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30-Day Money-Back Guarantee
IT & Software IT Certification Google Cloud

Ultimate Google Cloud Certifications: All in one Bundle (4)

275,000+ GCP Students, 500+ Questions - Associate Cloud Engineer, Cloud Architect, Cloud Developer, Network Engineer
Rating: 4.2 out of 54.2 (2,623 ratings)
103,382 students
Created by Google Cloud Platform Gurus !
Last updated 11/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • From Beginners to advanced - I would say from Zero to Hero Google Cloud Platform
  • Become Master in Google Cloud Platform
  • Prepare for Google Cloud Certifications - Cloud Engineer , Cloud Architect, Cloud Developer, Data Engineer, Cloud Network Engineer - TBD.
  • Save time in preparing Multiple Google Cloud Certification exams.

Requirements

  • Student should be computer science knowledgeable will help to understand and prepare for certification.

Description

Hi Cloud Professionals


We have 405,000+ Students & 280,000 Unique students for Google Cloud Platform Certifications makes us "No 1 Trainer for Google Cloud Platform on Udemy" 

25200+ Students informed us that they got certifications with our courses.


Did you know 85% of global IT professionals hold at least one certification, of which over half were earned in the past 12 months? Another 66% plan to attain a new certification this year. These findings are published in the Global Knowledge 2019 IT Skills and Salary Report.


Please check lecture 2 for Google cloud platform certification future promotions subscriptions!

You always have Free $300 Credit for Google Cloud Platform

Becoming Google Certified choice of your certification - Professional Cloud Architect, Associate Cloud Engineer, Professional Cloud Developer,  Professional Cloud Network Engineer (Beta), Upcoming -> Cloud Data Engineer, Cloud DevOps Engineer, Cloud Security Engineer.


This course is not for Lazy learners - The course has comprehensive coverage of Google Cloud Platform and students need very long focus/attention to complete.

The course does not assume you have knowledge of Google Cloud Platform or any cloud Platform. We cover almost everything on GCP to become "Hero" from whatever your current GCP understanding (it may be Zero or Beginning or Intermediate)


Advance Students - Joining this course only for certification -> Please at least run through the foundation section once for you to understand the certification syllabus.


Why waste time learning the same foundation concepts again and again for each certification around the same technology. This course divided into the section where you learn all concepts in one course and then focus individually on each certification - Incrementally.    

Why Pay for Every Certifications course and some times you don't even appear for certification. This course will help you to pay only once and plan for any certification on Google Cloud Platform.   


Single Course FULLY Prepares you for all FOUR certifications below ->

  1. Associate Cloud Engineer,

  2. Professional Cloud Architect

  3. Professional Cloud Developer 

  4. Professional Cloud Data Engineer  - Expected in Dec 2020

  5. Professional DevOps Engineer - Expected in Jun 2021


Bonus: Other Certifications are upcoming ->

  1. Professional Cloud Network Engineer - in Beta expected to be completed in Nov 2020.

  2. Professional Security Engineer - Upcoming.   Tentative Mar/Apr 2021.


Each Certification

> 100 % Coverage for Certification.

> Section by Section mapping syllabus (after foundation) so that you don't have to hunt for any other options for syllabus coverage 

> One Practice Question set for each Certification - Besides Google Readiness Test

> Labs will help you understand each service in detail.

Our Target at the end of Dec to have 2 Questions Sets for each certification.


Time is Money nowadays - We all want to optimize our time to learn new things and add it in our profile in a smart way. This course will take out duplicate learning work which you may need to do if you are planning for more than 1 certification on Google Cloud Platform.


Each Certification gives an additional dimension about Google Cloud Platform and this Course committed to giving you will give you 360 view of Google Cloud platform so - you don't have to refer to any other course.


Thank You for your time and stay connected!


Happy Learning !!


Google Cloud Gurus

Seattle, WA USA 

Who this course is for:

  • Who wants to learn Google Cloud Platform.
  • Students preparing for Google Cloud Certification
  • Students who wants to become master in Google Cloud Platform.

Course content

9 sections • 437 lectures • 32h 9m total length

  • Preview03:40
  • Preview09:05
  • GCP Certifications Covered in this Course
    01:18
  • Course Motivation
    01:47
  • Course Structure
    01:49
  • Preview08:01

  • Google Cloud Platform Overview
    01:25
  • Getting Started ! - Login and $300 GCP Credit
    01:11
  • Google Cloud Platform - Infrastructure Services
    04:45
  • Getting Around : GCP Cloud Console
    02:42
  • Google Cloud Platform Services
    03:26
  • Google Cloud Platform interfaces
    01:20
  • GCP Projects
    02:11
  • GCP Resources
    04:12
  • Identity and Access Management
    03:37
  • Billing Account and Usage Alerts
    05:28
  • Quota and Limits
    03:36
  • GCP Infrastructure Services
    01:50
  • Cloud Shell
    05:01
  • Cloud SDK
    02:21
  • Cloud SDK Installations and Setup
    04:39
  • Cloud API
    04:10
  • Cloud Launcher
    08:53
  • GCP Tools
    02:49
  • Stackdriver Applications
    01:44

  • Introduction
    02:11
  • Section 1: Compute Services Overview
    13:41
  • Compute Engine - Basics
    10:26
  • Compute Engine - Machine Types
    07:56
  • Compute Engine - GPU's - Graphic Processing Unit
    03:45
  • Compute Engine - Disks & VM Storage
    07:19
  • Compute Engine - VM Images
    05:48
  • Compute Engine - Instance Templates
    09:45
  • Compute Engine - Networking
    01:28
  • Compute Engine - Startup Scripts
    03:40
  • Compute Engine - Preemptible Virtual Machine
    03:05
  • Compute Engine - Other Concepts !
    06:02
  • Compute engine - Other Concepts in Console !
    05:50
  • Compute Engine - Pricing & Discount
    08:50
  • LAB : Compute Engine
    00:07
  • Compute Engine
    10 questions
  • Compute Engine in Summary
    04:20
  • App Engine - Basics
    08:50
  • App Engine - Services, Version & Instances
    03:35
  • App Engine - Traffic Splitting
    04:03
  • App Engine - Standard Environment
    04:12
  • App Engine - Flexible Environment
    08:52
  • App Engine - Deployment configuration app.yaml
    02:49
  • App Engine - Security Scanner
    04:11
  • Multiple Application Deployment
    00:00
  • App Engine - Pricing
    01:47
  • App Engine - Disable App and avoid cloud charges !
    01:32
  • Lab : App Engine
    00:07
  • App Engine in Summary
    02:40
  • App engine
    8 questions
  • Kubernetes Engine - Basics
    08:11
  • Kubernetes in Google Cloud Platform.
    03:08
  • Kubernetes Engine - Cluster
    02:05
  • Kubernetes Engine - POD
    05:16
  • Kubernetes Engine - Service
    02:04
  • Kubernetes Engine - Deployments
    02:39
  • Kubernetes Engine - Different Types of Clusters
    00:00
  • Kubernetes Engine - Node Pools
    07:01
  • Kubernetes Engine - Auto Scaling
    05:17
  • Kubernetes Engine - Regional and Multizone Clusters
    03:00
  • Kubernetes Engine - Load Balancing
    03:10
  • Kubernetes Engine - Node Images
    02:58
  • Kubernetes Engine - Node Repair
    02:22
  • Kubernetes Engine - Networking
    01:56
  • Kubernetes Engine - Labels & Selectors
    02:33
  • Kubernetes Engine - Local SSD Support
    02:01
  • Kubernetes Engine - GPU's Support
    02:02
  • Kubernetes Engine - Other Concepts
    04:43
  • Avoid Cloud Charges deleting cluster !
    01:01
  • Cluster Creation : Other options in Summary !
    07:10
  • Kubernetes - Hybrid Env - Anthos
    02:02
  • Kubernetes Summary
    01:58
  • LAB - Kubernetes Engine
    00:07
  • Kubernetes Engine Quiz !
    9 questions
  • Cloud Function- Basics
    06:29
  • Google Cloud Function Questions
    5 questions
  • Cloud Run (Beta) - Basics
    07:46
  • Cloud Run - Service
    01:29
  • Cloud Run - Revisions
    02:22
  • Cloud Run - Container Instance
    03:04
  • Cloud Run - Fully Managed
    01:32
  • Cloud Run for Anthos
    03:04
  • Cloud Run in Summary !
    02:39
  • Load Balancer - Basics
    07:25
  • Load Balancer in Cloud Console
    01:29
  • Load Balancer - Health Check
    03:08
  • Content Aware Load Balancing
    03:09
  • Load Distribution Algorithm
    02:14
  • Load Balancer - Session Affinity
    02:28
  • Different Types of Load Balancers
    02:38
  • Load Balancer - Auto Scaling and HA
    02:13
  • HTTP Load Balancer
    06:38
  • TCP/SSL Proxy Load Balancer
    04:29
  • FYI - Network OSI - Simpler form.
    02:14
  • Regional Internal/External Load Balancer
    05:40
  • Load Balancer - Pricing
    02:13
  • Optional - HTTP load Balancer Demo
    33:59
  • Optional - Demo Clean up !
    03:45
  • LAB : Load Balancer
    00:07
  • Load Balancer Summary
    02:49
  • GCE - Load Balancing & Auto Scaling
    10 questions
  • Section 2 : Database Services Overview
    03:43
  • Cloud SQL- Basics
    03:57
  • Cloud SQL - New Changes
    00:08
  • Cloud SQL - MYSQL
    07:51
  • Cloud SQL -PostgreSQL
    02:53
  • Cloud SQL - Performance
    03:23
  • Cloud SQL - Backup and Restore
    02:02
  • Cloud SQL : Logging and Point in time recovery !
    02:23
  • Cloud SQL - High Availability
    05:42
  • Cloud SQL - Read Replica and Performance
    04:57
  • Cloud SQL - Pricing
    03:22
  • LAB : Cloud SQL
    00:07
  • Cloud SQL in Summary
    02:21
  • Cleanup Reminder
    00:30
  • Cloud Spanner - Basics
    06:14
  • Cloud Spanner - Features
    03:05
  • Cloud Spanner - Architecture (Global)
    03:23
  • Cloud Spanner - Performance
    01:41
  • Cloud Spanner - Interleaved Tables
    02:52
  • Cloud Spanner - IAM
    02:42
  • Cloud Spanner - Cleanup
    00:33
  • LAB : Cloud Spanner
    00:07
  • Cloud Spanner - Summary
    02:14
  • Google Cloud SQL Spanner Persistent Disk Questions
    28 questions
  • Cloud Storage- Basics
    08:20
  • Cloud Storage - Consistency Model
    02:16
  • Cloud Storage - Buckets
    04:29
  • Cloud Storage - Objects
    02:45
  • Cloud Storage - Storage Class Updates
    00:09
  • Cloud Storage - Storage Classes
    08:14
  • Cloud Storage - Object Life-cycle policies
    06:03
  • Cloud Storage - Data Transfer Services
    02:49
  • Data Encryption
    01:24
  • Object Change Notification
    03:32
  • Cloud Storage - Audit Logging
    01:29
  • Cloud Storage - IAM
    04:09
  • Cloud Storage Summary
    03:09
  • Google Cloud Storage Questions
    35 questions
  • Cloud Firestore
    04:40
  • Cloud Firestore in Datastore mode
    03:36
  • Cloud Firestore - Schema Design
    02:24
  • Cloud Firestore - Features
    00:53
  • Cloud Firestore - Pricing
    01:06
  • Cloud Firestore - IAM
    01:23
  • TBD - LAB : Cloud Datastore /Firestore
    00:07
  • Cloud Firestore/Datastore Summary
    01:08
  • Cloud BigTable - Basics
    07:16
  • Cloud Bigtable - Architecture
    02:41
  • Cloud Bigtable - Migration from HBASE
    03:23
  • Cloud Bigtable - Schema Designing
    02:18
  • Cloud Bigtable - Performance
    01:19
  • Cloud BigTable - Application Profile
    03:31
  • Cloud Bigtable - Quotas and Limits
    01:21
  • Cloud BigTable - Pricing
    01:18
  • Cloud Bigtable - IAM
    00:52
  • BigData Services
    04:09
  • Cloud BigQuery - Basics
    10:05
  • Cloud BigQuery - Best Practices
    04:46
  • Cloud BigQuery - IAM
    00:49
  • Cloud BigQuery - Pricing and Others
    01:03
  • LAB : Cloud BigQuery
    00:07
  • Cloud BigQuery - Summary
    03:17
  • Cloud Dataproc
    09:37
  • Cloud Dataproc - Architecture
    03:43
  • Cloud Dataproc - Additional Components
    01:48
  • Cloud Dataproc - Storage Options
    03:16
  • Cloud Dataproc - Jobs
    02:52
  • Cloud Dataproc - Workflows
    03:24
  • Cloud Dataproc - Quota and Limits
    01:26
  • Cloud Dataproc - IAM
    02:13
  • Cloud Dataproc - Pricing
    01:33
  • Cloud Dataproc - Cleanup Reminder
    00:27
  • LAB : Cloud Dataproc
    00:07
  • Cloud Dataproc Summary
    02:15
  • Cloud Dataflow - Basics
    06:35
  • Cloud Dataflow - Pipeline
    06:08
  • Cloud Dataflow vs Cloud Dataproc
    02:09
  • Cloud Dataflow - Quota and Limits
    03:38
  • Cloud Dataflow - IAM
    01:46
  • Cloud Dataflow - Pricing
    01:55
  • Cloud Dataflow - Summary
    02:13
  • Cloud PubSub
    16:48
  • Cloud Pub/Sub - Demo
    17:38
  • Lab : Cloud PUB/SUB
    00:07
  • Google Datalab/Data Studio
    15:11
  • Only for Beginners - Networking Basics Part1
    10:09
  • Only for Beginners - Networking Basics part 2
    04:52
  • Section 3: Cloud Networking
    08:00
  • Cloud VPC Basics
    07:20
  • Types of VPC's
    06:48
  • Project and VPCs
    02:47
  • Cloud VPC - Subnetworks
    07:50
  • Cloud VPC - Internal IP Addresses
    05:20
  • Cloud VPC - External IP Address
    04:59
  • Cloud VPC - Routes
    05:22
  • Cloud VPC - Firewalls
    06:46
  • Cloud VPC - Shared VPC
    02:15
  • Cloud VPC - Peering
    06:49
  • Cloud VPC - Quota and Limits
    01:52
  • Cloud VPC - Flow Logs
    04:05
  • Optional - Cloud VPC Demo
    32:22
  • Security - Bastion Host
    02:48
  • Optional - Bastion Host - Demo
    03:30
  • Security : Nat Gateway
    02:13
  • Cloud VPC - Pricing
    02:49
  • Hybrid Connectivity
    05:00
  • Cloud VPN
    05:00
  • Cloud Router
    04:04
  • Cloud Interconnect
    05:57
  • Cloud CDN
    15:07
  • Cloud DNS
    06:03
  • Optional - Cloud DNS Demo
    16:22
  • Cloud Armor
    07:09
  • Section 4: Stackdriver Applications
    03:11
  • Stackdriver Applications
    02:47
  • Stackdriver Monitoring
    26:53
  • Stackdriver Logging
    20:47
  • Stackdriver Error Reporting
    13:02
  • Stackdriver Trace
    06:56
  • Stackdriver Debug
    08:51
  • Section 5: Cloud Security
    10:31
  • Cloud IAM
    21:29
  • Service Account
    09:11
  • Cloud Audit Logs
    08:57
  • Cloud KMS
    16:36
  • Cloud Security Scanner
    03:44
  • Cloud CI/CD
    02:49
  • Cloud Source Code Repository
    10:29
  • Cloud Container Registry
    02:24
  • Cloud Build - Basics
    05:04
  • Cloud Build - Build Config
    03:07
  • Cloud Build - Triggers
    04:14
  • Cloud Build - Simple Build Demo
    06:04
  • Cloud Build - CD Demo Introduction
    05:24
  • Cloud Build - CD Demo Setup
    07:10
  • Cloud Task
    02:44
  • Cloud Scheduler
    02:11
  • Deployment Manager
    17:02
  • API Management - Overview
    06:35
  • API Management - APIGEE Light Demo
    07:40
  • Cloud Developer Tools - Eclipse
    12:56
  • Cloud Developer Tools - IntelliJ
    07:39
  • Preview00:05

  • Introduction
    00:47
  • Associate Cloud Engineer Syllabus & Exam Structure
    04:44
  • Exam Focus and Strategy
    04:02
  • What we achieved and What is that we are going to learn.
    02:12
  • 1. Setting up a cloud solution environment
    01:08
  • 1.1 Setting up cloud projects and accounts.
    13:54
  • 1.2 Managing billing configuration
    10:54
  • 1.3 Installing and configuring the command line interface (CLI) - Cloud SDK
    00:01
  • Quiz: Setting up Environment.
    5 questions
  • Section 2: Planning and configuring a cloud solution
    03:48
  • 2.1 Planning and estimating GCP product use using the Pricing Calculator.
    06:30
  • 2.2 Planning and configuring compute resources.
    00:01
  • TBD 2.3 Planning and configuring data storage options.
    00:00
  • 2.4 Planning and configuring network resources : Load Balancer
    00:01
  • Quiz : Planning and Configuring Cloud.
    10 questions
  • Section 3: Deploying and implementing a cloud solution
    00:01
  • 3.1 Deploying and implementing Compute Engine resources. - Recap
    00:01
  • 3.2 Deploying and implementing Kubernetes Engine resources - recap
    00:01
  • 3.3 Deploying and implementing App Engine and Cloud Functions resources. recap
    00:01
  • 3.4 Deploying and implementing data solutions.
    00:01
  • 3.5 Deploying and implementing networking resources - recap
    00:01
  • 3.6 Deploying a Solution using Cloud Launcher - recap
    00:01
  • 3.7 Deploying an Application using Deployment Manager - recap.
    00:01
  • Section 4. Ensuring successful operation of a cloud solution
    06:05
  • 4.1 Managing Compute Engine resources.
    37:28
  • Quiz Managing Compute Engine
    10 questions
  • 4.2 Managing Kubernetes Engine resources.
    34:38
  • Quiz : Managing Kubernetes Engine
    6 questions
  • 4.3 Managing App Engine resources.
    11:41
  • Quiz : Managing App Engine.
    4 questions
  • 4.4 Managing data solutions.- Cloud Spanner
    09:12
  • Quiz : Managing Cloud Spanner
    2 questions
  • 4.4 Managing data solutions - Cloud Storage
    24:59
  • TBD - 4.5 Managing networking resources.
    00:00
  • 4.6 Monitoring and logging.
    00:01
  • Stackdriver
    15 questions
  • Section 5. Configuring access and security
    10:31
  • Quiz : Configuring Access and Security
    1 question
  • 5.1 Managing Identity and Access Management (IAM).
    21:29
  • 5.2 Managing service accounts.
    09:11
  • 5.3 Viewing audit logs for project and managed services
    08:57
  • Associate Cloud Engineer Practice Exam
    50 questions

  • Introduction
    00:39
  • Professional Cloud Developer Certification Details
    04:44
  • Exam Focus and Strategy
    04:14
  • Case Studies and its Importance
    08:16
  • What we achieved and What is that we are going to learn.
    02:11
  • Section 1. Designing highly scalable, available, and reliable cloud-native Apps
    01:53
  • 1.1 Designing performant applications and APIs.
    02:33
  • 1.1 Designing performant Apps -Cloud IAAS CAAS PAAS Services overview
    10:30
  • 1.1 Designing performant apps - Platform Specific design
    07:08
  • 1.1 Designing performant apps - Geographic Distribution of GCP Services
    08:47
  • 1.1 Designing performant apps -Microservices
    08:49
  • Bonus API Proxy : 1.1 -Designing performant apps -Microservices with API Proxy
    04:46
  • Bonus REST API and GraphQL : 1.1 -Designing performant apps -Microservices
    03:33
  • 1.1 Designing performant apps - Database Keys
    01:03
  • 1.1 Designing performant apps - Session Persistence
    02:09
  • 1.1 Designing performant apps - Loose Coupling using Cloud Pub Sub
    02:17
  • 1.1 Designing performant apps - Health Check
    02:13
  • 1.1 Designing performant apps - Best Practices
    04:56
  • 1.2 Designing secure applications.
    11:47
  • 1.3 Managing application data.
    03:58
  • 1.4 Re-architecting applications from local services to Google Cloud Platform.
    00:11
  • Section 2. Building and Testing Applications
    01:30
  • 2.1 Setting up your development environment.
    13:54
  • 2.1 Setting up your development environment Part 2
    10:54
  • 2.2 Building a continuous integration pipeline.
    00:02
  • CI CD Exam Points
    01:28
  • 2.3 Testing.
    09:40
  • 2.4 Writing code.
    05:21
  • CLI Assignments
    01:49
  • Section 3. Deploying applications
    01:44
  • 3.1 Implementing appropriate deployment strategies based on the target compute
    08:56
  • 3.2 Deploying applications and services on Compute Engine.
    00:01
  • 3.3 Deploying applications and services on Google Kubernetes Engine.
    00:01
  • Kubernetes - Exam Bullets
    00:17
  • 3.4 Deploying an application to App Engine.
    00:01
  • 3.5 Deploying a Cloud Function.
    00:01
  • 3.6 Creating data storage resources.
    00:01
  • 3.7 Deploying and implementing networking resources.
    00:01
  • 3.8 Automating resource provisioning with Deployment Manager
    00:01
  • 3.9 Managing Service accounts.
    00:02
  • Section 4. Integrating Google Cloud Platform Services
    01:53
  • 4.1 Integrating an application with Data and Storage services.
    05:49
  • 4.1 Integration with Database - Node JS and Cloud SQL - MySQL Application
    14:34
  • 4.1 Integration with Database - Node JS and Datastore application
    09:11
  • Upcoming Lectures
    00:05
  • 4.1 Integration with DB- SQL Basics and Trade Offs - TBD
    01:04
  • 4.2 Integrating an application with Compute services.
    00:59
  • 4.2 Integrating an application with Compute services - Service Discovery
    13:50
  • 4.2 Integrating an application with Compute services - Instance Metadata
    04:39
  • 4.3 Integrating Google Cloud APIs with applications.
    07:39
  • Section 5. Managing Application Performance Monitoring
    01:11
  • 5.1 Installing the logging and monitoring agent
    00:00
  • 5.2 Managing VMs.
    07:33
  • 5.3 Viewing application performance metrics using Stackdriver.
    00:16
  • 5.4 Diagnosing and resolving application performance issues.
    00:01
  • Case Studies - Hiplocal - Upcoming Lectures
    00:01
  • Cloud Developer - Practice Question Set - Still in review
    50 questions

  • Introduction
    03:54
  • Professional Cloud Architect Syllabus & Exam Structure
    06:19
  • Exam Focus and Strategy
    05:24
  • Case Studies and its Importance
    01:17
  • Syllabus Coverage Approach
    01:05
  • TerramEarth - Case Study Introduction
    11:48
  • Section 1. Designing and planning a cloud solution architecture
    00:27
  • 1.1 Designing a solution infrastructure that meets business requirements.
    04:02
  • 1.2 Designing a solution infrastructure that meets technical requirements
    03:53
  • 1.3 Designing network, storage, and compute resources
    07:30
  • 1.4 Creating a migration plan (i.e., documents and architectural diagrams).
    04:32
  • 1.5 Envisioning future solution improvements. Considerations include:
    02:30
  • 2.1 Configuring network topologies.
    01:54
  • 2.2 & 2.3 Configuring individual storage & Compute Systems
    02:29
  • Section 3 : Designing for security & Compliance
    03:09
  • 3. Applying Security and Compliance
    04:46
  • 4.1 Analyzing and defining technical processes
    00:50
  • 4.2 Analyzing and defining business processes.
    03:49
  • 4.3 Developing procedures to test resilience of solution in production
    03:09
  • 5.1 Advising development/operation team(s) to ensure successful deployment
    01:21
  • 5.2 Interacting with Google Cloud using GCP SDK (gcloud, gsutil and bq).
    00:56
  • Section 6. Ensuring solution and operations reliability
    01:47
  • Mountkirk Games - Case Study Introduction
    07:20
  • Mountkirk Games - As is Architecture
    02:22
  • MountKirk Games -Section 1. Designing and planning a cloud solution architecture
    06:26
  • MountKirk Games -Section 1. Designing and planning a cloud solution arch Part2
    07:49
  • MountKirk Games -Section 1. Designing and planning - Resiliency , Scalibility
    13:07
  • MountKirk Games -Section 2. Managing and Provisioning a solution Infrastructure
    11:10
  • MountKirk Games -Section 4. Analyzing and optimizing technical and business Proc
    03:26
  • MountKirk Games -Section 5. Managing implementation
    02:21
  • MountKirk Games -Section 6. Ensuring solution and operations reliability
    04:54
  • Dress4Win
    14:59
  • Practice Question Set 1 - Cloud Architect Certification
    50 questions
  • Practice Question Set 2 - Cloud Architect Certification
    50 questions

  • Introduction
    00:00
  • Professional Cloud Data Engineer Syllabus & Exam Structure
    00:00
  • Exam Focus and Strategy
    00:00
  • Case Studies and Importance
    00:00
  • Section 0: Data Engineer Foundation
    00:00
  • Artificial Intelligence Fundamentals
    00:00
  • AI in Google Cloud Platform.
    00:00
  • Machine Learning Fundamentals
    00:00
  • Machine Learning in Google Cloud Platform.
    00:00
  • Section 1. Designing data processing systems
    00:00
  • 1.1 Selecting the appropriate storage technologies.
    00:00
  • 1.2 Designing data pipelines.
    00:00
  • 1.3 Designing a data processing solution.
    00:00
  • 1.4 Migrating data warehousing and data processing.
    00:00
  • Section 2. Building and Operationalizing Data Processing Systems
    00:00
  • 2.1 Building and operationalizing storage systems.
    00:00
  • 2.2 Building and operationalizing pipelines.
    00:00
  • 2.3 Building and operationalizing processing infrastructure.
    00:00
  • Section 3. Operationalizing Machine Learning Models
    00:00
  • 3.1 Leveraging pre-built ML models as a service.
    00:00
  • 3.2 Deploying an ML pipeline.
    00:00
  • 3.3 Choosing the appropriate training and serving infrastructure.
    00:00
  • 3.4 Measuring, monitoring, and troubleshooting machine learning models.
    00:00
  • Section 4. Ensuring Solution Quality
    00:00
  • 4.1 Designing for security and compliance.