What You'll Learn

In this advanced course, participants will explore the cutting-edge of agent and tool engineering within the context of Large Language Models. From writing effective system prompts to designing autonomous agents capable of evolving their own functionality, this class covers the comprehensive skills required to innovate in the field of AI and machine learning. Participants will learn how to harness open-source tools, manage vector stores economically, and create complex agent architectures for collaborative and secretive tasks.

- Write effective system prompts for regularized outputs or tool use - Design and implement agents capable of using, creating, and managing tools - Develop agents with autonomous action capabilities, including scheduling and event-triggered responses - Utilize open-source tool hubs designed for Large Language Models - Manage and economically host large vector stores - Construct self-improving agents that can evolve their prompts - Create and manage swarms of agents collaborating on complex goals - Design meta-swarms and information hierarchies for advanced agent collaboration and secrecy - Evaluate and create benchmarks for LLM performance analysis

Course Schedule

4 Weeks
10.5 Classroom Hours

Week 1 2 sessions

Tool Users

Monday, October 28 at 2:00 PM - 3:30 PM PDT

Focuses on writing effective system prompts for regularized output or tool use and creating agents who can utilize tools efficiently.

1.5h

Automate Agent Creation

Wednesday, October 30 at 2:00 PM - 3:30 PM PDT

Covers creating benchmarks for LLM performance evaluation, and writing agents capable of creating tools and other agents.

1.5h

Week 2 2 sessions

Tool-Using Agents with RAG

Monday, November 04 at 2:00 PM - 3:30 PM PST

Explores the use of open-source tools designed for LLMs, managing knowledge in vector stores, and hosting vector stores economically.

1.5h

Common Agent Patterns

Wednesday, November 06 at 2:00 PM - 3:30 PM PST

Delves into writing agents that can take autonomous actions based on schedules or event triggers.

1.5h

Week 7 2 sessions

Self-Improving Agents

Monday, December 09 at 2:00 PM - 3:30 PM PST

Focuses on creating self-improving agents, using critical theory, and applying expert strategies for prompt optimization.

1.5h

Swarms and Swarm Architecture

Wednesday, December 11 at 2:00 PM - 3:30 PM PST

Teaches about creating swarms of agents for collaboration on complex goals and constructing effective agent architectures.

1.5h

Week 8 1 session

MetaSwarms

Monday, December 16 at 2:00 PM - 3:30 PM PST

Covers constructing meta-swarms with information mediators and creating an information hierarchy among agents for enhanced secrecy and collaboration.

1.5h

All times shown in Pacific Time (PT)

Who Is This Course For

Students with foundational knowledge in Prompt Engineering and Agent Engineering, looking to specialize in advanced agent and tool creation and management.

Join the Course

Pay what you can - accessible learning for all

We use a suggested price to prevent abuse, but if you need a larger discount, email us at liz@themultiverse.school. We offer 100% scholarships - no one is turned away for lack of funds.

$ 140

Suggested price • Pay what you can

Join Now

Secure payment via Stripe

$ 200

Suggested price • Pay what you can

Join Now

Secure payment via Stripe

Want to schedule this course for your team?

Contact us: liz@themultiverse.school