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Coursera - Generative Ai Software Engineering Specialization

Category: Tutorials


Coursera - Generative Ai Software Engineering Specialization
Coursera - Generative Ai Software Engineering Specialization
Released 10/2025
By Dr. Jules White. Professor of Computer Science - University of Maryland, College Park
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 103 Lessons ( 12h 41m ) | Size: 5.9 GB


AI-Powered Software Engineering and Automation. Master AI agents, prompts, and automated workflows with cutting-edge generative AI tools.
What you'll learn
Develop Python-based agents that independently process data, analyze documents, and execute complex multi-step workflows without human intervention.
Orchestrate Claude Code agents to develop software in minutes, managing parallel development streams across multiple git branches simultaneously.
Engineer sophisticated prompts and build specialized GPTs that understand business contexts and automate domain-specific professional tasks.
Skills you'll gain
Multimodal Prompts
Software Engineering
Generative AI Agents
Agentic systems
Prompt Patterns
Automation
Software Architecture
Software Testing
Software Development Tools
LLM Application
Software Design
Software Development
Artificial Intelligence and Machine Learning (AI/ML)
Productivity
AI Personalization
Tools you'll learn
ChatGPT
Prompt Engineering
Generative AI
Anthropic Claude
OpenAI
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.
Applied Learning Project
Throughout the specialization, learners will progressively build an integrated AI-powered business automation system—starting with Claude Code to rapidly prototype applications, then developing Python agents that autonomously handle complex workflows like document analysis and data processing, engineering sophisticated prompts that enable precise AI reasoning across domains, and finally deploying custom GPTs that serve as intelligent interfaces for end users. All projects are hands-on experiences with state-of-the-art generative AI tools, ensuring learners gain practical expertise with the same cutting-edge technologies reshaping industries today.
You will need paid access to Claude Code and API keys from Anthropic or OpenAI.
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