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LinkedIn Learning

Hands-On Projects for OpenAI-Powered Apps

via LinkedIn Learning Path

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Overview

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Dive into real-world, hands-on projects that teach you how to build OpenAI-powered applications. This path is ideal for developers, product builders, and innovators eager to bring AI into their work. By completing practical projects, you’ll gain the confidence and skills to design, prototype, and deploy AI apps that solve real problems and showcase your technical creativity.
  • Plan AI projects aligned with real-world needs.
  • Identify core OpenAI tools and best practices.
  • Practice building and deploying AI applications.
  • Create portfolio-ready projects to showcase skills.

Syllabus

Courses under this program:
Course 1: GPT Foundations: Building AI-Powered Apps
-Discover how to leverage the power of ChatGPT to create your own customized applications. Learn about large language models and prompting to bring your own chatbot to life.

Course 2: Getting Hands-On with GPT Models: Tips and Tricks
-Learn to enhance your productivity with advanced prompting techniques using ChatGPT. Master few-shot learning and chain of thought reasoning to efficiently tackle challenging tasks.

Course 3: Hands-On OpenAI API: Building a Real-World Solution
-Learn how to build an entire AI application that solves real-world problems using OpenAI APIs.

Course 4: Hands-On AI: Build an AI Chatbot with GPT-4o and Next.js
-Learn to build a ChatGPT-like application using Next.js and OpenAI GPT models with modern state management and best practices.

Course 5: Build a Document Search Assistant with Node and OpenAI's Assistants API
-Learn to build a smart document search assistant using OpenAI's Assistants API and Node—from setup to implementation.

Courses

Taught by

Denys Linkov, Rodrigo Díaz Concha, Alina Li Zhang, Fikayo Adepoju Oreoluwa and Ronnie Sheer

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