We may earn an affiliate commission when you visit our partners.

Agile with AI

Noah Gift

In this cutting-edge course, you'll discover how to:

Leverage the power of generative AI to rapidly prototype and iterate on ideas
Apply prompt engineering techniques to guide AI models towards desired outputs
Utilize AI pair programming tools to boost developer productivity and creativity
Integrate generative AI seamlessly into your DevOps workflow for maximum impact

In this cutting-edge course, you'll discover how to:

Leverage the power of generative AI to rapidly prototype and iterate on ideas
Apply prompt engineering techniques to guide AI models towards desired outputs
Utilize AI pair programming tools to boost developer productivity and creativity
Integrate generative AI seamlessly into your DevOps workflow for maximum impact

Whether you're a seasoned software engineer or just starting your coding journey, this course will equip you with the skills and knowledge to push the boundaries of what's possible with AI-powered software development. Get ready to transform the way you build software and stay ahead of the curve in this exciting new era of AI-driven innovation.

Enroll now

What's inside

Learning objectives

Defining generative ai and its software development applications
Applying prompt engineering to guide ai model outputs
Understanding few-shot learning for teaching ai models new tasks

Utilizing ai pair programming tools for enhanced productivity
Integrating generative ai with devops best practices

Defining generative ai and its software development applications
Applying prompt engineering to guide ai model outputs
Understanding few-shot learning for teaching ai models new tasks
Utilizing ai pair programming tools for enhanced productivity
Integrating generative ai with devops best practices

Syllabus

• Module 1: About the Course (Module)

◦ Meet your instructors (Lesson)

‣ Course Introduction (Video, 1m 23s)

‣ Instructor Background: Noah Gift (Reading, 1m)

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Develops skills and knowledge useful for software development that employers seek today

Taught by recognized instructors in the AI field

Builds on existing foundation for intermediate learners

May require students to come in with extensive background knowledge

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.

Save

Reviews summary

Integrating ai into agile workflows

Based on its comprehensive curriculum, learners are expected to find this program a crucial resource for integrating generative AI into agile software development workflows. The course is designed to equip students with practical skills in prompt engineering and AI pair programming, aiming to significantly boost developer productivity. It promises a solid foundation in applying AI to DevOps and refining effective technical communication crucial for modern software teams, positioning it as highly relevant for professionals seeking to transform their software development practices.

Provides a strong grounding in agile principles and teamwork.

"I'm gaining a solid understanding of Agile's historical origins, including Waterfall planning and the Toyota Way."

"The course covers foundational agile concepts such as Scrum and Kanban for project management."

"I'm exploring effective technical teamwork and productivity techniques within an agile context."

Enhances essential communication and project management skills.

"I'm improving my technical discussion skills through practical applications with Markdown, GitHub, and Jupyter/Colab."

"The course helps me with effective technical project management, including ticket tracking using Trello."

"I'm developing reproducible technical discussions and project plans, which is crucial for team collaboration."

Equips students with tools for enhanced developer efficiency.

"The course introduces AI pair programming tools that I can use to boost my productivity and creativity."

"I'm learning to utilize specific tools like Amazon Q (CodeWhisperer) for real-world applications."

"I anticipate applying these methods to transform how I build software and stay ahead of the curve."

Focuses on combining AI capabilities with agile methodologies.

"I'm learning to leverage generative AI for rapid prototyping and iterating on ideas."

"This course empowers me to apply prompt engineering techniques effectively to guide AI model outputs."

"I expect to integrate generative AI seamlessly into my DevOps workflow for maximum impact."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Agile with AI with these activities:

Review Agile Concepts

Show steps

Refresher the core concepts of Agile methodologies, such as Scrum and Kanban, to better understand their application in the course.

Browse courses on Agile

Show steps

Read through the syllabus and skim the assigned Agile readings.
Review the Agile Manifesto and its principles.
Create a mind map or diagram outlining the key concepts of Agile development.
Share your understanding with other students in a discussion forum.

Build a Personal Code Snippet Library

Show steps

Kickstart your coding journey by creating a repository of code snippets that align with the concepts and techniques covered in the course, fostering a strong foundation.

Browse courses on Software Engineering

Show steps

Create a new repository or notebook for your code snippets.
Identify common coding patterns and algorithms relevant to the course.
Write clear and concise code snippets demonstrating these patterns.
Document your code with comments and explanations.
Test your code snippets and troubleshoot any errors.

Participate in Code Review Sessions

Show steps

Sharpen your coding skills and foster a collaborative learning environment by engaging in regular code review sessions with peers, providing valuable feedback and improving code quality.

Browse courses on Coding

Show steps

Form a study group or connect with other students online.
Establish guidelines for code review, including feedback criteria and communication protocols.
Take turns submitting code for review and providing constructive feedback.
Discuss alternative solutions and best practices.
Reflect on the feedback received and incorporate it into your own code.

Three other activities

Expand to see all activities and additional details

Show all six activities

Develop an AI Resource Collection

Show steps

Create a comprehensive collection of valuable resources related to AI, including articles, tutorials, videos, and tools, to enhance your understanding and stay updated with industry advancements.

Browse courses on Artificial Intelligence

Show steps

Identify and gather high-quality resources relevant to the course material.
Organize and categorize the resources into a logical structure.
Provide annotations or summaries for each resource to highlight its key takeaways.
Share your resource collection with other students or make it publicly available.

Join AI Hackathons or Competitions

Show steps

Put your skills to the test and gain practical experience by participating in AI hackathons or competitions, pushing the boundaries of your knowledge and problem-solving abilities.

Browse courses on Generative AI

Show steps

Research upcoming AI hackathons or competitions relevant to the course topics.
Form a team or work individually.
Develop an innovative AI solution that addresses the competition's challenge.
Present your solution to a panel of judges.
Receive feedback and learn from other participants.

Contribute to Generative AI Open-Source Projects

Show steps

Gain hands-on experience with generative AI by contributing to open-source projects, collaborating with a global community of developers, and pushing the boundaries of AI innovation.

Browse courses on Generative AI

Show steps

Identify open-source projects related to generative AI that align with your interests.
Review the project's documentation and codebase.
Identify an area where you can contribute, such as bug fixes, feature enhancements, or documentation improvements.
Fork the project, make your changes, and submit a pull request.
Collaborate with the project maintainers to ensure your contributions meet the project's standards.

Career center

Learners who complete Agile with AI will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Agile with AI.

Human Compatible

Save

Written by a leading AI researcher, this book addresses the critical challenge of ensuring that AI systems are designed to be beneficial and aligned with human values. It explains the potential risks of advanced AI and proposes a new foundation for AI development. is highly relevant to contemporary discussions on AI safety and ethics and is accessible to a broad audience.

Agile with AI

What's inside

Learning objectives

Syllabus

Traffic lights

Save this course

Reviews summary

Integrating ai into agile workflows

Activities

Career center

Reading list

Share

Similar courses

edX Buyer Protection & Guarantee

Free Audit Track Available

14-Day Full Refund Window

Verified Academic & Industry Partner