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Become a Certified DevOps Engineer
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What you’ll learn ?You’re in for a wonderful experience in terms of learning. From working with Azure to getting a hang of Architecting in AWS. You'll find everything to prepare you for a career as a DevOps Engineer.- Exclusive lessons from Industry Experts
- Expert guidance & support
- Codekata – Gamified coding Arena
- MicroARC – Quick Quizzes to enhance your skill
- Internationally recognized accreditation
Course Modules:
Azure
Azure
- 14 Exclusive Lessons
- 12 hrs
- English
- Lab 1: - Azure, Cloud, SAAS, PAAS and IAAS.
- Lab 2:- SQL Server on Azure ( DTU & EDTU)
- Lab 3: - Azure Functions.
- Lab 4: - Azure storage (Blobs, Table, File and Queue).
- Lab 5: - Azure Cosmos DB
- Lab 6: - Microservices & Azure Fabric
- Lab 7: - Azure tables, Partition and Row keys.
- Lab 8: - Block blobs, Append blobs & Page blobs.
- Lab 9: - Azure Queues, visibility timeouts, Peek & De-Queue.
- Lab 10: - Cloud services vs App services.
- Lab 11: - WebJob and background processing.
- Lab 12: - Azure DevOps using Azure Pipeline.
- Lab 13: - Microservices using Docker and Azure.
- Lab 14: - Azure Virtual Network(VNET) and Network Security Groups(NSG).
AWS
AWS
- 13 Exclusive Lessons
- 2 hrs
- English
Learn AWS Glue using pyspark
Learn AWS Glue using pyspark
- 41 Exclusive Lessons
- 7 hrs
- English
- Section 1 - Introduction to the Course
- Section 2 - Python Basics - Introduction - Overview IDE installation
- Section 2 - Python Basics - Introduction - Variables, Namespaces, Datatypes, Find the type, type Conversion
- Section 2 - Python Basics - Introduction - Import & Operators
- Section 2 - Python Basics - Flow Control - if-else, for loop
- Section 2 - Python Basics - Flow control - while loop, break, continue
- Section 2 - Python Basics - Functions - Functions & Function Arguments
- Section 2 - Python Basics - Functions - Anonymous Function & Modules
- Section 2a - Python Basics - Datatypes - List & Tuple
- Section 2b - Python Basics - Datatypes - List & Tuple
- Section 2a - Python Basics - Datatypes - Set & Dictionary
- Section 2b - Python Basics - Datatypes - Set & Dictionary
- Section 2a - Python Basics - Exception - Exception Handling & User Defined exceptions
- Section 2b - Python Basics - Exception - Exception Handling & User Defined exceptions
- Section 3 - PySpark - Introduction to Spark
- Section 3 - Pyspark - Spark Architecture
- Section 3 - Pyspark - API's In Pyspark
- Section 3- Pyspark - Databricks Set up
- Section 3 -Pyspark - Load Data Inside Data Bricks
- Section3 - Pyspark - DataFrame Basics Part 1
- Section 3 - Pyspark - DataFrame Basics Part 2
- Section3 - Pyspark- Working With Columns
- Section3- Pyspark - Filter
- Section3 - Pyspark - Sorting
- Section3 - Pyspark - Aggregate Operations in DataFrame
- Section 3- Pyspark - Join
- Section 4 - AWS Glue - Introduction
- Section 4 - AWS Glue - Architecture on populating Glue Catalog
- Section 4- AWS Glue - Loading Data in S3
- Section 4 - AWS Glue - Setting up Crawlers
- Section 4 - AWS Glue - Using Athena to Query the Data Catalog
- Section 4 - AWS Glue - Automate DataCatalog Refresh using Lambda
- Section 5 - AWS Glue - Authoring Jobs using Python shell in AWS Glue Part 1
- Section 5 -AWS Glue - Authoring Jobs using Python shell in AWS Glue Part 2
- Section 5 - AWS Glue - Authoring Jobs using pyspark (Script authored by us) - Part 1
- Section 5 - AWS Glue - Authoring Jobs using pyspark (Script authored by us) - Part 2
- Section 5 - AWS Glue - Authoring Jobs using pyspark (Autogenerated by Glue )
- Section 6 - AWS Glue Monitoring ,Triggers and debugging - Setting up Triggers for Glue Jobs
- Section 6 - AWS Glue Monitoring ,Triggers and debugging - Setting up Monitoring and Calculate number of DPUs
- Section 6 - AWS Glue Monitoring ,Triggers and debugging - Setting up Endpoint for debugging Glue jobs
- Section 6 - AWS Glue Monitoring ,Triggers and debugging - Using Zeppelin notebook to debug Glue Jobs
GIT
GIT
- 14 Exclusive Lessons
- 2 hrs
- Tamil
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