Agile Development with AI
Learn to revolutionize software development by integrating generative AI, prompt engineering, and AI pair programming into Agile workflows.
Learn to revolutionize software development by integrating generative AI, prompt engineering, and AI pair programming into Agile workflows.
This innovative course combines Agile methodology with cutting-edge AI technologies to transform software development practices. Students will learn to leverage generative AI for rapid prototyping, master prompt engineering techniques, and implement AI pair programming tools to enhance developer productivity. The curriculum covers foundational Agile concepts, effective technical communication, and practical DevOps integration with AI tools. Through hands-on experience, participants will discover how to seamlessly blend AI capabilities into their development workflow while maintaining Agile best practices.
Instructors:
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What you'll learn
Master prompt engineering techniques for effective AI model outputs
Implement AI pair programming tools to enhance developer productivity
Integrate generative AI into DevOps workflows effectively
Apply Agile methodologies with AI automation tools
Develop effective technical communication strategies
Understand few-shot learning for AI model training
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 5 modules in this course
This comprehensive course bridges traditional Agile methodologies with modern AI capabilities. Starting with foundational Agile concepts and their historical context, students learn about effective technical communication and project management practices. The curriculum then advances to practical applications of AI in software development, including generative AI implementation, prompt engineering techniques, and AI pair programming tools. Special attention is given to DevOps integration and automation strategies using AI, while maintaining core Agile principles.
About the Course
Module 1
Introduction to Agile Concepts
Module 2
Developing Effective Technical Communication
Module 3
Developing Effective AI Automation
Module 4
Conclusion and Next Steps
Module 5
Fee Structure
Instructor
30 Courses
Pioneering Tech Leader & AI Educator Shaping the Future of Machine Learning
Noah Gift is a distinguished technology leader and founder of Pragmatic AI Labs with a remarkable 30-year career spanning film, TV, telecom, social networks, startups, and big data, currently serving as an Executive-in-Residence at Duke University. As an AWS ML Hero and Python Software Foundation Fellow, he has authored best-selling books through O'Reilly and Pearson on DevOps, MLOps, data engineering, and cloud computing that are widely adopted by major universities. His expertise in MLOps, data engineering, cloud architecture, and Rust programming has led him to teach thousands of students across prestigious institutions including Duke, Northwestern, UC Berkeley, University of San Francisco, and UC Davis, while also collaborating with Caltech and JPL on automated IT systems. Gift's impact extends beyond academia through his work as a startup CTO, his role in developing scalable distributed systems, and his contributions as a keynote speaker at conferences focused on cloud development and ethical AI use, holding certifications from AWS, Google, and Microsoft, and having published over 100 technical works while conducting workshops for organizations like NASA, PayPal, and PyCon.
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