Introduction to Generative AI for Software Development

Introduction to Generative AI for Software Development

This course is part of Generative AI for Software Development Professional Certificate

Instructor: Laurence Moroney

28,485 already enrolled

3 modules

Gain insight into a topic and learn the fundamentals.

4.7

(386 reviews)

Beginner level

Recommended experience

Flexible schedule

Approx. 8 hours

Learn at your own pace

96%

Most learners liked this course

3 modules

Gain insight into a topic and learn the fundamentals.

4.7

(386 reviews)

Beginner level

Recommended experience

Flexible schedule

Approx. 8 hours

Learn at your own pace

96%

Most learners liked this course

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.

Details to know

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Build your Software Development expertise

This course is part of the Generative AI for Software Development Professional Certificate

When you enroll in this course, you'll also be enrolled in this Professional Certificate.

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 from DeepLearning.AI

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Share it on social media and in your performance review

There are 3 modules in this course

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.

What's included

7 videos4 readings2 assignments1 app item

7 videosTotal 35 minutes

Conversation between Laurence Moroney and Andrew Ng11 minutesPreview module
What is Generative AI?3 minutes
AI and machine learning3 minutes
Machine learning example4 minutes
Supervised learning4 minutes
Introduction to transformers2 minutes
Key transformer concepts6 minutes

4 readingsTotal 16 minutes

In-video resources2 minutes
Setting up your Jupyter environment10 minutes
Essential reading: Engage directly with our Jupyter and ChatGPT labs2 minutes
[IMPORTANT] Have questions, issues or ideas? Join our Forum!2 minutes

2 assignmentsTotal 30 minutes

Quiz 115 minutes
Quiz 215 minutes

1 app itemTotal 1 minute

Intake Survey1 minute

What's included

8 videos2 assignments2 ungraded labs1 plugin

8 videosTotal 38 minutes

Transformers and code3 minutesPreview module
Generating code with chatbots8 minutes
Iterative prompting4 minutes
Giving the LLM feedback4 minutes
Assigning the LLM a role5 minutes
Leveling up with multiple roles2 minutes
Expert roles for specialized knowledge4 minutes
LLM best practices4 minutes

2 assignmentsTotal 30 minutes

Quiz 115 minutes
Quiz 215 minutes

2 ungraded labsTotal 10 minutes

ChatGPT environment - To be used alongside with the lectures5 minutes
Python environment - To be used alongside with the lectures5 minutes

1 pluginTotal 15 minutes

Apply prompting best practices to improve a prompt15 minutes

What's included

9 videos2 readings2 assignments1 programming assignment4 ungraded labs

9 videosTotal 46 minutes

Data structures in production0 minutesPreview module
Arrays4 minutes
Linked lists7 minutes
Self-paced exercise: Doubly-linked Lists 3 minutes
Trees9 minutes
Graphs6 minutes
Graded lab: Graph algorithms1 minute
Hash tables and maps10 minutes
Course conclusion1 minute

2 readingsTotal 15 minutes

(Optional) Downloading your Notebook and Refreshing your Workspace10 minutes
Acknowledgments5 minutes

2 assignmentsTotal 30 minutes

Quiz 115 minutes
Quiz 215 minutes

1 programming assignmentTotal 180 minutes

Implementing algorithms in Graphs180 minutes

4 ungraded labsTotal 75 minutes

ChatGPT environment - To be used alongside with the lectures5 minutes
Building a Doubly Linked List Class with an LLM60 minutes
GPT-4o Environment for Ungraded Lab (to use alongside the Ungraded Lab)5 minutes
GPT-4o Environment for Assignment (to use alongside the programming assignment)5 minutes

Instructor

Instructor ratings

4.8 (124 ratings)

Laurence Moroney

DeepLearning.AI

19 Courses545,257 learners

Offered by

DeepLearning.AI

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4.7

386 reviews

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Reviewed on Jan 16, 2025

Great instructor, great content, great explanation, great quality experience.

Reviewed on Nov 29, 2024

One of excellent course. Details out we can get out of an LLM for software development.

Reviewed on Oct 20, 2024

Excellent course. I was able to combine what I was learning with the practical challenges

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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.

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

Introduction to Generative AI for Software Development

What you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

Build your Software Development expertise

Earn a career certificate

There are 3 modules in this course