Multi-Agent AI Development Training

Rated 5 out of 5

Infibee Technologies offers India’s Industry oriented Multi-Agent AI Development Training with Global Certification and job placement assistance.

Begin your career with Multi-Agent AI Development Course is guided by 13+ year of Industry experienced experts with practical knowledge through hands-on projects, case studies and assignments. Our Course offers affordable fees, Mock Projects, Resume preparation, Interview Training and Placement Assistance. Furthermore, you have the opportunity to access the recorded sessions of our live classes for life.

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

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Multi-Agent AI Development Course Overview

Introduction of the Multi-Agent AI Development Training

Multi-agent AI is an advanced form of artificial intelligence where the goal is to create a system that comprises of multiple AI agents to solve a given problem. Agents in a multi-agent system communicate and co-ordinate to achieve a given goal. Currently, the scope of multi-agent systems is increasing and thus intelligent systems that comprise of automated reasoning and interactive-cooperative-user interfaces can be developed using multi-agent systems.

Purpose of Multi-Agent AI Development Training:

Multi-agent systems comprise of multiple collaborative AI agents. The aim of this course is to assist learners to identify various methods, strategies and frameworks that are essential in designing collaborative AI agents. The course covers various agents and their communication methods, tools and frameworks, as well as, other services and platforms that are essential in creating intelligent systems.

Importance of the Multi-Agent AI Development Courses

Knowledge of Multi-Agent AI Development Classes can benefit students, professionals and so on, in various fields interested in learning latest trends of AI. Developing skills in applying Multi Agent Systems will help in many domains such as development of intelligent automated systems, customer support, research assistance systems, software development assistance systems, process automation systems and other systems.

Course Topics Covered Applications Tools & Technologies
Introduction to AI Agents & Multi-Agent Systems Intelligent Automation Python
Agent Architecture & Design AI Assistants LangChain
Agent Communication & Collaboration Customer Support Automation LangGraph
Prompt Engineering Research Assistants AutoGen
Memory & Context Management Software Development Assistants CrewAI
Tool & API Integration Business Process Automation OpenAI APIs
Workflow Orchestration Content & Data Workflows APIs & SDKs
RAG & Knowledge Integration Knowledge-Based Applications Vector Databases
Agent Testing & Evaluation Enterprise AI Solutions Git & GitHub
Deployment & Monitoring Concepts Autonomous AI Workflows Cloud Platforms

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

  • Industry-experienced trainers
  • Practical, hands-on learning
  • Multi-Agent AI concepts and architectures
  • Real-world project exposure
  • Mock project development
  • Prompt engineering training
  • Agent workflow development
  • Tool and API integration
  • RAG and knowledge integration
  • LangChain and LangGraph learning
  • CrewAI and AutoGen concepts
  • Python-based AI development
  • Resume preparation support
  • Interview preparation
  • Placement-oriented training

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

Infibee Technologies is one of the leading Multi-Agent AI Development Classes, offering widely appreciated and industry focused skill development training for students and working professionals. Multi Agent System training offered by Infibee covers areas such as Real Time Application Development of AI Systems, Complex Programming and Projects. The main idea of the training is to enable the participants in understanding the concept of designing AI Systems and Agents, integrating the systems with available tools and APIs, and orchestrating the Agents for various business and IT systems.

The Multi-Agent AI Development Course encompasses various tools and systems available for developing AI systems and agents, and various frameworks. Other than academic training, participants are trained on various soft skills such as Preparing for Job Interviews and writing Resumes. Infibee Technologies has training and development offerings for students, working professionals, and companies. Training can be instructor-led, and include workshops, projects, exercises, clarification of developmental doubts, and/or practice sessions for job interviews. The goal is to facilitate development of trainees in the field of AI and continue to strengthen their technical and professional development.

Training Personnel

Personnel deliver training and development sessions on a variety of AI tools and applications, and projects. Personnel also deliver training on agent-based programming.

Training and Development Opportunities

Through Multi-Agent AI Development Classes, personnel gain the skills necessary to develop AI agents, and learn integration and deployment concepts.

Affordable Fee

Infibee Technologies offers training and development sessions at a affordable cost, and incorporates technical training, projects and exercises, and develops trainees’ professional skills.

Teaching and Learning

Personnel utilize varying teaching methodologies and delivery styles including projects, exercises, and practitioner sessions.

Modes of Multi-Agent AI Development Training

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

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

S. No. Certification Code Cost (Approx. INR) Certification Expiry
1 AI-500 – Microsoft Designing and Implementing Multi-Agent AI Solutions (Beta) ₹15,807 ($165) Microsoft Expert certification; annual renewal applies
2 GH-600 – GitHub Certified: Agentic AI Developer ₹15,807 ($165) Annual renewal applies
3 AB-620 – Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio ₹15,807 ($165) Annual renewal applies
4 AWS Certified AI Practitioner ₹9,580 ($100) 3 years
5 Google Cloud Generative AI Leader ₹9,484 ($99) 3 years

Who Can Join?

The Multi-Agent AI Development Course can be suitable for:

  • Students pursuing Computer Science, IT, AI, Data Science, or related degrees
  • Recent graduates looking to enter AI development
  • Python developers interested in AI and agentic applications
  • Software developers transitioning into Generative AI
  • Machine Learning and AI professionals expanding into agentic systems
  • Data Scientists interested in LLM and AI-agent applications
  • Backend developers working with APIs and AI integrations
  • Cloud and DevOps professionals exploring AI workloads
  • Automation professionals moving toward AI-based solutions
  • Technical professionals seeking practical AI development skills
  • Entrepreneurs and technology enthusiasts interested in AI applications
  • Working professionals seeking to build or update their AI skill set

Basic programming knowledge, can be useful for learners pursuing the development-focused portions of the course.

Career Opportunities in Multi-Agent AI Development

Job Role Typical Focus
AI Engineer Develop and integrate AI-powered applications and systems
Generative AI Engineer Build applications using LLMs and generative AI technologies
AI Agent Developer Design, develop, and integrate autonomous AI agents
Agentic AI Engineer Build agentic workflows, tool use, memory, and orchestration
Multi-Agent Systems Developer Develop systems where multiple agents collaborate on tasks
LLM Application Developer Build production applications around large language models
AI Solutions Architect Design scalable AI and agent-based solutions
Machine Learning Engineer Develop, deploy, and maintain machine-learning systems
LLMOps / AI Platform Engineer Support deployment, monitoring, evaluation, and operation of AI systems
AI Automation Engineer Apply AI agents and intelligent automation to business workflows
Conversational AI Developer Build intelligent conversational and assistant applications
AI Research Engineer Investigate and implement advanced AI techniques

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

Organizations across technology services, consulting, enterprise software, and AI are developing or recruiting for roles involving Agentic AI, Generative AI, AI engineering, and AI platforms. Examples include:

  • Capgemini — current 2026 postings include Agentic AI leadership roles involving multi-agent orchestration, LangGraph, CrewAI, Microsoft AI technologies, and enterprise AI.
  • Wipro — a current AI/ML engineering posting references agent development with Python, LangChain, AutoGen/ADK, vector databases, LLMs, and RAG.
  • IBM — maintains dedicated AI and watsonx career opportunities, including AI Engineer, backend developer, and DevOps roles associated with enterprise AI.
  • Accenture — AI and Generative AI engineering roles are part of its technology and consulting hiring areas.
  • Infosys — hires across AI, Generative AI, cloud, data, and software engineering functions.

Job openings and requirements change frequently, so candidates should review the individual employer’s current careers pages before applying.

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

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

Step 1 – Contact Infibee Technologies

Enquire about the Multi-Agent AI Development Training, upcoming batches, syllabus, fees, and available training modes.

Step 2 – Attend a Demo or Counselling Session

If a demo is available, attend it to understand the teaching approach, course structure, projects, and learning requirements.

Step 3 – Complete Enrollment

Select the suitable batch and training mode, complete the registration process, and begin the course according to the scheduled training plan.

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

Interested learners can contact Infibee Technologies to explore the Multi-Agent AI Development Course, ask about upcoming batches, attend a demo if available, and understand the available learning options.

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Why People Choose Infibee ?

Upcoming Multi-Agent AI Development Batches

21-09-2026
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
23-09-2026
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
25-09-2026
Sat-SunWeekend Batch
09:00 AM & 01:00 PM Batches(Class 2Hr - 4Hrs) / Per Session
Can't find a batch? Pick your own schedule

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?
Build Resume & Get PlacedPlacement Support With Resume Preparation & Interview Guidance

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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