AI-Powered Programming Lecture Series with JetBrains and Nebius

Even those who have never experienced even the basics of coding can create automation software with just a few clicks. I'm serious.

We introduce basic prompt patterns for coding and advanced API prompt patterns for leveraging artificial intelligence.

If you’ve ever had trouble determining whether the quality of responses declined after changing a prompt or model while building a service using an LLM, this course may be the solution. You’ll learn how to create your own evaluation criteria and automatically identify responses that have changed.

Is your skill stagnating because you keep asking AI to 'just whip something up'? This course dissects the principles and philosophy of the 'Cocrates Harness,' a rigorous constraint system that fundamentally blocks the sloppy generation of LLMs. Defy the gravity of AI convenience and discover the cheat code to rapidly growing into a 'true top-tier architect' who commands and controls every design context!

This course trains you to think in terms of frontend system design through real-world service cases such as Threads feeds, Amazon shopping carts, the Netflix streaming UI, Google Docs collaborative editing, Micro Frontends, Agentic UI, and Observability.

As AI rapidly permeates daily life and industries, attack techniques targeting these systems are evolving alongside them. This course is a practical, hands-on program designed to help you understand the latest security threats surrounding Generative AI and LLMs, automate security tasks using AI, and experience LLM jailbreak attacks and defenses firsthand.

Explore → Plan → Implement → Commit. Master a proven AI development workflow with Claude Code. Learn everything from MCP and sub-agents to prompt engineering through 23 missions, and complete 3 real-world projects.

A developer with 20 years of experience will show you how to reduce your workload and create additional income with AI. You’ll build tool websites, subscription services, and apps yourself, and create 24/7 business automation with AI agents (Aside) and n8n. From AX, which transforms the way your company works, you’ll receive lifetime updates with a single purchase.

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

This course is an introduction to vibe coding, where you can develop programs simply by asking questions, without any coding knowledge, using Antigravity 2.0, Google’s AI agent development platform. To ensure you can follow along without making any paid purchases, the course makes maximum use of free AI models and consists of 3 parts with a total of 19 lessons. In Part 1, you will learn what Antigravity is. We will examine how IDE and CLI environments differ in AI vibe coding, where Antigravity fits among the various types of AI development tools, and why it is compared to "self-driving." You will complete the installation and launch the first screen, getting ready to begin development. Part 2 covers how to use Antigravity in detail. You will learn how to ask questions, check results, and make revisions while creating your first project, as well as important points to keep in mind when using Undo and Redo, how to use the project menu, and how to stop approval requests from appearing every time. It also includes practical tips for dealing with free model usage limits, enabling you to solve problems on your own when you get stuck. In Part 3, you will implement a feature that integrates Survey data using an external AI. You will learn how to ask questions to get the results you want, review the completed project, and finish by completing the data integration yourself through two hands-on exercises.

The screen created by AI looks plausible, but can you actually use it from start to finish? Learn how to find missing conditions in HTML, CSS, JavaScript, state, input, and navigation—and what screen requirements to give the AI and what criteria to use when reviewing the results.

Design by me, code by AI: Learn object-oriented design with Unity 6 and C#, Copilot / Claude prompting, and AI code verification to complete a 60-second survival 3D game. Become a game developer who knows how to work with AI.

It doesn’t stop at following along to create a sample game. Using ChatGPT- and Codex-based vibe coding, you’ll learn the entire process through a real launch project: from game planning → development → mobile builds → AdMob ad integration → publishing on ONE store, Google Play, and the App Store.

From coding basics to launching your own app all at once?! The App Build All-in-One, connecting fundamentals and practical application.

It's okay if you don't know a single line of code. We are now in the era of 'Vibe Coding,' where you develop by 'conversing' with AI.

This is a process for completing IoT products without complex coding, using the Vibe Coding methodology powered by AI agents. You can experience the entire product development cycle in a condensed format—from embedded hardware control and AI vision recognition to PCB design, 3D printing, and web/app service development—allowing you to launch functional, commercial-grade IoT devices.

Have you ever actually run a service you built? Deployment and observability, external integrations and queues, files and extensions, and operating AI features. This is Part 2, where you learn what else needs to be decided to keep an AI-built backend serving real users continuously.

AI-generated SQL ran without errors—but does that mean the result is correct? Learn to identify missing criteria in a row’s meaning, values, queries, aggregations, changes, and concurrent requests, as well as which data rules to communicate to AI and what evidence to use when reviewing the results.

Are you overwhelmed by AI-generated backend code and unsure where to look? Learn how to identify missing conditions in requests, APIs, data, concurrency, authentication, and caching—and what requirements to give the AI and what criteria to use when reviewing its output.

From AWS EC2 backend operations to automatic error fixing, we are revealing the entire development process of Sidabari (https://github.com/cx8537/sidabari), a Claude Code-based automation tool. In this course, we provide all the actual prompts and conversation history used as learning materials, allowing you to experience the entire prompt input process involved in its creation.