Agentic AI: Personal AI Agent Development

#AI #Computer #Data #Learning #stem

Join Anil Malakar, Cloud & AI Solutions Architect with 22+ years of experience and author of practical guides on generative AI and agentic systems, for a fast-paced 60-minute session.

This IEEE workshop directly addresses the IEEE's interest in "making" and "engineering design" by empowering students to build their own personal AI engineering workstation. We move AI from an abstract, cloud-based service to a tangible, configurable system on their own hardware.

Learning Objectives: Participants will be able to:

·      Understand the benefits and possibilities of running modern AI models locally versus relying solely on cloud APIs.

·      Install and configure a complete, open-source GenAI stack (Ollama, Llama 3.1, or any other LLM available) on their personal computers.

·      Integrate the Strands Agents SDK to create basic agentic workflows.

·      Build and interact with a functional local AI Agent to demonstrate core Agentic AI concepts.

·      Identify minimum hardware requirements and performance trade-offs for local AI development.

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• 960 River Road
• TEANECK, New Jersey
• United States 07666
• Building: Becton Hall
• Room Number: 205

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• Co-sponsored by IEEE North Jersey Section

• Starts 10 March 2026 04:00 AM UTC
• Ends 03 April 2026 05:00 PM UTC
• No Admission Charge

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