- 瞭解軟體開發週期
- 具有構建或使用 Machine Learning 模型的經驗
- 熟悉 Python 程式設計
觀眾
- ML工程師
- DevOps 工程師
- 數據工程師
- 基礎設施工程師
- 軟體開發人員
MLOps 是一套用於結合 Machine Learning 和 DevOps 實踐的工具和方法。MLOps 的目標是自動化和優化生產中 ML 系統的部署和維護。
這種以講師為主導的現場培訓（現場或遠端）針對的是希望評估當今可用的方法和工具的工程師，以便就在其組織內採用MLOps的前進道路做出明智的決定。
在培訓結束時，參與者將能夠：
- 安裝和配置各種 MLOps 框架和工具。
- 組建一支具有正確技能的正確團隊，以構建和支援 MLOps 系統。
- 準備、驗證和版本控制數據以供ML模型使用。
- 瞭解 ML 管道的元件以及構建管道所需的工具。
- 嘗試使用不同的機器學習框架和伺服器進行部署到生產環境。
- 操作整個 Machine Learning 過程，使其可複製和可維護。
課程形式
- 互動講座和討論。
- 大量的練習和練習。
- 在現場實驗室環境中實際實施。
課程定製選項
- 如需申請此課程的定製培訓，請聯繫我們進行安排。
介紹
- Machine Learning 模型與傳統軟體的對比
DevOps 工作流概述
Machine Learning 工作流概述
ML 即代碼加數據
ML 系統的元件
案例研究：銷售 Forecasting 應用程式
Accessing 數據
驗證數據
數據轉換
從數據管道到 ML 管道
構建數據模型
訓練模型
驗證模型
再現模型訓練
部署模型
將經過訓練的模型提供到生產環境
測試 ML 系統
持續交付編排
監視模型
數據版本控制
調整、擴展和維護 MLOps 平臺
故障排除
總結和結論
United Arab Emirates - MLOps: CI/CD for Machine Learning
Qatar - MLOps: CI/CD for Machine Learning
Egypt - MLOps: CI/CD for Machine Learning
Saudi Arabia - MLOps: CI/CD for Machine Learning
South Africa - MLOps: CI/CD for Machine Learning
Brasil - MLOps: CI/CD for Machine Learning
Canada - MLOps: CI/CD for Machine Learning
中国 - MLOps: CI/CD for Machine Learning
香港 - MLOps: CI/CD for Machine Learning
澳門 - MLOps: CI/CD for Machine Learning
台灣 - MLOps: CI/CD for Machine Learning
USA - MLOps: CI/CD for Machine Learning
Österreich - MLOps: CI/CD for Machine Learning
Schweiz - MLOps: CI/CD for Machine Learning
Deutschland - MLOps: CI/CD for Machine Learning
Czech Republic - MLOps: CI/CD for Machine Learning
Denmark - MLOps: CI/CD for Machine Learning
Estonia - MLOps: CI/CD for Machine Learning
Finland - MLOps: CI/CD for Machine Learning
Greece - MLOps: CI/CD for Machine Learning
Magyarország - MLOps: CI/CD for Machine Learning
Ireland - MLOps: CI/CD for Machine Learning
Luxembourg - MLOps: CI/CD for Machine Learning
Latvia - MLOps: CI/CD for Machine Learning
España - MLOps: CI/CD for Machine Learning
Italia - MLOps: CI/CD for Machine Learning
Lithuania - MLOps: CI/CD for Machine Learning
Nederland - MLOps: CI/CD for Machine Learning
Norway - MLOps: CI/CD for Machine Learning
Portugal - MLOps: CI/CD for Machine Learning
România - MLOps: CI/CD for Machine Learning
Sverige - MLOps: CI/CD for Machine Learning
Türkiye - MLOps: CI/CD for Machine Learning
Malta - MLOps: CI/CD for Machine Learning
Belgique - MLOps: CI/CD for Machine Learning
France - MLOps: CI/CD for Machine Learning
日本 - MLOps: CI/CD for Machine Learning
Australia - MLOps: CI/CD for Machine Learning
Malaysia - MLOps: CI/CD for Machine Learning
New Zealand - MLOps: CI/CD for Machine Learning
Philippines - MLOps: CI/CD for Machine Learning
Singapore - MLOps: CI/CD for Machine Learning
Thailand - MLOps: CI/CD for Machine Learning
Vietnam - MLOps: CI/CD for Machine Learning
Argentina - MLOps: CI/CD for Machine Learning
Chile - MLOps: CI/CD for Machine Learning
Costa Rica - MLOps: CI/CD for Machine Learning
Ecuador - MLOps: CI/CD for Machine Learning
Guatemala - MLOps: CI/CD for Machine Learning
Colombia - MLOps: CI/CD for Machine Learning
México - MLOps: CI/CD for Machine Learning
Panama - MLOps: CI/CD for Machine Learning
Peru - MLOps: CI/CD for Machine Learning
Uruguay - MLOps: CI/CD for Machine Learning
Venezuela - MLOps: CI/CD for Machine Learning
Polska - MLOps: CI/CD for Machine Learning
United Kingdom - MLOps: CI/CD for Machine Learning
South Korea - MLOps: CI/CD for Machine Learning
Bulgaria - MLOps: CI/CD for Machine Learning
Bolivia - MLOps: CI/CD for Machine Learning
Indonesia - MLOps: CI/CD for Machine Learning
Kazakhstan - MLOps: CI/CD for Machine Learning
Moldova - MLOps: CI/CD for Machine Learning
Morocco - MLOps: CI/CD for Machine Learning
Tunisia - MLOps: CI/CD for Machine Learning
Kuwait - MLOps: CI/CD for Machine Learning
Oman - MLOps: CI/CD for Machine Learning
Slovakia - MLOps: CI/CD for Machine Learning
Kenya - MLOps: CI/CD for Machine Learning
Nigeria - MLOps: CI/CD for Machine Learning
Botswana - MLOps: CI/CD for Machine Learning
Slovenia - MLOps: CI/CD for Machine Learning
Croatia - MLOps: CI/CD for Machine Learning
Serbia - MLOps: CI/CD for Machine Learning
Bhutan - MLOps: CI/CD for Machine Learning