AI Multi-Agent Systems Training in Delhi

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25 hrs of E-Learning Videos
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AI Multi-Agent Systems Course Overview

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Upcoming AI Multi-Agent Systems Batches

21-09-2026
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
16-09-2026
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
18-09-2026
Sat-SunWeekend Batch
09:00 AM & 01:00 PM Batches(Class 2Hr - 4Hrs) / Per Session
Can't find a batch? Pick your own schedule

AI Multi-Agent Systems Course Syllabus

You will learn about how agents are put together in different setups. The focus also includes how agents coordinate with each other. You will cover communication methods, planning, and how LLM based agents fit in. By the end, you should be able to build and test multi agent AI systems. You will apply these ideas to automation, research, software work, and decision support.

  • Introduction to AI Agents and Agentic AI
  • AI Agents vs. Chatbots vs. Traditional AI
  • Agent architecture and core components
  • LLMs as reasoning engines
  • Prompting, structured outputs and function/tool calling
  • ReAct, Planning, Reflection and Reasoning patterns
  • Tools, APIs and external environments
  • Agent memory: short-term and long-term memory
  • State management and context engineering
  • Agentic workflows and decision-making
  • Human-in-the-loop agents
  • Building agents using Python and modern agent frameworks
  • Fundamentals of Multi-Agent Systems (MAS)
  • Single-agent vs. multi-agent architectures
  • Agent roles, specialization and delegation
  • Communication and coordination between agents
  • Sequential, hierarchical, parallel and collaborative agents
  • Debate, reflection and consensus-based multi-agent patterns
  • LangGraph fundamentals: nodes, edges and state
  • Stateful and cyclic agent workflows
  • Supervisor and hierarchical architectures
  • Agent routing and task delegation
  • Multi-agent collaboration using LangGraph
  • Persistence, checkpointing and human approval workflows
  • Retrieval-Augmented Generation (RAG) fundamentals
  • Advanced/Agentic RAG architectures
  • Vector databases and semantic search
  • Query routing and multi-agent retrieval
  • Research and knowledge-worker agents
  • Building multi-agent RAG applications
  • Model Context Protocol (MCP) fundamentals
  • MCP clients, servers, tools and resources
  • Connecting agents to databases, files and APIs
  • Designing reusable tool ecosystems
  • MCP security and permissions
  • Building tool-using multi-agent applications
  • Agent interoperability concepts
  • Agent2Agent (A2A) protocol
  • Agent discovery, delegation and task communication
  • MCP vs. A2A
  • Cross-framework and distributed agent systems
  • Enterprise multi-agent architectures
  • Evaluating agent and multi-agent performance
  • Reliability, observability and tracing
  • Hallucination and error handling
  • Prompt injection and tool-security risks
  • Guardrails and responsible AI
  • Cost, latency and scalability optimization
  • Deployment and monitoring of production agents
  • Software-development agents
  • Research and web-browsing agents
  • Data-analysis agents
  • Customer-service agents
  • Autonomous workflow automation
  • Enterprise AI assistants
  • Multi-agent systems for scientific and business applications
  • Problem identification and system architecture
  • Agent role and workflow design
  • Tool/MCP integration
  • Memory and RAG integration
  • Multi-agent orchestration
  • Evaluation and observability
  • Deployment and final project demonstration
Need customized curriculum?
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Hands On AI Multi-Agent Systems Projects

Enroll in our AI Multi-Agent Systems classes, where our course focuses on providing high-quality training with a strong foundation in core concepts and a practical approach. Through exposure to current industry use cases and scenarios, participants will enhance their skills and gain the ability to execute real-time projects using best practice

Multi-Agent Research Assistant

  • Build a team of specialized AI agents for web research, information extraction, and summarization.
  • Implement agent coordination, tool calling, memory, and RAG.
  • Generate a final research report with sources and automated fact-checking.

Multi-Agent Software Development System

  • Develop collaborating agents for requirements analysis, coding, testing, and code review.
  • Use an orchestrator/supervisor agent to assign and monitor tasks.
  • Implement Git/API tools, error handling, human approval, and automated testing.

Intelligent Business Workflow Automation

  • Build a multi-agent system for automating a real-world business process such as customer support or invoice processing.
  • Integrate LLM agents with databases, APIs, MCP tools, and long-term memory.
  • Evaluate the system for accuracy, cost, latency, security, and reliability.

For Corporates

Educate your workforce with new skills to improve their performance and productivity.

Corporate Training
"Leading Companies We've Served"
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Our Instructor
Name
Ms. Arthi
Experience
8+ Years
Specialized in
Agentic AI, LLM-based Agents, Multi-Agent Architecture, LangGraph, LangChain, RAG, MCP, AI Agent Orchestration, Tool Integration, and Production AI Solutions.
More Details
AI Multi-Agent Systems has worked in AI for 8 plus years. She focuses on Artificial Intelligence and Multi Agent Systems. This is by using LLMs and agent based setups and tool set includes LangChain, LangGraph, and RAG. She also works with MCP and plans out how agents run together. The goal is to ship multi agent apps that are ready for use in production.

AI Multi-Agent Systems Training Objectives

Our Best AI Multi-Agent Systems Training aims to empower participants with comprehensive skills and practical knowledge in this field. Objectives include mastering core concepts, applying skills through real-world projects, critical thinking, and tackling professional challenges. This enhances career development and contributes to industry advancement.

To understand the fundamentals of AI agents and develop intelligent multi-agent systems that can collaborate and solve complex tasks autonomously.

Participants will learn agent architecture, LLM-based reasoning, tool calling, memory, planning, decision-making, and autonomous workflows.

Yes. Participants will design and implement multiple collaborating agents using frameworks such as LangChain and LangGraph.

The training covers Agentic AI, LLMs, RAG, MCP, A2A concepts, APIs, vector databases, agent orchestration, and AI automation.

Yes. Participants will work on real-world projects such as research assistants, software-development agents, and intelligent business workflow automation.

They will be able to design, develop, evaluate, and deploy production-ready AI multi-agent solutions for real-world applications.

Job Assistance Program

Our Job Assistance Programme offers you special guidance through the course curriculum and helps in your interview preparation.

Specialised Curriculum
Get on-field knowledge and skills from our expert instructors.
Assessment
Upgrade your on-field skills with our assessments and track your progress in real time.
Hands-on Project
Our hands-on project help you gain experience in real-time working.
Certification Guidance
A global certificate always helps you stand out from the crowd.
Portfolio Building
Experts guide you to maximise your profile with current industry trends that employers expect.
Placment Cell
We promote your abilities and showcase your portfolio to employers.

AI Multi-Agent Systems Career Opportunity

Placement partners open up roles in AI, machine learning, data science, software work, and other fast growing fields. Because of links in the industry, learners can find openings, get help with interview practice, receive career advice, and put their AI multi agent system skills to use in real projects.

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Placement Guidance & Interview Preparation

Infibee’s placement guidance navigates you to your desired role in top organisations, ensuring you stand out and excel in every opportunity.

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I enrolled in the SAP ANALYTICS CLOUD course at Infibee Technologies and the classes were very well structured. The trainers possess industry experience and they delivered effective assistance with both resume creation and job placement services. This institution serves as the topmost educational center for SAP training courses.
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I recently completed the SAP CO-PA course at Infibee Technologies and had a great experience. The training quality was excellent, and the trainers were friendly, knowledgeable, and very supportive. They also provided valuable help with interview preparation and resume building, which boosted my confidence. With affordable fees and strong support, I highly recommend this institute for SAP training.
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I completed the Workday HR course at Infibee Technologies and the training was really helpful for my career growth. The trainers support students by providing simple explanations which include real-world examples of every topic. Highly recommended to join now.
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AI Multi-Agent Systems Training FAQ's

Infibee AI Multi-Agent Systems Classes offers wide range of services that suits for both fresher and experienced persons via both offline and online at your suitable time slots.

You need not worry about having missed a class. Our dedicated course coordinator will help them with anything and everything related to administration. The coordinator will arrange a session for the student with trainers in place of the missed one.

Yes, of course. You can contact our team at Infibee Technologies, and we will schedule a free demo or a conference call with our mentor for you.

We provide classroom, online, and self-based study material and recorded sessions for students based on their individual preferences.

Yes, all our trainers are industry professionals with extensive experience in their respective domains. They bring hands-on practical and real-world knowledge to the training sessions.

Yes, participants typically receive access to course materials, including recorded sessions, assignments, and additional resources, even after the training concludes.

We provide placement assistance to students, including resume building, interview preparation, and job placement support for a wide range of software courses.

Yes, we offer customisation of the syllabus for both individual candidates and corporate also.

Yes, we offer corporate training solutions. Companies can contact us for customised programmes tailored to their team’s needs.

Participants need a stable internet connection and a device (computer, laptop, or tablet) with the necessary software installed. Detailed technical requirements are provided upon enrollment.

In most cases, such requests can be accommodated. Participants can reach out to our support team to discuss their preferences and explore available options.

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