Hardware Full-Stack Full-Product Maker Course with AI Agents

Everything you need to know about the basics and practical application of Python Django web development, only from Silicon Valley software engineers! Don't miss out on the opportunity to learn web programming using the Python-based Django framework!. To make it easy for even beginners to start web programming, you can also learn HTML and Bootstrap, so don't miss out on this great opportunity!

Agent concepts and practice all at once?! A seamless, integrated course completed with OpenClaw. (Mac recommended)

Using ChatGPT is completely different from developing an actual generative AI service. This is because you must master everything from API calls to conversation state management, structured outputs, function calling, document-based RAG, MCP integration, and AI agent implementation. Based on extensive experience in data analysis and AI instruction, this course explains complex concepts through Python-centered practice. You will learn step-by-step—from the principles of generative AI to the OpenAI Responses API, multimodal features, File Search-based RAG, external tool integration, and the Agents SDK—to complete a fully functional AI application.

Everyone says agents are the trend, but why does your work stay the same? Have you been blocked by the "alien language" of APIs, stuck at tool installation, or found that what you learned doesn't translate to actual work? This integrated course connects the entire process into "one single path"—from the principles of API and communication structures to creating your own agent through Vibe Coding, and automating practical tasks like reports, Excel, and content with Claude Code. Whether you start from the basics or aim for professional application, you will complete the journey without interruption. (Windows recommended)

Hashing, salting, JWT, symmetric and asymmetric keys, and even HTTPS and TLS. The backbone of security that we use every day yet always found vague and unsettling. If we have to face the countless neglected threats and technical debt someday, let’s properly tackle them once and for all this time.

In an era when AI writes code, developers need the ability to determine why that code becomes slow and where it can go wrong. From the basics of CPUs and threads to the principles behind running multiple tasks simultaneously, you’ll build your understanding step by step through hands-on exercises, detailed notes, and simulations. Based on this foundation, you’ll learn to identify the causes of performance problems and develop the fundamentals for designing fast, reliable systems.

The goal is to master the complex GPT API and Python in the easiest way possible through hands-on practice. You will develop a YouTube video summarization AI using the latest ChatGPT API and implement it as a web application using Streamlit.

"Are you still studying with coding books?" A course, rated 5.0/5.0 by MBA and business undergrads at a London management university. You can take AI data analysis lectures from home. Even for humanities-background non-majors: practical data analysis skills immediately usable in the field, plus a data analysis portfolio for job search completion. I am a British Professor (British Professor) teaching data analysis and project classes with ChatGPT, no coding knowledge required.

This is a practical course on 'AI-based Circuit Design/Verification Automation' as required by professionals at Samsung Electronics and SK Hynix. Master the skills for LDO IP design and verification automation based on TSMC 180nm PDK, AI-based AXI-Lite RTL implementation, and Python/TCL/Batch script regression automation.

This course conducts hands-on practice related to Diffusion models among generative artificial intelligence models. By reading and implementing the prompt-to-prompt paper, which is a representative Diffusion model application paper, we expect to cultivate the ability to understand the latest artificial intelligence papers.

If you're preparing for a semiconductor (CHIP) circuit design role at Samsung Electronics, SK Hynix, LX Semicon, Hyundai Mobis, or a fabless company, you absolutely need to know 'this'!

Learn deep learning through PyTorch. Ultimately, the course covers image classification.

🔥 Vibe Coding with Streamlit 🔥 Real-time coding experience where you can instantly create your own web service with just one line of code! Visual-focused, hands-on lectures tailored to MZ sensibilities - no complex backend knowledge required. Learn the basics of Streamlit and awaken your development instincts by directly implementing practical apps. Complete your own "personal service" with code in a vibe way right now 😎💻

--- Learning a technology means reclaiming the choices in your own life --- You may have connected an ESP32 development board and sensors before, but the process of developing a jumper-wire experiment into a complete device can feel daunting. There is a great deal of information online about circuit design, PCB fabrication, sensor control, and BLE and Wi-Fi communication. However, connecting this scattered information and completing a board that actually works requires a great deal of trial and error. In this course, you will design and build an ESP32-based sensor board yourself. You will configure the power and firmware download circuits, connect temperature and humidity and light sensors, design a PCB with KiCad, and order it for fabrication. Once the board is complete, you will upload firmware to it and transmit sensor data externally via BLE and Wi-Fi. By the end of the course, you will be able to go beyond simply assembling development boards and sensor modules: you will understand and be able to modify circuits and PCBs to suit your own purposes. The project completed in the course can be reused as a starting point for new projects such as environmental monitoring devices, smart home devices, educational kits, and IoT prototypes. Even in an era when generative AI can rapidly create digital content, physical information such as temperature, humidity, light, and movement in the real world can only be obtained through sensors and hardware. The ability to collect data with a device you built yourself and connect it to a network gives you the power to turn ideas into real-world systems. This course will be helpful for: * Those who have used Arduino or ESP32 development boards but are new to PCB design * Those who want to turn a sensor project made with jumper wires into a single complete board * Those who want to learn KiCad by following an actual ESP32 project * Those who want to build a device that collects sensor data and transmits it via BLE and Wi-Fi * Makers and educators developing environmental monitoring, smart home, or educational hardware * Aspiring entrepreneurs preparing their own IoT products or prototypes * Developers and content creators who want to analyze or process data collected from the real world or use it with AI models Move from being someone who uses development boards to someone who designs their own boards. This course does not merely teach you how to use sensors. It is a course where you experience the entire process of turning an idea into a circuit, turning the circuit into a PCB, and connecting the completed hardware to a network.

When you think of IoT (Internet of Things), the first thing that comes to mind is Raspberry Pi. We will cover everything from the basic installation process of Raspberry Pi to sensor control, building and utilizing various servers, and cloud connection.

This course aims to understand IoT concepts and develop practical skills through hardware construction and coding using Arduino and Micro:bit.

After using it for 14 days starting immediately upon release, here are the reasons why I recommend Claude Code (AI Coding) to everyone—from job seekers to industry professionals—as something they can apply right away.

This is a practical course for students and job seekers who want to become embedded IoT developers. Through a Smart Lock project based on Arduino IoT Cloud, you will directly implement sensor control, RFID authentication, WiFi communication, cloud dashboards, OTA, and notification functions, experiencing the latest Edge IoT development trends all at once.

If you feel lost about what to learn in an era where AI writes code, you can find clear answers in the principles of UNIX and the kernel—the unchanging essence of systems. Through a practical project that integrates Node.js with a C language engine (FFmpeg), this course delivers the perspective of the top 1% of architects who command entire systems without being swayed by technology trends.

This is a hands-on course where you'll build an AI-based autonomous driving car using Raspberry Pi and various sensors.