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Multi-Agent Systems

Live Online (VILT) & Classroom Corporate Training Course

Design multi-agent AI systems in which specialized agents communicate, coordinate, delegate tasks and collaborate through sequential, parallel and hierarchical workflows.

Expert-Led VILT & Classroom 12 Hours Level: Advanced Certificate of Completion
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Overview

Design multi-agent AI systems in which specialized agents communicate, coordinate, delegate tasks and collaborate through sequential, parallel and hierarchical workflows.

What You Will Learn

By the end of this course, learners will be able to:

  • Explain the fundamentals and architecture of Multi-Agent AI systems.
  • Distinguish when a single-agent or multi-agent architecture is more appropriate.
  • Design specialized agent roles with clear responsibilities and boundaries.
  • Implement communication, coordination and task-delegation patterns.
  • Design supervisor-based, sequential, parallel and hierarchical agent workflows.
  • Manage shared memory, state synchronization and context between agents.
  • Evaluate individual agent performance and overall system effectiveness.
  • Build and demonstrate a collaborative multi-agent research system.

Prerequisites

Working knowledge of Python, LLMs, AI agents, tool/function calling and basic agent workflows is recommended.

Course Outline

  • What is a Multi-Agent AI System?
  • Evolution from Single Agents to Multi-Agent Systems
  • Core Principles of Multi-Agent Collaboration
  • Why Use Multiple Agents?
  • Agent Specialization
  • Multi-Agent System Use Cases
  • Benefits and Limitations
  • Multi-Agent System Design Considerations

  • Single-Agent Architecture
  • Multi-Agent Architecture
  • Comparing Single-Agent and Multi-Agent Systems
  • Task Decomposition and Agent Specialization
  • When to Use a Single Agent
  • When to Use Multiple Agents
  • Complexity, Latency and Cost Trade-offs
  • Architecture Selection Guidelines

  • Defining Agent Roles
  • Specialized vs General-Purpose Agents
  • Role Instructions and Capabilities
  • Agent Responsibilities and Boundaries
  • Researcher, Analyst, Planner and Writer Roles
  • Tool Access by Agent Role
  • Designing Clear Agent Interfaces

  • Agent-to-Agent Communication
  • Message-Based Communication
  • Shared Context and Information Exchange
  • Communication Protocols
  • Coordination Strategies
  • Passing Tasks and Results Between Agents
  • Conflict Resolution
  • Preventing Communication Loops
  • Reliable Agent Coordination

  • Supervisor-Based Multi-Agent Architecture
  • Supervisor Responsibilities
  • Agent Routing and Selection
  • Task Delegation
  • Breaking Complex Tasks into Subtasks
  • Delegating to Specialized Agents
  • Collecting and Aggregating Results
  • Supervisor Decision Logic
  • Handling Agent Failures

  • Sequential Multi-Agent Workflows
  • Sequential Agent Handoffs
  • Parallel Multi-Agent Workflows
  • Parallel Task Execution
  • Synchronization and Result Aggregation
  • Hierarchical Agent Architectures
  • Parent and Child Agents
  • Workflow Dependencies
  • Conditional Routing
  • Designing Efficient Multi-Agent Workflows

  • Why Multi-Agent Systems Need Shared State
  • Shared Memory Concepts
  • Agent-Specific vs Shared Memory
  • State Synchronization
  • Context Sharing
  • Persistent State
  • Memory Consistency and Conflict Handling
  • Managing Shared Information Safely

  • Why Evaluate Multi-Agent Systems?
  • Defining System-Level Success Criteria
  • Individual Agent Performance
  • Task Completion and Success Rate
  • Agent Coordination Quality
  • Tool Usage and Delegation Accuracy
  • Workflow and Trajectory Evaluation
  • Latency and Cost Evaluation
  • Human and Automated Evaluation

  • Define the Research Problem
  • Design the Multi-Agent Architecture
  • Define Agent Roles and Responsibilities
  • Build the Supervisor Agent
  • Implement Researcher Agents
  • Implement Analyst and Synthesis Agents
  • Configure Agent Communication
  • Implement Task Delegation
  • Build Sequential Research Workflows
  • Build Parallel Research Workflows
  • Implement Shared State and Context
  • Aggregate and Validate Agent Results
  • Generate the Final Research Report
  • Evaluate Individual Agents and the Overall System
  • Optimize the Multi-Agent Workflow
  • Final Demonstration

The Synergific Advantage

Why enterprise teams pick Synergific.

Authorised curriculum is the floor — not the differentiator. What sits above it is what gets renewed.

500+Enterprises served
50+OEM partnerships
1,100+Exam vouchers
< 4 hSolutions reply
01

Live Hands-On Cloud Labs

Every course ships with 24/7 access to production-grade AWS, Azure, GCP and OCI environments. Real consoles, real workloads, the bills handled by us.

→ 02

Hire-Train-Deploy

We source, train, and deploy certified engineers on your project. Single contract, billable from week one, replacement guarantee on attrition.

→ 03

Four-Hour Solutions SLA

Direct line to a senior solutions advisor — not a ticket queue, not an offshore desk. Reply within four business hours, every time.

→ 04

Voucher-Backed Certification

1,100+ exam vouchers from 50+ OEMs at enterprise pricing. Most certifications include retake protection — success measured after the exam.

→ 05

Authorised Curriculum, Local Delivery

Microsoft Solutions Partner, AWS APN, Red Hat, Cisco, Oracle, EC-Council, PECB and more. Exact official content delivered with our trainers, our labs, our SLA.

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Available Training Modes

Pick the format that fits your team.

Same authorised curriculum, same trainers, same hands-on cloud labs — delivered the way that works for you.

Live Online (VILT)

Real-time instructor-led sessions over Zoom or Teams. Same classroom, different time zones.

Most popular

Classroom

Face-to-face training delivered at your office, our Bengaluru centre, or any partner venue worldwide.

Onsite

Self-Paced

Recorded sessions plus 24/7 access to cloud labs and assessments. Learn at the pace that works for each engineer.

On-demand

Blended

Live workshops with self-paced reinforcement and project-based labs. Best for hybrid teams across regions.

Hybrid teams
All modes include: hands-on cloud labs, recordings, assessments, certificate of completion. Talk to a solutions advisor →

Our Training Process

How a course becomes measurable skill.

One contract, five steps, zero handoffs. From discovery to deployment, the same Synergific team owns the outcome — not a chain of vendors.

5 Steps from your scoping call to certified, productive engineers.
01

Discover & set goals

We start with a scoping call to understand your team's current skill level, target outcomes, deadlines, and certification needs — then translate that into a measurable success plan with named owners on both sides.

02

Curate the right path

We map the optimal learning path — instructor-led, self-paced, or blended — with hands-on cloud labs, prerequisite refreshers, and certification vouchers built in. No filler modules, no padded curriculum.

03

Deliver hands-on training

Authorised trainers run live sessions backed by 24/7 cloud labs and real-world projects. Theory and practice on the same day — learners stop forgetting concepts before they get to apply them.

04

Assess & mentor

Continuous skill checks, mock exams, and 1:1 mentoring keep the program honest. If anyone falls behind, we course-correct in-flight — you'll never find out at the end that two engineers couldn't keep up.

05

Certify & apply on the job

Voucher-backed certification, post-training office hours, and 30-day reinforcement so skills land on real work — not just on the exam scorecard. Success measured after the course ends, not before.

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