Generative AI-Powered Assistant for Developers
About this course
This specialization enables developers to leverage generative AI to optimize coding efficiency, accelerate code generation, and integrate AI-powered automation into development workflows. In the first course, "Generative AI for Code Efficiency and Auto-Generation," learners will be introduced to generative AI tools, focusing on auto-code generation techniques across popular languages such as Python, Java, C++, JavaScript, PHP, and SQL. The second course, "Mastering Code Optimization and Customization with AI," dives deeper into customizing code recommendations, understanding references, and optimizing, transforming, and explaining code. Finally, the third course, "AI-Powered DevOps and Data Engineering on AWS," covers advanced AI applications for improving DevOps processes, security vulnerability scanning, and accelerating data engineering on AWS. Throughout the courses, participants will gain applied experience by addressing real-world development challenges, gradually increasing their ability to automate coding tasks and enhance their productivity with AI tools.
Price shown by Coursera — confirm on their site.
Enroll on CourseraYou'll be redirected to Coursera to complete enrollment.
- Listed & compared by CourseAsk
- English · All Levels
More courses like this
Coursera
Midjourney for Beginners: Step-by-Step AI Art Guide
Coursera · MOOC / Non-credit
Devenez Expert de ChatGPT-5 – formation complète 2026
Udemy · MOOC / Non-credit
NVIDIA Associate Generative AI LLM (NCA-GENL) Practice Tests
Udemy · Certificate
AI-102 Practice Tests Prep Exams
Udemy · MOOC / Non-credit
More courses from Coursera
Coursera
TCP/IP and Internet
Birla Institute of Technology & Science, Pilani · MOOC / Non-credit
Coursera
Agile Project Management
University of Colorado Boulder · Master's Degree
Coursera
Conservation and Sustainable Development
University of Michigan · MOOC / Non-credit
Coursera
Extra-Galactic Astronomy
University of Cambridge · MOOC / Non-credit