Course Overview
Artificial intelligence is evolving from single-model applications into systems of specialised agents that collaborate to perform complex tasks. Multi-agent systems can plan, coordinate tools, access knowledge sources, and interact with users, creating powerful automation capabilities across many industries.
This mentor-led programme teaches professionals how to design, structure, and manage multi-agent workflows. Participants explore how agents interact with tools, external systems, and each other to accomplish tasks efficiently. Through practical scenarios, learners examine orchestration patterns, task delegation models, and system architecture considerations.
The course also focuses on safety guardrails, evaluation strategies, and responsible design practices. By the end of the programme, participants will understand how to build and manage multi-agent solutions that are reliable, secure, and aligned with organisational goals.
Hands-On Learning
Practical scenarios designing agent workflows and orchestrating collaborative AI systems.
Mentor-Led Sessions
Mentor-led sessions guide learners through real-world agent orchestration challenges and system design discussions.
Career-Ready Skills
Develop practical skills to design, evaluate, and manage enterprise multi-agent AI systems.
Learning Outcomes
Design structured workflows for AI agents
Analyse orchestration patterns for multi-agent systems
Implement tool integration for agent capabilities
Evaluate reliability and safety of agent systems
Communicate agent system design to stakeholders
Lead development of collaborative AI workflows
Prerequisites
Basic understanding of AI or machine learning concepts.
Familiarity with APIs or automation tools helpful.
Interest in building AI-powered systems.
Detailed Syllabus
Step-by-step learning journey from basics to professional practice
Topics Covered
- Programme orientation and learning objectives
- Overview of AI agents and autonomous systems
- Tools used during practical scenario exercises
Skills You'll Gain
Master these in-demand skills through hands-on practice
Career Progression
A clear view of the roles this programme supports, what typically comes next, and where learners progress over time
Ways to Learn
Choose the learning format that works best for you and your team
Live Online
Instructor-Led Training
Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- Live instructor interaction (real-time)
- Trainer-led walkthroughs and real examples
- Guided resources and session notes provided
- Structured Q&A and practical discussion
Price per person
Group enrolments and early planning options available.
All prices are exclusive of VAT where applicable. Group enrolments and custom packages available on request.
Prefer a Faster, Personalised Route into IT?
Not everyone learns best in a group. If you want focused guidance, faster clarity, and confidence you can use on the job, our 1-to-1 Fast-Track Training gives you private, mentor-led support tailored to your experience and goals.
"Many learners choose 1-to-1 when they want understanding, not memorisation."
Exam & Certification Information
Everything you need to know about the certification exams
Important Information
You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.
Credential
Certificate of Completion
On successful completion of Multiagent Systems Builder, learners receive an Xcademia Certificate of Completion. This standalone certificate is issued directly by Xcademia and is aligned with globally recognised frameworks and best practices.
Frequently Asked Questions
Everything you need to know about this course
A multi-agent system consists of several specialised AI agents that collaborate to complete tasks.
Ready to Start Your Learning Journey?
Take the next step in your professional development