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Introduction to Cloud Computing

3-6 months
Understanding cloud computing concepts and introduction to Amazon Web Services,Microsoft Azure and Google Cloud Platform

Aligned with Google Developer Professional Certification and Amazon Web Services Certified Developer Certification DVA-C02

What you'll learn

What you'll learn:
    Define what cloud computing is and is not Understand how Cloud Computing differs from traditional self-hosted IT deployment models Comparing Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) Detailed introduction to the three big cloud providers: Amazon Web Service (AWS), Microsoft Azure and Google Cloud Platform (GCP) Brief history and global infrastructure of each cloud provider Step-by-step instruction lab to create account on each cloud provider Overview of services and deep dive on core services of each cloud provider Designing and understanding sample architecture to solve 3 real world use cases Understanding how to use and optimize free tier offered by each cloud provider Interfaces (API, CLI, SDK) for interacting with cloud provider Podcast, blog and events recommendation to learn more Official certifications and certification path offered by cloud providers Comparing AWS, Azure and GCP and usage recommendation for a particular scenario

  • Career Path: Cloud Develope

    6 - 12 months
    Learn how to develop applications in AWS & GCP.

    Aligned with Google Developer Professional Certification and Amazon Web Services Certified Developer Certification DVA-C02

    What you'll learn

    1. Start your journey to become a Google Cloud Certified Professional Cloud Developer
    2. Get hands-on with compute, networking, storage, and database services in Google Cloud Platform
    3. Understand how to develop and deploy secure and robust applications on Google Cloud Platform
    4. Understand the best practices for building secure applications on the Google Cloud Platform
    5. Learn AWS Fundamentals
    6. Focus on Real World Cloud Architecture(s) - Microservices and Serverless
    7. Deploy an application using Elastic Beanstalk and AWS CICD tools with full automation
    8. Understand Serverless API using AWS Lambda, API Gateway, DynamoDB & Cognito
    9. Write infrastructure as code using AWS CloudFormation
    10. Implement messaging and integration patterns using AWS SQS, SNS & Kinesis
    11. Master the CLI, SDK and IAM security best practices in EC2
    12. Monitor, Trace and Audit your microservices using CloudWatch, X-Ray and CloudTrail
    13. Secure your entire AWS Cloud using KMS, Encryption SDK, IAM Policies & SSM

  • Career Path: Cloud Architect

    6-12 months
    Aligned with certifications like Google Cloud Engineer & Architect and AWS Certified Solutions Architect Associate SAA-C03
    What you'll learn:
    1. Perform Real-World Solution Architecture on AWS
    2. Learn the AWS Fundamentals (EC2, ELB, ASG, RDS, ElastiCache, S3)
    3. Learn the Serverless Fundamentals (Lambda, DynamoDB, Cognito, API Gateway)
    4. Analyze 10+ Solution Architectures (traditional & serverless)
    5. Understand the Well Architected Framework, Disaster Recovery
    6. Master all the differences of Databases on AWS & GCP
    7. Secure your entire AWS Cloud using KMS, IAM Policies & SSM
    8. Core principles of Software Architecture
    9. Learning about CI/CD
    10. Agile mindset

  • Career Path: Cloud Network Engineer

    6-12 months
    Learn about Cloud networking in details. Aligned with AWS Certified Advanced Networking Specialty Certification ANS-C01
    What you'll learn:
    1. Amazon VPC fundamentals
    2. VPC DNS & DHCP
    3. Network Performance and Optimization
    4. Load balancer and related concepts
    5. VPC traffic monitoring, troubleshooting and analysis
    6. VPC Private Connectivity
    7. Transit GAteway
    8. Hybrid network essentials
    9. VPN on AWS
    10. CDN
    11. Network Security Services

  • Career Path: Cloud Data Engineer

    6-12 months
    Learn Google Cloud Professional Data Engineer Certification with 80+ Hands-on demo on storage, Database, ML GCP Services
    What you'll learn:
    1. Grasp Basic Data Engineering & Database Concept
    2. Provision Basic GCP infrastructure services - VM, Container, GKE, GAE, Cloud Run
    3. Learn Various Storage Product like Cloud Storage, Disk, Filestore for Unstructured Data
    4. Structure Data Solution - SQL, Spanner, BigQuery
    5. Store massive semi structure data in BigTable, Datastore
    6. Deploy Data Pipeline on different Data Processing Product - DataFlow (Apache Beam), DataProc (Hadoop/Spark), Data Fusion, Composer(Airflow)
    7. Cleanse, Wrangle & Prepare Your Data with DataPrep
    8. Machine Learning Basics & its GCP Solution Product
    9. Search Data Asset from Data catalog
    10. Visualize Data by creating Reports & Dashboard with Google Data Studio
    11. Use Prebuilt ML API (Vision, Language, Speech) in your application
    12. Apply Auto ML on your own data to build model
    13. Build Machine Learning Custom Model with Notebook , Scikit Learn Library
    14. Deploy Scikit-learn Model, Tensorflow as endpoint for prediction
    15. Detect Sensitive PII data with Data Loss Prevention (DLP) API
    16. Store process and analyse your petabyte-scale data with Google data warehousing solution cloud bigquery
    17. Decouple application with asynchronous communication Google cloud pub sub
    18. Store data inside the memory for faster access with memory Store redis database

  • Career Path: Cloud DevOps

    6-12 months
    This course is for anybody who wants to get started with DevOps:

    As there are many tools & technologies in DevOps, it has become difficult for people to choose the right technologies.

    This course starts from very basics of command line, hands on demonstrations of many tools & technologies.

    Also most importantly it will show you how various technologies in DevOps work together by setting up your own projects.

    What you'll learn:
    1. Linux: Basics of Linux, Server Management in Linux, Vagrant, Basics of networking, Project, Vprofile Project Intro & Setup on VM’s
    2. Bash Scripting, Basics of scripting, Variables, Conditions, Loops etc, Automating day to day admin tasks
    3. Cloud Computing Intro, IAM, EC2 Instances, EBS Volumes, ELB, S3, Cloudwatch, RDS, Autoscaling, Route53, Project, AWS Cloud For Project Set Up Lift & Shift, Re-Architecting Web App on AWS Cloud [PAAS & SAAS]
    4. Version control system = Git & GitHub, Build Tools | Build & Test Java Code = Maven, Continuous Integration Intro, Jenkins, Jenkins as a Build Server, Jenkins Jobs | Build , Test, Deploy, Notify, Jenkins Master/Slave, Nexus, Sonarqube, Jenkins CI Pipeline, Jenkins Administration, Project, Continuous Integration Using Jenkins, Nexus, Sonarqube & Slack
    5. Python Scripting, Basics of python programming, vars, datatypes, conditions, loops, function, modules etc, Pythons for automating OS tasks
    6. Ansible Intro, Ad Hoc commands, Modules, YAML into, Playbooks, vars, conditions, loops, handlers, templates etc etc etc, Variables deep dive, Roles, Ansible for AWS, Project, Continuous Delivery and Configuration Management [Jenkins plus Ansible]
    7. AWS Part 2: VPC in depth, Log management and custom metrics, Project, Vprofile on Beanstalk & RDS, Code Commit, Code Build & Code Pipeline, CI & CD on AWS Cloud for Vprofile Project, Beanstalk, RDS, CodePipeline etc
    8. Docker Intro, Understanding and Implementing Containers, Volumes, Network, logs etc, Building Images for Vprofile project, Docker compose to run vprofile multi containers, Kubernetes Intro, Kubernetes setup for production Env, Kubernetes objects, Pods, Services, Controllers, Deployment, Replication, Autoscaling, Resource quotas, secret, configmap, namespace., Project, Vprofile Project deployment on Kubernetes
    9. Terraform for AWS Cloud automation
    10. Project on GitOps

  • Career Path: Cloud Support Engineer

    6-12 months

    Learn how to become to the geek who is being talked about or searched for when "all hell breaks down". Among the most well-sought out roles in Cloud Careers is the career of Cloud DevOps + Support

    What you'll learn:
    1. Everything in Cloud DevOps
    2. ITIL framework
    3. Incident & Problem Management
    4. IT Operations Frameworks
    5. Disaster Recovery
    6. Reliability, Resiliency concepts