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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery | Frequency Of Classes |
|---|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based | Weekends |
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IBMMicrosoft CorporationBelhaven University, Mississippi |
- Total Admission Fee - $ 1,499
The Syllabus
- Module 01 – Introduction to Cloud Computing & AWS
- Module 02 – Elastic Compute and Storage Volumes
- Module 03 – Load Balancing, Autoscaling and DNS
- Module 04 – Virtual Private Cloud
- Module 05 – Storage – Simple Storage Service (S3)
- Module 06 – Databases and In-Memory DataStores
- Module 07 – Management and Application Services
- Module 08 – Access Management and Monitoring Services
- Module 09 – Automation and Configuration management
- Module 10 – AWS Migration
Self Paced
- Module 11 – Architecting AWS – whitepaper
- Module 12 – DevOps on AWS
- Module 13 – Amazon FSx and Global Accelerator
- Module 14 – AWS Architect Interview Questions
- Module 01 – Introduction to Microsoft Azure
- Module 02 – Introduction to ARM & Azure Storage
- Module 03 – Introduction to Azure storage
- Module 04 – Azure Virtual Machines
- Module 05 – Azure App and Container services
- Module 06 – Azure Networking – I
- Module 07 – Azure Networking – II
- Module 08 – Authentication and Authorization in Azure using RBAC
- Module 09 – Microsoft Azure Active Directory
- Module 10 – Azure Monitoring
- Module 01 – Infrastructure Setup
- Module 02 – Introduction to DevOps
- Module 03 – Version Control with Git
- Module 04 – Containerization Using Docker – 1
- Module 05 – Configuration Management using Puppet
- Module 06 – Ansible
- Module 07 – Continuous Testing using Selenium
- Module 08 – Continuous Integration with Jenkins
- Module 09 – Introduction to Kubernetes Part 1
- Module 10 – Introduction to Kubernetes Part 2
- Module 11 – Continuous Monitoring using ELK
- Module 12 – Terraform Modules & Workspaces
- Module 01 – Python Environment Setup and Essentials
- Module 02 – Python language Basic Constructs
- Module 03 – OOP concepts in Python
- Module 04 – Database connection
- Module 05 – NumPy for mathematical computing
- Module 06 – SciPy for scientific computing
- Module 07 – Matplotlib for data visualization
- Module 08 – Pandas for data analysis and machine learning
- Module 09 – Exception Handling
- Module 10 – Multi Threading & Race Condition
- Module 11 – Packages and Functions
- Module 12 – Web scraping with Python
- Module 01 – Introduction to Google Cloud
- Module 02 – Google Cloud Services
- Module 03 – Google Computing Services
- Module 04 – Google Storage Services
- Module 05 – Google Cloud APIs
- Module 06 – Google Networking Services
- Module 07 – IAM & Security Services
- Module 08 – Migrating to Google Cloud
- Module 01 – Core Java Concepts
- Module 02 – Writing Java Programs using Java Principles
- Module 03 – Language Conceptuals
- Module 04 – Operating with Java Statements
- Module 05 – Concept of Objects and Classes
- Module 06 – Introduction to Core Classes
- Module 07 – Inheritance in Java
- Module 08 – Exception Handling in Detail
- Module 09 – Getting started with Interfaces and Abstract Classes
- Module 10 – Overview of Nested Classes
- Module 11 – Getting started with Java Threads
- Module 12 – Overview of Java Collections
- Module 13 – Understanding JDBC
- Module 14 – Java Generics
- Module 15 – Input/Output in Java
- Module 16 – Getting started with Java Annotations
- Module 17 – Reflection and its Usage
- Module 01 – Splunk Development Concepts
- Module 02 – Basic Searching
- Module 03 – Using Fields in Searches
- Module 04 – Saving and Scheduling Searches
- Module 05 – Creating Alerts
- Module 06 – Scheduled Reports
- Module 07 – Tags and Event Types
- Module 08 – Creating and Using Macros
- Module 09 – Workflow
- Module 10 – Splunk Search Commands
- Module 11 – Transforming Commands
- Module 12 – Reporting Commands
- Module 13 – Mapping and Single Value Commands
- Module 14 – Splunk Reports and Visualizations
- Module 15 – Analyzing, Calculating and Formatting Results
- Module 16 – Correlating Events
- Module 17 – Enriching Data with Lookups
- Module 18 – Creating Reports and Dashboards
- Module 19 – Getting Started with Parsing
- Module 20 – Using Pivot
- Module 21 – Common Information Model (CIM) Add-On
Splunk Administration Topics
- Module 22 – Overview of Splunk
- Module 23 – Splunk Installation
- Module 24 – Splunk Installation in Linux
- Module 25 – Distributed Management Console
- Module 26 – Introduction to Splunk App
- Module 27 – Splunk Indexes and Users
- Module 28 – Splunk Configuration Files
- Module 29 – Splunk Deployment Management
- Module 30 – Splunk Indexes
- Module 31 – User Roles and Authentication
- Module 32 – Splunk Administration Environment
- Module 33 – Basic Production Environment
- Module 34 – Splunk Search Engine
- Module 35 – Various Splunk Input Methods
- Module 36 – Splunk User and Index Management
- Module 37 – Machine Data Parsing
- Module 38 – Search Scaling and Monitoring
- Module 39 – Splunk Cluster Implementation
- Module 01 – Introduction to Linux
- Module 02 – File Management
- Module 03 – Files and Processes
- Module 04 – Introduction to Shell Scripting
- Module 05 – Conditional, Looping statements and Functions
- Module 06 – Text Processing
- Module 07 – Scheduling Tasks
- Module 08 – Advanced Shell Scripting
- Module 09 – Database Connectivity
- Module 10 – Linux Networking
- Module 01 – Introduction to Microsoft Azure
- Module 02 – Introduction to ARM & Azure Storage
- Module 03 – Introduction to Azure storage
- Module 04 – Azure Virtual Machines
- Module 05 – Azure App and Container Services
- Module 06 – Azure Networking
- Module 07 – Azure Networking – II
- Module 08 – Authentication and Authorization in Azure using RBAC
- Module 09 – Microsoft Azure Active Directory
- Module 10 – Azure Monitoring
- Module 11 – Multi Factor Authentication (MFA)
- Module 12 – Migration in Azure
- Module 13 – Azure Data Platform – I
- Module 14 – Azure Data Platform – II
- Module 01 – Introducing Agile Principles
- Module 02 – Defining the Agile Framework
- Module 03 – Agile Ceremonies and Artifacts
- Module 04 – Refining the Product Backlog
- Module 05 – Estimating and Prioritizing Product Backlog Items
- Module 06 – Agile Responsibilities to the Team
Instructors
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