Multi-Agent Systems & Agent Swarms in LangGraph
FREE
Upcoming cohort
Jun 23, 2026Meeting time
Tuesday, 12:00PM ET
What will I learn?
- Implement agent swarm patterns for decentralized coordination and emergent problem-solving.
- Design and build dynamic agent networks capable of runtime agent creation and adaptive team formation.
- Utilize broadcast and subscription patterns for efficient agent communication and task selection.
- Apply various agent collaboration protocols, including voting, consensus, and competitive bidding.
- Develop Map-Reduce agent patterns for parallel execution, result aggregation, and conflict resolution.
- Manage complex agent states using shared channels, private memory, message queues, and event-driven coordination.
Curriculum
Introduction to Advanced Multi-Agent Architectures
Agent Swarm Intelligence & Dynamic Networks
Advanced Agent Communication & Collaboration
Parallel Execution & Advanced State Management
Why Edlitera?
Build the coding, data and AI skills you need, online, on your own schedule. From learning to code as a beginner to mastering cutting-edge data science, machine learning and AI techniques.
Learning for the real world
Our courses are made with the input and feedback of top teams at Fortune 500 companies in Silicon Valley and on Wall Street.
No-fluff learning
Each minute of each course is packed full of insight, best practices and real-world experience from our expert instructors.
Learn by doing
Start writing code on your computer from Day One. Practice on hundreds of exercises. Apply your skills in mini-projects. Get instant feedback from video solutions.
Complete learning tracks
With over 150 hours of video lectures and hundreds of practice exercises and projects, our learning tracks will help you level up your skills whether you are a novice or an advanced learner.
What people are saying
"I walked into the bootcamp with some basic Python syntax and walked out with a much stronger, contextualized grasp of Python, an understanding of common mistakes, the ability to solve basic coding problems, and confidence in my ability to learn more."
Randi S., Edlitera Student
"I wanted to learn Python and be able to process data without being tied and limited by Excel and macros. These classes gave me all the tools to do so and beyond. The materials provided, the engagement of the class by the tutors and their availability to help us were excellent."
Gaston G., Edlitera Student
Course Syllabus
Module 1: Introduction to Advanced Multi-Agent Architectures
- Exploring the spectrum of multi-agent patterns in LangGraph
- Beyond traditional coordinator-worker and debate patterns
Module 2: Agent Swarm Intelligence & Dynamic Networks
- Agent Swarm Patterns: decentralized coordination, emergent problem-solving, and self-organizing agent teams
- Dynamic Agent Networks: runtime agent creation, task-based team formation, and adaptive network topologies
Module 3: Advanced Agent Communication & Collaboration
- Broadcast & Subscription: publish-subscribe patterns where agents listen for relevant messages and self-select tasks
- Agent Collaboration Protocols: voting mechanisms, consensus algorithms, competitive bidding for tasks
Module 4: Parallel Execution & Advanced State Management
- Map-Reduce Agent Patterns: parallel agent execution with automatic result aggregation and conflict resolution
- Advanced State Management: shared channels, private agent memory, message queues, and event-driven coordination
Have a question?
Contact us any time, we'd love to hear from you!