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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
8 videos5 readings2 assignments1 app item
Show info about module content
8 videos•Total 37 minutes
Conversation between Laurence Moroney and Andrew Ng•12 minutes
Course Overview•1 minute
What is Generative AI?•3 minutes
AI and machine learning•4 minutes
Machine learning example•4 minutes
Supervised learning•4 minutes
Introduction to transformers•3 minutes
Key transformer concepts•6 minutes
5 readings•Total 25 minutes
In-video resources•2 minutes
Setting up your Jupyter environment•10 minutes
Essential reading: Engage directly with our Jupyter and ChatGPT labs•2 minutes
Getting the Most Out of this Course•10 minutes
Join the DeepLearning.AI Forum to ask questions, get support, or share amazing ideas!•1 minute
2 assignments•Total 30 minutes
Quiz 1•15 minutes
Quiz 2•15 minutes
1 app item•Total 1 minute
Intake Survey•1 minute
Pair-coding with an LLM
Module 2•2 hours to complete
Module details
What's included
12 videos2 assignments2 ungraded labs
Show info about module content
12 videos•Total 59 minutes
Transformers and code•3 minutes
Generating code with chatbots•9 minutes
Iterative prompting•4 minutes
Giving the LLM feedback•5 minutes
Assigning the LLM a role•6 minutes
Leveling up with multiple roles•2 minutes
Expert roles for specialized knowledge•5 minutes
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Learner reviews
4.6
649 reviews
5 stars
77.23%
4 stars
14%
3 stars
2.76%
2 stars
3.07%
1 star
2.92%
Showing 3 of 649
G
GM
5·
Reviewed on Sep 30, 2024
Excellent course. As always, Professor Moroney's classes are very engaging and rich in high-level content. It is frustrating that the LLM sometimes forgets previously given prompts and instructions.
C
CP
4·
Reviewed on Apr 21, 2025
The course is good, but I just battled with understanding the Python code part, as I'm a beginner.
D
DC
5·
Reviewed on Oct 8, 2024
Even though I use LLMs for my day-to-day tasks as a DevOps engineer, this course helped me refine my prompting skills and I saw improvement in getting my work done already!
The course focuses on integrating generative AI tools into software development, covering machine learning techniques, transformer models, iterative code refinement, and advanced data structures.
Who should take this course?
Ideal for software developers, engineers, and aspiring professionals with intermediate knowledge of software development and a basic understanding of AI concepts.
What will I learn?
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.
What are the prerequisites?
Intermediate knowledge of software development. Familiarity in one or more programming languages like Python, JavaScript, and C# will help you get the most out of this course.
Who is the instructor?
Laurence Moroney, Chief AI Scientist at VisionWorks Studios and former AI lead at Google, brings extensive experience in AI advocacy, education, and practical implementation.
How will this course help in my career?
Improve coding efficiency and creativity, tackle complex coding challenges, optimize performance, and ensure security, making you more competitive in the job market.
Can I take this course at my own pace?
Yes, the course is designed to be self-paced.
What kind of support is available?
Access to discussion forums, mentors, and course slides are available to support your learning.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. 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.
What will I get if I subscribe to this Certificate?
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.