Build Your Own AI Agent in 30 Minutes (Antigravity Hands-on)

We will directly implement an AI web service integrated with the OpenAI API using only HTML, CSS, and JavaScript. By utilizing Netlify Functions, we will securely protect the API key and proceed with actual deployment using a static frontend + serverless backend architecture. This is not just a simple demo; we will complete a monetizable MVP from start to finish through a live IDE session.

This is a free 1-hour introductory lecture to get you started with just the OpenAI API. You will quickly master core concepts including the Responses API, JSON response handling, validation, idempotency, and logs, while learning a practical backend workflow that allows for immediate testing without the need for external service keys.

In this lecture, we will explore the practical structure of how AI agents open real browsers to research and make decisions on the web using the built-in Browser MCP in Antigravity. Rather than just simple usage, we focus on understanding the execution flow from Agent → Tool → Browser and the MCP-based expansion architecture. In 30 minutes, we will move beyond the concept of browser automation and structurally organize "how AI uses the web as a tool." https://antigravity.google/download

This course is designed for those who use AI but are confused about how much they can trust it. It covers how to use AI in your work or creative process without overdoing it, ensuring it provides actual value. Rather than requiring professional development knowledge or complex tools, it focuses on how anyone can effectively integrate AI into their own workflow. Instead of teaching complex prompt engineering, the course focuses on the mindset of **knowing when to use AI and when it's better not to**, as well as **how to verify and refine AI outputs** rather than trusting them blindly. Through this course, you will establish criteria for using AI not as an automation tool that replaces everything, but as a **practical partner** that helps organize your thoughts and assists in your work.

This course is a hands-on program for implementing generative AI applications based on text, images, voice, and documents using the OpenAI API. Starting from setting up the Anaconda and Jupyter Notebook environment, it covers essential development environment configurations for practical work, including API Key management and understanding costs and tokens. Based on the latest Responses API, you'll implement text generation, summarization, classification, Vision (image understanding), voice processing, and PDF input processing, while practicing core features used directly in the field step-by-step, such as Function Calling, Structured Outputs (Pydantic), Embedding, and RAG (File Search). Additionally, including Web Search, Code Interpreter, Streaming, Background tasks, and Conversation State management, you'll learn how to expand beyond simple API calls to 'intelligent AI services'. Finally, the goal is to implement agent-based AI systems that autonomously select and execute tools using the Agents SDK and MCP (Model Context Protocol), while learning the structure and design perspectives necessary for actual service development.

AI writes on my Slack and Notion for me? Work smarter with MCP that surpasses the limitations of existing AI!

It’s okay if you don’t know how to code. This course focuses on the experience of using AI to build an ad-revenue-generating Android app from scratch and successfully launching it in just one day. Many people stop at these stages: “I built the app, but how do I monetize it?” “I tried adding ads but got stuck on AdMob, policies, and reviews.” “I gave up right before launch because of the privacy policy.” In this course, we will navigate through every "drop-off point": 👉 Idea → App Creation → Ad Integration → Store Launch Essentials → Actual Deployment. We let the AI do the work, and we make the decisions. The goal is to complete an app with a "functioning revenue structure" within a single day.

All students who submit missions for the "Silicon Valley Internship & 30 Big Tech System Design & Open Source Contribution Course" (designed to keep you indispensable in the AI era) can apply for internships at AI startups in Palo Alto, USA. Applicants will receive a document screening waiver and a guaranteed interview opportunity. This course involves designing and scaling 30 real-world system designs based on Big Tech cases such as Netflix, Tesla, Meta, and Tinder. Finally, you will design your own service from architecture to DB and scaling, and complete your portfolio and resume by contributing to an active open-source AI coding agent project that has achieved 1.8k weekly downloads.

In this lecture, we will explore the practical structure of how AI agents open real browsers to research and make decisions on the web using the built-in Browser MCP in Antigravity. Rather than just simple usage, we focus on understanding the execution flow from Agent → Tool → Browser and the MCP-based expansion architecture. In 30 minutes, we will move beyond the concept of browser automation and structurally organize "how AI uses the web as a tool." https://antigravity.google/download

Are you confused about which technology trends really matter among the flood of information? We've analyzed global reports from Gartner, Microsoft, and others to clearly explain 10 key technologies (multi-agent systems, physical AI, AI security, etc.) that will define 2026.

<This course is part of the 'Wrtn AI Literacy Voucher Program', a collaboration between Inflearn and Wrtn, and is available completely free for elementary, middle, and high school students who are in the AI vulnerable demographic.> From the fundamentals of artificial intelligence to generative AI that creates text, images, and videos! Artificial intelligence is already being used everywhere in our daily lives. This course is designed to help you easily understand what AI is, how it learns, and how it works. Without complicated formulas, just follow along like listening to a story and you'll naturally become friends with artificial intelligence!

This course is part of the 'Wrtn AI Literacy Voucher Program', a collaboration between Inflearn and Wrtn, and is available completely free for small business owners who are vulnerable to AI adoption. Are you busy running your store all day while also handling everything from Naver review responses to Instagram posts and marketing? This course is an introductory AI literacy program designed exclusively for small business owners to help AI share the burden of "marketing done by the owner themselves." Using generative AI and image, video, and no-code tools, you'll learn to handle everything from posters, menu boards, Instagram content, review responses, to DM management all at once. Without difficult coding, you'll create automated systems for reviews, trial groups, and DM responses using Google Sheets and automation tools (Make, Manychat, etc.)!

You can implement hands-on practice of infinitely generating cryptocurrency trading signals automatically using ChatGPT and Python, and backtesting and validating them. Additionally, you can learn how to combine all the strategies automatically generated by AI into a single strategy and apply it to actual trading.

AI proficiency determines your salary. Leave those tedious repetitive tasks to AI 'Almost Everything About Work Automation' teaches you how to create automation systems that handle your work with just a few clicks, no coding knowledge required. You'll be freed from boring document work and data organization, and transform into an 'AI work expert' who stays ahead of others.

Innovation in Work Efficiency and Creativity – Agentic AI AI is now evolving beyond simple automation into a new stage where it can judge and execute on its own. Agentic AI is at the center of this change, serving as a core technology that helps businesses and organizations operate smarter. In this course, we have organized the content clearly and simply so you can understand how Agentic AI connects decision-making with execution and how it can be applied to practical work. Discover the essential knowledge for every professional preparing for the future right now.

Let's develop the ability to find rational decision-making models based on mathematical thinking by understanding various elements of AI and data, and solving real-world problems using ChatGPT and no-code programming!

Learn the core techniques of 'Prompt Engineering' to get exactly the answers you want from AI. From a complete beginner's first steps to expert practical applications, maximize your AI utilization skills!

"Beyond Data Analysis: From Predictive Model Design to Optimization (29 Lectures in Total)" Have you finished your data analysis but feel stuck when it actually comes to building a model? We help you fully master not just how to call libraries, but the working principles of each algorithm and optimal model validation strategies.

How to Build an Efficient Startup Workflow System with Just Notion 🧑🏻‍💻 (Practical Workflow Templates Provided by Practitioners)

"AI will not replace people. People who master AI will replace those who rely on it." In the era of AI, where creating results has become easier than ever, human thinking and problem-solving skills are becoming even more critical. Jae-sung Kim, a former McKinsey consultant, will guide you step-by-step through advanced problem-solving skills using AI, powerful research strategies, and persuasion techniques to turn your results into reality.

This course covers the entire process of designing and implementing generative AI services centered on LangChain 1.0 and LangGraph through step-by-step hands-on practice. Beyond simple LLM calls, you'll directly implement operational AI system architectures that include agent-based architecture, state management, memory, streaming, middleware, and Human-in-the-Loop. Through hands-on practice with document/PDF/web data-based RAG systems, SQL Agent (Chinook DB), tool-calling-based Agents, Supervisor pattern multi-agents, and state machine-based workflows using LangGraph Graph API, you'll build reusable agent pipelines that can be immediately applied in real-world scenarios. Additionally, through structured output (Pydantic-based), agent middleware (Summarization, HITL, Retry, PII protection), and token/step-by-step streaming, you'll complete generative AI applications with the stability, scalability, and controllability required in actual services. 👉 For those who want to accurately understand the internal structure and execution flow of LangChain/LangGraph 👉 For those who want to implement RAG·Agent as a real service structure, not just a "demo" 👉 This is the optimal course for those who need a realistic practical roadmap covering state-based agents, SQL·document automation, and multi-agent orchestration.

Automate YouTube Shorts creation with AI!! Learn how to automatically create YouTube Shorts using n8n from scratch. We will personally build a workflow that handles everything at once: Text → Image/Music → Video Creation → Uploading. Practice includes distinguishing between test/production modes and tips for saving costs. By the end of the lecture, you will complete 3 automation templates that can be used immediately. We will learn step-by-step, starting from node placement, so you can follow along even without coding knowledge. Join us in automating AI YouTube Shorts production!

You can learn the core concepts of complex Next.js in a short time. We'll teach you only the essential practical knowledge for those learning Next.js for the first time. Captain Pangyo's new Next.js course, who has been conducting framework courses for 8 years. You can learn the coding and learning methods of "Frontend Developers in the AI Era"! 😊

This course is a specialized program that covers practical application strategies for utilizing artificial intelligence (AI) in the construction and civil engineering fields. In the construction industry where digital transformation is accelerating, AI is driving innovation across design, construction, safety, and quality management. This course focuses on learning practical application cases that can be utilized in actual field sites, including smart construction, digital twins, AI-based equipment control, safety monitoring, and quality verification.