Generative AI: Elevate your Software Development Career
Master AI-powered development: use ChatGPT, GitHub Copilot, & cutting-edge tools. Boost productivity & innovate with AI in your software projects!
Master AI-powered development: use ChatGPT, GitHub Copilot, & cutting-edge tools. Boost productivity & innovate with AI in your software projects!
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full IBM AI Developer Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.7
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What you'll learn
Master AI tools for code generation and optimization
Implement AI-powered testing and security solutions
Design software architecture using generative AI
Leverage LLMs for technical problem-solving
Apply ethical AI practices in development workflows
Skills you'll gain
This course includes:
1.8 Hours PreRecorded video
7 assignments
Access on Mobile, Desktop, Tablet
FullTime access
Shareable certificate
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 3 modules in this course
This comprehensive course explores the integration of generative AI into software development workflows. Students learn to leverage AI-powered tools like ChatGPT and GitHub Copilot for code generation, bug detection, and architecture design. The curriculum covers practical applications of Large Language Models (LLMs) and transformers in software development, along with best practices for AI implementation in CI/CD pipelines and security testing. Special emphasis is placed on ethical considerations and innovation in AI-assisted development.
Generative AI and Software Development
Module 1 · 7 Hours to complete
Generative AI for Software Development Workflows and its Considerations
Module 2 · 5 Hours to complete
Final Project and Final Exam
Module 3 · 4 Hours to complete
Fee Structure
Instructors
Technology Education and Skills Development Leader at IBM
Rav Ahuja serves as the Chief Content Officer and Global Program Director at IBM Skills Network, where he leads curriculum creation, growth strategy, and partner programs. After earning his B.Eng. from McGill University and MBA from the University of Western Ontario, he co-founded Cognitive Class, an IBM initiative focused on democratizing access to in-demand technology skills. Based at the IBM Canada Lab in Toronto, he specializes in developing instructional solutions for AI, Data Science, Cloud Computing, and Cybersecurity. His impact on technology education is evidenced through his role as architect of numerous IBM Professional Certificates and instructor for over 35 online courses, including popular offerings like "What is Data Science?", "Introduction to Cloud Computing," and "Introduction to Artificial Intelligence (AI)." His courses have reached hundreds of thousands of learners worldwide, with "What is Data Science?" alone enrolling over 638,000 students. His recent work includes developing new Generative AI courses and career guidance content for IBM's Professional Certificate programs, demonstrating his ongoing commitment to preparing learners for emerging technology careers
Empowering Developers Through Generative AI
Ramanujam Srinivasan is an esteemed instructor and expert in leveraging generative AI for software development, with a focus on transforming complex development workflows into efficient, innovative processes. As part of IBM's educational initiatives, Srinivasan has co-designed courses like "Generative AI for Software Developers," aimed at equipping learners with cutting-edge skills such as code generation, application architecture, bug detection, and optimization using tools like ChatGPT, GitHub Copilot, and IBM Watsonx Code Assistant.Through his insightful instruction and practical modules, Srinivasan enables developers to adopt generative AI techniques while addressing ethical considerations, ensuring responsible implementation. His expertise empowers professionals to stay ahead in the rapidly evolving tech landscape, making AI an indispensable part of modern software development.
Testimonials
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4.7 course rating
56 ratings
Frequently asked questions
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