Google Cloud Course At Paarsh E-Learning

Cloud

Google Cloud

Overview
Syllabus

Course description

Google Cloud is a suite of cloud computing services provided by Google. It offers a wide range of products and services for building, deploying, and managing applications and infrastructure in the cloud. Here are some key components and capabilities of Google Cloud:

Compute Services: Google Cloud provides various computing services, including virtual machines (Google Compute Engine), managed containers (Google Kubernetes Engine), and serverless computing (Google Cloud Functions and Cloud Run). These services allow you to run and manage applications and workloads in a scalable and flexible manner.
Storage and Databases: Google Cloud offers different storage options to meet various needs. Google Cloud Storage provides object storage for storing and retrieving large amounts of data. Google Cloud SQL and Google Cloud Spanner are managed relational database services, while Google Cloud Bigtable and Google Cloud Firestore are NoSQL databases. Additionally, Google Cloud provides other specialized storage services like Google Cloud Filestore for file storage and Google Cloud Storage Transfer Service for data migration.
Networking: Google Cloud provides networking services to connect and manage your infrastructure. This includes Virtual Private Cloud (VPC) for creating isolated network environments, Cloud Load Balancing for distributing traffic across instances, Cloud DNS for managing domain names, and Cloud CDN for content delivery.
Big Data and Analytics: Google Cloud offers a suite of tools for big data processing, analytics, and machine learning. This includes Google BigQuery for analyzing large datasets, Google Cloud Pub/Sub for real-time messaging, Google Cloud Dataflow for data processing, and Google Cloud AI Platform for building and deploying machine learning models.
AI and Machine Learning: Google Cloud provides a range of AI and machine learning services, including pre-trained models and APIs for vision, language, and speech recognition. Google Cloud AutoML allows users to build custom machine-learning models without extensive knowledge of machine-learning algorithms. TensorFlow, an open-source machine learning framework, is also available on Google Cloud.
Management Tools: Google Cloud provides management tools for monitoring, logging, and managing your resources. Google Cloud Monitoring allows you to monitor the performance and health of your applications and infrastructure. Google Cloud Logging provides centralized logging and analysis of logs. Google Cloud Deployment Manager and Google Cloud Console help you manage and configure your resources.
Security and Identity: Google Cloud emphasizes security and provides robust security features. It offers identity and access management (IAM) for managing user access and permissions. Google Cloud Key Management Service (KMS) enables you to manage and control encryption keys. Google Cloud provides various security services and compliance certifications to ensure the protection of your data and infrastructure.

What you will learn from this course?

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

This course includes!

Daily Live session
A recorded session with problem-solving material
Access on Mobile and TV
Certificate of completion
Recommendation Letter
100% Job Placements

This course is for

Who wants to learn Google Cloud Platform.
Students preparing for Google Cloud Certification
Students who want to become masters in Google Cloud Platform.

Prerequisites for this course

The student should be computer science knowledge will help to understand and prepare for certification.

Google Cloud Syllabus

Introduction To Cloud Computing And Google Cloud Platform (gcp)

Understanding cloud computing concepts and advantages Overview of GCP services and offerings Setting up a GCP account and navigating the GCP Console Introduction to Google Cloud regions, zones, and projects
Gcp Compute Services

Creating and managing virtual machines with Compute Engine Understanding machine types, images, and persistent disks Autoscaling and load balancing using Managed Instance Groups Introduction to Kubernetes Engine for container orchestration
Gcp Storage Services

Overview of GCP storage options: Cloud Storage, Cloud SQL, Bigtable, etc. Setting up and using Cloud Storage for object storage Managing relational databases with Cloud SQL NoSQL data storage with Bigtable
Networking And Security In Gcp

Creating Virtual Private Cloud (VPC) networks Configuring firewall rules and network routes Introduction to Google Cloud Identity and Access Management (IAM) Using Google Cloud Load Balancing for distributing traffic
Gcp Data Services

Introduction to Big Data and GCP's data analytics offerings Processing and analyzing data with BigQuery Data warehousing using BigQuery Dataflow for real-time stream and batch processing
Ai And Machine Learning Services

Overview of GCP's AI and ML services: Vision AI, Natural Language AI, etc. Creating custom machine learning models with AutoML Training and deploying models with AI Platform Introduction to TensorFlow on GCP
Gcp Devops And Deployment

Setting up continuous integration and deployment using Cloud Build Managing and deploying applications with App Engine Monitoring and logging using Stackdriver Introduction to GCP Marketplace for accessing pre-built solutions
Final Projects And Review

Students work on individual or group projects applying GCP services Instructor guidance and feedback during project development Polishing and refining projects Final presentations and critiques