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- Core Tech
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
AI in the Frontend: Intelligent Interfaces
Explore how to build dynamic, user-focused AI experiences using React and data visualizations.
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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