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Mastering Generative AI for Software Development

Rav Ahuja

Do you want to enhance your software development career by leveraging the power of generative AI? This course explores the transformative applications of generative AI across the entire software development lifecycle.

The course teaches how generative AI-based tools enable code generation, scripting, and program creation, boosting developer productivity and automating repetitive tasks. You will learn how to train and fine-tune these models for specific software development needs, from generating custom code snippets to creating intelligent applications.

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Do you want to enhance your software development career by leveraging the power of generative AI? This course explores the transformative applications of generative AI across the entire software development lifecycle.

The course teaches how generative AI-based tools enable code generation, scripting, and program creation, boosting developer productivity and automating repetitive tasks. You will learn how to train and fine-tune these models for specific software development needs, from generating custom code snippets to creating intelligent applications.

You will gain hands-on experience building static websites and prototypes using AI, accelerating the design process and fostering innovation. The course covers techniques for AI-assisted design and architecture, allowing you to explore new creative possibilities and optimize software structure.

You will also discover how generative AI can be used for bug detection, code refactoring, and program optimization, leading to improved code quality and maintainability. The course provides insights into the ethical considerations, challenges, and limitations of using generative AI in software development, emphasizing responsible AI practices.

Build a standout portfolio with hands-on labs and real-world projects, applying generative AI to real software development scenarios. From AI-powered features to streamlined workflows, you'll gain the practical experience employers demand. Plus, you'll learn to evaluate the impact of generative AI, preparing you for the future of software engineering. Enroll now and future-proof your career!

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What's inside

Learning objectives

  • Job-ready ai-powered software development skills in less than 1 month, plus you’ll get practical experience
  • How to generate code snippets, scripts, and programs using generative ai models, automating development tasks
  • Hands-on experience training and fine-tuning generative ai models for software development needs, creating custom solutions
  • How to create static websites and prototypes using ai, accelerating design and development processes

Syllabus

Syllabus
Module 0: Welcome
Video: Course Introduction
Reading: General Information
Read more
Reading: Learning Objectives and Syllabus
Reading: Grading Scheme
Module 1: Generative AI and Software Development
Reading: Module Introduction and Learning Objectives
Video: Introduction to Generative AI in Software Development
Video: Meet Your Experts
Video: Gen AI in Software Development
Video: Leveraging Generative AI in Software Development Lifecycle
Video: Large Language Models (LLM) and Transformers
Video: Natural Language Processing (NLP) and Its Significance
Reading: Popular Tools of Generative AI for Software Development
Reading: Tokens in Generative AI
Lab: OpenAI Account Setup and API Key Generation
Optional Lab: Setting Up the Development Environment Using Visual Code Studio
Lab: Building a Basic Chatbot using ChatGPT
Lab: Get Familiar with Generative AI Classroom
Video: Leveraging AI for Technical Help and Best Practices on Design Patterns and Architecture
Video: AI for Coding and Development
Lab: Generate Database Design with ChatGPT
Lab: Get a Solution to the Given Coding Problem
Demo Video: GitHub CoPilot for Code Generation and Troubleshooting
Generating Static Website using Generative AI
Demo Video: Generating Prototypes with Generative AI
Reading: Generating Architecture and Design Diagrams Using Generative AI
Demo Video: Generating Architecture and Design Diagrams Using Generative AI
Reading: Managing Legacy Code with Gen AI
Video: Gen AI for Technical Help and Software Architecture
Module 1 Practice Quiz: Generative AI and Software Development
Module 1 Summary: Generative AI and Software Development
Reading: Useful Prompts for Software Design and Development
Module 1 Graded Quiz: Generative AI and Software Development
Optional Reading Setting Up Your Own AI Development Environment with ChatGPT
Module 2: Generative AI for Software Development Workflows and its Considerations
Video: Introduction to CI/CD Using AI
Video: Gen AI for CI/CD Tools
Module 4: Final Exam
Lab: Write a Dockerfile for a Node App Deployment
Video: Generative AI for Security in Software
Final Exam: Generative AI for Software Developers
Video: Popular Generative AI Tools for Security in Software
Video: Generative AI for Software Testing
Module 5: Course Wrap-Up
Lab: Generate Test Cases for Specific Use Case Using Generative AI
Video: Integration of Generative AI Into Software Development Workflows
Reading: Enhancing Your Software Developer Career with Generative AI
Lab: Software Documentation Using Chat GPT
Lab: Code Translation Using Generative AI
Video: Wrap-up
Lab: Review Code with Generative AI
Reading: Considerations for Software Development for Generative AI
Reading: Ethical Considerations for Using Generative AI in Software Development
Video: Ethical Considerations for Software Development in AI
Video: Innovation with Generative AI in Software Development
Module 2 Practice Quiz: Generative AI for Software Development Workflows and Its Considerations
Module 2 Cheatsheet: Generative AI for Software Development Workflows and its Considerations
Module 2 Summary: Generative AI for Software Development Workflows and its Considerations
Module 2: Generative AI for Software Development Workflows and its Considerations
Module 3: Final Project
Final Project: Pre-Work
Reading: Final Project Overview
Final Project: CodeCraftHub: Building Personalized Learning for Developers
Reading: Congratulations and Next Steps
Reading: Thanks from the Course Team
Copyrights and Trademarks

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Mastering Generative AI for Software Development with these activities:
Review Foundational Programming Concepts
Strengthen your understanding of core programming concepts to better grasp how generative AI tools leverage these principles for code generation and optimization.
Browse courses on Object-Oriented Programming
Show steps
  • Review data structures and algorithms.
  • Practice coding exercises on platforms like LeetCode.
  • Study design patterns.
Prompt Engineering Exercises
Improve your ability to effectively communicate with generative AI models by practicing prompt engineering techniques.
Show steps
  • Experiment with different prompts for code generation tasks.
  • Analyze the output and refine your prompts.
  • Document your findings and best practices.
Read 'Building Machine Learning Powered Applications'
Gain a deeper understanding of how machine learning models are integrated into applications, providing context for using generative AI in software development.
View Building Machine Learning Powered Applications:... on Amazon
Show steps
  • Read the book, focusing on chapters related to model deployment and integration.
  • Experiment with the code examples provided in the book.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Read 'Generative Deep Learning'
Gain a deeper understanding of the underlying technology behind generative AI models, enhancing your ability to use them effectively in software development.
View Generative Deep Learning: Teaching Machines To... on Amazon
Show steps
  • Read the book, focusing on chapters related to transformers and GANs.
  • Implement some of the models described in the book.
Write a Blog Post on Ethical Considerations
Deepen your understanding of the ethical implications of using generative AI in software development by researching and writing a blog post on the topic.
Show steps
  • Research ethical considerations related to generative AI in software development.
  • Outline the key points for your blog post.
  • Write the blog post, providing examples and insights.
  • Edit and proofread your blog post.
Build an AI-Powered Code Assistant
Apply your knowledge by creating a tool that uses generative AI to assist with code completion, bug detection, or code refactoring.
Show steps
  • Choose a specific task for the code assistant.
  • Select a generative AI model and API to use.
  • Develop the user interface and backend logic.
  • Test and refine the code assistant.
Contribute to an Open-Source AI Project
Gain practical experience and contribute to the community by participating in an open-source project related to generative AI.
Show steps
  • Find an open-source project that aligns with your interests.
  • Review the project's documentation and contribution guidelines.
  • Identify a bug or feature to work on.
  • Submit a pull request with your changes.

Career center

Learners who complete Mastering Generative AI for Software Development will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Mastering Generative AI for Software Development.
Cover image
Generative Deep Learning
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Provides a comprehensive overview of generative deep learning models, including GANs, VAEs, and transformers. It covers the theory behind these models and provides practical examples of how to use them. This book is valuable as additional reading to gain a deeper understanding of the underlying technology behind generative AI. It is commonly used as a textbook at academic institutions.
Generative Deep Learning: Teaching Machines To...
Paperback
$$$
Generative Deep Learning: Teaching Machines to...
Paperback
$$$$
(Deutsch) Generatives Deep Learning: Maschinen das Malen,...
Kindle Edition
$$
(Français) Deep learning génératif
Paperback
$$$
Generative Deep Learning: Teaching Machines To...
Hardcover
$$$$
(中文) Generative deep learning(Chinese Edition)
Paperback
$$
Cover image
Building Machine Learning Powered Applications
Save
Provides a practical guide to building applications with machine learning. It covers the entire process, from data collection to deployment, and includes real-world examples. It is particularly useful for understanding how to integrate generative AI models into software development workflows. This book provides additional depth to the concepts covered in the course.
Building Machine Learning Powered Applications:...
Paperback
$$
Building Machine Learning Powered Applications:...
Kindle Edition
$$

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Effort
2 to 3 hours per week for 3 weeks
Level
Intermediate
Via
edX
Institution
IBM
Instructor
Rav Ahuja
Session
February 28, 2025 - January 30, 2026
Language
English
Transcript
English
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