Using AI to streamline your development workflows and tackle complex challenges is essential for staying competitive. In this course, you’ll learn how to integrate advanced generative AI tools into your software development practices to enhance efficiency, improve code quality, and achieve better project outcomes. Building on foundational development and AI concepts, you’ll explore advanced techniques in AI-driven API design, multi-layer integrations, and full-stack application development.

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Advanced GenAI Development Practices
This course is part of GenAI for Software Developers Specialization


Instructors: Paul Pardi
Included with
Recommended experience
What you'll learn
Construct complex, multi-step prompts to solve advanced development challenges.
Analyze various AI approaches for API design and implementation.
Explain integration requirements across front-end, back-end, and database layers using AI for development scenarios.
Describe how to develop a simple full-stack application utilizing AI tools.
Skills you'll gain
Details to know

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September 2025
18 assignments
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- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

There are 5 modules in this course
In this module, you will learn advanced methodologies for designing AI-driven software solutions. You will build foundational skills in AI-driven design, analyze complex software challenges, and create multi-step AI prompts to solve real-world problems. Through practical exercises, you’ll apply these techniques to optimize development workflows and deliver robust AI-powered systems.
What's included
7 videos3 readings4 assignments6 plugins
What's included
7 videos1 reading5 assignments6 plugins
In this module, you will learn how to integrate AI tools across all layers of the software stack, including front-end, back-end, and database systems. You will explore advanced techniques for using AI to coordinate multi-layer operations, debug complex systems, and optimize full-stack workflows. Through hands-on exercises and real-world applications, you will develop the skills needed to enhance efficiency and accuracy in full-stack development with AI.
What's included
3 videos1 reading4 assignments7 plugins
In this module, you will learn how to leverage AI tools to enhance collaboration and optimize team workflows in software development. You will explore strategies for integrating AI into team environments, identify and address common challenges, and develop scalable AI-driven pipelines. Through hands-on activities and real-world applications, you will gain practical experience in using AI to streamline communication, improve efficiency, and support decision-making within development teams.
What's included
3 videos1 reading4 assignments7 plugins
This module consolidates the concepts and skills learned throughout the course. You will apply advanced AI tools and techniques to complete a comprehensive full-stack development project. The module concludes with a final assessment and reflection on how to integrate AI into future projects and workflows effectively.
What's included
1 video2 readings1 assignment1 peer review2 plugins
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