Advanced GenAI Development Practices
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Advanced GenAI Development Practices
This course is part of GenAI for Software Developers Specialization
Instructors: Paul Pardi
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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
Tools you'll learn
Details to know
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- 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
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.
This course emphasizes practical, real-world applications, equipping you with the tools and skills needed to handle complex software projects. Through hands-on experience with platforms such as GitHub Copilot and ChatGPT, you’ll explore AI-driven techniques to construct multi-step prompts and optimize integration across development layers. By the end of this course, you’ll have the experience to seamlessly integrate AI-powered solutions into your development workflows.
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 assignments7 plugins
7 videos•Total 42 minutes
- Welcome to Advanced AI Development Practices•4 minutes
- Introduction to AI-Driven Solution Design•7 minutes
- Key Frameworks for AI-Assisted Solution Design and Development•8 minutes
- Identifying Complex Problems AI Can Solve•5 minutes
- AI-Powered Problem Solving: Strategies for Large-Scale Systems•5 minutes
- Introduction to Multi-Step Prompt Engineering•6 minutes
- Debugging and Refining AI Prompts•6 minutes
3 readings•Total 14 minutes
- Reading: Course Overview•4 minutes
- Reading: How to Succeed in This Course•6 minutes
- Module Summary: Advanced Solution Design•4 minutes
4 assignments•Total 54 minutes
- Practice Quiz: Foundations of AI-Driven Solution Design•10 minutes
- Practice Quiz: Identifying and Addressing Challenges•10 minutes
- Practice Quiz: Building Effective Multi-Step Prompts•10 minutes
- Graded Quiz: Advanced Solution Design•24 minutes
7 plugins•Total 84 minutes
- Helpful Tools and Resources•5 minutes
- Reading: Responsible AI Use in Software Development•15 minutes
- Reading: Real-World Applications of AI in Solution Design•7 minutes
- Reading: Advanced Principles of Generative AI in Software Development•6 minutes
- Reading: AI Techniques for Addressing Complex Software Challenges•6 minutes
- Reading: Techniques for Designing Effective Multi-Step AI Prompts•5 minutes
- Lab: Create and test a multi-step prompt for solving a complex software problem•40 minutes
In this module, you will explore advanced techniques for leveraging AI tools in database and API development workflows. You will learn how to use AI to streamline API design, automate database operations, and enhance performance optimization. Through practical applications and hands-on exercises, you will develop AI-driven strategies to augment your existing development skills and improve efficiency in backend systems.
What's included
7 videos1 reading5 assignments6 plugins
7 videos•Total 41 minutes
- Introduction to AI-Driven API Design•5 minutes
- Video: AI-Assisted API Documentation Automation and Endpoint Generation•6 minutes
- Overview of AI Applications in Database Operations•4 minutes
- Video: Automating Database Schema Creation with AI Tools•7 minutes
- AI for Database and API Security•7 minutes
- Video: AI Solutions for Data Privacy and Compliance•5 minutes
- AI-Assisted API and Database Performance Optimization•6 minutes
1 reading•Total 4 minutes
- Module Summary: AI for Scalable, Secure, and Optimized Software Systems•4 minutes
5 assignments•Total 61 minutes
- Practice Quiz: Using AI for API Design and Implementation•10 minutes
- Practice Quiz: Streamlining Database Operations with AI•10 minutes
- Practice Quiz: AI-Assisted Security Enhancements•10 minutes
- Practice Quiz: Performance and Scalability Optimization•10 minutes
- Graded Quiz: AI for Scalable, Secure, and Optimized Software Systems•21 minutes
6 plugins•Total 50 minutes
- Reading: Benefits of Using AI for API Development•5 minutes
- Reading: Techniques for AI-Driven Database Performance Analysis•4 minutes
- Reading: Identifying Vulnerabilities Using AI-Driven Tools•6 minutes
- Reading: Best Practices for Securing AI-Integrated Systems•5 minutes
- Reading: Performance Bottlenecks in Database and API Systems•5 minutes
- Lab: Use AI to Optimize the Performance of a Provided API•25 minutes
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
3 videos•Total 18 minutes
- AI in Full-Stack Integration•6 minutes
- How AI Coordinates Multi-Layer Operations•6 minutes
- Video: AI-Assisted Debugging for Complex Full-Stack Systems•6 minutes
1 reading•Total 4 minutes
- Module Summary: AI-Assisted Full-Stack Integration•4 minutes
4 assignments•Total 50 minutes
- Practice Quiz: Integrating AI Tools in Full-Stack Development•8 minutes
- Practice Quiz: Coordinating Multi-Layer Operations with AI•10 minutes
- Practice Quiz: Debugging and Testing Multi-Layer Software with AI•8 minutes
- Graded Quiz: AI-Assisted Full-Stack Integration•24 minutes
7 plugins•Total 66 minutes
- Reading: Practical Applications of AI in Multi-Layer Development•5 minutes
- Reading: Common Challenges in Full-Stack Workflows and AI Solutions•7 minutes
- Reading: AI-Driven Techniques for Aligning Database, Server, and Client-Side Processes•6 minutes
- Reading: Best Practices for Integrating AI in Full-Stack Workflows•5 minutes
- Reading: AI Tools for Debugging Full-Stack Software•12 minutes
- Reading: Techniques for AI-Driven Testing Across Software Layers•6 minutes
- Lab: Apply AI tools to Debug Software•25 minutes
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
3 videos•Total 18 minutes
- Introduction to AI in Team Collaboration•6 minutes
- Video: AI-Assisted Task Automation and Workload Management•5 minutes
- Video: Common Challenges in AI-Driven Collaboration•6 minutes
1 reading•Total 4 minutes
- Module Summary: Building Team AI Workflows•4 minutes
4 assignments•Total 49 minutes
- Practice Quiz: Collaborative Development with AI Tools•10 minutes
- Practice Quiz: Optimizing Team Workflows with AI•8 minutes
- Practice Quiz: Overcoming Challenges in AI-Driven Team Environments•10 minutes
- Graded Quiz: Building Team AI Workflows•21 minutes
7 plugins•Total 76 minutes
- Reading: AI-Assisted Tools for Collaboration and Code Reviews•5 minutes
- Lab: Use an AI Tool to Review Code in a Team Setting•20 minutes
- Reading: Enhancing Workflow Efficiency with AI in Team Environments•5 minutes
- Reading: Optimizing Team Workflows with AI Tools•5 minutes
- Lab: Use an AI Tool to Analyze and Optimize a Team Workflow•30 minutes
- Reading: Strategies for Managing AI Adoption in Teams•5 minutes
- Reading: Addressing Communication and Technical Hurdles with AI•6 minutes
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
1 video•Total 3 minutes
- Course Summary•3 minutes
2 readings•Total 4 minutes
- Reading: Congratulations and Next Steps•3 minutes
- Thanks from the Course Team•1 minute
1 assignment•Total 51 minutes
- Final Exam: Advanced GenAI Development Practices•51 minutes
1 peer review•Total 30 minutes
- Final Project: Submission and Evaluation•30 minutes
2 plugins•Total 75 minutes
- Final Project: Document and Reflect on AI-Assisted Software Development Workflows•60 minutes
- Reading: Glossary: Advanced GenAI Development Practices•15 minutes
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