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Build AI Apps with OpenAI, LangChain & React

Name: Build AI Apps with OpenAI, LangChain &amp; React
Author: Baturi

Build AI Apps with OpenAI, LangChain & React

Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With Build AI Apps with OpenAI, LangChain & React, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Published 7/2026
Created by SkillBakery Studio
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 94 Lectures ( 7h 59m ) | Size: 5.9 GB
Build production-ready AI apps with OpenAI, LangChain, React, RAG, AI Agents, CI/CD, and real-world projects.

What you'll learn

⚡ Understand how Large Language Models (LLMs) and modern AI applications work.
⚡ Master Prompt Engineering techniques for generating reliable AI responses.
⚡ Integrate OpenAI APIs into real-world applications.
⚡ Build AI-powered applications using LangChain and React.
⚡ Create streaming chat applications with real-time AI responses.
⚡ Develop AI Agents capable of tool calling and multi-step reasoning.
⚡ Build Retrieval-Augmented Generation (RAG) applications.
⚡ Protect AI systems against prompt injection and security risks.
⚡ Optimize AI applications for performance, scalability, and cost.
⚡ Monitor AI quality using logging, analytics, and feedback loops.
⚡ Implement model fallback strategies and prompt A/B testing.
⚡ Build production-ready AI APIs using modern software architecture.
⚡ Automate testing and deployment using GitHub Actions and CI/CD.
⚡ Deploy and maintain AI applications following industry best practices.

Requirements

❗ Basic knowledge of jаvascript is recommended.
❗ Familiarity with React will be helpful but not mandatory.
❗ Basic understanding of APIs and HTTP requests.
❗ A computer running Windows, macOS, or Linux.
❗ Node.js and Visual Studio Code installed.
❗ An OpenAI API key (instructions provided in the course).
❗ A willingness to learn by building real-world AI applications.
❗ No prior experience with LangChain, OpenAI APIs, or AI development is required.

Description

AI Engineering with OpenAI, LangChain & React
Artificial Intelligence is transforming the way modern applications are built. This course is designed to take you beyond simple chatbot examples and teach you how to buildproduction-ready AI applications using today's most powerful technologies.
Whether you're a software developer, full-stack engineer, or AI enthusiast, this hands-on course will guide you through every stage of AI application development—from understanding Large Language Models (LLMs) to deploying scalable AI systems in production.
Throughout the course, you'll build real-world projects while learning how to integrate OpenAI, LangChain, and React to create intelligent applications with streaming responses, AI agents, tool calling, Retrieval-Augmented Generation (RAG), security, monitoring, performance optimization, and deployment best practices.
What you'll build
✨ AI-powered chat applications
✨ Streaming AI interfaces
✨ AI agents capable of using external tools
✨ Retrieval-Augmented Generation (RAG) applications
✨ Production-ready AI APIs
✨ React-based AI frontends
✨ AI monitoring and analytics dashboards
✨ Secure and scalable AI services
Topics Covered
✨ Prompt Engineering
✨ OpenAI API Integration
✨ LangChain Fundamentals
✨ Streaming AI Responses
✨ React Chat Applications
✨ Function Calling & Tool Calling
✨ AI Agents & ReAct Pattern
✨ Retrieval-Augmented Generation (RAG)
✨ Prompt Injection Protection
✨ AI Security & Guardrails
✨ Token Optimization
✨ Performance & Cost Monitoring
✨ Async & Parallel Processing
✨ AI Observability
✨ Model Fallback Strategies
✨ Prompt A/B Testing
✨ GitHub Actions & CI/CD
✨ Production Deployment Best Practices
By the end of this course, you'll have the skills and confidence to design, develop, deploy, monitor, and maintain AI-powered applications using modern engineering practices.
If your goal is to become an AI Engineer capable of building production-ready applications—not just prototypes—this course is for you.

Who this course is for

⭐ Software Developers looking to add AI skills to their toolkit.
⭐ Frontend and React Developers who want to build AI-powered user interfaces.
⭐ Backend Developers integrating AI into web applications.
⭐ Full-Stack Developers building intelligent applications.
⭐ Engineers transitioning into AI Engineering roles.
⭐ Students interested in Generative AI and Large Language Models.
⭐ Technical Architects exploring AI application design.
⭐ Anyone who wants to build production-ready AI applications using modern tools and best practices.

Homepage

https://www.udemy.com/course/build-ai-apps-with-openai-langchain-react

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