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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.

Content in this path

Backend APIs for Generative AI

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

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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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