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Integrating AI into Full-stack Applications

5 Courses
2 Labs
7 Hours
Skill IQ

This learning path is designed for developers who want to integrate AI capabilities into their full-stack applications. You will learn to build intelligent user interfaces with React and AI models, create scalable AI-powered APIs with Python, and ultimately combine these skills to develop comprehensive full-stack AI applications.

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Content in this path

AI in the Frontend: Intelligent Interfaces

Explore how to build dynamic, user-focused AI experiences using React and data visualizations.

Course

AI-powered React Applications: Building Intelligent Interfaces

  • by Peter Kellner
  • 1h 10m
  • Feb 13, 2025
Course

AI-powered React Applications: Creating Data Visualizations

  • by Brian Letort
  • 52m
  • Aug 05, 2025

Backend APIs for Generative AI

Learn to build, extend, and scale backend APIs for AI models using Python and modern frameworks.

Course

AI-powered Python Applications: Using Agentic Frameworks

  • by Brian Letort
  • 58m
  • Jan 27, 2025
Course

AI-powered Python Applications: Building APIs for Generative AI Models

  • by Xavier Morera
  • 1h 32m
  • Jan 29, 2025
Course

AI-powered Python Applications: Advanced API Development for Scaling Generative AI Models

  • by Eman Hassan
  • 54m
  • May 01, 2025
Lab

Guided: Building a Full-stack AI-powered Application with React and Python

  • by Jaecee Naylor
  • 40m
  • Aug 19, 2025
Lab

Guided: Building an AI-powered API with Python and LangChain

  • by Jeff Hopper
  • 25m
  • Dec 10, 2024
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What You'll Learn
  • Integrate generative AI APIs into React applications for text, images, and other forms of data.
  • Build AI-powered React components such as auto-completion forms, content suggestions, and chatbots.
  • Implement AI feedback loops to handle asynchronous AI tasks and improve UI/UX.
  • Develop intelligent, self-operating AI agents in Python using frameworks like LangChain, CrewAI, and Microsoft's AutoGen.
  • Design, build, and deploy scalable backend APIs on top of Generative AI models using Python.
  • Optimize the performance and scalability of Python-powered AI agents and APIs.
  • Build full-stack AI-powered applications by combining AI models in Python with a React frontend.
  • Deploy full-stack AI applications to cloud platforms, optimizing for performance and scalability.
Prerequisites
  • Familiarity with JavaScript and React.
  • Proficiency in Python and REST API development.
  • Experience with Flask or FastAPI for backend development is helpful.
  • Knowledge of Generative AI and understanding of data visualization (including chart types, axes, and data scales) are also beneficial.
Related topics
  • Agents
  • React
  • Python
  • LangChain
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Learn with the best

Peter Kellner
Peter Kellner
Peter is an independent software consultant, specializing in .NET development from 1985 through 2001, as well as an eleven time Microsoft MVP. He was founder and president of Tufden Inc, where he successfully delivered systems for clinic scheduling, insurance company management and medical claim processing. His solutions included delivering a turnkey medical office management system to over 500 customers nationwide. His passion for the computer dates back to elementary school when he joined his ...
Brian Letort
Brian Letort
Dr. Daniel “Brian” Letort is a 24+ year veteran of Information Technology. During a 21-year tenure at Northrop Grumman, Brian held various roles across software engineering, systems engineering, Chief Applications Architect, Technical Fellow & Chief Data Scientist, and NG Fellow & Chief Enterprise Architect. In 2022, Brian joined Digital Realty as the Chief Architect - Product and Artificial Intelligence and now serves as the Head of the Corporate Data Office and Platform AI. Aside from work...
Xavier Morera
Xavier Morera
Xavier Morera is driven by one passion: taking on the challenge of understanding complex topics and sharing that knowledge with others. He’s currently focused on the transformative fields of AI, machine learning, generative AI, search, and big data. As an entrepreneur, project manager, technical author, and trainer, he brings a diverse set of skills and deep expertise to every project he takes on. He holds multiple certifications with Cloudera, Microsoft, and the Scrum Alliance and has been rec...
Eman Hassan
Eman Hassan
As a seasoned engineer with over 12 years of experience, I am deeply committed to mentorship, sharing my wealth of experience, and staying at the forefront of cutting-edge technologies. I bring a unique blend of theoretical knowledge and practical skills to the table. My expertise lies in guiding and mentoring aspiring developers through challenging projects across the entire lifecycle. My technical proficiency spans full stack development, software architecture, cloud computing, DevOps, and a...
Jaecee Naylor
Jaecee Naylor
Jaecee is a Contract Author at Pluralsight, where she develops hands-on lab content that helps learners build real-world skills. She holds a Master's in Data Management and Analysis and a Bachelor's in Computer Science from the University of Utah. Jaecee brings a strong background in software development, with experience across a variety of tech stacks. She’s worked at organizations like Intermountain Healthcare, Goldman Sachs, Microsoft, and Kantata where she builds feature-rich applications us...
Jeff Hopper
Jeff Hopper
Jeff Hopper is a technologist with over 20 years of experience across several development stacks and business domains. He has enjoyed many of those years focusing on the .Net stack for both web and mobile development. His desire is to help people achieve more through technology in order to free up more time to be with family and friends. He and his lovely wife are currently enjoying spoiling their first grandson.

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