Build & Activate Agents In Natural Language with Claude Code

Lightning Lessons

Practical skills & tools to accelerate your career

Build & Activate Agents In Natural Language with Claude Code

Hosted by James Gray

166 students

What you'll learn

Design agents for your use case

Learn a design approach and methodology for decomposing work into reusable, high-performance digital workers.

Build agents in natural language

Configure an agent by describing your requirements in natural language with Claude Code (install before the session)

Activate agents in natural language

Call agents into action by describing your goal in natural language, and see agents work together to deliver the outcome

Why this topic matters

Building and activating agents no longer requires complex coding. Non-coders can leverage Claude Code to design and execute agents by describing requirements in natural language. Agents can work together to perform routine or complex tasks that streamline processes and boost productivity. You will leave the session with at least one agent you can activate immediately for your use case.

You'll learn from

James Gray

Data & AI Strategist | Berkeley Haas AI Instructor | Microsoft Veteran

James Gray is a data & AI entrepreneur focused on consulting, fractional leadership, and learning experiences.

In addition to his work with organizations, James teaches data and artificial intelligence strategy at the Berkeley Haas School of Business.

Over the past 30+ years, he has held CIO, CPO, data scientist, and product management roles at leading organizations like Microsoft. He has extensive experience building data and AI platforms and products.

James earned a Master of Data Science and MBA at UC Berkeley and a BS in Electrical Engineering from Union College. He is also certified by Brown University as a Leadership and Performance Coach.

Work at / Clients at