Delivered either online or on-site, these instructor-led live Predictive Analytics courses provide practical, hands-on experience in utilizing various tools to construct predictive models. Participants learn how to apply these models to extensive datasets to forecast future outcomes based on data-driven insights.
Predictive Analytics training is offered in two formats: “online live training” and “on-site live training.” Online live training (also referred to as “remote live training”) is facilitated through an interactive remote desktop. On-site live training can be conducted locally at your customer premises in Varna or at NobleProg’s corporate training centers in Varna.
The "Central Point" complex offers quick access to main roads leading to the airport, the northern and southern resorts and the Varna - Sofia and Varna - Burgas highways.
This instructor-led live training in Varna (online or onsite) targets intermediate-level developers who wish to build AI-powered applications using predictive analytics and generative models.
Upon completing 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 Varna (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:
Grasp the fundamental concepts and categories of machine learning.
Utilize essential algorithms for classification, regression, clustering, and association analysis.
Conduct exploratory data analysis and prepare data using Python.
Leverage neural networks for nonlinear modeling tasks.
Deploy predictive analytics for business forecasting, including sales data.
Assess and enhance model performance through visual and statistical techniques.
This instructor-led, live training in Varna (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 Varna (online or onsite) is aimed at intermediate-level DevOps professionals who wish 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 solve challenges in 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.
In this instructor-led live training in Varna, 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.
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Testimonials (1)
basics and loved the prepared documents and exercises
Rekha Nallam - GE Medical Systems Polska Sp. z o.o.
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