Generative and Agentic AI for Process Industries

• Real Time Online Delivery – Live Training Sessions
• Virtual Attendance for 4 Days Training
• Guided Learning Hours – 16 (4 Hrs x 4 Days)
• Comprehensive Learning Kit

Course Overview:

This 4 Day online executive program provides a practical understanding of the technologies, architectures, and business strategies that are shaping the future of industrial intelligence. Participants will explore how Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Knowledge Graphs, Digital Twins, Industrial Copilots, and Multi-Agent Systems can be applied within Oil & Gas, Petrochemical, Energy, Utilities, Mining, and Manufacturing environments.

In this total 16hrs sessions participants will have an understanding of how organizations are moving from digital operations toward intelligent operations, and ultimately toward autonomous industrial systems capable of supporting decision-making, optimizing workflows, and improving operational resilience.

Trainer’s Profile:

Our Expert is a Full Professor in the Division of Operation and Maintenance Engineering at Luleå University of Technology (LTU), where he significantly contributes to the fields of maintenance, reliability, and industrial technologies. Additionally, he serves as the Research & Technology Director at Sisteplant (Spain), specializing in predictive maintenance solutions and condition monitoring.

Our Trainer has played a crucial role in coordinating numerous European projects, emphasizing cyber-physical systems, Industry 4.0, IoT, and Industrial AI and Big Data. His collaborative efforts with the Swedish industry and national agencies, including Vinnova, have advanced maintenance technologies and practices. These projects often involve multi- disciplinary teams and international partners, reflecting Dr. Galar’s ability to lead complex research initiatives.

Key Takeaways:

Organizations that successfully combine Generative AI, Industrial Copilots, Agentic AI, Knowledge Graphs, Digital Twins, and Autonomous Decision Support Systems will be better positioned to improve productivity, accelerate decision-making, retain critical knowledge, and build the intelligent operations of the future. This course provides the knowledge, frameworks, and practical perspectives required to lead that transformation. Learn from Real Industrial Use Cases, throughout the program, participants will review practical examples and emerging deployments from asset intensive industries.

Who Should Attend:

Job Titles:

• IT, OT and Enterprise Architecture Professionals
• Digital Transformation Leaders
• Operations Excellence Managers
• Maintenance Managers and Reliability Leaders
• Data Scientists and Industrial Analytics Professionals
• Engineering Managers and Technical Authorities

Job Industries:

• Oil & Gas, Petrochemical and Chemical Industries
• Manufacturing and Industrial Production
• Transportation & Energy
• and sectors focused on Asset Reliability, Maintenance & Reliability, Utilities and Water Infrastructure and MRO optimization.