Course Description
Agentic AI is the defining industrial technology trend of 2026 — a shift from AI that predicts or advises to AI that plans, decides, and acts autonomously across operational systems. Unlike a predictive model that flags a failure, an agentic system detects the anomaly, queries the planning system, generates a work order, checks spare-parts inventory, proposes a maintenance window, and reroutes production — all within defined safety guardrails and spend limits.
This course explains how autonomous AI agents and multi-agent systems are being deployed in industrial operations, drawing on real deployments where manufacturers have achieved documented gains such as 20% lower maintenance costs and 15% higher uptime. Participants learn the architecture of agentic systems, the critical role of human-in-the-loop control and guardrails, and how to identify high-value use cases — without needing to build the systems themselves.
What you will achieve
By the end of this training course, participants will be able to:
- Explain what agentic AI is and how it differs from predictive and generative AI
- Describe multi-agent system architecture in industrial operations
- Understand how agents perceive, reason, and act across operational systems
- Identify high-value agentic use cases in maintenance, energy, and production
- Explain human-in-the-loop control, guardrails, and approval thresholds
- Understand "shadow mode" deployment and progressive autonomy
- Recognise the data and integration requirements (IoT, SCADA, MES, ERP)
- Assess organisational readiness and risks of agentic AI
How the course is delivered
The course explains agentic AI concepts through real industrial deployment examples and architecture walkthroughs. Participants explore multi-agent use cases, guardrail design, and progressive-autonomy rollout using case studies from manufacturing and energy.
The programme focuses on understanding, evaluating, and governing agentic systems rather than building them, making it accessible to operational and engineering leaders.
Designed for
This training course is ideal for:
- Operations, maintenance, and reliability leaders
- Digital transformation and Industry 4.0 professionals
- Engineers evaluating autonomous operations
- Asset and plant managers
- Technical decision-makers assessing agentic AI
Daily programme
- From predictive and generative to agentic AI
- What makes AI "agentic": plan, decide, act
- Single agents versus multi-agent systems
- The 2026 industrial agentic landscape
- How agents perceive, reason, and act
- Multi-agent orchestration
- Integration with IoT, SCADA, MES, and ERP
- The role of data pipelines and real-time inference
- Autonomous maintenance agents
- Energy optimisation agents
- Production scheduling and quality agents
- Documented ROI and real deployments
- Human-in-the-loop and approval thresholds
- Guardrails, spend limits, and safety rules
- Shadow mode and progressive autonomy
- Organisational readiness, risks, and roadmap
Certification & accreditation
BII Certificate of Completion
BII Certificate of Completion Upon successful completion, participants receive a BII Development Institute Certificate of Completion with a unique reference code that is independently verifiable. Our certificates are recognised internationally and reflect successful completion of your chosen programme.
