東京 新宿パークタワー

日本、〒163-1030東京都新宿区西新宿3-7-1新宿パークタワー30階, 東京, 日本, 160-0023
新宿パークタワーセンターのビジネスセンターは、新宿パークタワーの30階にございます。 ...

Tokyo, Shibuya Glass City

渋谷グラスシティ, 〒150-0036東京都渋谷区南平台町16-28グラスシテイ 6階, 東京, 日本, 150-0036
グラスシティ渋谷センターは、246と旧山手通りの交差点近辺神泉町の渋谷ガーデンタワーに...

Explore Our Courses

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.
続きを読む...

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...

Last Updated:

お客様の声 (0)

Upcoming Courses

Other regions in 日本

他の国

これらのコースは他の国でもあります>>

コンサルティング

Predictive AI コンサルティング
東京のPredictive AIトレーニングコース, 東京の週末Predictive AIコース, 東京の夜のPredictive AIトレーニング, 東京のインストラクターによるPredictive AIs, 東京のオンサイトのPredictive AIsトレーニング, 東京の夜のPredictive AIコース, 東京のPredictive AI1対1のトレーニング, 東京のPredictive AIインストラクター, 東京のPredictive AI指導, 東京のPredictive AIトレーナー, 東京のインストラクターによるPredictive AIs, 東京のPredictive AIブートキャンプ, 東京の週末Predictive AIトレーニング, 東京のPredictive AIプライベートコース, 東京のPredictive AIクラス