NEW ONLINE TRAINING COURSE

Designing Industrial AI Agents

Gain the skills to orchestrate advanced AI agents that learn, adapt, and collaborate like experts in real-world automation environments

Start Learning Today
Duration: 3–4 hours Format: On-Demand Level: Intermediate Access: 6 months

Course Description

While many courses focus on building a single AI agent, this course explores how to design and orchestrate multiple agents working in conjunction with one another. You will study how teams of AI agents can coordinate, specialize, and adapt to achieve autonomous industrial operations that go beyond what any single agent could accomplish.

Through this course, you’ll learn methods for training agents with distinct skills, applying orchestration strategies and reusable templates, and integrating AI with existing automation technologies. By the end, you will be able to design and manage collaborative teams of intelligent agents capable of reproducing expert-level human performance and addressing complex industrial challenges.

Pricing

Option Price
Member $199
Non-member $259
Company-wide (Member) $999
Company-wide (Non-member) $1,249

Learning Outcomes

  •   Define the structure of an autonomous intelligent agent.
  •  Explain how modular skills improve the design of intelligent agents.
  •  Identify industrial challenges that require human-like decision-making.
  •  Match challenges to intelligent agent capabilities that address them.
  •  Identify intelligent agent design patterns for industrial process challenges.
  •  Recognize use cases where agents need learning to succeed.
  •  Apply machine teaching to agent design for specific use cases.
  •  Explain the steps of the machine teaching methodology for designing industrial AI systems based on engineering expertise.
  •  Identify challenging phenomena in dynamic systems that require autonomous AI multi-agent systems.
  •  Design systems that address industrial challenges using modular design patterns.
  •  Create systems that use multiple technologies to effectively address automation challenges.

Who Should Enroll

Professionals responsible for driving innovation, efficiency, and automation within industrial organizations. It is especially valuable for:

  • Executives seeking to understand how teams of AI agents can transform operations and deliver strategic advantages.
  • Process engineers looking to optimize workflows and apply AI-driven orchestration to complex systems.
  • Engineering professionals in industrial settings who want to design, implement, and manage collaborative AI solutions.

The course is particularly relevant to large-scale industries such as logistics, consumer packaged goods (CPG), supply chain and inventory management, production and manufacturing, and utilities (heating, cooling, and energy). While the concepts apply broadly across sectors, the greatest impact will be seen in larger organizations with complex operations.

Kence Anderson headshot

Instructor

Kence Anderson is the CEO and co-founder of AMESA and author of Designing Autonomous AI. Formerly director of autonomous AI adoption at Microsoft (Bonsai), he has built 200+ autonomous AI systems with partners like PepsiCo, Shell, Bayer, and Delta.

Register