When does class start/end?
Class hours may vary, please reach out to contact@ascendientlearning.com if you have any questions.
Orchestrating Multi-Agent AI Ecosystems
Orchestrate multi-agent AI systems through coordination, learning, and production deployment. Multi-agent systems and coordination cover the pros and cons of multi-agent designs, communication...
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$2,000USD
Duration
2 days
Course Code
GAI-3103
Available Formats
Classroom
Overview
Course Description
Orchestrate multi-agent AI systems through coordination, learning, and production deployment. Multi-agent systems and coordination cover the pros and cons of multi-agent designs, communication challenges and protocols, conflict resolution and coherence, the centralized/decentralized/distributed coordination spectrum, and coordination mechanisms across auctions, negotiation, and voting. Learning and adaptation cover reinforcement and supervised learning, the role of feedback, self-learning as a core agentic feature, adaptation as self-directed change, the challenges of adaptation in complex environments, and multi-agent collaborative adaptation. Building, deploying, and scaling agentic AI cover multi-agent application design, enterprise architecture patterns, the prototype-to-production transition, deployment strategies across on-premise, cloud, and edge, containerization and orchestration, scaling challenges, monitoring, and cost optimization. Security, safety, robustness, and governance cover threats specific to agentic AI, increased consequences of multi-agent breaches, safe operation at scale, robustness, responsibility-sharing across agents, audit trails and explainability, and incident response. Hands-on labs produce a multi-agent system, a Reflexion-based self-improving agent, a production customer-service agent deployed to the cloud, and a multi-agent security oversight design. The course is designed for software developers, data scientists, and AI/ML engineers with prior single-agent experience.
Skills Gained
By the end of this course, participants will be able to:
- Configure multi-agent systems with effective coordination mechanisms
- Integrate learning plus adaptation capabilities into agentic AI systems
- Deploy agentic AI applications to production with enterprise-grade reliability
- Implement security, safety, plus robustness measures for production agentic systems
- Monitor agentic AI applications across real-world environments
- Apply governance plus compliance frameworks to agentic AI deployments
Who Can Benefit
This course is designed for:
- Software Developers
- Data Scientists
- AI/ML Engineers
Prerequisites
Participants should enter this course with:
- Single-agent development experience (GAI-3101 or equivalent)
- Practical Python programming experience
- Experience developing complex software systems
Organizational Objectives
This course assists organizations to:
- Reduce production incidents through tested security and robustness patterns for multi-agent systems
- Lower operational risk through deliberate cloud and edge deployment patterns plus monitoring
- Establish governance and compliance hooks that scale with agentic AI deployment
- Build a working multi-agent operations discipline across engineering teams
Software
All attendees must have a modern web browser and an Internet connection.
Course Details
Course Details
Multi-Agent Systems and Coordination
By the end of this module, you will be able to define multi-agent systems, recognize their pros and cons, choose between centralized, decentralized, and distributed coordination, and apply coordination mechanisms (auctions, negotiation, voting) to a real workflow.
- Defining multi-agent systems and their pros and cons
- Communication protocols and their challenges
- Coordination, conflict resolution, and coherence
- Types of coordination — centralized, decentralized, distributed
- Coordination mechanisms — auctions, negotiation, voting
- Advanced multi-agent patterns and architectures
- Hands-on Lab: Build a simple multi-agent system with deliberate coordination mechanisms and an end-to-end workflow.
Learning and Adaptation in Agentic AI
By the end of this module, you will be able to apply reinforcement and supervised learning patterns to agents, structure feedback loops, design self-learning behaviour, and recognize the challenges of adaptation in complex environments.
- Overview of learning in agentic AI
- Learning mechanisms — reinforcement, supervised
- Role of feedback in agent learning
- Self-learning and adaptation as core agentic features
- Challenges of adaptation in complex environments
- Multi-agent learning and collaborative adaptation
- Hands-on Lab: Implement Reflexion-style agentic learning and adaptive behaviour in a multi-agent system.
Building and Deploying Agentic AI Applications
By the end of this module, you will be able to design multi-agent AI applications, apply enterprise architecture patterns, move from prototype to production through containerization and orchestration, and operate the resulting systems at scale.
- Designing multi-agent AI applications and enterprise architecture patterns
- Moving from prototype to production
- Deployment strategies — on-premise, cloud, edge
- Containerization and orchestration of agent systems
- Monitoring, maintenance, and scaling of agentic AI applications
- Cost optimization and resource management
- Hands-on Lab: Build a production customer-service agent system and deploy it to the cloud with monitoring and health checks.
Security, Safety, and Robustness of Agentic Systems
By the end of this module, you will be able to recognize security threats in agentic AI, ensure safe agent operation at scale, design robustness for multi-agent systems, share responsibility across agents, and apply governance and compliance frameworks for production systems.
- Security threats in agentic AI and consequences of multi-agent breaches
- Ensuring safe agent operation at scale and key safety issues
- Ensuring robustness in multi-agent AI systems
- Sharing responsibility across agents
- Governance and compliance for production systems
- Audit trails, risk management, and incident response
- Hands-on Lab: Implement security oversight, robustness evaluation, and compliance/audit capabilities in a multi-agent system.
Schedule
FAQ
Does the course schedule include a Lunchbreak?
Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.
What languages are used to deliver training?
Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.
What does GTR stand for?
GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.
How do I find an Ascendient Learning training location?
We have training locations across the United States and Canada - View a complete list of classroom training locations.
Which delivery formats are available?
At Ascendient Learning, we offer training that is Instructor-Led, Online, Virtual, and Self-Paced.
Does Ascendient Learning deliver group training?
Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.
What does vendor-authorized training mean?
As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.
Is the training too basic, or will you go deep into technology?
It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.
How up-to-date are your courses and support materials?
We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.
Are your instructors seasoned trainers who have deep knowledge of the training topic?
Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.
Do you provide hands-on training and exercises in an actual lab environment?
Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.
Will you customize the training for our company’s specific needs and goals?
We will work with you to identify training needs and areas of growth. We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.
How do I get started with certification?
Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.
Will I get access to content after I complete a course?
You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.
How do I request a W9 for Ascendient Learning?
View our filing status and how to request a W9.
Reviews
the class/lecture was amazing and very easy to understand and was in detail.
Very good couse and again we would like to see more videos on removing FRUs
Simply great training provider that I can go for updating/acquiring my skill sets.
ExitCertified gave a great course on AWS that covered all of the basics in depth with good lab materials.
The format of the class was concise. I learned new skills to use at my workplace.
