AI for Software Development
This course is part of Generative AI Fundamentals.
Discover how to revolutionize your software development workflow with generative AI in this comprehensive course. Learn to leverage AI pair programming tools like CodeWhisperer to enhance productivity, master prompt engineering techniques for optimal AI model outputs, and integrate Rust and Python in modern MLOps practices. Get hands-on experience with AWS services including Code Catalyst, SageMaker, and Lightsail. The course covers automated development workflows, effective prompt crafting, and practical applications of AI in software development. Perfect for both experienced developers and newcomers looking to stay competitive in AI-driven development.
Instructors:
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What you'll learn
Master generative AI implementation in software development workflows
Utilize AI pair programming tools to enhance coding efficiency
Develop effective prompt engineering techniques for AI models
Implement MLOps best practices with Rust and Python
Integrate AWS services for AI-powered development
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 explores the intersection of generative AI and software development, teaching developers how to automate various aspects of their workflow. Students learn to leverage AI pair programming tools, craft effective prompts for AI models, and implement MLOps best practices using Rust and Python. The course covers practical applications with AWS services and focuses on real-world implementation of AI-powered development techniques. The curriculum emphasizes hands-on experience and includes both theoretical knowledge and practical skills needed for modern AI-driven software development.
Automating Software Development with GenAI
Module 1
AI Pair Programming
Module 2
Prompt Engineering for Development
Module 3
MLOps with Rust and Python
Module 4
AWS Services Integration
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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