---
url: "https://xcademia.com/courses/agentic-ai-with-langgraph-crewai"
title: "Agentic AI with LangGraph & CrewAI"
description: "Agentic AI with LangGraph & CrewAI Training | Multi-Agent Systems
Meta Description: Learn multi-agent AI systems, LangGraph workflows, CrewAI orchestration and "
publishedAt: "2026-03-20T11:39:27.554928+00:00"
updatedAt: "2026-03-30T22:50:53.7265+00:00"
type: course
code: "FSE-0047"
level: Professional
duration_days: "4"
track: "AI Agents & Multiagent Systems "
category: "AI, Data & Analytics"
credential_tier: tier1
price_gbp: "2199"
---

# Agentic AI with LangGraph & CrewAI

> Design and orchestrate advanced AI agent systems using modern frameworks and architectures. Focuses on multi-agent coordination, reliability, and production-ready deployments. Target roles: AI engineers, ML engineers, automation architects, product engineers

## Overview

Agentic AI systems are enabling organisations to move beyond single-model automation towards coordinated, multi-agent workflows that can plan, reason, and act. Frameworks such as LangGraph and CrewAI provide the structure needed to design reliable and scalable agent-based systems.

This programme focuses on advanced agent orchestration, including LangGraph state machines, CrewAI role-based agent design, and human-in-the-loop workflows. Participants learn how to build systems where multiple agents collaborate, manage state, and execute complex tasks across business processes.

Delivered as a mentor-led programme using practical scenarios, this course equips participants to design, deploy, and manage production-ready agent systems with a focus on reliability, observability, and real-world application.

## Prerequisites

- Experience with AI or machine learning concepts.
- Familiarity with APIs or automation workflows.
- Basic programming knowledge recommended.

## What you will learn

- Analyse multi-agent system architectures
- Design LangGraph-based workflows
- Implement CrewAI agent collaboration models
- Evaluate orchestration patterns and performance
- Communicate system design and logic clearly
- Lead deployment of production-ready agent systems

## Skills you will gain

- Multi-agent orchestration
- LangGraph state machines
- CrewAI agent design
- Human-in-the-loop workflows
- AI system deployment
- Workflow reliability optimisation

## Career progression

- AI Engineer
- ML Engineer
- Automation Architect
- AI Product Engineer
- Solutions Architect

## Curriculum

1. **Module 1: Foundations of Agentic AI Systems**
   - Evolution from single agents to multi-agent systems
   - Agent roles, planning, and coordination
   - Overview of LangGraph and CrewAI
2. **Module 2:  LangGraph State Machines**
   - Designing stateful agent workflows
   - Graph-based orchestration patterns
   - Managing memory and transitions
3. **Module 3: CrewAI Role-Based Agent Design**
   - Defining agent roles and responsibilities
   - Task delegation and collaboration
   - Communication between agents
4. **Module 4: Multi-Agent Orchestration Patterns**
   - Sequential and parallel workflows
   - Tool usage and integration patterns
   - Managing dependencies and execution flow
5. **Module 5: Human-in-the-Loop Systems**
   - Integrating human feedback and approvals
   - Escalation and intervention design
   - Balancing automation and control
6. **Module 6: Reliability, Monitoring and Debugging**
   - Observability and logging
   - Handling failures and retries
   - Performance optimisation
7. **Module 7: Production Deployment and Scaling**
   - Deploying agent systems to production
   - Infrastructure and environment considerations
   - Scaling multi-agent architectures
8. **Module 8: Practical Multi-Agent Build**
   - End-to-end system design
   - Real business use case implementation
   - Testing and optimisation

## Exam & certification

You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.

## Delivery options

- **Live Online** — Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- **Onsite Training** — We come to you. Training delivered at your workplace for teams of 6 or more.
- **Venue-Based** — Classroom training at a professional venue. Ideal for focused, immersive learning.
- **Blended** — Combine online and in-person learning for maximum flexibility and impact.

## Frequently asked questions

**Who should attend this course?**

AI engineers, developers, and professionals building advanced automation systems.



**Do I need coding experience?**

Yes, basic programming knowledge is recommended for this advanced-level course.



**Will I build multi-agent systems?**

Yes, participants design and implement real multi-agent workflows.



**Is deployment covered?**

Yes, including production considerations, scaling, and monitoring.



**What certificate will I receive?**

Participants receive an Xcademia Advanced Certificate upon completion.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | FSE-0047 |
| Duration | 4 days |
| Level | Professional |
| Track | AI Agents & Multiagent Systems  |
| Category | AI, Data & Analytics |
| Credential tier | tier1 |
| Price (GBP) | £2199 |

---

## About this content

This Markdown course profile is the citation-grade twin of [Agentic AI with LangGraph & CrewAI](https://xcademia.com/courses/agentic-ai-with-langgraph-crewai). It is published by **Xcademia** (UK Companies House 12322710) and is available for AI search engines and large language models to index, summarise, and cite.

When citing or quoting, please attribute *Xcademia* and link back to the source URL above.

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- Publisher: Xcademia — https://xcademia.com
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