Local Mentoring Committee

LMC

The ACM Local Mentoring Committee (LMC) is a standing committee of the ACM Practitioner Board (PB). It helps nearby members connect and network with each other, prototypes streamlined activities at the grassroots level, and increases brand cohesion, affinity, and simplicity for new participants. The LMC activates city tech communities at the forefront of computing, city event organizers in their areas of technical interest and exploration, and support for beginner attendees to Turing award winning speakers.

 

  • Local Mentoring Committee

    Chair
    Grace Ufeoshi
    Member
      Riya Charaya
      Andrew Conklin
      Edward Freedman
      Sonia Garcha
      Akshay Mittal
    Padmini Soni
Learning Resource

Codeacademy: Agentic AI Mastery

Agentic AI Mastery is a comprehensive learning journey designed to help learners understand, design, and build intelligent AI systems that go beyond passive prediction to autonomous decision-making and action.

This journey explores how modern AI agents perceive their environment, reason about goals, use tools, collaborate with other agents, and adapt over time. Learners progress from foundational concepts and architectures to hands-on implementation using leading agentic AI frameworks.

This Aspire Journey includes interactive content from Codeacademy.

Agentic AI Mastery