Development Training Course on
Chemical Engineering for Non-Chemical Engineers
An Introduction to Core Concepts, Processes & Applications
Course Schedule
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Why Choose Chemical Engineering for Non-Chemical Engineers Training Course?
A key feature of this training course is its practical introduction to AI in Process Plants and Digitalisation in Chemical Engineering. Participants will gain an understanding of machine learning, digital twins, anomaly detection, predictive maintenance, computer vision, and generative AI applications without requiring coding or advanced mathematics. By the end of the training course, delegates will be better prepared to interpret process information, support troubleshooting activities, collaborate effectively with process engineering teams, and identify opportunities where AI can enhance operational performance.
This training course will feature:
- Core chemical engineering principles explained without complex mathematics
- Practical interpretation of PFDs, P&IDs, and operating data
- Hands-on workshops covering pumps, heat exchangers, and distillation systems
- Troubleshooting case studies and lessons from major process incidents
- Current perspectives on energy efficiency, digitalisation, and decarbonisation
- Practical AI concepts and applications for process facilities
- Demonstrations of digital twins, soft sensors, and AI-assisted anomaly detection
What are the Goals?
This Chemical Engineering for Non-Chemical Engineers Training Course develops a practical understanding of process engineering fundamentals while introducing modern digital and AI-driven tools used across industrial operations.
By the end of this training course, participants will be able to:
- Apply mass and energy balance principles to process plant operations
- Interpret PFDs, P&IDs, equipment data, and operating information
- Explain fluid flow, heat transfer, pumps, compressors, and process equipment performance
- Diagnose common reaction, separation, and process control challenges
- Evaluate process safety risks, sustainability initiatives, and project economics
- Identify practical AI and machine learning opportunities for monitoring, maintenance, optimisation, and safety
- Interpret AI-generated insights and digital twin outputs using sound engineering judgement
The Course Content
- Process Industries: Batch and Continuous Operations
- Process Variables, Units and Physical Properties
- Mass and Energy Balances in Practice
- Interpreting PFDs, P&IDs and Equipment Datasheets
- Flammability, Hazardous Area Classification and Ignition Control
- Process Safety Management, HAZOP and Incident Lessons
- AI in Process Safety: computer vision, leak and PPE detection, NLP for incident reports and HAZOP support
- Pressure, Head and Bernoulli’s Theorem
- Reynolds Number, Pipe Flow and Pressure Drop
- Two-Phase and Multi-Phase Flow Behaviour
- Thermodynamics, Enthalpy and Phase Change
- Pumps, Compressors and Mixers: Selection and Performance
- Pressure Relief Devices and Flare Systems
- AI for Rotating Equipment: predictive maintenance, anomaly detection and soft sensors for flow and pressure
- Heat Transfer Mechanisms and Coefficients
- Heat Exchangers: Types, Sizing and Fouling
- Fired Heaters, Boilers and Heat Recovery
- Reaction Kinetics, Catalysis and Catalyst Deactivation
- Reactor Types, Operation and Runaway Hazards
- Green Chemistry and Process Intensification
- AI for Heat Exchanger Fouling, Reactor Runaway Early Warning and Catalyst Deactivation Forecasting
- Phase Behaviour and Vapour-Liquid Equilibrium
- Gas-Liquid Separators and Process Vessels
- Distillation Columns: Trays, Packing and Operation
- Absorption, Extraction, Adsorption and Membranes
- Troubleshooting Flooding, Foaming, Fouling and Carry-Over
- Effluent, Water Treatment and Emissions Control
- AI for Separation Performance: soft sensors, distillation optimisation and early warning of flooding or foaming
- Instrumentation, Measured Variables and Control Systems
- Feedback Control, PID Loops and Advanced Process Control
- Digitalisation, Digital Twins and Operational Data
- Reinforcement Learning and AI-Assisted Process Optimisation
- Capital Costs, Operating Costs and Break-Even Analysis
- Decarbonisation, Hydrogen and Carbon Capture
- AI for Energy Efficiency, CCUS Optimisation and Emissions Reduction
- Data Quality, Cyber Security, Ethics and Human-in-the-Loop AI
- Integrated Plant Case Study and Course Review
Certificate
- AZTech Certificate of Completion for delegates who attend and complete the training course
How Saudi Aztech Can Enhance Your Professional Career
At Aztech Saudi, we believe that professional development is the foundation of long-term career success. This training course is expertly designed to equip individuals with practical skills, forward-thinking strategies, and the confidence to navigate today’s dynamic work environments. Each course is delivered by subject matter specialists with extensive industry experience, ensuring that every learning experience is relevant, impactful, and aligned with real-world challenges. Whether you're looking to strengthen your technical expertise, enhance leadership abilities, or stay ahead of industry trends, Aztech Saudi provides the tools you need to elevate your performance and deliver measurable value to your organization.
Our training is more than just knowledge transfer—it’s a catalyst for career transformation. By participating in our courses, professionals gain a competitive advantage in their fields, improve their decision-making capabilities, and position themselves for new opportunities and leadership roles. We take pride in supporting individuals across various sectors and career stages, helping them unlock their full potential through high-quality, globally benchmarked learning experiences. With Aztech Saudi as your development partner, you’re not only investing in education—you're investing in a stronger, more successful future.
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Common questions about our training courses
Yes, Saudi AZTech collaborates with globally recognized professional bodies to offer accredited training courses. Participants receive certificates that reflect international standards and support their career growth and industry credibility.
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Our training courses are conducted in major cities across the Kingdom, including Riyadh, Jeddah, Dammam, and Al Khobar. We partner with top-tier venues to provide an optimal learning environment that combines comfort, convenience, and professionalism.
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Saudi AZTech offers a wide range of internationally benchmarked training courses across various disciplines including leadership, finance, engineering, project management, HR, and more. All courses are designed to meet the professional development needs of individuals and organizations in Saudi Arabia.
