Multi Agent Systems Courses
Multi-Agent Systems courses can help you learn coordination strategies, communication protocols, and decision-making processes among autonomous agents. You can build skills in designing algorithms for agent interactions, analyzing system performance, and implementing negotiation techniques. Many courses introduce tools such as NetLogo for agent-based modeling and simulation software to visualize agent behaviors, allowing you to apply these skills in practical scenarios like traffic management, resource allocation, and collaborative robotics.
Popular Multi Agent Systems Courses and Certifications
Status: Free TrialSkills you'll gain: AI Orchestration, AI Workflows, LangGraph, Agentic Workflows, LangChain, LLM Application, Tool Calling, Agentic systems, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Patterns, Retrieval-Augmented Generation, Prompt Engineering, AI Integrations, Application Development, Data Visualization, Responsible AI, Large Language Modeling, Risking
Status: Free TrialMicrosoft
Skills you'll gain: Responsible AI, Containerization, Scalability, Docker (Software), AI Orchestration, Application Deployment, Kubernetes, Azure Active Directory, AI Integrations, System Monitoring, AI Workflows, Agentic systems, Artificial Intelligence, Microsoft 365, Generative AI Agents, Enterprise Architecture, Microsoft Azure, Agentic Workflows, AI Security, Enterprise Security
Status: PreviewUniversity of California, Davis
Skills you'll gain: Prompt Engineering, Generative AI Agents, AI Workflows, Prompt Patterns, Agentic Workflows, Agentic systems, Generative AI, AI literacy, Artificial Intelligence, Responsible AI, Risking, Algorithms
Status: NewSkills you'll gain: Context Engineering, Retrieval-Augmented Generation, AI Orchestration, LLM Application, Prompt Engineering, Responsible AI, Generative AI Agents, Model Context Protocol, Context Management, Prompt Engineering Tools, Agentic Workflows, Token Optimization, OpenAI, Agentic systems, AI Security, Large Language Modeling, Hardening, Systems Architecture, Software Architecture, Python Programming
Status: Free TrialSkills you'll gain: LangGraph, AI Orchestration, Model Deployment, Retrieval-Augmented Generation, AI Workflows, Generative AI Agents, CrewAI, Agentic Workflows, LangChain, AI Integrations, LLM Application, Agentic systems, OpenAI, Systems Integration, Tool Calling, Google Gemini, Workflow Management, Automation, Prompt Engineering, Responsible AI
Status: Free TrialSkills you'll gain: LangGraph, AI Workflows, Agentic Workflows, AI Orchestration, Generative AI Agents, Agentic systems, LangChain, LLM Application, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Prompt Patterns, Retrieval-Augmented Generation, Tool Calling, Responsible AI, Risking, Context Management, Software Development, Python Programming, Data Science
What brings you to Coursera today?
Status: PreviewStatus: AI skillsDeepLearning.AI
Skills you'll gain: CrewAI, AI Workflows, AI Orchestration, Agentic Workflows, Generative AI Agents, Agentic systems, LLM Application, Automation, Artificial Intelligence and Machine Learning (AI/ML), Model Context Protocol, Context Engineering, Artificial Intelligence, System Monitoring, Workflow Management, Context Management, Tool Calling, Continuous Monitoring, Scalability, Memory Management, Large Language Modeling
Status: NewStatus: Free TrialEdureka
Skills you'll gain: LangChain, LangGraph, Model Context Protocol, AI Workflows, LLM Application, Context Engineering, AI Orchestration, Agentic Workflows, Generative AI Agents, Tool Calling, Model Deployment, Data Processing, Data Transformation, Retrieval-Augmented Generation, Agentic systems, Generative AI, Gemini, Artificial Intelligence, Prompt Engineering, Responsible AI
Status: NewStatus: Free TrialSkills you'll gain: AI Orchestration, AI Workflows, Agentic Workflows, Generative AI Agents, Agentic systems, Enterprise Architecture, Retrieval-Augmented Generation, Scalability, Context Management, AI Security, Software Architecture, Vector Databases, Debugging, Memory Management
Status: NewStatus: Free TrialLearnKartS
Skills you'll gain: Model Context Protocol, Agentic systems, Vector Databases, Retrieval-Augmented Generation, Prompt Engineering, Tool Calling, Google Gemini, Agentic Workflows, AI Workflows, Generative AI Agents, AI Orchestration, Server Side, Node.JS, MongoDB, Embeddings, Large Language Modeling, Natural Language Processing, Web Development, Machine Learning, Javascript
Status: FreeDeepLearning.AI
Skills you'll gain: CrewAI, AI Workflows, AI Orchestration, Agentic Workflows, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Agentic systems, Business Process Automation, Memory Management, Tool Calling
Status: Free TrialSkills you'll gain: AI Workflows, AI Orchestration, Agentic Workflows, Model Deployment, AI Security
In summary, here are 10 of our most popular multi agent systems courses
- Building AI Agents and Agentic Workflows: IBM
- Building multi-agent systems: Microsoft
- AI Agents: From Prompts to Multi-Agent Systems: University of California, Davis
- Context Engineering for Multi-Agent Systems: Packt
- Autonomous AI Agent Systems and Orchestration: Edureka
- Agentic AI with LangChain and LangGraph: IBM
- Design, Develop, and Deploy Multi-Agent Systems with CrewAI: DeepLearning.AI
- Agentic AI Engineering: Edureka
- Multi-Agent Systems and Orchestration: Coursera
- Full Stack Agentic AI: LearnKartS
