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SCADA Training Certification Course » ENG86

SCADA Training Certification Course

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DateFormatDurationFees (GBP)Register
24 Nov - 28 Nov, 2025Live Online5 Days£2850Register →
24 Dec - 26 Dec, 2025Live Online3 Days£1975Register →
26 Jan - 28 Jan, 2026Live Online3 Days£1975Register →
09 Feb - 20 Feb, 2026Live Online10 Days£5825Register →
09 Mar - 13 Mar, 2026Live Online5 Days£2850Register →
27 Apr - 05 May, 2026Live Online7 Days£3825Register →
25 May - 12 Jun, 2026Live Online15 Days£8675Register →
15 Jun - 19 Jun, 2026Live Online5 Days£2850Register →
21 Sep - 25 Sep, 2026Live Online5 Days£2850Register →
09 Nov - 13 Nov, 2026Live Online5 Days£2850Register →
16 Dec - 18 Dec, 2026Live Online3 Days£1975Register →
DateVenueDurationFees (GBP)Register
15 Dec - 17 Dec, 2025Singapore3 Days£3375Register →
26 Jan - 30 Jan, 2026Kuala Lumpur5 Days£4200Register →
16 Feb - 20 Feb, 2026Barcelona5 Days£4750Register →
02 Mar - 20 Mar, 2026Singapore15 Days£10400Register →
27 Apr - 01 May, 2026Dubai5 Days£4200Register →
27 May - 29 May, 2026Dubai3 Days£3375Register →
08 Jun - 26 Jun, 2026Kigali15 Days£11200Register →
05 Oct - 09 Oct, 2026Abuja5 Days£4350Register →
09 Nov - 20 Nov, 2026Dar es Salaam10 Days£8350Register →
30 Dec - 01 Jan, 2027Singapore3 Days£3375Register →

Why Select this Training Course?

The landscape of industrial process control is undergoing a revolutionary shift with the integration of SCADA (Supervisory Control and Data Acquisition) systems. The SCADA Training Certification Course equips professionals with savvy insights and technical prowess to navigate this dynamic field with confidence.

How does this course help professionals in SCADA?

As SCADA becomes increasingly crucial for real-time data monitoring and control, professionals need to master the intricacies of system architecture and software. This course offers intensive, hands-on training on the latest SCADA technologies, tools, and best practices, bridging the gap between theoretical knowledge and practical application.

What can attendees expect?

Through the practical exploration of SCADA system components, communication protocols, and security measures, you will cultivate skills that heighten your professional value and applicability across industries—from energy to manufacturing to utilities. This course transcends basic functionalities, delving into complex integrations, custom scripting, and the subtle art of system optimization.

Who Should Attend?

The course is specifically designed for:

What are the Course Objectives?

By the end of this course, participations will:

  • Have a comprehensive understanding of SCADA system architectures.
  • Be proficient in configuring and programming SCADA software.
  • Understand how to maintain and troubleshoot SCADA systems.
  • Be aware of the latest developments and how to apply them to enhance system efficiency.
  • Address SCADA security challenges with advanced strategies.

How will this course be presented?

Delivery methods will include:

  • Interactive workshops focusing on real-world scenarios.
  • Laboratory sessions with the latest SCADA software and hardware.
  • Group discussions facilitated by expert instructors.
  • Comprehensive course materials and case studies.
  • Remote and in-person learning options to suit different needs.

What are the Topics Covered in this Course?

Module 1: SCADA Software Proficiency

  • Deep dive into SCADA software platforms.
  • Application design and interface customization.
  • Database management and reporting tools.
  • Real-time monitoring and control strategies.
  • Triggered alarms and event management.
  • User role hierarchy and security settings.
  • Designing redundant systems for fail-safe operations.
  • Historical data collection and trend analysis for predictive maintenance.

Module 2: SCADA Hardware Components

  • Understanding Remote Terminal Units (RTUs) and Programmable Logic Controllers (PLCs).
  • Configuring Human Machine Interfaces (HMIs).
  • Data acquisition methodologies and instrument interfacing.
  • Communication infrastructure – Wired and Wireless.
  • Power supply and backup systems for continuous operation.
  • Environmental considerations for hardware deployment.

Module 3: SCADA Communication Protocols and Network Topology

  • TCP/IP and other basic networking protocols.
  • Proprietary vs open communication protocols.
  • Ethernet/IP, Modbus, DNP3 and their role in SCADA.
  • Radio, Satellite, and Cellular network applications.
  • Internet of Things (IoT) integration.
  • Secure networking and firewall implementation.
  • VPNs and secure remote access.
  • Network segmentation and DMZs for security.
  • Troubleshooting network issues.
  • Optimising communication for bandwidth efficiency.
  • Wired and wireless redundancy options.
  • Long-range communication technologies like LoRaWAN.

Module 4: SCADA System Design and Architecture

  • Best practices in system architecture design.
  • Implementing scalable solutions for diverse operations.
  • Ensuring high availability in system design.
  • Incorporating interoperability between different vendors’ equipment.
  • Leveraging cloud-enabled SCADA for remote monitoring.
  • Integration with business and IT systems.
  • Lifecycle management of a SCADA system.
  • Designing for operator effectiveness.
  • System validation and commissioning processes.

Module 5: Advanced Data Management

  • Effective data structuring and aggregation.
  • Utilising SQL and NoSQL databases for SCADA.
  • Edge computing in data processing.
  • Large-scale data handling techniques.
  • Developing KPIs for performance measurement.

Module 6: SCADA Security and Risk Management

  • Assessing vulnerabilities within SCADA networks.
  • Deploying cybersecurity best practices.
  • Contemporary encryption techniques and security protocols.
  • Training and awareness for maintaining security integrity.

Module 7: SCADA and Industrial Automation Trends

  • Adoption of AI and Machine Learning in SCADA.
  • Digital twins for system simulation and testing.
  • Predictive analytics for operational excellence.
  • Augmented Reality (AR) for enhanced system interaction.
  • Integrating advanced sensors and smart devices.
  • Industry 4.0 implications for SCADA systems.
  • Best practices for migration and system upgrade.
  • Ecosystems and standardisation across the SCADA landscape.

Module 8: Customization and Scripting

  • Scripting for enhanced SCADA functionality.
  • Designing custom SCADA applications.
  • Extensibility with APIs and SDKs.
  • Integration with third-party applications.
  • Leveraging scripting for automation and control logic.
  • Interfacing with external databases and software platforms.
  • Tailoring user interfaces for specific operational requirements.
  • Managing and deploying SCADA application updates.

Module 9: Operational Excellence and Best Practices

  • Streamlining processes with Lean principles in the SCADA context.
  • Advanced alarm management strategies.
  • Developing a comprehensive SCADA maintenance plan.
  • Incident response and rapid recovery techniques.
  • Root cause analysis for system failures.
  • Integrating mobile SCADA solutions for on-the-go monitoring.
  • Performance benchmarks and continuous improvement models.
  • Ensuring compliance with international standards.
  • Implementing energy-saving features within SCADA systems.
  • Strategic planning for SCADA system lifecycle extensions.

Module 10: Transitioning to Future Technologies

  • Adopting cloud solutions for SCADA applications.
  • Exploring the potential of 5G in industrial control systems.
  • Transition strategies for legacy systems.

Module 11: Cybersecurity Advanced Tactics

  • Understanding the implications of cybersecurity on SCADA systems.
  • Advanced threat detection methodologies and tools.
  • Developing and implementing incident response plans.
  • Establishing robust cybersecurity governance and compliance.
  • Risks associated with wireless and mobile SCADA interfaces.
  • Hardening SCADA networks against cyber-physical threats.
  • Utilising artificial intelligence for cybersecurity threat intelligence.
  • Security considerations for SCADA in the Cloud.

Module 12: Data Analytics and Visualization

  • Implementing real-time analytics for SCADA data.
  • Using visualization tools to enhance decision-making.
  • Building custom SCADA dashboards for different user levels.
  • Leveraging big data technologies for predictive insights.
  • Data mining techniques for SCADA system optimization.
  • Integrating SCADA data with enterprise resource planning (ERP) systems.
  • Utilizing geographic information systems (GIS) for spatial data analysis.

Module 13: Sustainable and Green Automation Practices

  • Employing SCADA to enhance energy efficiency.
  • Techniques for monitoring and reducing carbon footprints in automation.
  • Integration of renewable energy sources with SCADA systems.
  • SCADA’s role in water and waste management processes.
  • Sustainability reporting and compliance with environmental regulations.
  • Optimising SCADA operations for sustainable practices.
  • The role of SCADA in smart cities and sustainable infrastructure.
  • Future trends in green automation and SCADA’s evolving role.

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