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. North Carolina onsite live Predictive AI trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
NC, Cary - Regency Pkwy
2500 Regency Pkwy, Cary, united states, 27518
The venue is located in the vicinity of the Extended Stay America Hotel Raleigh, right next to the Exxon Mobil gas station, i...
The venue is located in the vicinity of the Extended Stay America Hotel Raleigh, right next to the Exxon Mobil gas station, in the same building as Charles Schwab.
NC, Chapel Hill - Chapel Hill - Downtown
1340 Environ Way, Chapel Hill, united states, 27517
The venue is located off of Raleigh Road in the same building as Charles Schwab and next door to the Walgreens Pharmacy.
This instructor-led, live training in North Carolina (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 North Carolina (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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