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所在平台: Udemy |
课程主页: https://www.udemy.com/course/google-cloud-gcp-professional-data-engineer-certification/
课程评论：没有评论
课程名称：GCP - Google Cloud专业数据工程师认证 课程概述：Google Cloud平台（GCP）是增长最快的公共云服务。专业云数据工程师（PDE）认证可以帮助您在GCP云中部署数据管道。该课程提供了超过16小时的高质量视频内容和80+个实践实验，是一门极具实用性的课程。 来自学生的反馈： ⭐️⭐️⭐️⭐️⭐️ - 强烈推荐Ankit的所有GCP认证课程，这些课程全面且完全实用。 ⭐️⭐️⭐️⭐️⭐️ - 对所有主题有很好的概述，强烈推荐，该课程很好地解释了各种数据服务。 ⭐️⭐️⭐️⭐️⭐️ - 这是我看过的最棒的GCP数据工程师课程之一，学到了很多东西，谢谢@ankit Mistry。 ⭐️⭐️⭐️⭐️⭐️ - 讲师给出了非常详细且易于理解的讲解，并探讨了在Google Cloud控制台中的理论概念，非常实用，强烈推荐。 ⭐️⭐️⭐️⭐️⭐️ - 一门很好的课程，包含大量实践内容，便于跟随学习。 如果您想在GCP中部署数据管道，了解GCP提供的不同存储、数据库、处理和机器学习产品，以获取数据洞察力，或者想学习如何处理互联网最大的应用（如Google搜索、YouTube和GMAIL）的数据，那么您来对地方了。 为什么选择云计算、GCP、认证和数据工程？云计算是未来，GCP是增长最快的公共云。87%的GCP认证人员对自己的云技能更有信心。超过四分之一的GCP认证人员在工作中承担了更多的责任或领导角色。 Google Cloud：专业云数据工程师认证是投资时间和精力、满足数据存储与处理需求的最佳选择。我非常期待帮助您获得Google Cloud专业云数据工程师认证。我创建了这门实用且全面的课程，帮助您准备该认证，课程包含超过16小时的高清质量视频内容。 为什么要注册这门课程？我坚信实践学习，这门课程非常实用： - 80+个实践演示 - 80%实践 + 20%理论 - 高度实用的课程 - 相关性强，涵盖所有主要存储、数据库、处理和机器学习主题 - 幻灯片最少，GCP云控制台应用最多 课程大纲主要覆盖的主题包括： 1. 数据工程与GCP基本服务 2. GCP中的数据存储 3. GCP提供的数据库解决方案 4. GCP中的数据处理 5. GCP的机器学习/人工智能产品 该课程还包括： - 终身访问所有课程材料和更新 - 问答专区 - 30天无理由退款保证 - Udemy完成证书 那么，您还在等什么？现在就注册，我在课程中等您！ 祝好，Ankit Mistry
Google Cloud Platform GCP is Fastest growing Public cloud. PDE (Professional Cloud Data Engineer) certification is the one which help to deploy Data Pipeline inside GCP cloud.This course has 16+ Hours of insanely great video content with 80+ hands-on Lab (Most Practical Course)---------------------------------Some Feedback about course from STUDENTS: 5 ⭐- Recommended ankits all GCP certification course. all are very much comprehensive & fully practical course.5 ⭐- great overview of all topics, highly recommended course good explaination of the various data services5 ⭐- One of the awesome GCP data engineer course i have ever watched, learned a lot, Thank you @ankit Mistry.5 ⭐- The instructor gives very detailed and easy-to-understand explanations. In addition, he explores the theoretical concepts inside the Google Cloud Console. So, it's very practical, as well. I highly recommened.5 ⭐- Good course with lots of practical work to follow along and learn from.---------------------------------Do you want to Deploy Data Pipeline inside GCP.Do you want to learn about different Storage, database, Processing, ML product offering by GCP to get insight about data.Do you want to do Data Processing where Internet's biggest App like Google Search, YouTube, GMAIL (Billion users app) store their data, process data & find meaningful insight with ML from your dataIf Yes, You are at right place.---------------------------------Why Cloud, GCP, Certification, Data Engineering ? Cloud is the future , & GCP is Fastest growing Public cloud.87% of Google Cloud certified individuals are more confident about their cloud skills.More than 1 in 4 of Google Cloud certified individuals took on more responsibility or leadership roles at work.---------------------------------Google Cloud: Professional Cloud Data Engineer Certification is the best to invest time and energy to scale your data storage & processing demand.I am all exited to help you on your journey towards Google Cloud Professional Cloud Data Engineer Certification.So, I created most practical comprehensive course will prepare you for Professional Cloud Data Engineer certification, having 16+ hours of HD quality video content.---------------------------------Why Enroll in this course?I believe in learning by doing and it's very much practical course80+ Hands-on Demo80% Practical's + 20% Theory - Highly Practical courseHighly relevant to exam topicsCovers all major topics related to Storage, Database, processing & MLMinimum on Slides + Maximum on GCP cloud console---------------------------------Have a look at course curriculum, to see depth of Course coverage.Major Theme of this certification course are:---------------------------------1. Data Engineering & GCP Basic ServicesIn this module I will Start with Data engineering pipeline, Different Types of data: structure data, semi-structured data, unstructured data, some concept related to batch data processing and stream data GCP related concepts like GCP region and Zones, how to create a GCP account & various GCP service being offered from the data engineering perspective. Then we'll see about GCP basic infrastructure services like IAM, VM, kubernetes provisioning, app engine, cloud run and cloud function deployment.---------------------------------2. Data Storage in GCPIn this module I will teach you different Data storage product for storing unstructured data, Google cloud storage, file Store, persistent disk storage, local SSD storage and how to do data migration from on-premise to GCP. ---------------------------------3. Database Offering by GCPIn this module I will teach you Database solution for storing structured data & semi-structured data. For storing structured data inside GCP we have a Google cloud SQL and a cloud spanner is available. For semi-structured data inside the GCP we have a Google cloud BigTable, DataStore/firestore and for in memory power MemoryStore available---------------------------------4. Data Processing in GCPIn This Data processing section we will begin with Data warehousing analytical data processing solution google cloud BigQuery and for asynchronous communication we will see Google cloud PubSub services.For developing complete pipeline inside GCP - Dataflow Apache beam solution inside Google cloud Google cloud DataProc for lift and shift Hadoop and Spark job Without writing code with just drag and drop build complete pipeline with cloud Data fusion Monitor Author and schedule a complete workflow we have a Apache airflow - Cloud Composer is available For sensitive and personally identifiable data detection Data loss prevention API - DLP Search for or all data set at one single place Data Catalog is available---------------------------------5. ML/AI offering in GCPIn this module we will begin with basics of Machine learningPrepare your data with intelligent data preparation tool Dataprep before throwing all your data to a machine learning algorithmWe will see different pre-built machine learning API for vision, language and speechDouble auto machine learning model with AutoMLBuilding custom machine learning model with various framework life tensorflow, scikit learn and PytorchBigquery ML for machine learning training with SQLAt the end we will see how to create beautiful reports and visualization with in browser Google cloud data studio tool---------------------------------This course also comes with:Lifetime access to all course material & updatesQ & A SectionA 30 Day Money Back Guarantee - "No Questions Asked"Udemy Certificate of CompletionSo, What are you waiting for, Enroll NOW and I will see you inside course.RegardsAnkit Mistry
