City
Duration
Year
Venue | Start Date | End Date | Net Fees | Details & Registration |
---|---|---|---|---|
Amsterdam | July 7, 2025 | July 11, 2025 | 6800 GBP | PDF Register |
Amsterdam | August 11, 2025 | August 15, 2025 | 6800 GBP | PDF Register |
Amsterdam | September 15, 2025 | September 19, 2025 | 6800 GBP | PDF Register |
Amsterdam | October 13, 2025 | October 17, 2025 | 6800 GBP | PDF Register |
Amsterdam | November 17, 2025 | November 21, 2025 | 6800 GBP | PDF Register |
Amsterdam | December 22, 2025 | December 26, 2025 | 6800 GBP | PDF Register |
About corse
This seven-day professional training course focuses on the transformative role of artificial intelligence (AI) and big data in today’s digital world. As organizations increasingly leverage these technologies to improve decision-making, operational efficiency, and innovation, the course aims to equip participants with a comprehensive understanding of AI and big data strategies. Attendees will explore foundational concepts, practical applications, and strategic frameworks, preparing them to implement effective solutions within their organizations. The curriculum covers key topics such as data management, machine learning algorithms, predictive analytics, and ethical considerations in data usage. Participants will engage with industry experts through case studies and hands-on exercises, gaining real-world experience. By the end of the course, attendees will possess the skills and insights needed to develop and execute robust AI and big data strategies aligned with organizational goals, empowering them to navigate the complexities of these advanced technologies and drive impactful innovation.The Objectives
- To understand the core principles of AI and big data.
- To explore the integration of AI technologies in big data analytics.
- To develop skills in data management and predictive modeling.
- To examine ethical considerations related to AI and data usage.
- To apply AI and big data strategies in real-world scenarios.
- To foster a strategic mindset for implementing AI-driven solutions.
Training Methodology
The course employs a blend of lectures, interactive discussions, group activities, and hands-on projects to facilitate learning. Participants will engage in collaborative problem-solving, case study analyses, and practical exercises designed to reinforce key concepts. This approach ensures a comprehensive understanding of the material and encourages the application of knowledge in real-world settings.WHO SHOULD ATTEND
This course is ideal for professionals across various sectors, including data scientists, business analysts, IT managers, and executives involved in strategic planning. Individuals seeking to enhance their understanding of AI and big data, as well as those responsible for implementing data-driven initiatives, will benefit significantly from this training.Course Outlines
Day 1: Introduction to AI and Big Data- Overview of AI and big data concepts
- Historical context and evolution of technologies
- Importance of data in decision-making
- Key terminologies and definitions
- Introduction to data types and sources
- Case studies showcasing successful implementations
- Fundamentals of data collection and storage
- Data cleaning and preprocessing techniques
- Understanding data governance and quality
- Tools and technologies for data management
- Best practices for data integration
- Hands-on workshop: Data preparation exercises
- Introduction to machine learning concepts
- Types of machine learning: supervised vs. unsupervised
- Algorithms and models overview
- Feature selection and engineering techniques
- Evaluating model performance
- Practical session: Building a simple model
- Understanding predictive analytics and its applications
- Techniques for forecasting and trend analysis
- Introduction to deep learning
- Tools for advanced analytics
- Case studies of predictive analytics in action
- Group activity: Developing a predictive model
Training Method?
- Pre-assessment
- Live group instruction
- Use of real-world examples, case studies and exercises
- Interactive participation and discussion
- Power point presentation, LCD and flip chart
- Group activities and tests
- Each participant receives a copy of the presentation
- Slides and handouts
Training Method?
The course agenda will be as follows:
- Technical Session 30-10.00 am
- Coffee Break 00-10.15 am
- Technical Session 15-12.15 noon
- Coffee Break 15-12.45 pm
- Technical Session 45-02.30 pm
- Course Ends 30 pm
Operation and Maintenance of Compressors
Code : ME1361
04/07/2025
6800 GBP$
3 days
Amsterdam , Netherlands
04/07/2025
6900 GBP$
3 days
Geneva , Switzerland
04/07/2025
6600 GBP$
3 days
Madrid , Spain
Turbines, pumps, compressors, and troubleshooting
Code : ME1358
04/07/2025
6600 GBP$
3 days
Paris , France
04/07/2025
5500 GBP$
3 days
Dubai , United Arab Emirates
04/07/2025
6100 GBP$
3 days
Istanbul , Turkey