Agentic Programming: Build AI Agents and Embedded Applications โ€” LearnFlat

Agentic Programming: Build AI Agents and Embedded Applications

Learn to configure custom AI agents, build applications with the GitHub Spec Kit, and embed intelligent workflows using the GitHub Copilot SDK.

โฑ 53 min ๐Ÿ“š 3 aralin ๐ŸŽง Audio version

Tungkol sa kursong ito

As software development evolves, static code is giving way to dynamic, AI-driven workflows. This text-based course guides you through the core principles of agentic programming, showing you how to build, configure, and embed autonomous AI agents directly into your software projects. You will transition from writing traditional code to orchestrating intelligent systems that can plan, execute, and refine tasks. By understanding key concepts of agentic architecture, you will be able to design responsive software systems that leverage cutting-edge AI capabilities. What you'll learn: Understand the foundational concepts of agentic programming, agent lifecycles, and tool use; Configure custom AI agents within a modern development environment; Develop and update applications using the GitHub Spec Kit; Embed intelligent agents into software systems using the GitHub Copilot SDK; Apply modern prompt patterns and structured output techniques to control agent behavior; Design robust agent orchestration workflows to handle multi-step tasks. This course begins with fundamental definitions of agentic systems before guiding you step-by-step through configuration, development kits, and SDK integration. Through clear written explanations and practical code snippets, you will build a solid foundation in modern AI application development. Designed for software developers and tech enthusiasts new to agentic workflows, this course requires only basic programming knowledge to get started. Start reading today to begin building the next generation of intelligent, agent-driven applications.

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  • ๐ŸŽง Kasama ang audio version
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  • ๐Ÿ“ฑ Telepono o computer
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  • ๐Ÿ’ธ 14-day refund
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  • โšก Maikli at focused
    53 min ng practical content

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