrating generative AI tools into software development, covering machine learning techniques, transformer models, iterative code refinement, and advanced data structures.
Ideal for software developers, engineers, and aspiring professionals with intermediate knowledge of software development and a basic understanding of AI concepts.
You will learn to integrate generative AI tools, apply machine learning techniques, implement and optimize data structures, and use iterative prompting and role-based AI feedback to refine code.