IT Support & Cloud Administration

It Training

IT Support & Cloud Administration

Sazan’s IT Support & Cloud Administration is designed to provide a well-rounded foundation in modern IT infrastructure and cloud technologies. It begins with Networking Basics, covering essential concepts, network services, and troubleshooting. The program then dives into Windows Fundamentals & Configuration, offering in-depth knowledge of Windows OS, including the implementation of Windows Server and Active Directory, and mastering configuration tools like SCCM and Intune. Following this, participants will gain expertise in Microsoft 365, focusing on its fundamentals, security, and administrative tasks. It also includes a dedicated section on Linux, teaching both fundamentals and system administration. A crucial component is the introduction to AWS Basics, which covers cloud fundamentals, networking, and storage within the Amazon Web Services ecosystem.

Prerequisite for Program: Linux and Basic Understanding of AWS (Amazon Web Services) Cloud computing, knowledge of Operating systems, Understanding of Microsoft products like server 2019, O365

Module 1: Networking Basics

Class 1:Networking Essentials (L1)
Class 2:Network Services & Troubleshooting (L1–L2)

Module 2: Windows Fundamentals & Configuration

Class 3:Windows OS Basics (L1)
Class 4:Windows Server & Active Directory (L2)
Class 5:Windows Configuration Tools (SCCM & Intune) (L2–L3)

Module 3: Microsoft 365

Class 6:Microsoft 365 Fundamentals (L1)
Class 7:Microsoft 365 Security & Admin (L2–L3)

Module 4: Linux

Class 8:Linux Fundamentals (L1)
Class 9:Linux Administration (L2–L3)

Module 5: AWS Basics

Class 10: AWS Fundamentals (L1–L2)
Class 11: AWS Networking & Storage (L2–L3)

Module 6: Capstone Project

Class 12: End-to-End IT Operations Project (4 Hours)

Module 7: Terraform– 2 Class

Class 13: Terraform theory (4 Hours)
Class 14: Terraform Lab 4 hours

Program Outline

Pre-requisite for Program: Good communication skills, Microsoft Office

Job roles: Data Scientist, Machine Learning Engineer, Data Analyst,
Business Intelligence Analyst, AI Specialist, Research Scientist
(AI/ML), NLP Engineer, Analytics Consultant, Data Product Manager.