The Programming Buddy Club Logo
The Programming Buddy Club

Google Cloud Certified Professional Data Engineer 2023 | Free Udemy Course
Scroll Down to get the courseGet The Course

Google Cloud Certified Professional Data Engineer 2023 | Free Udemy Course

Free $84.99100% off
Price expires 10 months ago or 686 uses

Theory, Hand-ons and 200 Practice Exam QnA - All Hands-Ons in 1-Click Copy-Paste Style, All Material in Downloadable PDF | Free Udemy Course

top_rated
4.63
(48 ratings)
6412 students
Created by:
Last updated 4/2023Course Language EnglishCourse Caption English [Auto]Course Length 20:09:09 to be exact 72549 seconds!Number of Lectures 92
This course includes:
  • 20 hours hours of on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion
  • 51 additional resources

Designing data processing systemsSelecting the appropriate storage technologies. Considerations include:● Mapping storage systems to business requirements● Data modeling● Trade-offs involving latency, throughput, transactions● Distributed systems● Schema designDesigning data pipelines. Considerations include:● Data publishing and visualization (e.g., BigQuery)● Batch and streaming data (e.g., Dataflow, Dataproc, Apache Beam, Apache Spark and Hadoop ecosystem, Pub/Sub, Apache Kafka)● Online (interactive) vs. batch predictions● Job automation and orchestration (e.g., Cloud Composer)Designing a data processing solution. Considerations include:● Choice of infrastructure● System availability and fault tolerance● Use of distributed systems● Capacity planning● Hybrid cloud and edge computing● Architecture options (e.g., message brokers, message queues, middleware, service-oriented architecture, serverless functions)● At least once, in-order, and exactly once, etc., event processingMigrating data warehousing and data processing. Considerations include:● Awareness of current state and how to migrate a design to a future state● Migrating from on-premises to cloud (Data Transfer Service, Transfer Appliance, Cloud Networking)● Validating a migrationBuilding and operationalizing data processing systemsBuilding and operationalizing storage systems. Considerations include:● Effective use of managed services (Cloud Bigtable, Cloud Spanner, Cloud SQL, BigQuery, Cloud Storage, Datastore, Memorystore)● Storage costs and performance● Life cycle management of dataBuilding and operationalizing pipelines. Considerations include:● Data cleansing● Batch and streaming● Transformation● Data acquisition and import● Integrating with new data sourcesBuilding and operationalizing processing infrastructure. Considerations include:● Provisioning resources● Monitoring pipelines● Adjusting pipelines● Testing and quality controlOperationalizing machine learning modelsLeveraging pre-built ML models as a service. Considerations include:● ML APIs (e.g., Vision API, Speech API)● Customizing ML APIs (e.g., AutoML Vision, Auto ML text)● Conversational experiences (e.g., Dialogflow)Deploying an ML pipeline. Considerations include:● Ingesting appropriate data● Retraining of machine learning models (AI Platform Prediction and Training, BigQuery ML, Kubeflow, Spark ML)● Continuous evaluationChoosing the appropriate training and serving infrastructure. Considerations include:● Distributed vs. single machine● Use of edge compute● Hardware accelerators (e.g., GPU, TPU)Measuring, monitoring, and troubleshooting machine learning models. Considerations include:● Machine learning terminology (e.g., features, labels, models, regression, classification, recommendation, supervised and unsupervised learning, evaluation metrics)● Impact of dependencies of machine learning models● Common sources of error (e.g., assumptions about data)Ensuring solution qualityDesigning for security and compliance. Considerations include:● Identity and access management (e.g., Cloud IAM)● Data security (encryption, key management)● Ensuring privacy (e.g., Data Loss Prevention API)● Legal compliance (e.g., Health Insurance Portability and Accountability Act (HIPAA), Children's Online Privacy Protection Act (COPPA), FedRAMP, General Data Protection Regulation (GDPR))Ensuring scalability and efficiency. Considerations include:● Building and running test suites● Pipeline monitoring (e.g., Cloud Monitoring)● Assessing, troubleshooting, and improving data representations and data processing infrastructure● Resizing and autoscaling resourcesEnsuring reliability and fidelity. Considerations include:● Performing data preparation and quality control (e.g., Dataprep)● Verification and monitoring● Planning, executing, and stress testing data recovery (fault tolerance, rerunning failed jobs, performing retrospective re-analysis)● Choosing between ACID, idempotent, eventually consistent requirementsEnsuring flexibility and portability. Considerations include:● Mapping to current and future business requirements● Designing for data and application portability (e.g., multicloud, data residency requirements)● Data staging, cataloging, and discoveryWho this course is for:BeginnerIntermediateAdvanced

Course Content:

Sections are minimized for better readability, click the section title to view the course content

11 Lectures | 54:47
2 Lectures | 23:52
1 Lectures | 08:22
2 Lectures | 20:55
2 Lectures | 22:07
3 Lectures | 55:22
3 Lectures | 37:27
3 Lectures | 31:07
4 Lectures | 53:11
2 Lectures | 37:28
3 Lectures | 49:33
3 Lectures | 31:24
3 Lectures | 33:04
3 Lectures | 29:49
2 Lectures | 09:51
2 Lectures | 28:08
1 Lectures | 11:24
2 Lectures | 24:21
1 Lectures | 11:32
10 Lectures | 02:37:38
4 Lectures | 01:26:19
25 Lectures | 06:31:28
4.63
(48 course ratings)
1
1/48
2
0/48
3
4/48
4
3/48
5
40/48

JOIN OUR WHATSAPP GROUP TO GET LATEST COUPON AS SOON AS UPDATED

JOIN WHATSAPP

JOIN OUR TELEGRAM CHANNEL TO GET LATEST COUPON

JOIN TELEGRAM

JOIN OUR FACEBOOK GROUP TO GET LATEST COUPON

JOIN FACEBOOK
If you like to get inspired by great web projects, you should check out Made with Javascript. If you have a project that you wish to share with the world, feel free to submit your project on Made with Javascript Club website.

Free Online Tools And Converters for your use

URL Encoder

Input a string of text or a URL and encode the entered string

Try it

URL Decoder

Input an encoded string of text or a URL and decode the entered string

Try it

Color Contrast Checker (WCAG)

Calculate the color contrast ration for your website (WCAG)

Try it

XML Formatter

Paste or upload an XML and have it formatted to a beautiful XML format

Try it

URL Slug Generator

Convert any title or sentence into a variety of slugs for your pages URL

Try it

E-Signature

Draw an e-signature or type a signature for your online signature

Try it

FAQ: Udemy Free course Most frequent questions and answers

Does Udemy offer Free Udemy coupons?

Yes, Udemy is the largest online education platform, with the broadest selection of video-on-demand courses and qualified instructors available to meet your needs. At theprogrammingbuddy.club we curate the latest udemy coupons, their expiry, and the number of uses left of these udemy coupons.

How to get free Udemy courses?

There are two ways to get free Udemy courses:

  1. Go to udemy.com and search for your desired course category. Then select free from the filter options.
  2. You can also get paid courses for free if you have a coupon. You can head to theprogrammingbuddy.club, where you can get a daily udemy paid course for free.

How to get Udemy Certificates for free?

Udemy offers certification on completion of each course. In order to receive a certificate of completion from Udemy, you need to complete your course 100%. There is a simple hack, you can open a video and jump on the timeline to complete a lecture.

To download the certificate from Udemy, you need to head over to your account on a desktop browser. Udemy certificates can't be accessed on the mobile app.

Do Udemy courses expire?

No, once you enroll, you will have lifetime access to the course. You can complete the course on your schedule.

Why are the Udemy instructors giving away free Udemy Coupons?

Every instructor has worked for hours on each of their courses. As new courses get launched, the instructors have no way to get their course in front of an audience to get some feedback. So, instructors share free coupons for their courses to get feedback from the students. We attheprogrammingbuddy.club work with these instructors to get their courses available to our buddies.

Is Udemy safe to use?

Yes, payments on Udemy are safe. It is no different than paying for other services on an application or website and inputting your payment information before receiving your goods. Just be sure to keep your account secure, do not share your udemy accounts.

Can Udemy courses get you a job?

Earning a skill is more valuable than earning a job these days. Skills are your most valuable asset. They can help you qualify for jobs you want and get promoted to more advanced positions within your organization. Unfortunately, it is difficult for many people to balance taking courses with work and family obligations. We have had many students, who have taken just Udemy courses, started a job as well as started freelancing with the skills they have learned.