Enterprise Grade Agents Course
Description
This comprehensive course teaches students how to build, deploy, and manage autonomous agents for enterprise workflows using the Swarms library. Students will learn to create robust, scalable agent systems that can handle complex business processes, integrate with existing tools, and maintain long-term memory.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
[](https://discord.com/servers/agora-999382051935506503)
Enterprise Agent Development with Swarms
[](https://discord.gg/agora-999382051935506503) [](https://www.youtube.com/@kyegomez3242) [](https://www.linkedin.com/in/kye-g-38759a207/) [](https://x.com/kyegomezb)
This comprehensive course teaches students how to build, deploy, and manage autonomous agents for enterprise workflows using the Swarms library. Students will learn to create robust, scalable agent systems that can handle complex business processes, integrate with existing tools, and maintain long-term memory.
**Prerequisites:**
- Intermediate Python programming skills
- Basic understanding of LLMs and AI concepts
- Familiarity with enterprise software development
**Course Duration:** 8 weeks (24 hours of instruction)
Module 1: Foundations of Enterprise Agents
Week 1 (3 hours)
Introduction to Autonomous Agents
- Understanding agent architecture
- Key components of enterprise agents
- The Swarms agent ecosystem
Agent Fundamentals
- Agent initialization and configuration
- System prompts and templates
- Memory management basics
Practical Exercise
- Setting up your first enterprise agent
- Basic agent configuration
- Running simple tasks
Module 2: Advanced Agent Configuration
Week 2 (3 hours)
- Agent Memory Systems
- Short-term memory management
- Long-term memory integration
- Memory chunking and context windows
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