Agile Development with AI
This course is part of Generative AI Fundamentals.
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
Shareable certificate
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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
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Generative AI Fundamentals
Instructor
Executive in Residence and Founder of Pragmatic AI Labs at Duke University
Noah Gift is the founder of Pragmatic AI Labs and serves as an Executive in Residence at Duke University, where he lectures in the Master of Interdisciplinary Data Science (MIDS) program. He specializes in designing and teaching graduate-level courses on machine learning, MLOps, artificial intelligence, and data science, while also consulting on machine learning and cloud architecture for students and faculty. A recognized expert in the field, Gift is a Python Software Foundation Fellow and an AWS Machine Learning Hero, holding multiple AWS certifications, including AWS Certified Solutions Architect and AWS Certified Machine Learning Specialist. He has authored several influential books, such as Practical MLOps, Python for DevOps, and Pragmatic AI, and has published over 100 technical articles across various platforms, including Forbes and O'Reilly. His extensive industry experience includes roles as CTO and Chief Data Scientist for notable companies like Disney Feature Animation, Sony Imageworks, and AT&T, contributing to major films like Avatar and Spider-Man 3. Gift's work has generated millions in revenue through product development on a global scale. He actively consults startups on machine learning and cloud architecture while leading initiatives to enhance data science education.
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Frequently asked questions
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