CodeSignal
177 קורסים
Generative AI in 2026 - Overview and Practice
Explore generative AI's 2026 landscape, from workplace applications to ethical considerations and future trends through hands-on practice.
Making Things Shine - Practice and Learn Image Generation with AI
Master AI image generation with DALL-E and Midjourney to create stunning visuals from text prompts for presentations and social media applications.
Parallelizing Claude Agentic Systems in TypeScript
Master concurrent execution patterns for Claude agents in TypeScript to reduce latency and scale multi-agent systems with Promise.all and parallel tool orchestration.
Neural Networks
Master neural network fundamentals by implementing perceptrons, activation functions, and backpropagation from scratch in C++ without high-level libraries.
Building a Short Story Generation Web Application With Django
Discover how to build an interactive web interface for AI-powered short story generation using Django, HTML, JavaScript, and CSS with user-friendly features and history tracking.
Getting Started with OpenAI Agents in JavaScript
Discover how to build responsive applications using OpenAI Agents SDK in JavaScript with asynchronous execution, structured outputs, and real-time streaming capabilities.
Controlling and Securing OpenAI Agents Execution in JavaScript
Master secure OpenAI agent development in JavaScript with data protection, workflow monitoring via event listeners, and input/output guardrails for reliable AI applications.
Integrating Tools into OpenAI Agents in JavaScript
Master integrating OpenAI-hosted tools, custom functions, agent delegation, and MCP servers to build powerful JavaScript agents with enhanced capabilities and external connections.
Coordinating OpenAI Agents Workflows in JavaScript
Master advanced OpenAI agent coordination in JavaScript through multi-turn conversations, sequential chaining, task delegation with handoffs, and custom validation workflows.
Making a Frontend for our Researcher with Streamlit
Discover how to build interactive web applications using Streamlit by transforming a CLI research assistant into a responsive frontend with widgets, layouts, and real-time AI integration.
Creating a Researcher in Python with OpenAI
Master building an AI research assistant in Python using OpenAI to automate query generation, content evaluation, iterative search, and comprehensive report creation.
Building Reusable LLM Components in Python
Master building reusable Python components for LLM applications with prompt management, API error handling, and dynamic template systems for production-ready workflows.