Predictive Analytics Training in Thessaloniki

This instructor-led live training in Thessaloniki (online or onsite) is designed for intermediate-level developers aiming to build AI-powered applications using predictive analytics and generative models.

By the end of this training, participants will be able to:

• Understand the fundamentals of predictive AI and generative models.
• Utilize AI-powered tools for predictive coding, forecasting, and automation.
• Implement LLMs (Large Language Models) and transformers for text and code generation.
• Apply time-series forecasting and AI-based recommendations.
• Develop and fine-tune AI models for real-world applications.
• Evaluate ethical considerations and best practices in AI deployment.

This instructor-led, live training in Thessaloniki (online or onsite) targets intermediate-level data professionals aiming to apply machine learning techniques to data-driven business problems, including sales forecasting and predictive modeling using neural networks.

By the end of this training, participants will be able to:

• Understand the core concepts and types of machine learning.
• Apply key algorithms for classification, regression, clustering, and association analysis.
• Perform exploratory data analysis and data preparation using Python.
• Use neural networks for nonlinear modeling tasks.
• Implement predictive analytics for business forecasting, including sales data.
• Evaluate and optimize model performance using visual and statistical techniques.

This instructor-led, live training in Thessaloniki (online or onsite) is aimed at beginner-level IT professionals who wish to grasp the fundamentals of Predictive AI.

By the end of this training, participants will be able to:

• Understand the core concepts of Predictive AI and its applications.
• Collect, clean, and preprocess data for predictive analysis.
• Explore and visualize data to uncover insights.
• Build basic statistical models to make predictions.
• Evaluate the performance of predictive models.
• Apply Predictive AI concepts to real-world scenarios.

This instructor-led, live training in Thessaloniki (online or onsite) is designed for intermediate-level DevOps professionals looking to integrate predictive AI into their DevOps practices.

Upon completion of this training, participants will be able to:

• Implement predictive analytics models to forecast and resolve challenges within the DevOps pipeline.
• Leverage AI-driven tools for enhanced monitoring and operations.
• Apply machine learning techniques to improve software delivery workflows.
• Design AI strategies for proactive issue resolution and optimization.
• Navigate the ethical considerations of using AI in DevOps.

In this instructor-led, live training in Thessaloniki, participants will learn the mindset with which to approach Big Data technologies, assess their impact on existing processes and policies, and implement these technologies for the purpose of identifying criminal activity and preventing crime. Case studies from law enforcement organizations around the world will be examined to gain insights on their adoption approaches, challenges and results.

By the end of this training, participants will be able to:

• Combine Big Data technology with traditional data gathering processes to piece together a story during an investigation.
• Implement industrial big data storage and processing solutions for data analysis.
• Prepare a proposal for the adoption of the most adequate tools and processes for enabling a data-driven approach to criminal investigation.

This instructor-led live training in Thessaloniki (online or onsite) is designed for data scientists and analysts looking to automate, assess, and manage predictive models using DataRobot’s machine learning capabilities.

Upon completing this training, participants will be able to:

• Import datasets into DataRobot to analyze, evaluate, and ensure data quality.
• Construct and train models to identify key variables and achieve prediction objectives.
• Interpret models to generate actionable insights for business decision-making.
• Monitor and manage models to sustain optimal prediction performance.

This instructor-led live training (available online or onsite) targets beginner to intermediate analysts, researchers, and professionals who want to leverage SPSS for data preparation, statistical analysis, and predictive modeling.