Build AI Apps with OpenAI, LangChain & React
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 JavaScript 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 servicesTopics 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 PracticesBy 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
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