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AI App Development: Streamlit, OpenAI API & RAG Projects · LearnSpace
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AI App Development: Streamlit, OpenAI API & RAG Projects

Курс от Board Infinity
Средний≈ 8.7 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This fully hands-on course teaches learners to build production-quality AI-powered web applications by combining Streamlit's rapid UI framework with the full power of the OpenAI API. Using a single progressively built project — an AI-Powered Smart Travel Planner & Itinerary Generator — learners will master every major OpenAI capability: Chat Completions with streaming, Vision API for image analysis, Structured Outputs for reliable JSON, Function Calling for tool use, Embeddings for semantic search, and the Agents SDK for autonomous workflows. Every feature is built as a new page or component in the Streamlit app, so learners see their project grow from a simple chatbot to a full multi-page AI platform with maps, itinerary exports, and real-time travel intelligence. By course end, learners will have a deployed, portfolio-ready AI application and the skills to prototype any AI-powered product in hours. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.

Навыки, которые вы освоите

Interactive Data VisualizationApplication DeploymentRetrieval-Augmented GenerationPrompt EngineeringJSONCloud DeploymentAI IntegrationsAgentic WorkflowsAI OrchestrationEmbeddingsPython ProgrammingAI WorkflowsGenerative AI AgentsTool CallingMultimodal PromptsLarge Language ModelingImage AnalysisOpenAILLM Application

Программа курса

4 модулей · 32 учебных материалов

01Streamlit & OpenAI API Foundations8 материалов

Streamlit & OpenAI API Foundations

Your First Streamlit App in 10 MinutesВидеоCore Widgets & LayoutsВидеоSession State & Multi-Page AppsВидеоStreamlit & OpenAI API FoundationsЗадание

OpenAI API Fundamentals

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Board Infinity

Instructor

AI App Development: Streamlit, OpenAI API & RAG Projects
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Обучение на Coursera

≈ 8.7 ч

4 модулей

Язык: Английский

Часть программы вашего университета
OpenAI API Setup & First API CallВидео
The Messages Array & Prompt EngineeringВидео
Secrets Management & Project ArchitectureВидео
Function callingЗадание
02Vision, Structured Outputs & Smart UI8 материалов

OpenAI Vision API - Image Intelligence

How Vision API WorksВидеоBuilding the Destination Photo AnalyzerВидеоMulti-Image Analysis & Travel GalleryВидеоOpenAI Vision API - Image IntelligenceЗадание

Structured Outputs - Reliable JSON from GPT

Why Structured Outputs MatterВидеоGenerating Structured ItinerariesВидеоRendering Structured Data in StreamlitВидеоProduction polishЗадание
03Function Calling, RAG & AI Agents8 материалов

Function Calling - Connecting GPT to Live Data

How Function Calling WorksВидеоBuilding Travel Tool FunctionsВидеоThe Function Calling Loop in StreamlitВидеоFunction Calling - Connecting GPT to Live DataЗадание

RAG - Knowledge-Grounded Travel Advice

OpenAI Embeddings & Vector SearchВидеоRAG-Powered Travel AssistantВидеоBuilding the Vector Database with ChromaDBВидеоstreamlit and open api foundationЗадание
04Production Polish & Deployment8 материалов

Performance & UX Optimization

Caching Strategies for AI AppsВидеоAsync Patterns & Error HandlingВидеоPolishing the UI - Themes & Custom ComponentsВидеоPerformance & UX OptimizationЗадание

Authentication & Personalization

User Authentication in StreamlitВидеоPersonalized Travel PreferencesВидеоConversation Memory & Trip HistoryВидеоvision structure output and smart uiЗадание