Generative AI Software Engineering

Übersicht

Transform from Code Writer to AI Orchestrator in 4 Comprehensive Courses The software engineering landscape has fundamentally shifted. While others debate whether AI will replace developers, you'll learn to amplify your capabilities by 1000X through strategic AI partnership.

This specialization teaches you to think beyond traditional coding—you'll orchestrate AI agents that build entire applications in minutes, manage parallel development streams, and solve complex problems autonomously. What You'll Achieve:

Build production software at unprecedented speed — Watch Claude Code construct full-stack applications with databases, APIs, and user interfaces while you focus on architecture and strategy Command AI agents that think and act independently — Deploy Python-powered agents that analyze requirements, write code, run tests, and integrate features across multiple git branches simultaneously Deploy custom AI assistants for real business problems — Create specialized GPTs that understand your company policies, process expense reports, analyze legal documents, and handle complex workflows with human-like intelligence This isn't about learning to use AI tools—it's about fundamentally reimagining how complex work gets done.

You'll graduate with frameworks, like Claude Code and OpenAI GPTs, that remain valuable regardless of which AI technologies dominate tomorrow, because you'll understand the underlying principles of human-AI collaboration at the deepest level.

Lehrplan

• Introduction to Generative AI in Software Engineering
Understanding the transformation in the software engineering landscape
Overview of generative AI capabilities and their impact on development
• Becoming an AI Orchestrator
Reimagining software development workflows
Strategic AI partnership: augmenting human capabilities
• Building Production Software with AI
Introduction to Claude Code for rapid application development
Constructing full-stack applications with databases, APIs, and UIs
Focusing on architecture and strategic considerations
• Commanding Independent AI Agents
Deploying Python-powered AI agents
Autonomous analysis of requirements, coding, testing, and feature integration
Managing parallel development streams across multiple git branches
• Deploying Custom AI Assistants for Business Solutions
Creating specialized GPTs for enterprise applications
Programming AI to understand and apply company policies
Automating complex workflows such as expense reporting and legal document analysis
• Frameworks for Human-AI Collaboration
Developing frameworks that remain relevant amidst evolving AI technologies
Principles of deep human-AI collaboration
Ensuring sustainable and ethical AI integration in software development
• Capstone Project: AI-Orchestrated Software Solution
Designing and deploying a comprehensive software solution using generative AI
Presenting a strategic vision of human-AI collaboration in real-world contexts

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Unterrichtet von

Dr. Jules White

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Fachgebiete

Computer Science