Instructor-led live courses on Predictive AI, offered either online or onsite, illustrate the core principles and advanced concepts of Predictive AI through interactive, practical exercises.
Predictive AI training is provided in two formats: "online live training" and "onsite live training." Online live training (also known as "remote live training") is conducted via an interactive remote desktop. Onsite live training can be delivered locally at the client’s facility in Dobrogea Sud-Est or at NobleProg’s corporate training centers in Dobrogea Sud-Est.
NobleProg -- Your Local Training Provider
Constanta, Mircea cel Batran Street
NobleProg Constanta, Str. Mircea cel Batran, Constanta, romania, 900658
The building is situated in the central part of the city with view to the Black Sea. The hotel contains three conference rooms fully equipped for training, meetings and conferences. Just a quick walk and you can relax on the beach after a full day in the conference center.
This instructor-led, live training in Dobrogea Sud-Est (online or onsite) is designed for intermediate-level developers who want to build AI-powered applications using predictive analytics and generative models.
Upon completion of this training, participants will be able to:
Grasp the core principles of predictive AI and generative models.
Leverage AI-powered tools for predictive coding, forecasting, and automation.
Deploy Large Language Models (LLMs) and transformers for generating text and code.
Apply time-series forecasting and AI-driven recommendation systems.
Develop and fine-tune AI models for practical, real-world use cases.
Assess ethical implications and adhere to best practices in AI deployment.
This guided, live training in Dobrogea Sud-Est (online or on-site) 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 fundamental concepts of predictive AI and its practical uses.
Gather, clean, and prepare data for predictive analysis.
Investigate and visualize data to discover key insights.
Construct simple statistical models to generate predictions.
Assess the effectiveness of predictive models.
Implement predictive AI concepts in real-world situations.
This instructor-led, live training in Dobrogea Sud-Est (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.
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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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