The Complete AI Coding Course (2026) - Cursor, Claude Code- Vibe Coding...

This course is designed to help students understand React deeply and apply it confidently in real-world projects. Through years of teaching and mentoring, I’ve noticed that many learners struggle with React because they jump between tutorials without understanding the fundamentals or how everything connects in a real application. In this course, I solve that problem by teaching React step by step, starting from the basics and gradually moving toward advanced concepts. Every topic is explained clearly, then applied immediately in practical projects. I focus on best practices, clean code, and real development workflows, so students don’t just learn React — they learn how to think like React developers. By the end of the course, students will have built three complete, production-style applications and will feel confident creating and deploying their own React projects.

NO CODING NEEDED. MOST COMPREHENSIVE AI AGENTS & AI AUTOMATION COURSE FOR ALL SKILL LEVELS USING N8N. WE GO OVER HOW TO BUILD AI AGENTS & AI AUTOMATIONS EITHER FOR YOURSELF OR FOR YOUR CLIENTS.WE HELP BEGINNERS AUTOMATE ANYTHING WITH AI. AI is advancing at a rapid rate, don't get left behind. Learn how to implement AI in your personal life or for your business. This is a once-in-a-lifetime opportunity to get ahead of AI and learn how to build useful AI Agents and AI Automations to take your skills to the next level. We cover how to use AI beyond ChatGPT, and build real, working AI Agents and automations. This Complete AI Agents Course is the most complete AI Agents & AI Automation course on the market, with over 7 hours of course content covering AI Agent basics, an n8n tutorial, building AI Agents & Automations for businesses, trading stocks and crypto using AI Agents, sports betting with AI Agents and getting new business ideas from AI Agents. What You'll Learn in This Course: AI Agents & AI Automations Basics: We cover what AI Agents are and when to use them Complete n8n Tutorial : Learn how to use n8n, a no-code tool for AI Agents & AI Automation Building AI Agents for Businesses - Learn how to build real, working AI Agents for businesses in any industry Building AI Agents for Trading (Stocks & Crypto): Learn how to build AI Agents for trading crypto, stocks and sports betting Real-World Application: We go over real world applications and use cases when building AI Agents, for both professional and personal use cases. By the end of this complete course, you'll have the knowledge to build real, working AI Agents and AI Automations either for your own business or for your clients.

This course is designed to help students fully understand how the Forex market really works and how professional traders approach the market. With more than 10 years of experience working with hedge funds and proprietary trading companies, I created this course to solve the most common problems beginner and intermediate traders face. Many traders lose money because they follow incomplete strategies, social media signals, or unrealistic trading methods. This course focuses on teaching students how to understand price movement, market structure, institutional concepts, and professional risk management. Students will learn step-by-step how the Forex market evolved, what truly moves price, and how to combine fundamental analysis, technical analysis, and smart money concepts into one structured trading system. Unlike most trading courses that focus only on indicators or signals, this program teaches students how to read charts independently, build trading confidence, and develop their own strategy using proven professional techniques. By the end of this course, students will understand how to analyze the market, manage risk properly, and trade with discipline and consistency.

Step into the future of software development with Claude Code and agentic coding. This course is designed to help developers move beyond trial-and-error prompting and learn how to systematically use Claude Code as a real pair-programmer. Instead of copying generated code blindly, you’ll learn how to guide, constrain, and automate Claude Code so it produces clean, consistent, production-ready results. Through a complete, real-world project (LiftingDiary, a full-stack Next.js application), I walk you step by step through the same workflows used in professional environments: defining coding standards, generating documentation to influence AI output, automating repetitive tasks, and scaling agentic workflows across a growing codebase. This course focuses on solving the real problems developers face when using AI tools: inconsistent code, lack of structure, poor maintainability, and loss of control. By the end, you’ll have a clear system for using Claude Code efficiently, confidently, and professionally in your daily development workflow.

This course is built from years of real-world experience solving one recurring problem: students want to build real trading bots, but get stuck between theory, complex APIs, and fragmented resources. In Become a Quant, I guide you step by step through the exact workflow used by professional quant developers—from Python fundamentals to machine learning, AI-assisted coding, and live-trading preparation on QuantConnect. Instead of overwhelming you with unnecessary theory, I focus on practical problem-solving: how to structure a trading algorithm, how to avoid common QuantConnect mistakes, how to debug, backtest, and improve strategies efficiently, and how to use AI tools as a productivity multiplier rather than a shortcut. Every concept is explained through clear examples, real trading logic, and progressive projects, so you always understand why you are doing something—not just what to type. By the end of the course, you won’t just “know Python” or “know QuantConnect” — you’ll be able to design, test, and prepare professional-grade algorithmic trading systems across multiple asset classes.

SaaS explainer videos are everywhere, but many designers struggle when starting from a blank timeline in After Effects. Over the years, I’ve worked on real SaaS presentation and explainer projects where clarity, structure, and intentional motion were more important than flashy effects. In this course, I guide you step by step through a proven workflow used in real client projects. You’ll learn how to turn a script into a visual storyboard, prepare UI designs from Figma, organize complex scenes, and animate clean, modern SaaS presentations in After Effects. Instead of guessing what to animate next, you’ll learn how to think about motion design decisions that clearly communicate product value.

This course is designed to help beginners understand artificial intelligence in a simple, practical, and structured way. Many students feel overwhelmed by AI because of complex terminology, unclear explanations, or a lack of real examples. In this course, I focus on breaking down AI concepts into easy-to-understand ideas, using visual tools, real-world examples, and step-by-step demonstrations. Instead of heavy mathematics or theory, you will learn how AI works, how to use popular AI tools, and how to apply AI confidently for learning, productivity, development, and business use cases. By the end of the course, you will have a solid foundation in AI, understand modern AI tools, and feel comfortable exploring more advanced topics.

This course is a complete, hands-on Git and GitHub masterclass designed to help students master version control from the ground up. Through years of working with Git in real-world projects and helping learners overcome common Git frustrations—such as merge conflicts, broken histories, and collaboration issues—I’ve designed this course to be clear, structured, and practical. Each concept is explained step by step, followed by real examples and workflows used by professional developers. Whether you are working alone or in a team, you will learn how Git really works, not just commands to memorize. By the end of the course, you will confidently manage repositories, collaborate using GitHub, and maintain a clean, professional project history.

Design a modern 3-tier web service with AI and develop it using only "Vibe Coding," then deploy it to an AWS environment to complete a fully functional production service! We have included the entire sequence of configuration processes so you can experience core AWS services used in the industry—such as Amplify, CloudFront, ALB, EC2, S3, and RDS—in a single workflow.

This course is a hands-on masterclass that completely dissects the core technological evolution of generative AI, from LDM (Latent Diffusion Model) to DiT (Diffusion Transformer). We directly analyze the latent space-based learning principles of LDM, the structure of Stable Diffusion, and the implementation methods of the latest Diffusion Transformer through papers and code. Students will systematically learn the latest trends and structural evolution of generative models by directly implementing LDM, CFG (Classifier-Free Guidance), and DiT models using PyTorch.

This is a DevOps course based on practical experience in Silicon Valley. It goes beyond theory to cover content that can be applied immediately in the field. You will learn how to develop using Generative AI (Vibe Coding), set up CI/CD tools in a Kubernetes environment, and implement strategies to keep operating costs at $0. We will cover configuring a production environment without additional costs by running DB, Redis, S3, and batch jobs inside Kubernetes, and you will master building automated pipelines using GitHub Webhooks and Jenkins through hands-on projects.

Write meeting minutes, build apps, and even create videos all on one platform. Become an AI multiplayer with Google AI Studio!

From server setup to blog and YouTube automation, build a complete AI workflow with n8n. We will practice creating a stable operating environment, covering Contabo VPS-based server installation, Ubuntu/Docker/Portainer environment setup, domain connection, and HTTPS security configuration. The course covers Search API and file server development using FastAPI and Docker, Airtable and n8n integration, building blog AI agents, and image/video automation. You will be able to complete a profit-generating automation strategy that can be immediately applied to actual service operations.

I'll show you how Java backend developers using IntelliJ can maximize productivity with Claude Code. In particular, I'll help you completely solve the Vibe coding environment issues that Windows users experience.

Even if you don't know coding, full-stack development, or Rails development, you can build a complex platform like Inflearn. Use Windsurf, Cursor, and Claude Code.

Explains why LLMs are needed, their technical background, and basic concepts.

We implement the latest Transformer-based PixArt and lightweight adaptation SANA step by step from theory to code. Building on DDPM·DDIM·LDM·DiT covered in Parts I·II, we complete hands-on practice including text encoder integration, samplers (DDIM/ODE), v-prediction/CFG tuning, and small-scale data style fine-tuning.

My 14-day use, starting right after release: Claude Code! (AI Coding) - Immediately applicable to job seekers and pros! I'll tell you right away why I recommend it to everyone.

This course is a hands-on masterclass that completely conquers the evolution of Diffusion Models through papers and code implementation. You'll learn the core models of generative AI, including DDPM (Denoising Diffusion Probabilistic Model) and DDIM, by studying the paper principles and implementing them directly. We analyze step-by-step the background of each model's emergence, mathematical formulations, network architectures (U-Net, VAE, Transformer), training processes (Noise Schedule, Denoising Step), and the ideas that led to performance improvements. Students will directly code all models using PyTorch, gaining not just paper comprehension but 'practical skills to reproduce and apply' them in real-world scenarios. Additionally, by comparing the differences between models and their developmental flow, you'll clearly understand how they expand and evolve. This course integrates theory, code, and practice into one comprehensive journey, providing researchers, developers, and creators alike with a systematic way to master the evolution of generative models. Beyond simply 'reading' papers, start your experience of 'understanding and recreating' through direct implementation now.

In an era where AI writes code for you, will you remain a 'Coder' or leap forward to become an 'Architect'? This course is designed for junior developers who can handle basic implementation but feel stuck about the next steps or are anxious about falling into the trap of 'fake experience'. We aim to go beyond simply learning clean architecture theory and turn Robert C. Martin's (Uncle Bob) high-level design principles into weapons for the AI era.

We will examine methods for collecting and analyzing user requirements to plan LLM services.

The era of Physical AI, Perception AI, Generative AI, Agentic AI, and Physical AI mentioned directly by Jensen Huang in 2025 is coming. Experience Physical AI quickly and easily for yourself. Try Physical AI with HuggingFace's LeRobot library and real robots.

How did Assistant Manager Kim, who worked overtime every day, become a "leave-on-time pro" in just 1 hour? The secret to reclaiming your "clock-out time" Staying up all night because an Excel formula broke, or having an entire report ruined by a single typo—every office worker has experienced this at least once, right? This course was designed to put an end to that "recurring pain." You don't need to memorize complex coding syntax. We utilize Cursor AI, an AI-powered tool that writes code based on text commands, and Streamlit, which allows anyone to easily create websites. I have captured the entire process of solving the "pain points" I personally faced in the field—such as merging files by branch, automatically classifying items for repair, and generating infinite PDF certificates—all by "conversing" with AI without typing a single line of Python code yourself. By the end of this course, you will be reborn not as a mere office worker, but as a "Digital Transformation Expert" who revolutionizes your team's work efficiency.

This course explains the basic concepts of LLM and GPT in an easy-to-understand way for everyone. Students will build their own chatbot using the GPT API and deploy it on the web using Streamlit. By experiencing everything from the basics to hands-on practice, you can build a solid foundation for your first steps in utilizing AI.

This course on RAG (Retrieval-Augmented Generation) 👉 doesn't stop at conceptual explanations 👉 but involves building actual working structures hands-on 👉 and experiencing expansion and advancement through practice-focused learning. Starting from simple RAG examples, you'll progress step-by-step from Advanced RAG → Modular RAG → Agent-based RAG to a level that can be immediately applied in real-world work environments.

We're building an AI-powered video conferencing application with real-time AI agents, meeting summary features, and post-call functionality.

The first publicly released ChatGPT open source GPT-OSS - Get a taste of it faster than anyone else. Learn what GPT-OSS is and run it locally to create an overwhelming advantage with GPT-OSS faster than anyone else!

A course chosen by 3,000 students! Updated to GPT-5 version! How far can you go with ChatGPT? Create automated stock trading applications and web investment reports!