Highlights
- Data mining techniques
- Industrial Internet of Things
- Industrial control and data flow systems
- Convergence of operational technology and information technology in industrial systems
- Data visualization and analytics
- Digital energy saving
Objectives
- Appreciate the role of data science in optimizing operations
- Recognize and compensate for the overlap between operational technology and information technology
- Realize the dynamic nature of intelligent infrastructure to embark on opportunities
- Hone digital engineering and fourth industrial revolution (4IR) skills
- Consider the influence of behavioral and psychological factors on intelligent systems
Main Target Group
- Industrial operations supervisors
- Process engineers
- Energy managers
- HSSE officers
- Energy consultants
- Energy analysts and planners
- Operational excellence officers
- Energy efficiency specialists
- State energy employees
- Energy researchers
- Refinery employees
- Power generation employees
Topics
Day One – Data Science
- Data science roles
- Data science lifecycle
- Data acquisition
- Data structure and management
- Data visualization and analytics
Day Two – Data Mining
- Data mining concepts
- Big data for big opportunities
- Data classification technique
- Data clustering technique
- Data regression technique
Day Three – Integrated Cybersecurity
- Understanding the threat and its implications
- Energy as a critical infrastructure
- Cybersecurity Vs. physical security
- Integrated solutions
- Digital policies
- Cybersecurity for contractors and subcontractors
Day Four – Artificial Intelligence and Machine Learning
- Upstream applications
- Midstream applications
- Downstream applications
Day Five – Applied Informatics
- Industrial Internet of Things
- Robotics for industrial inspection
- The mirror worlds
- Digital twin concept
- Digital twin Vs Traditional simulation
- Virtual reality
- Collaborative online environments
Location
online and onsite
Duration
5 days
Alternatively: 5 week, 8 hours per week (available only online)
Cost
online: It is per day per person
special group enrolment price: get a 20% discount if you enroll with at least two colleagues
onsite: + mobilization cost
Certificate
Upon completion of the course, PlutosTech grants a verified digital certificate of completion to the delegates.
Format
This training course will utilize a variety of proven learning techniques to ensure maximum understanding, comprehension and retention of the information and innovative methods presented. This includes presentation of theoretical concepts, team and individual exercises, case study analyses, educational videos and real-life applications. Participants in this training course will receive a thorough training on the subjects covered by the seminar outline.
The delegates will also learn how to develop a cyber-logical model for a real industrial field. The delegates will also be acquainted with the design and function of intelligent energy systems.
Why choose this Training Course?
Data-based methods represent a robust way to leverage big data into valuable information that can be acted up. When used effectively, the data collected and integrated with artificial intelligence tools can offer unprecedented industrial capabilities while containing costs and saving energy, simultaneously – compared to conventional approaches.
Participants will gain hands-on skills on how to use data-based artificial intelligence and machine learning methodologies to address today’s unique operational challenges and optimize functions.
Organizational Impact
The application of data mining techniques and artificial intelligence methodologies have been field-tested to reduce operating costs and improve operational performance. Field results have shown improved processes, increased coordination and harmonization and better regulatory compliance and audit tracking as well as better strategic decisions.
Personal Impact
The delegates will acquire knowledge and hands-on experience in key areas such as, data mining and artificial intelligence, which are set to reshape businesses and enterprises in the years to come.