GCP Cloud Champion

• Understanding Cloud Computing • What is traditional IT environment and how it works? • Servers, storage, network in traditional IT. • Cloud Computing Overview. o What is cloud computing? o Basic architecture of cloud computing. o Difference between traditional IT and Cloud computing. o Benefits of Cloud Computing. • Service Model (IaaS, PaaS, SaaS) ). • Deployment Model (Public, Private, Hybrid). • Advantages of Cloud Computing. • Cloud Service Providers.

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• Overview of GCP and its global infrastructure. • Why google cloud? • Exclusive benefits. • Gartner's Magic quadrant and market share. • Introduction to Google Cloud Console and CLI. • GCP regions, zones, and Resource management. • Organizations, folders, project and resources. • GCP interfaces. • GCP Products & Services. Hands-on: • Creating a Google Cloud Platform Account . • Exploring GCP Console, Navigating GCP Products and Services . • Explore Google cloud shell . • Setting up budgets and analyzing costs in Google Cloud Console.

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Google Compute Engine (GCE) • Overview of Virtual machine. • Infrastructure as a Service (IaaS). • Life cycles of VM instances. • Instance groups. • Access options. • Different Machine types. • Preemptible and sole tenant VMs. • Images, custom images. • Machine images. • Live migration and auto restart. • Types of disks, Local SSD, persistent disk and balanced persistent disk. • Snapshots. • Firewall Rules. • Pricing criteria and discounts. Hands-on: • Deploying and configuring a VM in Compute Engine. • Creation of Linux and windows VM instances. • Adding new disk and mount in OS. • Deleting VM and recreate using disk. • Creating snapshot and snapshot schedules. • Recover using snapshot . Google Kubernetes Engine (GKE) • Container as a Service (CaaS) • What is a Microservice? • What is a container. • What is docker and docker images. • Container optimized OS and Container registry. • What is Kubernetes. • Kubernetes Architecture. • Understanding of nodes. • Understanding of cluster. • Understanding pods. • Understanding services. • Understanding replication controllers. • Understanding deployments. • Understanding yaml files. • Understanding Kustomize. Hands-on: • Setting up a Kubernetes cluster in GKE. • Run WordPress on docker . • Create a Microservice, then image and run on docker. • Create Kubernetes cluster. • Run WordPress on Kubernetes and expose outside. Google App Engine (GAE) • Platform-as-a-Service (PaaS). • Overview of App engine. • Service, versions of app engine. • Standard and flexible environments. • Architecture. • Types of scaling. • Deploy new version of App engine. • Test Autoscaling in App engine. • Hands-on: • Developing and deploying a web application in App Engine. • Create app engine using python code.   MemCache • Redis Overview • MemCache Overview Hands-on: • Creating MemCache Instance. Cloud Functions • Serverless computing. • Overview and use cases of cloud functions. • Features and use cases. • Creation of cloud functions. • Event-driven functions. Hands-on: • Creating and managing serverless functions with Cloud Functions. • Create function to blur offensive images. Cloud Run • Cloud Run on containerization. • Service and revisions. • Use cases Hands-on: • Creating cloud Run instance and run hello world.

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Cloud Storage • Overview of object storage (GCS). • Features and use cases of GCS. • Structure of GCS. • Bucket name standards. • Storage classes. • Versioning. • Life cycle policies. • Pricing. Hands-on: • Setting up and managing a bucket in Cloud Storage. • Creating cloud Run instance and run hello world. • Creation of bucket and upload object. • Setting IAM and ACL permission on bucket. • Versioning and Life cycle policies . • GCS using gcloud . Cloud SQL • Overview of relational and nonrelational database. • Types of cloud sql databases. • Cloud mysql. • Cloud PostgreSQL. • Sql server. • Components of mysql. • HA sql. • Replication. • Backups. Hands-on: • Creating and querying a relational database in Cloud SQL by creating SQL instance. And Create HA sql.   Cloud Spanner • Overview of cloud spanner. • Comparison with traditional databases. • Features (Globally distributed, scalable database). • Architecture - regional and global. • Replication. • Backup and restore. Hands-on • Creation of cloud spanner instance, loading database and query. • Configuring and scaling a Cloud Spanner instance. Bigtable • Challenges of transitional data handling. • Bigtable Overview . • Features of Bigtable. • Use cases. Hands-on • Create Bigtable cluster. • Implementing and querying a Bigtable instance. Firestore Firestore Overview. Data model of Firestore. Data, document and collection. Features. Hands-on Developing and managing Firestore collections and documents

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Virtual Private Cloud (VPC) • Overview and features of VPC. • Types of VPC – default| auto-mode and custom VPC. • VPC Components. • Internal and external Ips. • Routes. • Firewall. • Shared VPC. • VPC peering. • NAT Gateway. • Pricing criteria. Hands-on: • Configuring and managing a VPC network and subnets • Creation of Auto mode VPC. • Creation of Custom VPC . • Creating subnets (LAB) Distributing VM instances in different subnets. • Creation of firewall rules . • VPC peering. • NAT gateway. Cloud Load Balancing • Overview and features of GCP load balancer. • Types of load balancers. • Global and regional load balancers. • External and internal load balancers. • Technology behind LB. • Internal/external https load balancing. • Internal TCP/UDP load balancing. • SSL/TCP proxy load balancing. • Components of LB. • Auto scaling. • Managed and unmanaged instance groups. Hands-on: • Setting up a load balancer for a web application • Create external http global load balancer with autoscaling. Cloud CDN • CDN Overview. • Features. • How CDN works? Hands-on: • Implementing Cloud CDN to cache and deliver content Cloud Interconnect • Cloud Interconnect overview. • Features. • How CDN works? Hands-on: • Establishing a Cloud Interconnect connection. Cloud DNS • Cloud DNS Overview. • Features. • How DNS works? Hands-on: • Setup DNS for GCP Project.

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Identity and Access Management (IAM) • Basic concepts of IAM. • Organizations. • User. • Roles. • Group Members. • Permissions. • Policy. • Service account. • Policy hierarchy. • Understanding of different roles and permission. • IAM Best practices. Hands-on: • Configuring IAM roles and permissions for a GCP project. • Assigning various roles and test . • Create service account and assign role. Cloud Security Command Center • Security Command Center Overview. • Features in Security monitoring and threat detection. • How Security Command Center works? Hands-on: • Setting up security monitoring in Cloud Security Command Center. Cloud Key Management • Key Management Overview. • Features in Encryption and key management. • How Security Command Center works?   Hands-on: • Managing encryption keys with Cloud Key Management. Cloud Armor • Armor Overview. • Features in DDoS protection and web application firewall. • How Cloud Armor works? Hands-on: • Implementing Cloud Armor to safeguard applications.

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Cloud Build • Code Build Overview. • Features - Continuous integration and delivery. • How Cloud Build works? Hands-on: • Building and deploying an application using Cloud Build. Cloud Code • Cloud Code Overview. • Features . • How Cloud Code works? Hands-on: • Setup environment of GCP Projects using Cloud Code. Cloud Deploy • Code Deploy Overview. • Features. • How Cloud Deploy works? Hands-on: • Deploy your GCP projects using Cloud Deploy. Container Registry • Container Registry Overview. • Features . • How Container Registry works? Hands-on: • Deploy your GCP projects using Container Registry. Artifact Registry • Artifact Registry Overview. • Features . • How Artifact Registry works? Hands-on: • Setup Container Registry for your GCP projects. Terraform • Terraform Overview. • Features. • How Terraform works? • Infrastructure provisioning and management. Hands-on: • Provisioning infrastructure with Terraform for GCP Project.

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BigQuery • What is data warehousing? • Serverless data warehouse and SQL analytics. • BigQuery Overview. • Features. • Pricing criteria. Hands-on: • Running complex queries and analyzing data in BigQuery.   Dataflow • Overview of data streaming. • Architecture of data flow. • Features. • Stream and batch data processing. Hands-on: • Creating a data pipeline with Dataflow. Dataproc • Overview and features of dataproc. • Features of Managed Apache Spark and Hadoop. • Use cases. • Global Customers. Hands-on: • Setting up and running a Dataproc cluster.   Cloud Pub/Sub • Overview of messaging and injection. • How pub/sub works? • Features. • Topics subscription and message. • Use cases. Hands-on: • Creation of topic and publish using pub/sub.

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Vertex AI • Vertex AI Overview. • Features. • How Vertex AI works? Hands-on • Design and test Generative AI Models. AutoML • AutoML Overview • Features • Develop Custom machine learning models with minimal code. • Explore AutoML Natural Language, Tables, Translation, Video Intelligence, Vision Services Hands-on: • Using AutoML to create a custom machine learning model   Cloud Natural Language API • Natural Language Overview. • Features. • Derive insights from unstructured text using Google machine learning. • Hands-on: • Applying natural language understanding to apps with the Natural Language API. • Training your open ML models to classify, extract, and detect sentiment. • Speech-to-Text • Speech-to-Text Overview. • Features. • Convert speech into text using an API powered by Google's AI. Hands-on: • Setup for Automatic Speech Recognition • Text-to-Speech • Text-to-Speech Overview • Features. • Convert text into natural-sounding speech using a Google AI powered API. Hands-on: • Setting up Voice user interface in devices and applications Translation AI • Translation AI Overview • Features. • How Translation AI works? • Make your content and apps multilingual with fast, dynamic machine translation. Hands-on: • Compelling localization of your content Vision AI • Vision AI Overview. • Features. • How Vision AI works? • Using pre-trained Vision API models to detect objects, understand text,... Hands-on: • Set up for Accurately predicting and understanding images with ML • Training ML models to classify images by custom labels using AutoML Vision Video AI • Video AI Overview • Features. • How Video AI works? • Enable powerful content discovery and engaging video experiences. Hands-on: • Setup for Extracting rich metadata at the video, shot, or frame level. • Create Custom entity labels with AutoML Video Intelligence. Document AI • Document AI Overview. • Features. • How Document AI works?   Hands-on: • Extracting, classifying, and splitting data from documents. • Reducing manual document processing and minimizing setup costs. • Gaining insights from document data. Dialog AI • Dialog Flow Overview. • Features. • How Dialog Flow works? • Create, build, and manage virtual agents. Hands-on: • Building a chatbot based on a website or collection of documents.

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Cloud Deployment Manager • Cloud Deployment Manager Overview • Features • How Cloud Deployment Manager works? • Infrastructure as Code (IaC) with templates. Hands-on: • Creating instance and managing resources with Cloud Deployment Manager. Google Cloud Operations (Stackdriver) • Google Cloud Operations Overview. • Features. • How Google Cloud Operations works? • Monitoring, logging, and debugging using Google Cloud Operations suite. Hands-on: • Setting up monitoring and logging with Google Cloud Operations (Stackdriver). Cloud Monitoring • Cloud Monitoring Overview. • Features. • How Cloud Monitoring works? • Performance metrics and dashboards using Cloud Monitoring. Hands-on: • Creating and configuring dashboards and alerts in Cloud Monitoring. Cloud Logging • Cloud Logging Overview • Features • How Cloud Logging works? • Log management and analysis in Cloud Logging Hands-on: • Collecting and analyzing logs with Cloud Logging. Cloud Trace • Cloud Trace Overview. • Features. • How Cloud Trace works? • Distributed tracing and latency analysis in Cloud Trace. Hands-on: • Using Cloud Trace to identify performance bottlenecks. Cloud Profiler • Cloud Profiler Overview. • Features. • How Cloud Profiler works? • Performance profiling and optimization in Cloud Profiler. Hands-on: • Profiling application performance with Cloud Profiler. Cloud Shell • Cloud Shell Overview. • Features. • Commands. Hands-on: • Practice Cloud Shell commands for GCP Services.

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• Migration Overview. • Types of Migration • Hands-on: • VM Migration. • Database Migration. • Server Migration. • Modernization.

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Server Project 1: Hosting Website in Compute Engine Project 2: Setting up Global Load Balancer with Autoscaling Project 3: Realtime Environment with VPC, Subnets, Firewall, Routes and Compute Engine Project 4: Hosting Static Website in GCS Project 5: Migrating Database into Cloud SQL Instance Serverless Project 6: Hosting website in App Engine Project 7: Hosting website in Cloud Run Project 8: Setting up Monitoring/Logging in Real time environment Project 9: Blurring in appropriate image using Cloud Vision API Project 10: Hosting WordPress website in Docker Project 11: Hosting WordPress website in Kubernetes Project 12: Hosting multi-layer guestbook application in Kubernetes with Redis Database

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