Generative AI and ChatGPT Masterclass for Software Engineers

This program is designed to equip software engineers with advanced, practical skills in leveraging Generative AI and ChatGPT to accelerate software development, improve code quality, and build AI-powered applications. It focuses on integrating AI into real engineering workflows, including coding, testing, debugging, system design, and automation. The emphasis is on hands-on application, engineering best practices, and building production-ready AI-enhanced solutions.

Foundations of Generative AI for Engineers

• Understanding Generative AI and large language models

• How AI systems generate and interpret code

• Overview of AI-assisted software engineering workflows

• Key concepts: tokens, context, models, and inference

• Introduction to ChatGPT in engineering contexts

AI-Assisted Software Development

• Generating code using AI tools effectively

• Writing APIs, services, and reusable components with AI

• Refactoring and optimizing existing codebases

• Multi-language development support using AI

• Accelerating development lifecycle with AI assistance

Prompt Engineering for Software Engineering Tasks

• Writing structured technical prompts for code generation

• Debugging and improving AI-generated code outputs

• Using context effectively in engineering prompts

• Generating architecture-level explanations and solutions

• Best practices for reliable AI-assisted development

AI for Debugging, Testing & Code Quality

• Identifying and fixing bugs using AI tools

• Generating unit tests and integration test cases

• Improving code maintainability and readability

• Security vulnerability detection using AI support

• Performance optimization techniques with AI insights

Building AI-Powered Applications with APIs

• Introduction to AI APIs and integration concepts

• Designing AI-powered backend and frontend systems

• Building chatbots and intelligent assistants

• Automating workflows using AI services

• Introduction to the OpenAI API Platform for developers

Advanced Software Design with Generative AI

• AI-assisted system architecture design

• Database schema and system modeling support

• Generating technical documentation and diagrams

• Enhancing software design decision-making

• Integrating AI into enterprise-level systems

Responsible AI Engineering Practices

• Understanding risks in AI-generated code

• Ensuring code reliability and validation standards

• Security, privacy, and compliance considerations

• Ethical use of AI in software development

• Building safe and production-ready AI systems