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Vibe Coding & AI-Assisted Development

AI-assisted development, increasingly called vibe coding, has become a normal part of how many engineers write, review, and ship code. Tools like GitHub Copilot, Claude, and MCP-enabled IDEs have made this mainstream. Udacity's AI-assisted development courses teach developers how to use these tools effectively in professional software engineering practice. You'll learn vibe engineering techniques for AI-native development workflows, GitHub Copilot for Python development, and Model Context Protocol (MCP) for connecting AI coding assistants to external tools and data sources.

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Vibe Engineering

Master the professional discipline of Vibe Engineering: the transition from ad-hoc prompting to systematic AI orchestration. Working in a fully hosted, AI-enabled development environment, you will build production-ready projects using Claude Code, the world’s top Agentic coding assistant. Learn to apply engineering rigor to AI-generated systems through structured prompting, failure mode detection, and security guardrails. You’ll practice integrating agents into the full development lifecycle, from planning through release-ready code, with guardrails for security and reliability.

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GitHub Copilot with Python

This course offers a comprehensive look at how to integrate GitHub Copilot into Python development workflows. It introduces learners to the tool, demonstrates how to use it to enhance productivity, and explores more advanced applications. The course also covers how Copilot can assist in modernizing and improving legacy codebases. It’s ideal for developers seeking to elevate their Python skills through effective use of AI-powered coding support.

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Model Context Protocol (MCP)

In this course, you'll become an AI architect by learning the Model Context Protocol (MCP). You'll build sophisticated, agentic systems where multiple AI tools, databases, and servers work together as one. You will write your own Python-based MCP clients (the "brain") that use LLMs to plan and execute tasks, and your own MCP servers (the "tools") that perform specific jobs. Your final project is to build "PriceScout," an autonomous bot that can understand a request, scrape websites, query a database, and deliver a complete analysis. Master the skills to build the next generation of interconnected AI.

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Complementary Course Collections

AI-assisted development works best on a real engineering foundation. Pair this collection with Software Development and Programming, Agentic AI, and AI Agent Development to write solid code and put AI to work across your workflow.

Software Development and Programming

Broaden your development expertise with courses in Python, DevOps, and machine learning. Strengthen your foundation in automation, cloud workflows, and scalable systems. These collections support deeper fluency in programming and infrastructure, helping you build, refine, and deploy high-performing applications across diverse tools, platforms, and challenges.

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AI Agent Development

Building reliable agents draws on several adjacent skills. Explore Agentic AI, LLM Fine-Tuning & Training, and RAG & Vector Database courses to design agent workflows, tune the underlying models, and ground them in your own data.

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AI Agent Development

Building reliable agents draws on several adjacent skills. Explore Agentic AI, LLM Fine-Tuning & Training, and RAG & Vector Database courses to design agent workflows, tune the underlying models, and ground them in your own data.

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Explore all of Udacity’s Schools, consisting of hundreds of career-driven programs and courses that are designed to teach practical skills and help you learn to your full potential.

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