From AI Hype to Practical Engineering

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Getting useful results from AI requires engineering judgment about the task, the available context, and how much responsibility to give the tool. Drawing on my experience in enterprise architecture, platform modernization, and organizational AI enablement, I’ll discuss how to move from everyday AI assistance toward more structured and agentic engineering workflows. We’ll explore how code, documentation, architecture, and system relationships shape the results, using examples from development, quality engineering, and interim technical incident analysis. The session will also examine how engineers at different experience levels can use AI effectively while continuing to develop their own understanding and judgment. Throughout, we’ll keep the discussion grounded in practical value, quality, cost, and human accountability.
 
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  • Starts 30 October 2026 04:00 AM UTC
  • Ends 17 November 2026 02:00 AM UTC
  • No Admission Charge

  Speakers

Anoop Sharma of Penn Foster Group

Topic:

From AI Hype to Practical Engineering

Getting useful results from AI requires engineering judgment about the task, the available context, and how much responsibility to give the tool. Drawing on my experience in enterprise architecture, platform modernization, and organizational AI enablement, I’ll discuss how to move from everyday AI assistance toward more structured and agentic engineering workflows. We’ll explore how code, documentation, architecture, and system relationships shape the results, using examples from development, quality engineering, and interim technical incident analysis. The session will also examine how engineers at different experience levels can use AI effectively while continuing to develop their own understanding and judgment. Throughout, we’ll keep the discussion grounded in practical value, quality, cost, and human accountability.

Biography:

Anoop Sharma is Director of Platform Engineering at Penn Foster Group and an IEEE Senior Member. His experience spans enterprise architecture, event-driven platforms, system modernization, and engineering leadership in online education. He has designed architecture for platforms serving millions of learners and works on practical AI adoption across engineering, quality, and platform operations.

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Address:United States