AI agents are becoming a core part of modern AI development, enabling automation, data‑driven decision making, and real‑world applications at scale. This upcoming webinar explores how to design and run AI agents on Azure with cost efficiency in mind, helping learners and practitioners make informed decisions from experimentation through production.
AI agents are increasingly central to building automated solutions, experimenting with data‑driven decision making, and bringing real‑world AI systems to life.
But as AI adoption grows, so do important questions: How much does AI cost? How do design choices affect efficiency? And how can developers build AI solutions that are both innovative and sustainable?
The Maximize the Cost Efficiency of AI Agents on Azure webinar is designed to help answer these questions.
This session provides practical guidance on designing and scaling AI agents on Azure while keeping cost efficiency in mind. Rather than focusing only on tools and services, the webinar helps learners and educators understand how architectural decisions, model choices, and usage patterns directly impact cost, performance, and outcomes. These are the same considerations students will encounter in real-world projects, research, and future careers.
Who should attend?
Whether you are introducing Agentic AI concepts in the classroom, working on student projects, or exploring AI agents as part of your learning journey, this webinar offers actionable insights you can apply immediately—both in teaching and hands-on experimentation.
Why attend the webinar?
In this session, you’ll see how Agentic AI cost considerations translate from theory into real-world scenarios, using practical examples that are easy to relate to student projects and classroom use cases. The webinar also highlights common cost pitfalls and shows how thoughtful design decisions can help avoid them early.
Most importantly, the session helps learners and educators connect technical choices to measurable outcomes—building a stronger understanding of how to evaluate, optimize, and govern AI systems responsibly. You’ll have the opportunity to ask questions live and leave with clearer guidance on how to build AI agents that scale efficiently.
If you care about preparing students for real-world AI development—or building your own skills with a strong foundation in responsible and cost-aware design—this webinar is a valuable addition to your learning journey.
📅 Register for the free webinar happening on March 5, 2026, from 8:00 AM – 9:00 AM (UTC‑08:00) Pacific Time (US & Canada).
Who will speak at the webinar?
Your speakers will be:
Carlotta Castelluccio: Carlotta is a Senior AI Advocate with the mission of helping every developer to succeed with AI, by building innovative solutions responsibly. To achieve this goal, she develops technical content, and she hosts skilling sessions, enabling her audience to take the most out of AI technologies and to have an impact on Microsoft AI products’ roadmap.
Nitya Narasimhan: Nitya is a PhD and Polyglot with 25+ years of software research & development experience spanning mobile, web, cloud and AI. She is an innovator (12+ patents), a visual storyteller (@sketchtedocs), and an experienced community builder in the Greater New York area. As a senior AI Advocate on the Core AI Developer Relations team, she acts as "developer 0" for the Microsoft Foundry platform, providing product feedback and empowering AI developers to build trustworthy AI solutions with code samples, open-source curricula and content-initiatives like Model Mondays. Prior to joining Microsoft, she spent a decade in Motorola Labs working on ubiquitous & mobile computing research, founded Google Developer Groups in New York, and consulted for startups building real-time experiences for enterprise. Her current interests span Model understanding & customization, E2E Observability & Safety, and agentic AI workflows for maintainable software.
Microsoft