Predictive Analytics Training in Athens

This instructor-led live training in Athens (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 Athens (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 live, instructor-led course in Athens—delivered online or on-site—is designed to equip beginner-level IT professionals with a strong command of the fundamentals of Predictive AI.

By the time this training concludes, participants will be equipped to:

• Comprehend the essential concepts of Predictive AI and its diverse applications.
• Collect, clean, and preprocess data specifically for predictive analysis.
• Explore and visualize datasets to reveal hidden insights.
• Develop basic statistical models capable of making accurate predictions.
• Evaluate the performance and accuracy of predictive models.
• Apply Predictive AI principles to solve real-world problems.

This instructor-led, live training in Athens (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 Athens, 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.