Online or onsite, instructor-led live Predictive AI training courses demonstrate through interactive hands-on practice the fundamentals and advanced topics of Predictive AI.
Predictive AI training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Regina onsite live Predictive AI trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Regina - Royal Bank Building
2002 11th Ave, Regina, Canada, S4P 0J3
Grow your business in one of Regina’s most prominent finance hubs. Build your base in the prestigious Royal Bank Building, ...
Grow your business in one of Regina’s most prominent finance hubs. Build your base in the prestigious Royal Bank Building, home to several leading financial and professional services companies.
Impress your clients and colleagues with the building’s commanding city views, before getting to work in stylish surroundings with plenty of natural light. And travel easily for work or pleasure, with the nearby Regina International Airport offering regular flights across Canada and beyond.
This instructor-led, live training in Regina (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 Regina (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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