Учебные материалы по ИИ

Explore Claude Sonnet 4’s developer features—code execution, files API, and tool use—by building a Python-based math-solving agent.

Plan, build, test, and deploy a machine learning project from scratch using the Claude Opus 4 model with Claude Code.

Learn how to use Veo 3 to create a spec ad, maintain character consistency across different shots, and gain modular control with the Ingredients feature.

Learn how to build multi-agent AI applications with Autogen Studio, Autogen AgentChat, Autogen Core, and Autogen Extensions.

Learn how to use Devstral with Mistral Inference locally and with OpenHands using the Mistral AI API.

Learn what Langflow is, how to install it, and how to build simple and custom AI agent workflows using Python.

Learn what Chainlit is, how to install it, and how to run it to build interactive interfaces for LLM-powered applications.

A step-by-step guide to fine-tuning the state-of-the-art Phi-4 Reasoning model on the finance Q&A dataset in under 10 minutes.

Develop a multi-tool agent application using LangGraph, Tavily, Python tool, and Mistral AI API in the DataLab environment.

Learn what OpenAI's Codex is and how to use it inside ChatGPT to perform coding tasks on a GitHub repository.

Learn how to use Haystack's dataclasses, components, document store, generator, retriever, pipeline, tools, and agents to build an agentic workflow that will help you invoke multiple tools based on user queries.

AI-powered terminal built with Rust, designed to enhance developer productivity by combining intelligent command suggestions, reusable workflows, collaboration tools, and seamless customization.