CodeSignal
192 קורסים
AI Images for Workplace Communication
Explore how to use AI for workplace image description, generation, and editing—crafting structured visual prompts, ensuring brand alignment, accessibility, and responsible use.
Introduction to Generative AI
Explore generative AI concepts, learn to select workplace use cases, write effective prompts, and improve outputs through iteration—ideal for non-technical roles.
Parallelizing Gemini Agentic Systems in Python
Master async programming to scale Gemini-powered agentic systems, enabling concurrent API calls, parallel tool execution, and multi-agent coordination for high-throughput Python workloads.
Mastering Agentic Patterns with Gemini in Python
Explore multi-agent systems using Gemini in Python, mastering coordination, orchestration, and delegation patterns to build sophisticated pipelines where specialized agents collaborate on complex problems.
Developing Gemini Agents with Tool Integration in Python
Explore building autonomous Gemini agents in Python, from tool schemas to iterative function integration, enabling interaction with external systems and solving complex tasks.
Exploring Workflows with Gemini in Python
Explore orchestrating Gemini in Python through workflow patterns—master prompt chaining, intelligent task routing, and parallel async processing to decompose and handle complex AI tasks efficiently.
Building Effective Agents with Gemini in Python
Master workflow orchestration, tool integration, and multi-agent patterns using Gemini in Python to build high-performance, autonomous AI agents capable of solving complex, multi-step tasks.
AI Literacy 101
Explore the basics of Generative AI, learn to craft effective prompts with ChatGPT or Claude, and master AI image creation and manipulation for workplace communication.
Building an Image Generator with Go and Gemini
Delve into AI image generation using Go and Gemini—set up APIs, craft prompts, manage images, and build a full-stack web app with a backend service.
Building an Image Generation Web Application With Go and Gemini
Explore building a full-stack image generation web app using Go, HTML, CSS, and JavaScript, integrating AI-powered APIs with dynamic UI, tab navigation, and user history features.
Understanding the 12-Factor Agents Methodology
Explore the 12-Factor Agents methodology to build reliable, scalable AI agents—moving beyond demos to production-ready systems with clear principles for LLM integration and maintainable architecture.
Foundations of Agentic Tool Use in Python
Master the practical building blocks of agentic systems in Python—prompt for structured outputs, define tool schemas, manage context windows, and build reliable self-correcting agent loops.