This course spans two months and consists of five self-paced modules, along with two live instructor-led Q&A sessions. The live sessions will be held on the last Friday of each month, lasting two hours each.
With AI rapidly transforming the chemical engineering landscape, this course provides timely insights into the latest methodologies and tools. By staying ahead of the curve, learners can immediately apply these techniques to enhance efficiency, reduce costs, and boost innovation in their current or future projects. As sustainability, complexity, and competitiveness escalate, the course ensures that participants are not left behind and can leverage AI for strategic advantage.
This course uniquely integrates Predictive, Prescriptive, and Generative AI, illustrating how each complements the other. Unlike courses focusing on a single AI domain, it showcases a holistic approach, demonstrating how combined strategies lead to more robust and innovative solutions. Additionally, the course is grounded in chemical engineering contexts, ensuring practical relevance rather than generic examples.
This course introduces chemical engineers to the transformative potential of artificial intelligence across three key domains: Predictive, Prescriptive, and Generative AI. It begins by clarifying fundamental concepts, showing how Predictive AI uses historical data to forecast future outcomes, such as anticipating equipment failures or predicting product quality. Next, it explains Prescriptive AI, which leverages these predictions to recommend optimal actions, improving process efficiency, resource allocation, and decision-making. Generative AI is then explored for its ability to create entirely new data, designs, and materials, opening doors to innovation in process design, materials discovery, and hazard analysis.
Throughout the course, practical examples and demonstrations illustrate how each AI category can be applied in real chemical engineering scenarios. There’s a focus on understanding the strengths and limitations of each AI type, as well as how combining them can yield powerful integrated solutions. Ethical and safety considerations, data quality challenges, and the continued necessity of human oversight are emphasised. Finally, the course examines future trends, including autonomous chemical plants, sustainability-driven optimisation, and continuous process improvement.
By the end of the course, chemical engineers gain a solid understanding of what is possible with AI, learn the language and methods used by AI practitioners, and become aware of how to guide AI-driven decisions responsibly. The result is a skill set that enables chemical engineers to collaborate effectively with AI experts and leverage cutting-edge tools to improve efficiency, sustainability, and innovation in their field.
With AI rapidly transforming the chemical engineering landscape, this course provides timely insights into the latest methodologies and tools. By staying ahead of the curve, learners can immediately apply these techniques to enhance efficiency, reduce costs, and boost innovation in their current or future projects. As sustainability, complexity, and competitiveness escalate, the course ensures that participants are not left behind and can leverage AI for strategic advantage.
After completing this course, participants will be able to:
- Understand and apply core AI terminology and concepts, enabling clearer communication with AI practitioners.
- Translate chemical engineering challenges into AI-friendly problem statements, fostering productive collaboration between engineers and data scientists.
- Critically assess AI models and outputs, ensuring that results are both trustworthy and aligned with engineering goals and standards.
- Identify the most suitable AI techniques—Predictive, Prescriptive, or Generative—based on project objectives, data availability, and desired outcomes.
- Develop a pathway to deeper AI expertise, empowering participants to pursue more advanced AI tools, frameworks, and practitioner-level skill sets.
Chemical engineers at any stage of their career. With AI rapidly transforming the chemical engineering landscape, this course provides timely insights into the latest methodologies and tools. By staying ahead of the curve, learners can immediately apply these techniques to enhance efficiency, reduce costs, and boost innovation in their current or future projects. As sustainability, complexity, and competitiveness escalate, the course ensures that participants are not left behind and can leverage AI for strategic advantage.
Lesson 1
• An introduction to Predictive, Prescriptive, and Generative AI
Lesson 2
• Predictive AI
• Predictive AI hands-on activity
Lesson 3
• Prescriptive AI
• Prescriptive AI hands-on activity
Lesson 4
• Generative AI
• Generative AI hands-on activity
Lesson 5
• Combining Predictive, Prescriptive, and Generative AI
• Limits of AI
• Summary
Lesson 1
• An introduction to Predictive, Prescriptive, and Generative AI
Lesson 2
• Predictive AI
• Predictive AI hands-on activity
Lesson 3
• Prescriptive AI
• Prescriptive AI hands-on activity
Lesson 4
• Generative AI
• Generative AI hands-on activity
Lesson 5
• Combining Predictive, Prescriptive, and Generative AI
• Limits of AI
• Summary
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