Google Cloud Computing Foundations

Virtual Internship Program

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Google Cloud Platform (GCP) covers essential cloud computing concepts and advanced services in five units. It starts with cloud computing fundamentals and an overview of GCP services, progressing to practical skills like setting up accounts, managing virtual machines (VMs) with Compute Engine, and orchestrating containers with Kubernetes Engine. Participants also learn about storage options including Google Cloud Storage (GCS), databases like Cloud SQL and NoSQL solutions, and networking fundamentals such as VPC setup and IAM for access control. The course further explores big data tools like BigQuery and Dataflow for data processing, and AI Platform for building and deploying machine learning models. Through hands-on labs, participants gain proficiency in leveraging GCP's capabilities for compute, storage, networking, security, big data, and machine learning applications, preparing them for real-world cloud computing challenges.

Highlights

30 Hrs

Live Instructor-led Training

30 Hrs

Self Paced Learning

Dedicated Mentor Support

Build Practical Skills

Skills

Cloud Computing Google Cloud Platform (GCP) Infrastructure as a Service (IaaS) Platform as a Service (PaaS) Software as a Service (SaaS) Networking Identity and Access Management (IAM) Machine Learning Data Preparation API Integration

Curriculum

    Introduction to Cloud computing-Cloud vs. traditional architecture-IaaS, PaaS, and SaaS -Cloud Computing Fundamentals-Overview of Google Cloud Platform (GCP) Services-Setting up a GCP Account and Project-Exploring GCP Console and Command-Line Interface (CLI)-Understanding GCP Pricing and Billing-Hands-on Lab: Setting up a GCP Account and Basic Navigation

    Introduction to Compute Engine: Virtual Machines (VMs) on GCP-Configuring and Launching VM Instances-Autoscaling and Load Balancing with Compute Engine-Introduction to Kubernetes Engine (GKE) for Container Orchestration-Deploying Applications on Kubernetes Engine-Hands-on Lab: Creating and Managing VM Instances-Hands-on Lab: Deploying Applications on GKE

    Overview of Google Cloud Storage (GCS) and Use Cases-Configuring and Managing GCS Buckets and Objects-Understanding Cloud SQL for Managed Relational Databases-Exploring NoSQL Databases with Cloud Firestore and Bigtable-Data Migration Strategies and Best Practices-Hands-on Lab: Working with GCS and Cloud SQL

    Introduction to Virtual Private Clouds (VPCs) in GCP-Configuring Network Resources: Subnets, Routes, and Firewalls-Identity and Access Management (IAM) in GCP-Data Encryption at Rest and in Transit-Implementing Security Best Practices on GCP-Hands-on Lab: Setting up VPC Networks and IAM Policies-Introduction to Infrastructure as Code (IaC)-Terraform - Monitoring and managing services, applications, and infrastructure Google Cloud's operations suite-Cloud Monitoring-Monitor a Compute Engine virtual machine (VM) instance with Cloud Monitoring.

    Overview of Big Data Services on GCP- BigQuery, Dataflow, Dataproc-Processing and Analyzing Large Datasets with BigQuery-Building Data Pipelines with Dataflow-Introduction to Machine Learning on GCP with AI Platform-Machine learning in the cloud-Building ML models with Vertex AI- Perform BigQuery for data processing and exploratory data analysis, and the Vertex AI platform to train and deploy a custom TensorFlow model-AutoML-Custom training- Deploying and Managing Machine Learning Models- Hands-on Lab: Running Data Processing Pipelines with Dataflow-Hands-on Lab: Training and Deploying ML Models with AI Platform-Pre-built APIs

Features

Recognized and supported by key players in the respective industry.

Learn actively through hands-on projects—Project-Based Learning builds real-world skills and understanding.

Guided and empowered by mentorship for enhanced learning and skill development.

Frequently Asked Questions

The virtual internship program is 60 Hrs. experiential learning program containing hands-on bootcamps, courses, learning resources and project work.

The training program will be organized online via Zoho.

No. This program is for individual eligible students only, team participation is not acceptable.

Yes. Successful learners will receive a virtual internship completion certificate.

Yes, Dedicated Mentor support is provided to complete your project.

We would provide necessary Learning Resources for the project so that you can understand the concepts before actually developing the whole project.

Participants can use our dedicated support channel to connect with the mentors.