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Build multi-turn conversational agents by managing session lifecycles, persistent context, streaming events, and delegated custom agents with the Copilot SDK.
Connect agents to external data and services through typed tools and MCP servers, while applying least-privilege permissions and error handling for resilient workflows.
Evaluate when agentic AI fits real-world tasks, build a Copilot SDK agent, and trace its JSON-RPC runtime to diagnose behavior.
Learn to judge when agentic AI fits better than prompt-response approaches, then build and debug agents with the GitHub Copilot SDK’s JSON-RPC runtime.
Turns agentic AI development experience into career-ready communication through targeted applications, portfolio storytelling, and technical interview practice rather than new tooling.
Move beyond standalone agents: route tasks across models, orchestrate specialized sub-agents, and embed tested workflows into real applications with event-driven triggers.
Prepare agent systems for deployment through mocked-session testing, behavioral-drift telemetry, sandboxing, RBAC, and governance artifacts.
Build practical data analytics skills in Python, from statistical foundations through Pandas-based wrangling and ingestion.
Learn foundational Python and Java programming skills as preparation for starting a software development career.
Build foundational Python programming skills while exploring source code, cloud technology, SaaS, and data visualization with Matplotlib and Seaborn.
Learn to build simple Python applications using files, GUIs, APIs, libraries, and web scraping across a three-course programming track.
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