Advanced Multi-Agent Orchestration
Master advanced multi-agent orchestration with CrewAI & AutoGen. Design, coordinate, and scale intelligent agent systems for real-world automation and enterprise AI workflows
Level
Advanced
Duration
8 Weeks
Placement Client
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About Advanced Multi-Agent Orchestration
Advanced Multi-Agent Orchestration (CrewAI & AutoGen Expert) is a specialized course focused on building scalable and intelligent multi-agent systems for real-world applications. It teaches how to design, coordinate, and manage autonomous AI agents using CrewAI and AutoGen frameworks. The training covers agent collaboration, task orchestration, memory handling, and decision-making workflows. Learners gain hands-on experience creating enterprise-grade AI automation pipelines. This course is ideal for AI developers, architects, and engineers working with complex LLM-driven systems. It helps professionals strengthen their expertise in advanced multi-agent orchestration and modern AI development.
Training Plan
About trainer
Working professional who is carrying more then 10 years of industry experience.
Decks & Updated Content
Access to updated presentation decks shared during live training sessions.
e-Book
E-book provided by TechPratham. All rights reserved.
Assignments & MCQs
Module-wise assignments and MCQs provided for practice.
Video Recording
Daily Session would be recorded and shared to the candidate.
Projects
Live projects will be provided for hands-on practice.
Resume Building
Expert-guided resume building with industry-focused content support.
Interview Preparation
Comprehensive interview preparation with real-time scenario practice.
Advanced Multi-Agent Orchestration
Course Curriculum
Foundations of Artificial Intelligence
Learn the core concepts of applied and agentic AI, including intelligent systems, real-world use cases, and modern AI architectures.
Python for Applied AI Development
Build a strong Python foundation for AI development, data processing, automation, and scalable application design.
Machine Learning & Deep Learning Essentials
Understand and implement machine learning and deep learning models for real-world prediction and decision-making tasks.
Generative AI & Large Language Models (LLMs)
Explore LLMs, prompt engineering, embeddings, and generative AI techniques to build intelligent applications.
Agentic AI & Autonomous Systems
Learn how to design autonomous AI agents capable of planning, reasoning, and executing tasks independently.
Multi-Agent Orchestration & Collaboration
Master coordination, communication, and workflow orchestration across multiple AI agents in complex systems.
Agentic Ai Courses
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Who Should Take Advanced Multi-Agent Orchestration
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Working Professionals
Ops/Administrators/HR
Developers
BA/QA Engineers
Cloud / Infra
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Job Roles For Advanced Multi-Agent Orchestration
Enterprise AI Automation Specialist
AI Systems Integration Engineer
Autonomous AI Workflow Engineer
LLM Solutions Architect
AutoGen AI Engineer
CrewAI Developer
AI Orchestration Architect
Multi-Agent Systems Engineer
Enterprise AI Automation Specialist
AI Systems Integration Engineer
Autonomous AI Workflow Engineer
Key Projects
<p>Advanced Multi-Agent Orchestration</p>
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Workday – HR Multi Agent Orchestrator
Scenario: Advanced multi agent system orchestrating HR agents to analyze requests coordinate actions execute workflows validate data and self optimize decisions across HR ops
Live Work:
- Designed agent roles and task routing
- Orchestrated agents using CrewAI
- Implemented feedback based execution
Microsoft – Enterprise AI Agent Crew
Scenario: Multi agent orchestration platform coordinating IT agents for diagnostics resolution planning and execution while adapting decisions using shared memory
Live Work:
- Built AutoGen agent communication
- Enabled goal driven agent execution
- Tuned inter agent collaboration logic
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Salesforce – Sales Agent Command Hub
Scenario: Orchestrated multiple sales agents to research leads assign priorities generate actions collaborate dynamically and optimize pipelines using agent consensus logic
Live Work:
- Defined agent hierarchy and control
- Automated decisions via agent debate
- Integrated CRM actions with AI agents
UiPath – Intelligent Automation Crew
Scenario: Advanced agent orchestration solution combining AI agents and bots to decide execute validate and improve business processes through autonomous coordination
Live Work:
- Linked AI agents with UiPath bots
- Implemented decision driven execution
- Enabled self correction across agents
Placement Process
Live Class with Industry Use Cases
- Interactive learning
- Real-world examples
- Expert guidance
- Doubt resolution
Daily Assignment & Weekly Assessments
- Hands-on practice
- Concept reinforcement
- Weekly evaluation
- Timely feedback
Project Testing & Deployment
- Project development
- Testing practice
- Deployment exposure
- Portfolio creation
Interview Preparation (Mock, PD, Alumni Session)
- Mock interviews
- Personal development
- Alumni guidance
- Confidence building
Resume Building
- Resume crafting
- Industry-focused format
- Skills highlighting
- Professional presentation
Placement
- Job assistance
- Interview support
- Career guidance
- Opportunity access
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