Microsoft Azure Training
Foster a growth mindset and build cloud skills to maximize impact across your entire org by learning Microsoft Azure Training, from individual career advancement to improved business outcomes. Discover technical training, certifications, and personalized learning programs that will boost the performance of your teams.
Course Overview
Microsoft Azure Training by ACLM Institute of Professional Studies is a two-month, intermediate-level programme for working professionals who want to build practical cloud capabilities across Azure compute, storage and databases, networking, data and analytics, and AI and machine learning. The programme combines instructor-led live online group training with one-to-one support, assignments, notes and ACLM ebooks. Learners work with Azure services, developer tools, security technologies, automation frameworks and infrastructure as code practices.
Why Learn This Course?
Cloud capability is increasingly relevant to technology teams working with applications, infrastructure, data, security and automation. This programme helps learners develop a structured understanding of Microsoft Azure and apply it through practical exercises and projects. It connects core Azure services with scripting, programming, infrastructure as code, monitoring, governance and security practices, supporting both individual career development and improved technical outcomes for organisations.
What You Will Learn
- Azure cloud concepts, resource organisation and service selection
- Azure compute services for virtual machines, containers, serverless workloads and application hosting
- Azure storage services and database options for different application requirements
- Azure networking concepts, connectivity, traffic management and secure access
- Data and analytics services for ingestion, processing, storage and reporting workflows
- Azure AI and machine learning concepts and service capabilities
- Microsoft Entra ID, identity management and single sign-on concepts
- Security and governance with Microsoft Defender for Cloud, Microsoft Sentinel, Azure Policy and Azure Monitor
- Azure PowerShell, Azure CLI and REST API-based administration
- Infrastructure as code using ARM templates, Bicep and Terraform
- Automation and delivery workflows involving Jenkins and cloud resources
- Application and cloud automation using Python, .NET with C#, Java, JavaScript and Go
Skills You Will Gain
- Designing foundational Azure cloud environments
- Selecting appropriate Azure compute, storage, database and networking services
- Managing Azure resources through the portal, Azure CLI, PowerShell and REST APIs
- Applying identity and access concepts with Microsoft Entra ID
- Using monitoring, policy and cloud security services for operational oversight
- Creating repeatable infrastructure with ARM templates, Bicep and Terraform
- Understanding cloud application deployment and automation workflows
- Working with Azure data, analytics, AI and machine learning service concepts
- Analysing practical cloud scenarios and mapping requirements to Azure services
- Documenting and presenting cloud implementation decisions
Who Should Join?
Working professionals seeking structured, practical Microsoft Azure skills for cloud, infrastructure, software development, data, security, automation or related technology responsibilities. The programme is suitable for learners at an intermediate level who want to strengthen their Azure and cloud engineering capabilities.
Prerequisites
Learners should be comfortable with the supplied identity, security and governance technologies: Microsoft Entra ID, including directory synchronisation and Single Sign-On; Microsoft Defender for Cloud; Microsoft Sentinel; Azure Policy; and Azure Monitor. Familiarity with at least one programming or scripting language is useful. Relevant technologies include Python, .NET with C#, Java, JavaScript, Go, Azure PowerShell, Azure CLI, REST APIs, ARM templates, Bicep, Terraform and Jenkins.
Training Methodology
ACLM delivers the programme through instructor-led, live online training with group learning and one-to-one sessions. Learning is supported by guided demonstrations, practical exercises, assignments, discussion of implementation choices, project work and ACLM-provided notes and ebooks. The course is designed for online learners in India and international markets. No recorded-training delivery is included in the supplied course facts.
Detailed Course Syllabus
| Module | Topics / Lessons |
|---|---|
| Azure Fundamentals and Cloud Resource Foundations Establish a working foundation in Azure concepts, resource organisation, service selection and cloud operating principles. Learners begin connecting business and technical requirements to Azure capabilities. |
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| Compute, Application Hosting and Developer Services Develop practical knowledge of Azure compute options and application hosting patterns, including virtualised, containerised, serverless and platform-managed approaches. |
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| Storage, Databases, Data and Analytics Cover Azure storage and database choices before progressing to practical data and analytics architectures. The module focuses on selecting services according to workload and data requirements. |
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| Azure Networking, Identity and Security Build an understanding of secure Azure connectivity, identity management and security operations using the identity and security technologies specified for the programme. |
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| Azure Administration, Automation and Infrastructure as Code Develop repeatable and efficient cloud administration practices using command-line tools, APIs, scripting and declarative infrastructure approaches. |
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| AI, Machine Learning, Integration and Capstone Practice Bring together Azure AI, machine learning, development languages, security, automation and infrastructure skills through scenario-based work and a final practical project. |
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Practical Projects
- Azure Core Cloud Environment — Plan and implement a foundational Azure environment covering resource organisation, compute selection, storage, database considerations and basic operational requirements. Learners document the architecture and explain why each service was selected. Tools: Microsoft Azure portal, Azure virtual machines or application hosting services, Azure Storage, Azure database services, Azure CLI and Azure PowerShell
- Secure Application Network — Design a cloud application network with appropriate connectivity, access controls, traffic considerations, identity integration and monitoring. The project focuses on translating application requirements into a practical Azure network design. Tools: Azure networking services, Microsoft Entra ID, Azure Monitor, Azure Policy and Microsoft Defender for Cloud
- Infrastructure as Code Deployment — Create a repeatable Azure deployment using infrastructure as code. Learners compare template approaches, define cloud resources declaratively and review deployment consistency and maintainability. Tools: ARM templates, Bicep, Terraform, Azure CLI and Azure PowerShell
- Cloud Automation and Delivery Workflow — Develop an automation workflow that uses scripts or REST APIs to provision, inspect or manage Azure resources. Learners connect the workflow to a delivery and configuration approach and document operational steps. Tools: Python or another supported programming language, Azure REST APIs, Azure CLI, PowerShell and Jenkins
- Azure Data, Analytics and AI Solution — Map a business-oriented data or AI requirement to suitable Azure services. Learners outline ingestion, storage, processing, analytics and AI or machine learning stages, then present the proposed solution and its operational considerations. Tools: Azure data and analytics services, Azure AI and machine learning services, Azure Storage and Azure Monitor
Career Opportunities
The skills developed in this programme can support technology responsibilities related to Azure cloud administration, cloud engineering, infrastructure automation, application development, DevOps, cloud security, data and analytics, and AI or machine learning operations. Specific role suitability depends on the learner’s existing experience, technical specialisation and continued practice.
Certification
Microsoft Certification is available as stated in the course facts. The supplied information does not specify a particular Microsoft certification examination or guarantee of certification; learners should confirm the relevant certification pathway and assessment requirements separately.
Frequently Asked Questions
What is the duration of Microsoft Azure Training?
The programme duration is 02 months.
Who is this Azure course designed for?
It is designed for working professionals seeking intermediate-level skills in Azure cloud, infrastructure, development, data, security, automation or related technology areas.
Is the training delivered online?
Yes. The course is available online through instructor-led live training. The supplied course facts also describe the training mode as Online / Offline, but no offline location is provided; ACLM does not publish an offline location for this course.
Is the course recorded?
No. Recorded training is not included in the supplied course facts.
What Azure topics are covered?
The programme covers compute, storage and databases, networking, data and analytics, AI and machine learning, identity, security, governance, monitoring, automation and infrastructure as code.
Which tools and technologies are included?
The course includes Azure PowerShell, Azure CLI, REST APIs, ARM templates, Bicep, Terraform, Jenkins, Microsoft Entra ID, Microsoft Defender for Cloud, Microsoft Sentinel, Azure Policy and Azure Monitor, along with Python, .NET with C#, Java, JavaScript and Go in relevant scenarios.
Does the course include practical work?
Yes. Practical work includes core cloud environments, developer tools, security services, automation frameworks, infrastructure as code and end-to-end Azure solution design.
Is certification available?
Microsoft Certification is available as stated in the course facts. A specific examination or certification guarantee has not been supplied, so learners should confirm the applicable Microsoft pathway and assessment requirements.
What learning support does ACLM provide?
The training methodology includes instructor-led live group training, one-to-one sessions, notes, assignments and ebooks from ACLM Institute of Professional Studies.
What is the course fee?
The supplied course fee is INR 24,999.88. Learners should confirm the current fee and applicable terms with ACLM Institute of Professional Studies before enrolment.
Ready to Start Learning?
Contact ACLM Institute of Professional Studies for course guidance, demo scheduling and registration.
Want the complete syllabus?
Get the detailed module-wise ACLM syllabus in PDF after mobile verification.