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
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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