Nagoya - Meieki Minami

〒450-0002愛知県名古屋市中村区名駅5-31-10リンクス名駅ビル 5階・6階, 名古屋, 日本, 450-0002
日本第三の都市、愛知県名古屋市。そのターミナル駅である名古屋駅の中心地、名駅エリア...

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Introduction to Predictive AI

 21 時間
Predictive AI is the art and science of forecasting future events using data.This instructor-led, live training (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.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Predictive AI in DevOps: Enhancing Software Delivery

 14 時間
Predictive AI refers to the use of machine learning algorithms and statistical models to predict future events or outcomes based on historical data. Predictive AI in DevOps is the application of artificial intelligence to forecast potential issues and optimize processes throughout the software delivery lifecycle. Predictive AI can be used to enhance the developer experience, streamline software delivery workflows, and optimize infrastructure.This instructor-led, live training (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.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
続きを読む...

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