Generate Unlimited Crypto Trading Signals with ChatGPT AI Quant Bot

I want to create an algorithm trading bot that makes unlimited money and run it automatically. Where should I start?

What if ChatGPT were embedded within your own application? In this lecture, we will develop various programs using the ChatGPT API. We will cover all processes in detail, from basic API usage to program creation and deployment.

Apply the latest trends of Generative AI directly to your work! The bible of Prompt Engineering lectures, packed with essentials

AI Work Automation + Side Income Generation with Just One Click!!! Make, the ultimate work automation tool - have you been hesitating to start due to its complex settings and features? Build the automation you've been dreaming of with step-by-step lectures that even beginners can easily follow.

These days, it's become so famous that you can't afford not to know about it - Nano Banana? Gemini 3.0? In this course, you can learn to handle everything with the Gemini API.

This course teaches the process of [idea generation - data collection - verification through backtesting] for developing a Bitcoin cryptocurrency coin bot that can generate automatic profits, as well as the principles of the AIS1, AIS2 investment strategy developed by the instructor, stock selection and buying and selling points and backtesting, and the source code for bot execution.

This lecture explains financial statements so that they can be easily used for stock investment.

Create a program using the GPT API and even generate images and videos!

Customized One-on-One Python Coding Tutoring from ChatGPT! Develop your ability to read and write code, your coding literacy skills!

# Silicon Valley Internship That Won't Get Cut Even in the AI Era & Complete Course on 30 Big Tech System Designs & Open Source Practical Contributions All students who submit course missions can apply for an AI startup internship in Palo Alto, USA, with exemption from document screening and guaranteed interview opportunities. This course involves designing and scaling 30 real-world system designs based on big tech cases including Netflix, Tesla, Meta, and Tinder. Finally, you'll design your own service from architecture → DB → scaling, contribute to an actively operating open source AI coding agent project (achieving 1.8k downloads per week) to complete your portfolio, and finalize your resume.

This course covers data analysis using ChatGPT and Pandas utilization. Get a preview of the changed future ChatGPT will create.

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"! 😊

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.

Do you still code directly these days? Now is the era where even vibe coding is too much hassle! Become an AI automation expert with n8n without coding. A practical automation workflow design guide you can apply immediately at work Action-oriented automation strategies that maximize work efficiency. Build intuitive workflows with n8n and experience workplace innovation

During the Gold Rush, it was said that it was easier to become rich by selling gold mining tools than by mining gold yourself. How about selling programs in the ChatGPT Age of Exploration?

This course is a practical pre-training program designed to help you quickly complete the core technologies needed for **smart mirror** production in the form of "pre-missions." Rather than simple feature explanations, it aims to reach a level where you can immediately create an integrated demo (PoC) in the field. The course requires completion of the following 4 components: LLM API-based conversational response module Including role separation (system/user), conversation history maintenance, retry/timeout, and log handling, you'll learn patterns for creating short, card-style summary responses suitable for smart mirrors. Face recognition + filter application with MediaPipe FaceMesh Extract facial landmark coordinates and implement a PoC that tracks visual filters like sunglasses/masks/stickers in real-time. Raspberry Pi ↔ Arduino serial communication (Python) Transmit Arduino sensor values via serial and perform reception, parsing, and error handling on Raspberry Pi using Python (pyserial) to first complete the system backbone of "sensor → Pi → (UI/storage)" flow. Smart mirror frame/hardware 3D modeling Considering display, Pi, power supply, cables/heat dissipation, complete an assemblable frame (front/back, brackets/screw holes, etc.) as STEP/STL deliverables. Additionally, optional sections allow expansion based on team capabilities, connecting step-by-step: Weather data input on Pi, Firebase/Supabase DB integration, Responsive web UI (mobile/desktop), AWS deployment basics. As a result, upon completing the course, students will have not just "individual technology pieces," but an integrated portfolio (AI response + face recognition + sensor communication + hardware design) ready for immediate demonstration at makerthons.

LLM: A pro quickly delivers core content, from essentials to practical tips!

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

# AI Side Hustle King: Aiming for 1 Million Won per Month with 2 Hours a Day I'll reveal every detail of my know-how—raising two kids while generating 15 million won in pure profit / 60 million won in sales per month, working just 2 hours a day. I'm confident I'm the best at utilizing AI in online sales. Smart Store / Coupang / Branding - An all-in-one package covering sourcing / marketing / detail pages / sales This isn't about randomly churning out products based on luck. It's designed to read the market → create a structure that sells → systematically drive exposure and conversion. I've included only what's essential, in the right order, to minimize wasted effort while using minimal time. ## What This Course Does for You - Helps you select "products that sell" when you're unsure what to sell - Teaches you how to read keywords and intent to reach profitable customers first - Shows you strategies to avoid competition by changing "category names" for the same products - Sets up a roadmap for the structure and timing that generates exposure on Coupang and Naver - Boosts conversion rates with detail pages and connects reviews/blogs/ads - Reduces image/content creation time with AI, making 2-hour daily operations possible ## Core Flow Included in the Curriculum **1) Planning Products That Sell** - Selling customer "problems," not products - Extracting ideas from customers' inconvenient habits - Reading market depth through search patterns - Practice: Identify 3 problems your product solves **2) Practical Keyword Research** - Reading "intent" is more important than search volume - Capturing key points in the search → comparison → purchase flow - Differences between Coupang vs Naver keyword research - Practice: Finding keywords for your product **3) Categorization to Avoid Competition** - The principle that the same product enters a different market with a different name - Creating a competition-free position by inventing new category names - Success case analysis + niche exposure structure - Practice: Planning a new category name for your product **4) Platform Strategy (Coupang·Naver)** - Making top exposure through "structure," not "effort" - Understanding Coupang/Naver exposure logic - New category entry timing, reading traffic data - Practice: Creating a platform entry roadmap **5) Detail Pages That Create Conversions** - Customers buy emotions and confidence, not products - Designing storylines with emotion → awareness → persuasion flow - Practice: Rebuilding emotional points in your detail page - Actual production including redesign with ChatGPT/editor **6) AI Image·Content Creation Practice** - Quickly generating needed images with prompt design methods - Utilizing Freepik + visual content creation - Practice: Detail page creation and feedback **7) From Zero-Cost Marketing to Paid Advertising** - Zero-cost marketing: Building trust with review-type/experience-type content - Blogs: Combining exposure-focused writing with conversion-oriented structure - Paid ads: Dissecting Naver/Coupang ad structure, ROAS-based operations - Avoiding auto-bidding traps, designing thumbnails/keywords centered on CTR - Practice: Designing ad promotions for your product ## Why It's Efficient This course doesn't just tell you "what to do"— it connects 'product-keyword-category-platform-detail page-marketing-advertising' in a single line, in the order that actually makes money. 2-3 million won courses? There are many good courses. But I'm confident there's no course with this level of quality at this price! The most fatal thing about a 2-hour-a-day side hustle is working hard in the wrong direction. This course is designed to save that time by making you move based on market and customer intent from the start, and structured so that once you build the system, it continues to generate sales.

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.

A course that will teach you how to create a website with ChatGPT and take charge of its distribution! Learn even fine-tuning.