Predictive Analytics Training in Prague

This instructor-led, live training in Prague (online or onsite) is aimed at intermediate-level developers who wish 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 Prague (online or onsite) is aimed at intermediate-level data professionals who wish 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 Prague (online or onsite) is designed for beginner-level IT professionals seeking to understand the fundamentals of Predictive AI.

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

• Grasp the core principles of Predictive AI and its practical applications.
• Gather, clean, and prepare data for predictive analysis.
• Explore and visualize data to reveal key insights.
• Construct basic statistical models to generate predictions.
• Assess the performance of predictive models.
• Implement Predictive AI concepts in real-world situations.

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

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

• Implement predictive analytics models to forecast and address challenges within the DevOps pipeline.
• Utilize 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.

During this instructor-led, live training in Prague, participants will cultivate the mindset necessary to approach Big Data technologies, assess their impact on existing processes and policies, and implement these technologies to identify criminal activity and prevent crime. We will analyze case studies from law enforcement organizations worldwide to gain insights into 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 Prague (online or onsite) is designed for data scientists and analysts who want to automate, evaluate, and manage predictive models using DataRobot's machine learning capabilities.

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

• Load datasets in DataRobot to analyze, assess, and quality check data.
• Build and train models to identify important variables and meet prediction targets.
• Interpret models to create valuable insights that are useful in making business decisions.
• Monitor and manage models to maintain an optimized prediction performance.

This instructor-led live training (online or in-person) is designed for beginner to intermediate-level analysts, researchers, and professionals who wish to utilize SPSS for data preparation, statistical analysis, and predictive modeling.