Course Description
Artificial intelligence is being integrated directly into industrial control and automation systems — from AI-enhanced SCADA and PLC environments to computer vision quality control and intelligent process optimisation. This course delivers practical, real-world applications of AI for engineers and manufacturing professionals working in automation.
Participants learn how machine learning integrates with the control systems they already work with (PLC, SCADA, DCS), how computer vision supports quality control, and how AI drives process optimisation and anomaly detection in real time. The course is designed for automation professionals, not data scientists, explaining concepts from fundamentals.
What you will achieve
By the end of this training course, participants will be able to:
- Explain how AI applies across industrial automation environments
- Integrate machine learning with PLC, SCADA, and DCS platforms
- Apply AI to process optimisation and control
- Use computer vision for quality control and inspection
- Apply real-time anomaly detection in automation
- Understand edge AI for low-latency industrial decisions
- Plan AI deployment projects with cost-benefit analysis
- Navigate Industry 4.0 trends and future automation skills
How the course is delivered
The course delivers practical AI-for-automation applications through instruction and real-world examples, explained from fundamentals for automation professionals without a data science background. Concepts are grounded in PLC, SCADA, and DCS environments participants already know.
Case studies span manufacturing, process industries, and critical infrastructure.
Designed for
This training course is ideal for:
- Industrial and automation engineers
- Controls engineers integrating ML with PLC/SCADA/DCS
- Manufacturing professionals leading Industry 4.0
- Process engineers adopting AI
- Technical staff adding AI to control systems
Daily programme
- AI fundamentals for automation engineers
- Where AI fits in industrial systems
- Machine learning concepts without the maths
- Data in automation environments
- Integrating ML with PLC and SCADA
- AI-enhanced DCS
- Process optimisation with AI
- Real-time anomaly detection
- Computer vision for quality control
- Visual inspection applications
- Edge AI for low-latency decisions
- Deploying AI at the edge
- Planning AI deployment projects
- Cost-benefit and ROI
- Industry 4.0 and future skills
- Case study workshop and review
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.
