What is GCP?
Google Cloud Platform (GCP) is a collection of cloud computing services that allow users to develop, deploy, and operate original applications on the web. GCP carries a cloud computing infrastructure that facilitates it in keeping track of the resources (e.g., storage, processing speed, and power, network connectivity, database queries, etc.) of an application or a website, whenever it is run on the cloud platform.
How is GCP used?
Zippia reviewed thousands of resumes to understand how gcp is used in different jobs. Explore the list of common job responsibilities related to gcp below:
- Developed operational workflows, guidances, and SOPs to ensure compliance with GCP standards.
- Reviewed data from a global Phase III cardiovascular trial to verify adherence to study protocol and ICH GCP.
- Utilized sample testing and analysis with Good Laboratory Practices (GLP), Good Clinical Practices (GCP).
- Documented trial compliance with currently approved protocol / amendment(s), GCP, and applicable regulatory requirement.
- Cleaned databases through manual data listing review and discrepancy management in accordance with ICH and GCP guidelines
- Demonstrated Good Clinical Practice (GCP) for Cancer and Leukemia Group B (CALGB) and sponsored clinical trials.
Are GCP skills in demand?
Yes, gcp skills are in demand today. Currently, 15,104 job openings list gcp skills as a requirement. The job descriptions that most frequently include gcp skills are clinical data management manager, clinical study manager, and clinical research director.
How hard is it to learn GCP?
Based on the average complexity level of the jobs that use gcp the most: clinical data management manager, clinical study manager, and clinical research director. The complexity level of these jobs is challenging.
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What jobs can you get with GCP skills?
You can get a job as a clinical data management manager, clinical study manager, and clinical research director with gcp skills. After analyzing resumes and job postings, we identified these as the most common job titles for candidates with gcp skills.
Clinical Data Management Manager
Job description:
Clinical data management managers perform database development tests to support the clinical studies assigned to them. These managers must have collaboration and communication skills to work smoothly with other internal departments and fellow managers. They lead problem-solving in data collection, quality control, and improving their current data management process. Their job is to become a model that works and reinforces their company's vision and mission. They also ensure those project deadlines are met by organizing and distributing workloads and schedules to the staff.
- GCP
- Data Management
- Clinical Research
- CRO
- Data Collection
- FDA
Clinical Study Manager
Job description:
A clinical study manager is primarily in charge of overseeing the efforts in conducting clinical studies, ensuring everything runs smoothly and efficiently. Their responsibilities include setting objectives, organizing budgets and schedules, establishing guidelines, delegating tasks, and developing strategies to optimize operations. They must also monitor the progress of the studies, conducting corrective measures when needed. Furthermore, as a clinical study manager, it is essential to lead and coordinate the workforce to reach goals, all while implementing the company's policies and regulations, including the study's vision and mission.
- GCP
- Informed Consent
- Oversight
- Clinical Operations
- ICH
- Data Management
Clinical Research Director
Job description:
Clinical research directors are responsible for providing leadership in a clinical research setting. These directors oversee the development and evaluation of drugs and the program designs to prevent and treat contagious diseases as a part of their main responsibility. They gather information on progress reports and create new strategies to present them to higher management. This job requires them to have strong communication and leadership skills to thrive in their role and confidence in themselves to perform their duties without worry.
- Patients
- Clinical Trials
- Oversight
- FDA
- GCP
- Clinical Development
Clinical Data Coordinator
Job description:
A clinical data coordinator is primarily in charge of managing and organizing data gathered from various clinical research programs. Their responsibilities revolve around coordinating with different departments, updating databases with accurate information, identifying errors and inconsistencies, performing corrective measures, and maintaining records of all transactions. They must also handle the documentation procedures, review sites, liaise with external vendors and suppliers, conduct audits, and train new staff. Furthermore, as a clinical data coordinator, it is essential to lead and encourage the team to reach goals, all while implementing the company's safety policies and regulations.
- Patients
- Data Management
- Data Collection
- GCP
- Data Validation
- FDA
Associate Director, Quality Assurance
Job description:
Quality analysts act as problem solvers and testers of products or services in the production phase. They are responsible for the development and support of testing, process planning, design, and execution. These professionals need to have skills such as good communication skills, logic and reasoning, information technology skills, and a creative mindset. They should also be equipped with knowledge about the testing techniques. A computer science bachelor's degree or any of its associated fields is necessary to become a quality analyst.
- Qa Management
- FDA
- GMP
- GCP
- ICH
- CAPA
Director Of Clinical Operations
Job description:
A director of clinical operations is responsible for monitoring the overall operations of a clinic facility, ensuring the efficiency of staff performance in providing the best quality care services for the patients. Directors of clinical operations enforce safety guidelines and security procedures during operations for everyone's strict compliance to prevent hazards and unforeseen circumstances within the premises. They also assist in clinical trials, as well as reviewing medical procedures, recommending strategic plans to improve medical approaches. A director of clinical operations handles the clinic budget, allocates adequate resources for every department's needs, and tracks medical inventory reports.
- Clinical Operations
- Patients
- Healthcare
- Patient Care
- GCP
- Project Management
How much can you earn with GCP skills?
You can earn up to $124,696 a year with gcp skills if you become a clinical data management manager, the highest-paying job that requires gcp skills. Clinical study managers can earn the second-highest salary among jobs that use Python, $78,195 a year.
| Job title | Average salary | Hourly rate |
|---|---|---|
| Clinical Data Management Manager | $124,696 | $60 |
| Clinical Study Manager | $78,195 | $38 |
| Clinical Research Director | $100,744 | $48 |
| Clinical Data Coordinator | $66,880 | $32 |
| Associate Director, Quality Assurance | $131,112 | $63 |
Companies using GCP in 2025
The top companies that look for employees with gcp skills are Oracle, Capital One, and Merck. In the millions of job postings we reviewed, these companies mention gcp skills most frequently.
| Rank | Company | % of all skills | Job openings |
|---|---|---|---|
| 1 | Oracle | 18% | 48,664 |
| 2 | Capital One | 11% | 5,766 |
| 3 | Merck | 9% | 1,571 |
| 4 | Deloitte | 7% | 23,781 |
| 5 | Johnson & Johnson | 6% | 1,780 |
Departments using GCP
| Department | Average salary |
|---|---|
| IT | $92,434 |
20 courses for GCP skills
1. Good Clinical Practice (GCP)
The principles of Good Clinical Practice (GCP) underpin the legal requirements for the conduct of clinical trials around the world. Originally developed as a unified standard by the European Union (EU), Japan and the United States (US), it also forms the basis of national regulation in many other countries, including China, India, Korea and Brazil. A strong understanding of GCP is a fundamental requirement for anyone intending to develop a career in any aspect of clinical research, whether in industry, healthcare provision or academia. This course introduces GCP for new professionals, but also serves as a refresher for those who feel they need it. The programme is clear and simple in design and gives full instructions for use. Multi user pricing options are available. Contact us for more information...
2. Introduction to Trading, Machine Learning & GCP
In this course, you’ll learn about the fundamentals of trading, including the concept of trend, returns, stop-loss, and volatility. You will learn how to identify the profit source and structure of basic quantitative trading strategies. This course will help you gauge how well the model generalizes its learning, explain the differences between regression and forecasting, and identify the steps needed to create development and implementation backtesters. By the end of the course, you will be able to use Google Cloud Platform to build basic machine learning models in Jupyter Notebooks. To be successful in this course, you should have advanced competency in Python programming and familiarity with pertinent libraries for machine learning, such as Scikit-Learn, StatsModels, and Pandas. Experience with SQL is recommended. You should have a background in statistics (expected values and standard deviation, Gaussian distributions, higher moments, probability, linear regressions) and foundational knowledge of financial markets (equities, bonds, derivatives, market structure, hedging)...
3. Google Cloud (GCP) Professional Cloud Architect
Immerse in a classroom style coaching of GCP cloud architect certification topics, regularly updated with in-depth lectures and bonus topics to broaden your architecture knowledge. Continuously updated with new GCP product launches (GA) and feature enhancements. This course is also ideal for cloud professionals from AWS & Azure background to familiarise themselves with GCP. This course focuses on building your architect instinct, which is supplemented with industry use cases, data management, master data management and data and analytics ecosystem. Every aspect of GCP services has been categorised into use cases and comparative categories to help you become an informed architect. Being a cloud architect is not just about technical details, but also about business strategy, planning, development and operations of GCP platforms. The business process and technical process help facilitate Return on Investment (ROI) for business and technical requirements. Course Structure: Cloud Architect Certification Details & ResourcesThe Basics & GCP Console tour (IAM, Network & Access, Org Hierarchy)Certification Case Study (EHR Healthcare, Helicopter Racing League added)GCP Core Services(Network, Compute, Storage, Big Data, Databases, Security, Operations, Artificial Intelligence)Architecture landscape (Business & Technical Requirements, Microservices, DevOps, GCP Architecture Framework) Reference Architecture (Data Lifecycle, Industry Use Cases)Certification Refresher and Mock tests (1 hour refresher video of all GCP services, Actual 2-hour test)Extras (Multi and Hybrid Cloud Architecture, Anthos, Kubernetes Engine, GCP Tools, ML & AI and others)Take this journey to be an architect beyond textbook and click-where taxonomies...
4. GCP Associate Cloud Engineer Practice Exam
These practice exams are the last preparation mile for someone who is appearing for the Google cloud Certified Associate Cloud Engineer certification exam. These practice exams are designed based on the latest exam patterns. For every individual question there is a good amount of explanation provided along with good reference articles and documentation wherever possible. If you understand all the question pattern and reasoning for the right answers in all practice exams, we guarantee your certification exam clearance in first attempt. More than 400 practice questions which will provide you deep insights around the questions that appears in Google Cloud real exams and make you mentally ready to attend an Google Cloud certification exam with full confidence of clearing it with a 100 % success rate. If you are not satisfied for any reason there is 30 days money back guarantee...
5. Google Cloud Platform (GCP) for Beginner
This course will help you in becoming a Google Cloud Certified Architect. It will help in learning what are the various cloud offerings in Google cloud and how to use those offerings. This is an ideal course to learn about Google cloud for all developers and cloud engineers. It will help in boosting your career. This course covers1. What is Cloud.2. Why use Google Cloud3. What are resources in Cloud.4. What is identity or member in cloud.5. How to use IAM in Google cloud and ensure security in Cloud6. What are the compute offerings in GCP and how to use those compute offerings. It also covers where to use which compute offerings7. What are the data storage services offered in Google Cloud and what are the best practices to store and analyze data in Google Cloud.8. How to distribute request traffic among application backends using various load balancer options in GCP 9. How to migrate existing Bigdata applications in GCP. 10. How to set up a new Bigdata ETL pipeline in Google Cloud by using Dataflow11. How to capture and analyze logs in GCP12. How to monitor applications in Google Cloud13. How to set up CI/CD pipeline in Google Cloud14. How to use IAC in Google cloud. Next level courseExcel as Google Certified Cloud Architect...
6. Data Engineering, Big Data, and Machine Learning on GCP
87% of Google Cloud certified users feel more confident in their cloud skills. This program provides the skills you need to advance your career and provides training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification.\n\nHere's what you have to do\n\n1) Complete the Coursera Data Engineering Professional Certificate\n\n2) Review other recommended resources for the Google Cloud Professional Data Engineer certification exam\n\n3) Review the Professional Data Engineer exam guide\n\n4) Complete Professional Data Engineer sample questions\n\n5) Register for the Google Cloud certification exam (remotely or at a test center)\n\nApplied Learning Project\n\nThis professional certificate incorporates hands-on labs using Qwiklabs platform.These hands on components will let you apply the skills you learn. Projects incorporate Google Cloud products used within Qwiklabs. You will gain practical hands-on experience with the concepts explained throughout the modules...
7. GCP Google Cloud Professional DevOps Engineer Certification
Google Cloud Platform GCP is Fastest growing Public cloud. Professional Cloud DevOps certification is the one which help you to advance your career in Cloud Computing & learn about DevOps, CI CD pipeline in the context of GCP. Welcome to my course on Google Cloud Professional DevOps Engineer Certification, Which is one of most updated best course on internet. This course has 12 Hours of insanely great video content with 70 hands-on Lab (Most Practical Course)Do you want to learn about SRE and DevOps principalDo you want to know how to deploy application to multiple compute products on GCPhow to setup CI CD pipeline on Google cloudHow to monitor and log your application on Google cloudDo you want to learn How to secure container deploymentIf yes, You are at right place. Cloud is the future and GCP is Fastest growing Public cloud.87 percentage 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 Engineer Certification is the best to invest time and energy to enhance your knowledge about DevOps. So, I created most practical comprehensive course will prepare you for Professional Cloud DevOps Engineer certification. I am all exited to help you on your journey towards Google Cloud Professional Cloud DevOps Engineer Certification. and So, Designed most comprehensive training on GCP, having 12 hours of HD quality video content. I believe in learning by doing and it's very much practical course70 Hands-on Demo80 percentage Practicals + 20 percentage Theory - Highly Practical course Highly relevant to exam topicsCovers all major topics related to SRE, DevOps, CI CD pipeline, Monitoring, logging, container securityMinimum on Slides + Maximum on GCP cloud consoleHave a look at course curriculum, to see depth of Course coverage. Major Theme of certification course topics: 1. DevOps & SRE PrincipalIn this module I will teach you DevOps best practices principle on which DevOps concept developed and how to implement all those DevOps practices with site reliability engineering concept like error budget, blameless post mortem, toil automation SLI, SLO, SLA.2. CI/CD Pipeline implementationIn this module I will teach you about some docker basics how to create docker images and push to the central repository. How to deploy your application to various computer product in a GCP environment. We will implement 5 CI CD pipeline with the help of various GCP services like cloud source repositories, cloud build, artifact registry container registry, cloud deployment manager.3. Other toolsHere we will learn about the two important toll Jenkins and terraform.4. Container security deploymentIn this module we will learn about various products of which we make secure container deployment like binary authorization, container scanning API and Google manage Base image to make your docker image more secure5. Monitoring and logging In this module we will learn how to monitor and lock service with cloud monitoring and logging and its various features like uptime check, alerting policy, Log exploration, Log router, Log sink, Log base metrics, debugger, trace and error reporting6. Optimization of ResourcesIn this section we will learn about few topics optimize your service resource from various perspective like Billing, total cost of consideration, preemptible virtual Machine at a reduced cost, Discounts. 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...
8. GCP Associate Cloud Engineer Certification: Google Cloud
Google Cloud Platform GCP is Fastest growing Public cloud. ACE certification is first step to dive in GCP. This course has 18+ Hours of insanely great video content with 90+ hands-on Lab (Most Practical Course)---------------------------------Some Feedback about course from STUDENTS: 5 ⭐- I absolutely recommend this course for GCP beginner (with zero cloud experience). This course contains a lot of hands-on which is very good. The instructor is Indian but the accent is good enough for me to understand (I'm Vietnamese).5 ⭐- Really good, I have joined this coz of not only gain fundamental knowledge even practical knowledge as well. And I found it exactly what I want. Thanks for sharing knowledge in such manner.5 ⭐- Enjoyed instructor teaching, step by step in depth understanding of every single topic in ace exam. highly recommend this course for GCP beginners.5 ⭐- I've learned a lot about GCP in this course. This is a really nice course. It will prepare you for ACE certification. Great, Lots of Hands-on Demo.---------------------------------Do you want to Learn cloud where Internet's biggest App like Google Search, YouTube, GMAIL deployed or Database which powers such billion user app. If you are interested to deploy & learn about planet scale Cloud Infra, you are at right place. I am here to help you prepare and pass ACE certification. 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 Associate Engineer Certification is the first step to dive in Google Cloud World. So, I created course will prepare you for Associate Cloud Engineer and build foundation for advanced Professional GCP certification.---------------------------------I am all exited to help you on your journey towards Google Cloud Associate Engineer Certification. and So, Designed most comprehensive training on GCP, having 17+ hours of HD quality video content. I believe in learning by doing and it's very much practical course90+ Hands-on Demo80% Practical's + 20% Theory - Highly Practical courseQuizzes after major concepts/product to test your understandingThis course will cover 100% exam objective of Associate cloud Engineer ExamHighly relevant to exam topicsCovers all major category of product in GCP Compute, Storage, Database, Networking, IAM. Minimum on Slides + Maximum on GCP cloud console---------------------------------Have a look at course curriculum, to see depth of Course coverage. All Exam objective mapped to one video lecture and in some case more than 1 video to fully explain depth of topics. Major Theme of certification course topics: ---------------------------------1. Setting up a cloud solution environment In this module I will teach you getting started with Google cloud platform, setting up your first GCP project, associate with billing account and get yourself comfortable with two important tool to access different GCP resources GCP cloud cell and GCP cloud console.---------------------------------2. Planning and configuring a cloud solution In this module I will teach you how to select different resources based on your business requirement and technical needs in a compute engine , database, storage category.---------------------------------3. Deploying and implementing a cloud solution This module is bit longer where we are going to learn about how to provision different resources inside the Google cloud platform. Resource in compute engine category like Virtual Machine, kubernetes engine, Google app engine, Cloud run, Cloud function, Different database and storage products like Cloud Storage, Google cloud SQL, Google cloud spanner, Cloud Bigtable, Bigquery, Pubsub, Data flow, Data proc, Networking related resources VPC, Subnet, Firewall, VPC Peering Readymade solution from Cloud MarketplaceDeploy resources with cloud deployment manager template (IAAC - Infrastructure as a code)---------------------------------4. Ensuring successful operation of a cloud solutionIn this module we will learn how to manage operation related to services we provision in module 3. Although many services operation covered in earlier module while learning individual product. Google cloud monitoring tools to monitor different services---------------------------------5. Configuring access and securityIn this module we get to know about how to give least privilege role to individual user, IAM identity & access management module to secure different GCP resources.---------------------------------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...
9. Google Cloud Cost Optimization Technique - GCP
Google Cloud Platform GCP is Fastest growing Public cloud. Reducing Cloud Bill with same performance of application is the primary responsibility of any cloud engineer and Architect. Google Cloud Cost Optimization course is the one which help you to advance your career in Cloud Computing & learn about different optimization to reduce cost in google cloud. Welcome to my course on Google Cloud Cost Optimization, Which is one of most updated best course on internet. This course has 5+Hours of insanely great video content with Lots of hands-on Lab (Most Practical Course)Cloud is the future and GCP is Fastest growing Public cloud.87 percentage 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. I am all exited to help you on your journey towards Google Cloud Cost Optimization. I believe in learning by doing and it's very much practical courseComplete Hands-on Demo on each TechniqueMinimum on Slides + Maximum on GCP cloud console30+ trick to reduce cost optimizationHave a look at course curriculum, to see depth of Course coverage. This course also comes with: Lifetime access to all course material & updatesQ & A SectionUdemy Certificate of CompletionSo, What are you waiting for, Enroll NOW, reduce your GCP Costing and I will see you inside course. RegardsAnkit Mistry...
10. GCP Professional Cloud Architect: Google Cloud Certification
ONLY COURSE YOU NEED TO GET READY for Google Cloud (GCP) Certified Professional Cloud Architect Exam!6 Things YOU need to know about this Google Cloud Professional Cloud Architect Course:#1: BRAND NEW (with 4 new case studies - EHR Healthcare, Helicopter Racing League, Mountkirk Games and TerramEarth)#2: HANDS-ON - The best way to learn GCP (Google Cloud Platform) is to get your hands dirty!#3: Designed for ABSOLUTE BEGINNERS to GCP (Google Cloud Platform)#4: MULTI-CLOUD INSTRUCTOR - MORE THAN 100,000 Learners are learning AWS, Azure, and Google Cloud with us#5: COMPLETE PREP for Google Cloud Professional Cloud Architect#6: FREE Downloadable PDF - Quickly Review for the examWHAT STUDENTS ARE SAYING5 STARS - I have cleared GCP certified Architect today. Thanks to Ranga sir for a really nicely outlined course.!!5 STARS - The course is very well structured. All the topics are covered in detail and the explanation is very clear. Thanks to Ranga and the team.5 STARS - Ranga does a great job in keeping topics atomic while covering everything required. The content is easy to understand as well.5 STARS - I could not skip a single lecture, the content was so engaging and interesting!! Thanks a lot for such an awesome course!5 STARS - Just Awesome. I have gone through many udemy courses for gcp architect exam but the way you explain architecture aspects is just incredible. You covered most of the critical architecture guidelines recommended by GCP and explained it so well. Why should do a Google Cloud Certification?Here are few results from Google's 2020 Survey:87% of Google Cloud certified individuals are more confident about their cloud skillsGCP Cloud Architect was the highest paying certification of 2020 (2) and 2019 (3)More than 1 in 4 of Google Cloud certified individuals took on more responsibility or leadership roles at workWhy should you aim for Google Cloud - GCP Cloud Architect Certification?Google Cloud Professional Cloud Architect certification helps you gain an understanding of cloud architecture and Google Cloud Platform. As a Cloud Architect, you will learn to design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives. The Google Cloud Certified - Professional Cloud Architect exam assesses your ability to: Design and architect a GCP solution architectureManage and provision the GCP solution infrastructureDesign for security and complianceAnalyze and optimize technical and business processesManage implementations of Google Cloud architectureEnsure solution and operations reliabilityWe have designed this amazing course to help you learn the Compute, Storage, Database, and Networking solutions in Google Cloud (GCP). Are you ready to get started on this amazing journey to becoming a Google Cloud Architect?Do you want to join 600,000+ learners having Amazing Learning Experiences with in28Minutes?Look No Further!...
11. Google Cloud Platform (GCP) Data Storage Management
Google Cloud is growing quickly as companies increasingly adopt multi-cloud strategies. It was once again named a Leader in the 2019 Gartner Infrastructure as a Service Magic Quadrant, and demand for people with Google Cloud skills is running high. According to Global Knowledge's Survey for 2020 a GCP Cloud Architect had the highest salary at $179,000. Getting Google Cloud Certified or even just learning more can add value to your career earningsTo meet this demand and help organizations identify knowledgeable talent, Google has created their Associate Cloud Engineer certification. The following path will guide you along as you build your Google Cloud skills. Course OverviewDuring this course we will cover storage requirements around Google Cloud Platform which has you enterprise covered. GCP offers object storage for different needs and price points as well as managed MySQL and globally-scalable NoSQL databases. GCPs archival storage provides industry-leading pricing with the performance of disc. Different applications and workloads require different storage and database solutions. GCP offers a full suite of industry-leading storage services that are price performance and meet your needs for structured, unstructured, transactional, and relational data. This course will help you identify the solutions that fit your scenarios, whether they are mobile applications, hosting commercial software, data pipelines, or storing backups. Why use GCP Storage and database products? Higher Productivity is gained through Quick Access to Innovation: GLess Disruption is Caused When Users Adopt New Functionality: Employees Can Work From Anywhere: Google Cloud Allows Quick Collaboration: Customers are protected by Google's Investments in Security: Less Data has to be stored on Vulnerable Devices: Customers get Higher Uptime and ReliabilityControl and Flexibility Available to UsersGoogle's Economies of Scale Let Customers Spend Less:...
12. GCP Google Cloud Professional Cloud Developer Certification
Google Cloud Platform GCP is Fastest growing Public cloud. Professional Cloud Developer certification is the one which help you to advance your career in Cloud Computing & learn about lots of Google Cloud Service. Welcome to my course on Google Cloud Professional Certification, Which is one of most updated best course on internet. This course has 27 Hours+ of insanely great video content with 100 plus hands-on Lab (Most Practical Course)Do you want to learn about the different GCP services from Developer perspective. You want to deploy application in a network where Google biggest application like search, YouTube, Play store has been deployed. Do you want to learn about various Compute, Storage & DevOps product. If yes, You are at right place. Cloud is the future and GCP is Fastest growing Public cloud.87 percentage 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 Developer Certification is the best to invest time and energy to enhance your knowledge about Google Cloud. So, I created most practical comprehensive course will prepare you for Professional Cloud Developer certification. I am all exited to help you on your journey towards Google Cloud Professional Cloud Developer Certification. and So, Designed most comprehensive training on GCP, having 27 hours+ of HD quality video content. I believe in learning by doing and it's very much practical course100+ Hands-on Demo80% Practical + 20% Theory - Highly Practical courseHighly relevant to exam topicsCovers all major topics related to compute, storage, database, networking, VPC, firewall, IAP, KMS, Secret manager, Devops, Build, PubSub, CI/CD Pipeline, Monitoring, LoggingMinimum on Slides + Maximum on GCP cloud consoleHave a look at course curriculum, to see depth of Course coverage. Major Theme of course topics:-----------------------------1. GCP Basics, Console, Shell, SDK, CLI, API, Billing, IAMIn this module I will teach you creating account, regions, zone, accessing GCP services from SDK, Console, manage GCP services API, Dealing Billing Account, identity & access management, service account, roles, permission, policy-----------------------------2. Compute ProductsIn this module I will teach you various compute product to deploy application on Google compute engine (GCE), Google kubernetes engine (GKE), cloud run, Google app engine and Google cloud function-----------------------------3. Storage ServicesHere we will learn how to store various unstructured data with Google cloud storage services and Persistent disk is attached to computer engine already covered in a computer engine section. How to securely store your data with Google cloud KMS and store your secret with cloud secret manager.-----------------------------4. Database ServicesIn this module we will learn about various database service for storing SQL and NoSQL database like Google Cloud SQL, Google cloud spanner, Google cloud big table, firestore, memorystore and datastore.-----------------------------5. Cloud IAPIn this module we will learn how to secure app at http, TCP & SSH level using Identity aware proxy. -----------------------------6. SREIn this module I will teach you DevOps best practices principle on which DevOps concept developed and how to implement all those DevOps practices with site reliability engineering concept like error budget, blameless post mortem, toil automation SLI, SLO, SLA.-----------------------------7. CI/CD PipelineIn these section we learn about how to implement complete CI/CD pipeline with CSR - Cloud source repository, cloud build and Cloudbuild. yaml file for complete CI/CD pipeline steps.-----------------------------8. Operation ToolIn this few section we will be learning monitoring and logging tool to continuously observe your deployed application on a various GCP products-----------------------------This course also comes with: Lifetime access to all course material & updatesQ & A SectionA 30 Day Money Back Guarantee - No Questions AskedUdemy Certificate of CompletionSo, What are you waiting for, Enroll NOW and I will see you inside course. RegardsAnkit Mistry...
13. Google Cloud Platform (GCP) Fundamentals for Beginners
Are you brand new to Google Cloud Platform (GCP)? Do you need to learn the basics of key GCP services? If so, this course is for you! Hi, I am Janakiram MSV, a Google Certified Professional Cloud Architect and also a Google Developer Expert for Cloud and IoT technologies. With 10+ years' experience working on Cloud Computing at Microsoft and Amazon Web Services, I can ensure you that this course is the perfect resource to jumpstart your GCP journey. GCP is one of the fastest-growing cloud platforms in the industry. This course aims to provide a thorough overview of GCP. From the core building blocks such as Compute, Storage, and Networking to the advanced services, this course introduces the key concepts and then shows you how to start being productive. Each section includes a hands-on demo of one of the key services. You will also learn the use cases and scenarios for some of the most significant services of Google Cloud. This course is carefully designed to help beginners get started with GCP. Topics covered include: The Big Picture of GCPEssential building blocksComputeStorageNetworkIdentity ManagementAdditional ServicesDatabasesData and AnalyticsArtificial Intelligence & Machine LearningDevOps and Developer ToolsEnterprise ServicesJoin me in this course if you're ready to dive into GCP. You won't be disappointed!...
14. Google Cloud Developer - GCP Professional Certification
ONLY COURSE YOU NEED TO GET READY for Google Cloud (GCP) Certified Professional Cloud Developer Exam!6 Things YOU need to know about this Google Cloud Professional Cloud Developer Course:#1: BRAND NEW - JULY 2021 (with case study)#2: HANDS-ON - The best way to learn GCP (Google Cloud Platform) is to get your hands dirty!#3: Designed for ABSOLUTE BEGINNERS to GCP (Google Cloud Platform)#4: MULTI-CLOUD INSTRUCTOR - MORE THAN 100,000 Learners are learning AWS, Azure, and Google Cloud with us#5: COMPLETE PREP for Google Cloud Professional Cloud Developer#6: FREE Downloadable PDF - Quickly Review for the examWhy should do a Google Cloud Certification?Here are few results from Google's 2020 Survey:87% of Google Cloud certified individuals are more confident about their cloud skillsMore than 1 in 4 of Google Cloud certified individuals took on more responsibility or leadership roles at workWhy should you aim for Google Cloud - GCP Cloud Developer Certification?Google Cloud Professional Cloud Developer certification helps you gain an understanding of cloud architecture and Google Cloud Platform. As a Cloud Developer, you will learn to design, develop, and deploy amazing solutions to the Google Cloud Platform. The Google Cloud Certified - Professional Cloud Developer exam assesses your ability to: Design highly scalable, available, and reliable cloud-native applicationsBuild and test applicationsDeploy applicationsIntegrate Google Cloud servicesManage application performance monitoringWe have designed this amazing course to help you learn the Compute, Storage, Database, and Networking solutions in Google Cloud (GCP). Are you ready to get started on this amazing journey to becoming a Google Cloud Developer?Do you want to join 700,000+ learners having Amazing Learning Experiences with in28Minutes?Look No Further!...
15. Google Cloud Platform (GCP) - For Techs
Would you like to gain technical knowledge about Google Cloud Platform? Google Cloud Platform is a very hot topic now. If you learn it now in a practical way, you will not only ace that interview and perform well in your job, but you will be able to troubleshoot in a more efficient way. After all applied knowledge is power, right? In this course, you will learn IAM, Google Cloud Compute Engine, VPC, CDN, Loadbalancing, Autoscaling, Cloud SQL, Spanner, Buckets and Datastore with hands-on demos. More contents like Pub/Sub, App Engine, Stackdriver etc., will be added in near future...
16. Practice Exams Google Professional Cloud Developer (GCP)
Are you gearing up for the Google Professional Cloud Developer certification exam? Welcome to the ideal place to evaluate your preparedness through our specially designed practice exams. Our tests assess your proficiency in building scalable and highly available applications utilizing Google's robust tools and adhering to the industry's best practices. Succeeding in this exam will spotlight your expertise in cloud-native applications. It will showcase your ability to employ the right tools for development, leverage managed services, and utilize cutting-edge databases. Why is this significant? Because it amplifies your career prospects. Professionals with these skills are in high demand in today's industry. In this course, we present a collection of practice tests comprising both essential knowledge questions that every cloud development professional must know, and specialized queries. Here's what we offer:254 unique, high-quality test questions. Detailed explanations for both correct and incorrect answers. Insights into best practices, enriched with references to official guidelines. Importantly, our materials do not include outdated 'Case Studies' questions, which have been officially excluded from the exam by Google. Our content is carefully curated to enhance your understanding and prime you for success with our well-constructed materials. So, don't hesitate. Embark on this journey and put your knowledge to the test with our practice exams! Quality speaks for itself.. SAMPLE QUESTION: You recently developed a new service on Cloud Run. The new service authenticates using a custom service, and then writes transactional information to a Cloud Spanner database. You need to verify that your application can support up to 5,000 read transactions and 1,000 write transactions per second while identifying any bottlenecks that may occur. Your test infrastructure must also be able to autoscale. What should you do?A. Build a test harness to generate requests and deploy it to Cloud Run. Analyze the VPC Flow Logs using Cloud Logging. B. Create a Google Kubernetes Engine cluster running the Locust or JMeter images to dynamically generate load tests. Analyze the results using Cloud Trace. C. Create a Cloud Task to generate a test load. Use Cloud Scheduler to run 60,000 Cloud Task transactions per minute for 10 minutes. Analyze the results using Cloud Monitoring. D. Create a Compute Engine instance that uses a LAMP stack image from the Marketplace, and use Apache Bench to generate load tests against the service. Analyze the results using Cloud Trace. What's your guess? Scroll below for the answer.. ExplanationIncorrect Answers: A. Build a test harness to generate requests and deploy it to Cloud Run. Analyze the VPC Flow Logs using Cloud Logging. Deploying a test harness to Cloud Run would not be an ideal approach for load testing, and VPC Flow Logs are more suited to network monitoring rather than application performance analysis. C. Create a Cloud Task to generate a test load. Use Cloud Scheduler to run 60,000 Cloud Task transactions per minute for 10 minutes. Analyze the results using Cloud Monitoring. Using Cloud Task and Cloud Scheduler might not be flexible enough to simulate the required number of read and write transactions per second, especially if the load needs to be varied dynamically to test different scenarios. D. Create a Compute Engine instance that uses a LAMP stack image from the Marketplace, and use Apache Bench to generate load tests against the service. Analyze the results using Cloud Trace. A single Compute Engine instance using Apache Bench might not be able to generate enough load to reach the required number of transactions per second. Additionally, the LAMP stack image from the Marketplace is unrelated to the requirements of testing a Cloud Run service. Correct Answer: B. Create a Google Kubernetes Engine cluster running the Locust or JMeter images to dynamically generate load tests. Analyze the results using Cloud Trace. To verify that your application can support up to 5,000 read and 1,000 write transactions per second, and to identify any bottlenecks that may occur, you can use a load testing tool such as Locust or JMeter to generate load tests on your Cloud Run service. These tools allow you to simulate a high number of concurrent requests and help you determine the maximum number of requests your service can handle. You can run the load testing tool on a Google Kubernetes Engine (GKE) cluster, which will provide the autoscaling feature. This way, you can manage the high number of requests, and use Cloud Trace to analyze the results. This analysis will give you insights into performance and help you identify any bottlenecks. Links: Links to DocumentationWelcome to the best practice exams to help you prepare for your Google Professional Cloud Developer exam.• You can retake the exams as many times as you want• This is a huge original question bank• You get support from instructor if you have questions• Each question has a detailed explanation• Mobile-compatible with the Udemy app• 30-days money-back guarantee if you're not satisfiedWe hope that by now you're convinced! And there are a lot more questions inside the course. Happy learning and best of luck for your Google Professional Cloud Developer exam!...
17. Google Cloud Professional Cloud Architect: GCP Certification
Google Cloud Platform is one of the fastest-growing cloud service platforms offered today that lets you run your applications and data workflows at a 'Google-sized' scale. Google Cloud Certified Professional Cloud Architect certification is one of the most highly desired IT certifications out today. It is also one of the most challenging exams offered by any cloud vendor today. Passing this exam will take many hours of study, hands-on experience, and an understanding of a very wide range of GCP topics. Luckily, we're here to help you out! This course is designed to be your best single resource to prepare for and pass the exam to become a certified Google Cloud Architect. Why should do a Google Cloud Certification?Here are few results from Google's 2020 Survey:89% of Google Cloud certified individuals are more confident about their cloud skillsGCP Cloud Architect was the highest paying certification of 2020 (2) and 2019 (3)More than 1 in 4 of Google Cloud certified individuals took on more responsibility or leadership roles at workWhy should you aim for Google Cloud - GCP Cloud Architect Certification?Google Cloud Professional Cloud Architect certification helps you gain an understanding of cloud architecture and Google Cloud Platform. As a Cloud Architect, you will learn to design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives. The Google Cloud Certified - Professional Cloud Architect exam assesses your ability to: Design and architect a GCP solution architectureManage and provision the GCP solution infrastructureDesign for security and complianceAnalyze and optimize technical and business processesManage implementations of Google Cloud architectureEnsure solution and operations reliabilityAre you ready to get started on this amazing journey to becoming a Google Cloud Architect?So let's get started!...
18. Master Data Engineering using GCP Data Analytics
Data Engineering is all about building Data Pipelines to get data from multiple sources into Data Lakes or Data Warehouses and then from Data Lakes or Data Warehouses to downstream systems. As part of this course, I will walk you through how to build Data Engineering Pipelines using GCP Data Analytics Stack. It includes services such as Google Cloud Storage, Google BigQuery, GCP Dataproc, Databricks on GCP, and many more. As part of this course, first you will go ahead and setup environment to learn using VS Code on Windows and Mac. Once the environment is ready, you need to sign up for Google Cloud Account. We will provide all the instructions to sign up for Google Cloud Account including reviewing billing as well as getting USD 300 Credit. We typically use Cloud Object Storage as Data Lake. As part of this course, you will learn how to use Google Cloud Storage as Data Lake along with how to manage the files in Google Cloud Storage both by using commands as well as Python. It also covers, integration of Pandas with files in Google Cloud Storage. GCP provides RDBMS as service via Cloud SQL. You will learn how to setup Postgresql Database Server using Cloud SQL. Once the Database Server is setup, you will also take care of setting up required application database and user. You will also understand how to develop Python based applications by integrating with GCP Secretmanager to retrieve the credentials. One of the key usage of Data is nothing but building reports and dashboards. Typically reports and dashboards are built using reporting tools pointing to Data Warehouse. As part of Google Data Analytics Services, BigQuery can be used as Data Warehouse. You will learn the features of BigQuery as a Data Warehouse along with key integrations using Python and Pandas. At times, we need to process heavy volumes of data which also known as Big Data Processing. GCP Dataproc is a fully manage Big Data Service with Hadoop, Spark, Kafka, etc. You will not only learn how to setup the GCP Dataproc cluster, but also you will learn how to use single node Dataproc cluster for the development. You will setup development environment using VS Code with remote connection to the Dataproc Cluster. Once you understand how to get started with Big Data Processing using Dataproc, you will take care of building end to end ELT Data Pipelines using Dataproc Workflow Templates. You will learn all key commands to submit Dataproc Jobs as well as Workflows. You will end up building ELT Pipelines using Spark SQL. While Dataproc is GCP Native Big Data Service, Databricks is another prominent Big Data Service available in GCP. You will also understand how to get started with Databricks on GCP. Once you go through the details about how to get started with Databricks on GCP, you will take care of building end to end ELT Datapipelins using Databricks Jobs and Workflows. Towards the end of the course you should be fairly comfortable with BigQuery for Data Warehouse and GCP Dataproc for Data Processing, you will learn how to integrate these two key services by building end to end ELT Data Pipeline using Dataproc Workflow. You will also understand how to include Pyspark based application with Spark BigQuery connector as part of the Pipeline. In the process of building Data Pipelines, you will also revise application development life cycle of Spark, troubleshooting issues related to the spark using relevant web interfaces such as YARN Timeline Server, Spark UI, etc...
19. MLOps. Machine Learning deployment: AWS, GCP & Apple in
lllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllll[Course Updates]:- 08.2023: New Extra materials in Chapters #3 & #7- 10.2023: Added MLOps Market Overview chapter. Learn key Market stats, trends + Salaries & Role ExpectationslllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllWould you like to learn best practices of Automation & ML models Deployment?Maybe you would also like to practice doing it?You've come to the right place! There's no better way to achieve that than by creating a strong theoretical foundation and getting hands dirty by applying newly learnt concepts in practice straight away! MLOps has been helping me automate & roll out robust, easily maintainable and state-of-the-art ML in IT, Food and Travel industries over the last 6 years. With the help of modern Cloud Computing and open source software I've brought live dozens of ML research projects, successfully solved very complex Business challenges and even changed the country where I live & work! There are many different technologies powering modern ml ops. Some of them are: AWS Sagemaker, Kubeflow, Azure machine learning, mlflow, GCP Vertex AI, dvc etc. We will cover many of them and see how they work together. Join me in this fun and Industry-shaped course to get new skills and improve your MLOps & Cloud acumen! By the end of this course you will be able to: Set up CI & CD pipelinesPackage ML models into DockerRun AutoML locally & in the CloudTrain ML models for Apple devicesMonitor and Log ML experiments with mlflow frameworkSet up and manage MLOps pipelines in AWS SageMakerOperate Model Registry & Endpoints in GCP VertexAIBoost your Career and MLOps studying efficiencyThe course isn't static! I collect students' feedback and periodically update the materials: add new lectures and practice cases!...
20. Practical Data Engineering in GCP: Beginner to Advanced
In this course, we will be creating a data lake using Google Cloud Storage and bring data warehouse capabilites to the data lake to form the lakehouse architecture using Google BigQuery. We will be building four no code data pipelines using services such as DataStream, Dataflow, DataPrep, Pub/Sub, Data Fusion, Cloud Storage, BigQuery etc. The course will follow a logical progression of a real world project implementation with hands on experience of setting up a data lake, creating data pipelines for ingestion and transforming your data in preparation for analytics and reporting. Chapter 1 We will setup a project in Google CloudIntroduction to Google Cloud StorageIntroduction to Google BigQueryChapter 2 - Data Pipeline 1We will create a cloud SQL database and populate with data before we start performing complex ETL jobs. Use DataStream Change Data Capture for streaming data from our Cloud SQL Database into our Data lake built with Cloud StorageAdd a pub/sub notification to our bucketCreate a Dataflow Pipeline for streaming jobs into BigQueryChapter 3 - Data Pipeline 2Introduce Google Data FusionAuthor and monitor ETL jobs for tranforming our data and moving them between different zone of our data lakeWe will explore the use of Wrangler in Data Fusion for profiling and understanding our data before we starting performing complex ETL jobs. Clean and normalise dataDiscover and govern data using metadata in Data FusionChapter 4 - Data Pipeline 3Introduction to Google Pub/SubBuilding a. Net application for publishing data to a Pub/Sub topicBuilding a realtime data pipeline for streaming messages to BigQueryChapter 5 - Data Pipeline 4Introduction to Cloud DataPrepProfile, Author and monitor ETL jobs for tranforming our data using DataPrep...