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Multi-Agent AI Development Training in Chennai

Rated 5 out of 5

Infibee Technologies offers India’s No.1 Multi-Agent AI Development Training in Chennai with industry-focused learning, global certification support, and placement-oriented guidance.

Kickstart your career with Multi-Agent AI Development Course in Chennai is guided by 12+ years of industry experienced experts with affordable fees, practical project experience and career development services. Students will acquire hands-on experience with AI agents, multi-agent systems, Generative AI, Large Language Models, agent orchestration, tool integration, agent communication, RAG and AI workflow automation.

Join our Multi-Agent AI Development Training Institute in Chennai and start your career with high paying job opportunities in top-tier companies.

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Multi-Agent AI Development Course Overview

Multi-Agent AI development is about creating AI setups with several agents working together on one larger job. You can set each agent up for a clear duty. Then a separate coordinator layer helps them talk to each other. It also handles how they share data. It supports plan making, tool use, and the actual running of tasks. The Multi-Agent AI Development Course in Chennai at Infibee Technologies introduces learners to the concepts and technologies involved in developing collaborative, intelligent AI applications.

Purpose of the Multi-Agent AI Development Course in Chennai

The purpose of the course is to provide practical knowledge of designing and developing multi-agent AI applications. Students have the opportunity to study AI agent architecture and Large Language Models (LLMs) and Generative AI and prompt engineering and agent communication and tool and function calling and RAG and memory and APIs and workflow orchestration and multi-agent coordination systems. Students need to practice through hands-on activities and projects which enable them to use these concepts for working with real-world AI applications.

Importance of Multi-Agent AI Development Course in Chennai

Students who learn these concepts will understand how AI agents work together to handle research tasks and customer support operations and software development projects and data analysis activities and content production processes and business process automation systems. The Multi-Agent AI Development Classes in Chennai offers students essential knowledge which enables them to study career paths that involve working with Agentic AI and Generative AI and LLM applications and AI engineering and AI automation and intelligent application development.

Course Topics Covered Applications Tools & Technologies
Multi-Agent AI Fundamentals Collaborative AI applications Python
AI Agent Architecture Intelligent task automation Large Language Models
Multi-Agent Coordination Complex workflow execution OpenAI APIs
Agent Communication Agent-to-agent collaboration Agent Frameworks
Prompt Engineering AI task execution Prompt Engineering
Tool & Function Calling API and tool integration REST APIs, Function Calling
Agent Memory Context-aware AI applications Vector Databases
Retrieval-Augmented Generation (RAG) Enterprise knowledge assistants Embeddings, Vector Search
Agent Planning Task decomposition and delegation LLM-based Planning
Agent Orchestration Multi-step AI workflows LangGraph
Generative AI AI-powered applications Generative AI Models
AI Agent Evaluation Testing and performance assessment Evaluation Frameworks
Deployment & Integration Production AI solutions Docker, Cloud Platforms
Practical Projects Real-world agentic AI use cases Git, Cloud AI Services

Why Choose Infibee Technologies for a Multi-Agent AI Development Course in Chennai?

Key Highlights

  • Multi-Agent AI Development-focused curriculum
  • Industry-oriented training
  • Practical programming skills
  • AI agent architecture
  • Multi-agent system development
  • Generative AI concepts
  • Large Language Models (LLMs)
  • Agent orchestration
  • Agent communication
  • Agent coordination
  • Prompt engineering
  • Tool and function calling
  • RAG implementation
  • Vector database concepts
  • API integration
  • AI workflow automation

Best Multi-Agent AI Development Training Institute in Chennai – Get Certified with Infibee Technologies

Infibee Technologies is among the Best Multi-Agent AI Development Training Institute in Chennai that provides industry-specific training to both students and professionals. The course aims to help learners gain knowledge about the collaboration and communication process between several AI agents and execution of complex processes by those AI agents. Along with the technical aspects of the course, learners will be given training for preparing interviews and careers in the domain, wherein they will learn about building their technical profiles.

The Multi-Agent AI Development Course in Chennai focuses on the importance of programming skills, application of AI in various industries, project-based learning, hands-on training, and industry-specific syllabus. Students will learn about AI agents, multi-agent architecture, LLMs, Generative AI, prompt engineering, agent orchestration, tool integration, RAG, APIs, memory, and AI workflow automation.

Trainer Experience

Infibee Technologies provides training supported by industry-experienced professionals, with its training information highlighting 12+ years of industry experience.

Real-Time Project Exposure

Practical projects help learners understand real-world AI agent development through agent coordination, tool integration, workflow design, API connectivity, and application building.

Certification / Company Background

Infibee Technologies is a Chennai-based technology training provider offering certification support for learners completing its technology-focused training programs.

Affordable Course Fees 

The course provides affordable fee options, enabling students and professionals to explore structured Multi-Agent AI Development training within their learning requirements.

Teaching Methodology 

Instructor-led sessions include practical knowledge, real time exercises, projects, doubt clarification, mock projects, and interview preparation for applied learning.

Certification

Infibee Technologies provides course-completion certification to learners who successfully complete the training, documenting their participation, learning, and practical exposure to Multi-Agent AI Development concepts and applications.

Modes of Multi-Agent AI Development Training in Chennai

  • Classroom Training
  • Online Training
  • Corporate Training
  • Self-Placed Training

Global Certifications Available for Multi-Agent AI Development Training in Chennai

S.No. Certification Code Cost Certification Expiry
1 Microsoft AI-103 – Azure AI Apps and Agents Developer Associate Approx. ₹15,800* 1 year
2 Google Professional Agentic Architect Approx. ₹11,500* beta price 1 year
3 Google Professional Machine Learning Engineer Approx. ₹19,100* Renewal required according to Google Cloud policy
4 Google Cloud Generative AI Leader Approx. ₹9,470* 3 years
5 AWS Machine Learning Engineer – Associate (MLA-C01 / MLA-C02) Approx. ₹7,200* beta / ₹14,350* standard 3 years

Who Can Join?

The Multi-Agent AI Development Course in Chennai can be useful for learners and professionals interested in developing AI agents and LLM-powered applications.

  • Computer Science and IT students
  • Engineering graduates
  • Software developers
  • Python developers
  • AI/ML engineers
  • Machine Learning professionals
  • Data scientists
  • Generative AI developers
  • LLM application developers
  • Backend developers
  • Cloud professionals
  • MLOps professionals
  • AI automation developers
  • Technology professionals transitioning into AI
  • Working professionals seeking agentic-AI skills
  • Entrepreneurs and technology enthusiasts exploring AI applications

Career Opportunities in Multi-Agent AI Development

Job Role Typical Responsibilities
AI Agent Developer Build and integrate AI agents for business and technical workflows
Agentic AI Engineer Develop autonomous AI applications with planning, reasoning, memory, and tool usage
Multi-Agent Systems Engineer Design communication, coordination, delegation, and orchestration between agents
Generative AI Engineer Build LLM-powered applications and enterprise GenAI solutions
LLM Application Developer Develop applications using LLMs, APIs, RAG, and AI frameworks
AI/ML Engineer Develop, deploy, and maintain AI and machine-learning solutions
AI Solutions Architect Design scalable architectures for AI and agentic-AI applications
RAG Engineer Build retrieval-augmented generation and enterprise knowledge systems
AI Automation Engineer Create AI-powered workflows and intelligent automation solutions
LLMOps / MLOps Engineer Deploy, monitor, evaluate, and maintain AI systems
AI Integration Engineer Integrate agents with APIs, databases, enterprise applications, and tools
AI Consultant Support organizations with AI solution design and implementation

Who’s Hiring Advanced Multi-Agent AI Development Professionals?

Current company career listings show organizations recruiting for roles involving Agentic AI, multi-agent systems, LLMs, RAG, AI orchestration, and AI engineering. Examples include:

  • Cognizant – Current listings include a Gen AI Engineer roles
  • Accenture – Current India listings include Agentic AI roles
  • HCLTech – Current listings include Agentic AI Engineer, Agentic Forward Deployed Engineer, and AI/ML roles
  • Wipro – Current listings include Agentic AI solution architecture and AI/ML positions
  • Cognizant / enterprise AI teams – Additional current Chennai listings

Can I Study Multi-Agent AI Development in Other Locations?

How to Register for the Multi-Agent AI Development Course in Chennai at Infibee Technologies?

Step 1 – Enquire About the Course

Contact Infibee Technologies to request the latest syllabus, course fees, batch schedule, duration, and available training modes.

Step 2 – Attend a Demo or Counselling Session

If a demo is available, attend the session to understand the curriculum, teaching methodology, projects, and learning structure.

Step 3 – Confirm Your Enrollment

Select your preferred available mode and batch, complete the registration process, and begin your Multi-Agent AI Development training.

Enroll Today: Unlock Your Multi-Agent AI Development Training in Chennai Potential

Contact Infibee Technologies to explore the Multi-Agent AI Development course, check upcoming batches, attend a demo if available, and plan your AI learning journey.

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Upcoming Multi-Agent AI Development Batches

[dateshortCodeCi day=' monday ' ]
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
[dateshortCodeCi day=' wednesday ' ]
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
[dateshortCodeCi day=' Friday ' ]
Sat-SunWeekend Batch
09:00 AM & 01:00 PM Batches(Class 2Hr - 4Hrs) / Per Session
Can't find a batch? Pick your own schedule

Multi-Agent AI Development Course Syllabus

The Multi-Agent AI Development course teaches you how to plan and build smart agents. These agents can work together, share messages, make decisions, and carry out tough goals on their own. In the class, you will use LLMs and Agentic AI. You will also work with LangChain and LangGraph. The course covers RAG, MCP, and tool setup. Common uses include research, automation, software work, and business process tasks.

  • Introduction to AI Agents and Agentic AI
  • LLM-based agent architecture
  • Agent reasoning, planning and decision-making
  • ReAct, reflection and tool-calling patterns
  • Context engineering and structured outputs
  • Single-agent vs. multi-agent systems
  • Building AI agents with Python
  • Tools, functions, APIs and external systems
  • Short-term and long-term memory
  • State and context management
  • Human-in-the-loop workflows
  • Error handling and autonomous task execution
  • Multi-agent roles and specialization
  • Agent communication and coordination
  • Sequential, parallel and hierarchical workflows
  • Supervisor and planner-worker architectures
  • Delegation, collaboration and consensus
  • Multi-agent design patterns
  • LangChain agent development
  • LangGraph nodes, edges and state
  • Stateful and cyclic workflows
  • Multi-agent orchestration
  • Supervisor and sub-agent patterns
  • Persistence, checkpoints and human approval
  • RAG fundamentals and advanced RAG
  • Vector databases and embeddings
  • Agentic retrieval and query routing
  • Multi-agent research systems
  • Memory + RAG integration
  • Building knowledge-based AI agents
  • Model Context Protocol (MCP)
  • MCP clients, servers, tools and resources
  • Connecting agents with databases, files and APIs
  • Remote MCP and enterprise tool integration
  • MCP Tasks and modern authorization concepts
  • Building MCP-enabled agents
  • A2A fundamentals and agent interoperability
  • Agent discovery and delegation
  • Agent-to-agent task communication
  • MCP vs. A2A
  • Cross-framework multi-agent systems
  • Distributed and enterprise agent architectures
  • Multi-agent research assistants
  • AI software development teams
  • Data-analysis agents
  • Customer-support agents
  • Business workflow automation
  • Autonomous decision-support systems
  • Agent evaluation and benchmarking
  • Observability, tracing and debugging
  • Hallucination and failure recovery
  • Prompt injection and tool-use security
  • Guardrails and access control
  • Cost, latency and scalability optimization
  • Production deployment and monitoring
  • Problem identification and architecture
  • Agent and workflow design
  • LLM + RAG + MCP integration
  • Multi-agent orchestration
  • Testing and evaluation
  • Deployment and monitoring
  • Final project presentation and demonstration
Need customized curriculum?
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Hands On Multi-Agent AI Development Projects

Enroll in our Multi-Agent AI Development Course, 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 AI Research Assistant

  • Build specialized agents for web research, information extraction, analysis, and summarization.
  • Implement RAG, memory, tool calling, and multi-agent task delegation.
  • Generate an automated research report with source validation and fact-checking.

Multi-Agent Software Development Team

  • Develop AI agents for requirements analysis, coding, debugging, testing, and code review.
  • Use a supervisor agent to coordinate tasks and manage the development workflow.
  • Integrate Git/API tools and implement automated testing and human approval.

Intelligent Business Workflow Automation System

  • Build collaborating agents to automate customer support, document processing, or business operations.
  • Integrate MCP tools, databases, APIs, memory, and RAG.
  • Implement workflow monitoring, error handling, evaluation, security, and production deployment.

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. Priya
Experience
9+ Years
Specialized in
Agentic AI, Multi-Agent Systems, LLMs, RAG, LangGraph & AI Automation.
More Details
Arthi is an experienced AI professional with 8+ years of expertise in Artificial Intelligence and Multi-Agent Systems. She specializes in Agentic AI, LLMs, RAG, LangGraph, MCP, and AI automation, with a strong focus on practical development and real-world applications.

Multi-Agent AI Development Training Objectives

During the sessions, you will work with LLM agents and learn how to connect more than one agent so they can work together. You will also cover RAG, LangGraph, and MCP. Tool linking is included, along with how to add memory and plan agent steps. At the end, you should be able to build multi agent systems that are ready to scale and can be used in production.

It is the process of building multiple AI agents that can communicate, collaborate, and perform tasks autonomously. The course focuses on developing practical multi-agent applications.

You will learn AI agents, LLMs, LangChain, LangGraph, RAG, MCP, memory, tool integration, and agent orchestration. The training emphasizes hands-on development.

Basic Python programming knowledge is recommended for this course. Familiarity with APIs and LLM concepts will be an added advantage.

Yes, the course includes hands-on projects such as AI research assistants, software development agents, and business automation systems. Projects help you apply concepts in practical scenarios.

The course covers Python, LangChain, LangGraph, RAG, MCP, LLM APIs, vector databases, and modern agentic AI workflows. The technology stack is aligned with current AI development practices.

Learners can pursue roles such as AI Engineer, Generative AI Developer, Agentic AI Developer, and LLM Application Developer. The skills are also useful for building enterprise AI automation solutions.

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.

Multi-Agent AI Development Career Opportunity

Our placement partners link trained people with job openings in AI and related work, including Generative AI and Agentic AI, plus software development roles. Learners get help along the way, like job leads, interview practice, career advice, and training that matches what the industry needs. The goal is to support learners as they work toward strong careers in Multi-Agent AI Development.

Annual Pay Scale
Placement Designation
Employers
Annual Salary
Hiring Companies

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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Multi-Agent AI Development Training FAQ's

Infibee Multi-Agent AI Development Training 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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