All current Data Engineering Courses courses in 2024

53 Courses

Exam Prep DP-600: Microsoft Fabric Analytics Engineer

Exam Prep DP-600: Microsoft Fabric Analytics Engineer The DP-600 certification is your pathway to mastering Microsoft Fabric, ideal for data professionals, analysts, and developers eager to create powerful analytics solutions. Dive into the essentials of data ingestion, transformation, modeling, and visualization to skillfully design and implement.
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Microsoft Fabric Basic Concepts and Configuration

Microsoft Fabric Basic Concepts and Configuration Course Stay ahead in the rapidly evolving world of technology by mastering the Microsoft Fabric platform. This course, Microsoft Fabric Basic Concepts and Configuration, will empower you with a thorough understanding of Microsoft Fabric and its configuration. Throughout the course, you will: Ex.

Mastering Generative AI for Data Engineering

Generative AI skills are highly sought after. A report by Ascend.io indicates that 89% of professionals utilize generative AI in some aspect of their work. According to ZipRecruiter, data engineers with these skills can earn an average salary of USD 115,000, reaching up to USD 179,000 annually. This course is crafted for current and aspiring dat.
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Data Skills for Artificial Intelligence

Data Skills for Artificial Intelligence Artificial Intelligence and Machine Learning have become integral techniques for most services and products, with data being central to robust and successful AI/ML applications. Without solid data management, AI projects frequently underperform or even fail. This series of MOOCs provides unique insights and.
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Generative AI for Data Engineering

Gartner forecasts suggest that by 2027, 80% of the engineering workforce will need to adapt to the rise of generative AI. For data engineers, AI proficiency is set to become crucial for career progression. Data Engineering involves the proficient collection, transformation, and storage of data. The application of generative AI tools enhances these.
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Data Skills for Artificial Intelligence

Data Skills for Artificial Intelligence - Delft University of Technology | edX Explore the intersection of data and Artificial Intelligence with this comprehensive MOOC series designed for aspiring data scientists, machine learning experts, and AI innovators. Presented by Delft University of Technology on edX, this program highlights the impor.
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Data Analytics and Visualization

In today’s data-driven landscape, proficiency in data analytics and visualization is indispensable for professionals across industries. These skills equip employees with the ability to meaningfully contribute to an organization’s insights by empowering them to make well-informed decisions and identify key trends. Data-driven insights can streamlin.
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Security, Compliance, and Governance for AI Solutions (Traditional Chinese)

本課程幫助了解與人工智慧 (AI) 解決方案相關的安全性、合規與管控問題。學習識別 AI 系統的管控和合規要求,及如何使用 Amazon Web Services (AWS) 服務以協助管控與合規。介紹的 AWS 服務可以保護 AI 系統的安全。 課程等級:基礎 課程時長:1 小時 本課程包括互動元素、文字指令和說明性圖形。 課程目標 識別並描述 AI 系統的常見管控和合規考量因素。 描述協助套用管.
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Intro to Snowflake for Devs, Data Scientists, Data Engineers

Intro to Snowflake for Devs, Data Scientists, Data Engineers Unlock the potential of Snowflake with our comprehensive course designed for developers, data scientists, and data engineers. This course introduces you to Snowflake as a powerful platform for building applications, creating data pipelines, and developing AI models and workflows. You'll.
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Data Engineering on AWS - A Batch Data Pipeline Solution (Includes Labs)

Data is constantly flowing into organizations from many sources. To derive insights and value from this data, it needs to go through an orchestrated pipeline of ingestion, storage, processing, and serving stages. This course will teach you how to build scalable, secure, and cost-effective batch data pipelines on AWS. You will learn best practice.
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All upcoming courses at Data Engineering Courses on the AI ​​Education website. Check out all courses Data Engineering Courses and choose the one that's right for you.