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LinkedIn Learning

Prompt Engineering Skills for Developers

via LinkedIn Learning Path

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Overview

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Transform into an AI-powered developer who leverages intelligent prompting to code faster, debug smarter, and build innovative applications. Master AI workflow integration, automated testing, and production-ready AI apps. Become the developer who guides AI to solve complex problems. This learning path is well-suited for software engineers, full-stack developers, and tech leads wanting to stay competitive.

Syllabus

Courses under this program:
Course 1: AI and Developer Productivity
-Learn how to leverage cutting-edge AI-powered tools to improve your development productivity, creativity, and professional problem-solving skills.

Course 2: Introduction to Prompt Engineering for Generative AI
-Learn how to craft high-impact prompts for generative AI tools such as Copilot, ChatGPT, Gemini, and Claude, with hands-on practice.

Course 3: Prompt Engineering with ChatGPT
-Learn how to boost your productivity by leveraging powerful prompt engineering techniques with cutting-edge AI tools such as ChatGPT.

Course 4: ChatGPT: Perfecting Your Output with Templates in Prompts
-Learn how to use Markdown templating and advanced prompt engineering techniques to achieve precise, beautifully formatted results from ChatGPT.

Course 5: Prompt Engineering with LangChain
-Learn the foundations of LangChain, a powerful framework for large language model applications.

Course 6: Building Advanced AI Apps with Prompt Flow
-Develop LLM-based AI apps with Prompt Flow. Create, analyze, and evaluate workflows linking LLMs, prompts, and Python code. Ensure production-quality apps through effective debugging and performance evaluation.

Courses

Taught by

Ronnie Sheer, Xavier (Xavi) Amatriain, Ray Villalobos, Morten Rand-Hendriksen, Dave Birss, Chris Dutton and Microsoft Learn

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