OpenAI Platform & API

OpenAI Academy aims to democratize AI knowledge through workshops, discussions, and digital content. It fosters a collaborative community where participants can learn about real-world AI applications, connect with peers and industry leaders, and stay ahead with the latest AI solutions from OpenAI experts.

Learn to use GPT, DALL-E, Whisper and other OpenAI models for real applications.

This course is designed to empower developers, this comprehensive guide provides a practical approach to integrating Langc Chain with OpenAI and effectively using Large Language Models (LL Ms) in Python.In the course's initial phase, you'll gain a robust understanding of what LangChain is, its functionalities and components, and how it synergizes with data sources and LL Ms. We'll briefly dive into understanding LL Ms, their architecture, training process, and various applications. We'll set up your environment with a hands-on installation guide and a 'Hello World' example using Google Colab.Subsequently, we'll explore the LangChain Models, covering different types such as LL Ms, Chat Models, and Embeddings. We'll guide you through loading the OpenAI Chat Model, connecting LangChain to Hugging Face Hub models, and leveraging OpenAI's Text Embeddings.The course advances to the essential aspect of Prompting & Parsing in LangChain, focusing on best practices, delimiters, structured formats, and effective use of examples and Chain of Though Reasoning (CoT).The following sections focus on the concepts of Memory, Chaining, and Indexes in LangChain, enabling you to handle complex interactions with ease. We will study how you can adjust the memory of a chatbot, the significance of Chaining, and the utility of Document Loaders & Vector Stores.Finally, you'll delve into the practical implementation of LangChain Agents, with a demonstration of a simple agent and a walkthrough of building an Arxiv Summarizer Agent.By the end of this course, you'll have become proficient in using LangChain with OpenAI LL Ms in Python, marking a significant leap in your developer journey. Ready to power up your LLM applications? Join us in this comprehensive course!

Preparado para um mergulho eletrizante no universo da tecnologia de linguagem? Prepare-se para entrar de cabeça no mundo maneiro do LangChain com "LangChain 101 para Iniciantes (OpenAI / ChatGPT / LLM Ops)". Aqui, você vai aprender a mandar bem usando o LangChain e Modelos de Linguagem de Grande Porte (LL Ms) para criar suas próprias aplicações em Python.O objetivo deste curso é moleza - te dar todas as ferramentas para começar sua aventura no LangChain. Vamos te mostrar como usar diferentes LL Ms dos gigantes do mercado, OpenAI e Hugging Face, e desvendar o truque de chamar prompts, criar templates e ligar tudo isso para montar um sistema interativo e firmeza.Mas calma que tem mais! Vamos nos aprofundar no mundo dos chatbots e descobrir como a memória funciona no LangChain. Pra fechar com chave de ouro, um tutorial detalhado sobre como aplicar esses LL Ms poderosos nos seus próprios documentos.Este curso não é só informativo — é diversão garantida. Usamos memes, exemplos do dia a dia e uma pegada descontraída para fazer desta jornada no mundo do LangChain algo super prazeroso.Dá um chega pra lá naqueles cursos chatos e longos que são puro blá-blá-blá. Este aqui é direto ao ponto, perfeito para desenvolvedores Python que querem um atalho para o mundo do LangChain e LL Ms. Sabemos que seu tempo é ouro, então condensamos tudo que é essencial em uma horinha top."LangChain 101 para Iniciantes" é o seu passaporte para entender e botar a mão na massa com o LangChain. Ao final deste curso, você não só vai entender tudinho sobre LangChain, mas também estará pronto para encarar seu próximo projeto com um arsenal novinho em folha.Não fica aí parado — bora criar o futuro juntos. Mergulhe nesse mundo incrível do LangChain e Modelos de Linguagem de Grande Porte e se divirta muito pelo caminho!

Artificial Intelligence is transforming the world — and AI agents are at the heart of that revolution. From virtual assistants and research bots to automated problem-solvers, agents are the next leap beyond simple chatbots. In this hands-on course, you’ll learn step-by-step how to build your own working AI agent using LangChain, Python, and the OpenAI API — no advanced technical experience required.We’ll start from the very beginning. You’ll understand what AI really means, how agents differ from chatbots, and where they’re being used in the real world. Then, you’ll dive into the practical side — setting up your Python environment, installing key tools, and connecting AP Is like OpenAI and SerpAPI to bring intelligence and search power to your creations.Once your setup is complete, we’ll explore the core concepts of LangChain — including chains, agents, prompts, and tools. You’ll learn how to create prompt templates, build your own tools, and finally, connect them all to create an AI agent that can think, search, and respond intelligently. By the end, you’ll not only understand how LangChain works, but also how to build, test, and customize your own AI-powered assistants for real-world use.Whether you’re an aspiring developer, a curious beginner, or an entrepreneur exploring the future of automation, this course gives you the practical foundation you need to start building with confidence.By completing this course, you’ll be able to:Understand the fundamentals of AI and LangChain Set up your development environment from scratch Build and test working AI agents using Python and OpenAI Extend your agents with real-world tools and AP Is Join today, and take your first step toward building intelligent AI agents that can reason, search, and act — all powered by LangChain.

Artificial Intelligence is transforming the world — and AI agents are at the heart of that revolution. From virtual assistants and research bots to automated problem-solvers, agents are the next leap beyond simple chatbots. In this hands-on course, you’ll learn step-by-step how to build your own working AI agent using LangChain, Python, and the OpenAI API — no advanced technical experience required.We’ll start from the very beginning. You’ll understand what AI really means, how agents differ from chatbots, and where they’re being used in the real world. Then, you’ll dive into the practical side — setting up your Python environment, installing key tools, and connecting AP Is like OpenAI and SerpAPI to bring intelligence and search power to your creations.Once your setup is complete, we’ll explore the core concepts of LangChain — including chains, agents, prompts, and tools. You’ll learn how to create prompt templates, build your own tools, and finally, connect them all to create an AI agent that can think, search, and respond intelligently. By the end, you’ll not only understand how LangChain works, but also how to build, test, and customize your own AI-powered assistants for real-world use.Whether you’re an aspiring developer, a curious beginner, or an entrepreneur exploring the future of automation, this course gives you the practical foundation you need to start building with confidence.By completing this course, you’ll be able to:Understand the fundamentals of AI and LangChain Set up your development environment from scratch Build and test working AI agents using Python and OpenAI Extend your agents with real-world tools and AP Is Join today, and take your first step toward building intelligent AI agents that can reason, search, and act — all powered by LangChain.

Welcome to this course, OpenAI Mastery: Prompt Engineering, ChatGPT, Dall-e, API etc Dive into the world of AI with our all-inclusive course bundle, expertly designed to guide you through the intricate landscape of OpenAI’s cutting-edge technologies. Whether you're a complete beginner or looking to sharpen your skills, this collection of courses is your gateway to mastering AI.What You Will Learn:OpenAI Essentials: Grasp the fundamentals of OpenAI, including prompt engineering, and gain the know-how to create your own OpenAI account. You'll understand the core business concepts that will set you apart in the AI industry.ChatGPT Mastery with Free Version: Navigate the functionalities of ChatGPT without a cost barrier. Learn to personalize settings, engineer prompts effectively, and explore the distinctions between the free and plus versions.Dall-e Mastery with AI Art Generation: Unleash your creative potential by generating stunning AI art. Get hands-on experience with Dall-e functions, understand the mechanics of prompts, and delve into the nuances of UI, inpainting, and outpainting techniques.OpenAI API Mastery: Play with Models to unlock the power of OpenAI AP Is. Build your own ChatGPT, sentiment analysis tools, image generation models, and even audio-to-text applications.ChatGPT Plus Mastery with Custom GP Ts: Go beyond the basics with custom GPT models. Learn to tailor ChatGPT to your needs, understand its API capabilities, and grasp the comprehensive concepts of API & Actions.Course Features:Step-by-step instructions on each topic.Real-world applications and examples.Access to a community of AI enthusiasts.Continuously updated content reflecting the latest AI trends.Enroll now to begin your journey i

UPDATES NOVEMBER 20252026 Version of the course released with all code up to date.OpenAI Responses Endpoint and GPT-5 implemented across the sections.New no-code RAG with Flowise.New Project with Streamlit.UPDATES JUNE 2025Launched 2 sections:&nbsp;Image Generation with OpenAI and Reasoning ModelsMCP is now live!UPDATES MAY 2025Launch of 2 new sections: RAG with OpenAI File Search and RAGAS Minor video remakes due to mistakes.UPDATES&nbsp;APRIL 2025:Remake of 3 sections: Retrieval Fundamentals, Generative Fundaments and Introduction to RAG Added Knowledge Graphs with Light RAGUPDATES DECEMBER&nbsp;2024:Fine Tuning OpenAI GPT-4o Python Crash Course + Self-assessmentUPDATES NOVEMBER&nbsp;2024:CrewAI and CrewAI Capstone Project launched The section on OpenAI API for Text and Images is live + OpenAI API Capstone ProjectUPDATES OCTOBER 2024:OpenAI Swarm is live Agentic RAG is live Multimodal RAG Project is live Unlock the Power of RAG, AI Agents, and Generative AI with Python and OpenAI in 2026!Welcome to "RAG, AI Agents, and Generative AI with Python and OpenAI 2026"—the ultimate course to master Retrieval-Augmented Generation (RAG), AI Agents, and Generative AI using Python and OpenAI's cutting-edge technologies. If you aspire to become a leader in artificial intelligence, machine learning, and natural language processing, this is the course you've been waiting for!<s

Artificial Intelligence is transforming the world — and AI agents are at the heart of that revolution. From virtual assistants and research bots to automated problem-solvers, agents are the next leap beyond simple chatbots. In this hands-on course, you’ll learn step-by-step how to build your own working AI agent using LangChain, Python, and the OpenAI API — no advanced technical experience required.We’ll start from the very beginning. You’ll understand what AI really means, how agents differ from chatbots, and where they’re being used in the real world. Then, you’ll dive into the practical side — setting up your Python environment, installing key tools, and connecting AP Is like OpenAI and SerpAPI to bring intelligence and search power to your creations.Once your setup is complete, we’ll explore the core concepts of LangChain — including chains, agents, prompts, and tools. You’ll learn how to create prompt templates, build your own tools, and finally, connect them all to create an AI agent that can think, search, and respond intelligently. By the end, you’ll not only understand how LangChain works, but also how to build, test, and customize your own AI-powered assistants for real-world use.Whether you’re an aspiring developer, a curious beginner, or an entrepreneur exploring the future of automation, this course gives you the practical foundation you need to start building with confidence.By completing this course, you’ll be able to: Understand the fundamentals of AI and LangChain Set up your development environment from scratch Build and test working AI agents using Python and OpenAI Extend your agents with real-world tools and AP Is Join today, and take your first step toward building intelligent AI agents that can reason, search, and act — all powered by LangChain.

Master LangChain, OpenAI, Llama, Deep Seek and Hugging Face. Learn to Create hands-on generative LLM-powered applications with LangChain. Create powerful web-based front-ends for your LLM Application using Streamlit.By the end of this course, you will have a solid understanding of the fundamentals of LangChain OpenAI, Llama, Deep Seek and Hugging Face. You'll also be able to create modern front-ends using Streamlit in Python.Dive into hands-on projects that will shape your expertise, including:Project 1: Create a Simple Chatbot with Llama 2 and LangChain Project 2: PDF Chat App (GUI) | ChatGPT for Your PDF File - Streamlit Application to chat with your PDF&nbsp;file using LangChain and OpenAI.Project 3: You Tube Script Writing App - Effortlessly create title and script for the You Tube video using LangChain and OpenAI Project 4:&nbsp; MCQ Quiz Creator App - Seamlessly create multiple-choice quizzes for your students using LangChain and OpenAI/ Hugging Face Project 5: Chat with Multiple PDF Documents | Streamlit Application- Chat with your PDF&nbsp;files using LangChain and OpenAI.Project 6: Support Chat Bot For Your Website - Helps your visitors/customers to find the relevant data or blog links that can be useful to them.Project 7: You Tube Video Summarizer - You Tube Video Summarizer, powered by the dynamic duo of LangChain and OpenAI! In this groundbreaking tool, we have harnessed the cutting-edge capabilities of language processing technology to transform the way you consume You Tube content.Project 8: Summarize PDF Using LangChain,&nbsp; OpenAI&nbsp; and Gradio:&nbsp; Summarize PDF files using LangChain and OpenAI&nbsp; and create a sharable web interface using Gradio Project 9: PrivateGPT- Chat with your Files Offline and FreeP

Welcome to the forefront of artificial intelligence with our groundbreaking course on Generative AI (GenAI), the OpenAI API, Deep Seek, and ChatGPT. With ChatGPT and Deep Seek, you'll learn how to build with the world's most advanced Large Language Models (LL Ms). This course is a must-have if you want to know how to use this cutting-edge technology for your business and work projects.This course contains 5 main sections:Basic API Usage: All the fundamentals: signup for an account, get your API key, set environment variables on Windows / Linux / Mac, using the API in Python, setup billing, understand the pricing model, and OpenAI's usage policies. Of note is the chatbot tutorial, which goes over how to incorporate chat history into the model so that ChatGPT "remembers" what it said to you previously. A customer service chatbot will serve as a running example throughout this course.Prompt Engineering: ChatGPT Prompt Engineering for Developers - All about how to make ChatGPT do what you want it to do. We'll explore various example use-cases, such as getting ChatGPT to output structured data (JSON, tables), sentiment analysis, language translation, creative writing, text summarization, and question-answering. We'll explore techniques like chain-of-thought (CoT) prompting, and we'll even look at how to use ChatGPT to build a stock trading system!Retrieval Augmented Generation (RAG): Learn how to incorporate external data into LL Ms. This powerful technique helps mitigate a common problem called "hallucination". It's critical if you have proprietary data (like product info for your company) that your LLM doesn't know about. You'll learn how semantic search / similarity search works, and how to implement it using FAISS (Facebook AI Similarity Search library). Learn how this will allow you to "chat with your data".Fine-Tuning:</stron

Artificial Intelligence is transforming the world — and AI agents are at the heart of that revolution. From virtual assistants and research bots to automated problem-solvers, agents are the next leap beyond simple chatbots. In this hands-on course, you’ll learn step-by-step how to build your own working AI agent using LangChain, Python, and the OpenAI API — no advanced technical experience required.We’ll start from the very beginning. You’ll understand what AI really means, how agents differ from chatbots, and where they’re being used in the real world. Then, you’ll dive into the practical side — setting up your Python environment, installing key tools, and connecting AP Is like OpenAI and SerpAPI to bring intelligence and search power to your creations.Once your setup is complete, we’ll explore the core concepts of LangChain — including chains, agents, prompts, and tools. You’ll learn how to create prompt templates, build your own tools, and finally, connect them all to create an AI agent that can think, search, and respond intelligently. By the end, you’ll not only understand how LangChain works, but also how to build, test, and customize your own AI-powered assistants for real-world use.Whether you’re an aspiring developer, a curious beginner, or an entrepreneur exploring the future of automation, this course gives you the practical foundation you need to start building with confidence.By completing this course, you’ll be able to: Understand the fundamentals of AI and LangChain Set up your development environment from scratch Build and test working AI agents using Python and OpenAI Extend your agents with real-world tools and AP Is Join today, and take your first step toward building intelligent AI agents that can reason, search, and act — all powered by LangChain.

Welcome to “Build Powerful AI Agents: From LangChain to Local LL Ms”, your all-in-one course to become a complete AI Agent Engineer. Whether you’re a developer, data scientist, or AI enthusiast, this course will guide you step-by-step through building intelligent, multimodal, and voice-based AI systems — from the cloud (OpenAI) to local environments (Ollama &amp; MCP).By the end of this course, you’ll gain hands-on experience developing smart, interactive, and deployable AI agents that can think, talk, reason, and adapt — the same way top AI startups do it today.What You’ll Learn Understand how LangChain Agents work and how to integrate them with OpenAI AP Is.Build Voice-based Emotion and Wellness Companions using Whisper &amp; TTS.Create Virtual AI Talking Agents and Copilot Systems that perform autonomous tasks.Implement RAG-powered assistants using LLaMA 3.1 and Pinecone.Learn the basics of PyTorch for deep learning and model training.Explore Hugging Face and GPT models for NLP and dataset customization.Understand MCP (Model Context Protocol) and use FastMCP to connect LL Ms with databases.Master Fine-Tuning techniques and understand the difference between Fine-Tuning vs RAG.Deploy Local LL Ms (like Gemma and Qwen) using Google Colab + Ngrok for free hosting.Hands-on Labs and Implementations Enroll now and become the expert of Generative AI.