Azure Fundamentals Certification Training in Gurgaon
Master Azure Cloud and get prepared for Azure official certifications with our role based courses tailored to your specific needs
- Enroll for Cloud Architecture, Developer, Operations, DevOps, AI / ML, Networking and Security Certifications
- Experience blended learning through interactive offline and online sessions.
- Job Assured Course

Certification aligned to
- Course Duration - 2 months
- Get Trained from Industry Experts
Train using realtime course materials using online portals & trainer experience to get a personalized teaching experience.
Active interaction in sessions guided by leading professionals from the industry
Gain professionals insights through leading industry experts across domains
Enhance your career with 42+ in-demand skills and 20+ services
Azure Cloud Certification Overview
This Azure live-learning courses cover deep into designing, developing, deploying, and managing scalable solutions and infrastructure across AZURE platforms, equipping you for success in today’s fast-evolving technology landscape
- Benefit from ongoing access to all self-paced videos and archived session recordings
- Success Aimers supports you in gaining visibility among leading employers
- Get prepared for 10+ Azure official certifications with our role based courses tailored to your specific needs
- Engage with real-world capstone projects
- Engage in live virtual classes led by industry experts, complemented by hands-on projects
- Learn 42+ In-Demand Skills & 20+ Services
- Job interview rehearsal sessions
Basic, high-level knowledge of Azure Cloud services and terminology. Ideal starting point for Azure Certification for those with no prior IT/cloud experience transitioning to cloud careers, or business professionals seeking foundational cloud literacy
Familiarity with artificial intelligence (AI), machine learning (ML), and generative AI fundamentals and real-world applications
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What is Azure Cloud Fundamentals ?
Azure Certified Cloud Fundamentals are essential for driving AI innovation in software development and testing. They manage the full deployment lifecycle—deploying apps, building and maintaining pipelines for web applications and K8s workflows, and automating development and testing processes. By streamlining workflows and resolving challenges in webapp deployment on cloud, and maintenance, they help organizations deliver reliable, high-performance applications faster and more efficiently.
The role of Azure Cloud Fundamentals?
Azure Certified Cloud Engineers in software development and testing oversees the end-to-end lifecycle of web applications, from development to deployment and system performance optimization. Key responsibilities include:
Exploring Emerging Technologies: Leveraging Cloud technologies, Cloud networking, and security techniques to enhance efficiency and streamline deployment workflows.
Scalable Data, AI & WebApps Development: Designing and implementing web applications that address critical business needs.
Seamless Deployment: Coordinating web deployment with infrastructure management for smooth delivery.
Workflow Optimization: Creating, analyzing, and refining automation scripts and deployment workflows to maximize productivity.
For professionals aspiring to excel in this field, the Success Aimers Azure Certified Cloud Engineers Course provides hands-on training to master these skills. The program equips you to confidently manage deployment lifecycles, deployment pipelines, automation, and deployment processes, positioning you as a high-impact Azure Certified Cloud Engineers engineer in software development and testing.”**
Who should take this Azure Certified Cloud Engineers course?
The AWS Certified Cloud Engineer Course is tailored for professionals aiming to accelerate their careers in Cloud, data, and technology-driven sectors. It is particularly valuable for roles including:
Cloud Team Leaders
Software and DevOps Developers
Cloud Engineers and IT Managers
Cloud & Infrastructure Engineers
Cloud Researchers and Application Engineers
This program equips participants with the skills to lead DevOps & infrastructure initiatives, implement advanced deployment workflows, and drive innovation in software development and testing.
What are the prerequisites of Azure Certified Cloud Engineer Course?
Prerequisites for the Azure Certified Cloud Engineer Certification Course”
To ensure a seamless learning experience, candidates are expected to have:
Educational Background:Â An undergraduate degree or high school diploma in a relevant field.
Technical Foundation: Knowledge of IT, software development, or data science fundamentals.
Programming Skills:Â Basic proficiency in languages such as Python or JavaScript.
Cloud Familiarity:Â Experience with cloud platforms like AWS or Microsoft Azure.
Meeting these prerequisites enables learners to effectively grasp advanced Cloud concepts, including DevOps tool, pipeline workflows, Webapp deployment, and automation throughout the course.
What are the prerequisites of Azure Certified Cloud Engineer Course?
- Azure Certified Cloud Engineer
- SRE Reliability Engineer
- Cloud Solutions Release Manager
- Infrastructure/Cloud Automation Engineer
- Cloud Engineer / Cloud Architect
- Cloud Infrastructure Engineer
- Cloud Deployment Engineer
| Training Options | Weekdays (Mon-Fri) | Weekends (Sat-Sun) | Fast Track |
|---|---|---|---|
| Duration of Course | 3 months | 4 months | 1 month |
| Hours / day | 1-2 hours | 2-3 hours | 5 hours |
| Mode of Training | Offline / Online | Offline / Online | Offline / Online |
Microsoft Certified Azure Fundamentals – Exam AZ-900, Microsoft Certified Azure AI Fundamentals – Exam AI -900 & Microsoft Certified Azure Data Fundamentals – Exam DP -900 Course Overview
This Azure Cloud Certification training enhances your career after choosing the relevant certification path based on the roles. You can practice with hands-on labs and capstone projects and gain proficiency with Azure tools. After completion of the course, you can leverage Job assistance services and enhance career prospects.
Below are the leading cloud career roles and the corresponding Azure certification path. You can choose the role(s) that progress your Azure certification journey toward your goals. These learning paths are recommendations, not requirements.
Fundamentals
Microsoft Azure Fundamentals (AZ-900)
Getting started with AZ-900
- Overview of the AZ-900 Exam
- AZ-900 - Skills Measured
- AZ-900 - Time Commitment
- Overview of Azure
- Demo: Creating an Azure Account
- Create Your Free Azure Account
AZ-900: Azure Cloud Computing
- High Availability & Scalability in Azure
- Demo: Azure Service-Level Agreements (SLA)
- Demo: High Availability in Azure
- Reliability and Predictability in Azure
- Security and Governance in Azure
- Manageability in Azure
AZ-900: Benefits of Azure Cloud Services
- High Availability & Scalability in Azure
- Demo: Azure Service-Level Agreements (SLA)
- Demo: High Availability in Azure
- Reliability and Predictability in Azure
- Security and Governance in Azure
- Manageability in Azure
AZ-900: Azure Cloud Service Types
- Infrastructure as a Service (IaaS)
- Platform as a Service (PaaS)
- Demo: Azure App Service
- Software as a Service (SaaS)
- Demo: Azure DevOps
AZ-900: Core Architectural Components of Azure
- Overview of Architectural Components
- Azure Regions and Region Pairs
- Demo: Azure Region and Region Pairs
- Availability Zones
- Demo: Availability Zones
- Azure Sovereign Regions
- Azure Geography
- Resources and Resource Groups
- Subscriptions
- Management Groups
AZ-900: Azure Compute and Networking Services
- Azure Virtual Machines
- Demo: Azure Virtual Machines
- Azure Virtual Desktop
- Azure Containers
- Azure Functions
- Demo: Azure Functions
- Azure App Service
- Azure Virtual Networks
AZ-900: Azure Storage Services
- Azure Storage Accounts
- Azure Storage Redundancy Options
- Exam Tips: Azure Storage Redundancy Options
- Azure Storage Services
- Azure Blob Storage Tiers
- Azure Migration
- Explore: Azure Migrate Business Case
AZ-900: Azure Identity, Access and Security
- Azure Directory Services
- Azure Authentication Methods
- Azure External Identities
- Azure Conditional Access
- Azure Role-Based Access Control
- Défense-in-depth and Zero Trust Models
- Microsoft Defender for Cloud
AZ-900: Cost Management in Azure
- Cost Management in Azure
- Pricing Calculator
- Demo: Pricing Calculator
- Total Cost of Ownership (TCO) Calculator
- Demo: Total Cost of Ownership (TCO) Calculator
AZ-900: Azure Governance & Compliance
- Azure Blueprints
- Azure Policy
- Demo: Azure Blueprints and Policy
- Resource Locks
- Service Trust Portal
AZ-900: Azure Resources Features & Deployment
- Communication Tools for Azure
- Demo: Communication Tools for Azure
- Azure Arc
- Azure Resource Manager (ARM) & ARM Templates
AZ-900: Monitoring Tools in Azure
- Azure Advisor
- Azure Service Health
- Azure Monitor
- Demo: Monitoring Tools in Azure
Microsoft AI Fundamentals (AI-900)
Getting started with AI-900
- Overview of the AI-900 Exam
- AI-900 Exam - Skills Measured
- Helpful Resources for Exam Preparation
- Overview of Artificial Intelligence (AI)
AI-900 - Artificial Intelligence Workloads and Considerations
- Exam Tips: Features of Common AI Workloads
- Features of Common AI Workloads
- Demo: Azure AI and ML Services
- Guiding Principles for Responsible AI
- Demo: Guiding Principles for Responsible AI
- Exam Tips: Guiding Principles for Responsible AI
- Overview of Azure AI Services
- Exam Tips: Azure AI Services
AI-900 – Machine Learning on Azure
- Core Machine Learning Concepts
- Common Machine Learning Techniques
- Common Machine Learning Techniques
- Azure Machine Learning Capabilities
- Demo: Azure Machine Learning Workspace
- Demo: Common Machine Learning Techniques
- Demo: Prediction using Automated ML and Regression
- Exam Tips: Azure Machine Learning Capabilities
AI-900: Computer Vision Workloads on Azure
- Common Types of Computer Vision Solutions
- Exam Tips: Computer Vision Solutions
- Azure Tools and Services for Computer Vision Tasks
- Demo: Vision Studio
- Exam Tips: Azure Tools and Services for Computer Vision Tasks
AI-900: Natural Language Processing (NLP) Workloads on Azure
- Features of Common NLP Workload Scenarios
- Azure Tools and Services for NLP Workloads
- Demo: Language Studio
- Demo: Speech Studio
- Exam Tips: Azure AI Language Service
AI-900: Scenario-Specific AI Workloads on Azure
- Azure AI Document Intelligence
- Demo: Azure AI Document Intelligence
- Exam Tips: Azure AI Document Intelligence
- Azure AI Search
- Demo: Azure AI Search
AI-900: Generative AI Workloads on Azure
- Features of Generative AI Solutions
- Demo: Copilot and Prompt Engineering
- Capabilities of Azure OpenAI Service
- Demo: ChatGPT
- Demo: Azure AI Studio
Microsoft Azure Data Fundamentals (DP-900)
ADF Overview
- Azure Data Factory (ADF) Overview
- Azure Storage Solutions Overview
Azure Data Fundamentals – DP -900
- Introduction
Azure Data Fundamentals – Exploring Data Formats & Data stores – DP -900
- Data Formats & Data Stores – 10,000 Feet Overview
- Exploring Structured Data – Relational Databases
- Exploring OLAP Relational Databases
- Databases in Azure Scenarios
DP – 900 - Azure Data Fundamentals – Exploring Azure Storage
- Getting started with Azure Storage
- Managed and Unmanaged Block Storage in Azure
- Getting started with Azure File Storage – Azure Files
- Understanding Azure BLOB Storage and Tiers
Environment Setup
- Creating Azure Data Factory
- Creating Azure Storage Account
- Creating Azure Data Lake Storage Gen2
- Creating Azure SQL Database
- Installing Azure Studio
Data Ingestion from Azure BLOB
- Data Ingestion from Azure BLOB Module Overview
- Copy Activity Overview
- Naming Standards
- Linked Services & Data Sets
- Control Flow Activities - Validation Activity , Control Flow Activities - Get Metadata, If Condition, Web Activities
- Control Flow Activities - Delete Activity
- ADF Triggers Overview
- Creating Event Trigger
Data Ingestion From HTTP
- Data Ingestion from HTTP Module Overview
- ECDC Data Overview
- Create Pipeline
- Pipelines Variables
- Pipeline Parameters & Schedule Trigger
- Control Flow Activities
- Linked Service Parameters
- Metadata Driven Pipeline
Data Flows - Hospital Admissions Data Transformation
- Data Flows Module Overview
- Transformation Requirement
- Source Transformation (Assignment)
- Select Transformation (Assignment)
- Lookup Country (Assignment)
- Conditional Split Transformation
- Source Transformation – Dim Date
- Derived Column Transformation
- Aggregate Transformation
- Join Transformation
- Pivot Transformation (Assignment)
- Sort Transformation
- Sink Transformation (Assignment)
- Create ADF Pipeline (Assignment)
Prepare Data for HDInsight & DataBricks
- -----------------HDInsight Activity-----------------------
- HDInsight Activity - Module Overview
- Create HDInsight Cluster
- Tour of HDInsight UI
- Transformation Requirement
- Hive Script Walkthrough
- Create ADF Pipeline with Hive Acitivity
- Delete HDInsight Cluster
- ---------------Databricks Acitivity--------------
- Data Bricks Activity - Module Overview
- Create Azure Databricks Service
- Create Azure Databricks Cluster
- Mounting Azure Data Lake Storage
- Transformation Requirements
- Create ADF Pipeline Databricks Notebook Activity
Copy Data to Azure SQL
- Copy Data to Azure SQL - Module Overview
- Copy Data Activity - Cases & Deaths Data
- Copy Data Activity - Hospital Admissions
- Copy Data Activity - Testing Data
Making Pipelines Production Ready
- Making Pipelines Production Ready - Module Overview
- Option 1 - Pipeline Dependency
- Option 2 - Trigger Dependency
Monitoring
- Monitoring - Module Overview
- Azure Data Factory Monitor
- Creating Alerts
- Monitor Pipeline Failures
- Re-run Failed Pipelines
- Reporting on Metrics
- Introduction to Azure Monitor
- Azure Data Factory Analytics
Continuous Integration/Continuous Delivery (CI/CD)
- Continuous Integration/Continuous Delivery (CI/CD) - Module Overview
- Introduction to Continuous Integration/Continuous Delivery (CI/CD)
- Introduction to CI/CD for Azure Data Factory
- Overview of Azure DevOps
- Azure DevOps Environment Setup
- Azure Data Factory Environment Setup
- Azure Data Factory Git Configuration
- Azure Data Factory Code Development using Git
- Release Pipeline Design
- Creating ARM Deployment Tasks
- Pipeline Variables
- Add Production Stage
- YAML Build Pipeline Script Walkthrough
- Update Release Pipeline
CI/CD Scenario - Data Lake Access
- Access to Data Lake Storage Overview
- Data Lake Storage Set-up
- Using Managed Identity - Grant access to Data Lake
- Using Managed Identity - Create Data Factory Pipelines
- Using Managed Identity - Release Pipelines changes
- Using Access Keys - Solution Options Overview
- Using Access Keys - Key Vault Set-up
- Using Access Keys - Create Data Factory Pipeline
- Using Access Keys - Release Pipeline Changes
Deployment a microservices app through a CI/CD pipeline with Jenkins K8s & Terraform artifacts.
Project Description : Applications contain 20+ microservices that will be packaged into containers & pushed it to Container Registry (AKS & Azure Container Registry) automatically through the CI/CD pipeline integrates with Terraform scripts that will snip the infrastructure at runtime & also helped the apps to be deployed into higher environments (UAT, Stage & above).
Also Terraform manages the end-to-end Infrastructure deployment life cycle using Terraform workflow and IaC templates.
Automated Ingestion Framework Pipeline (Data MESH on Azure)
The whole Data MESH pipeline will be automated through Jenkins & Terraform where in it deploys the Azure components like Azure BLOB Storage, Functions, Logic Apps into Azure before triggering the data flow through the pipeline. Data will be extracted from the source like contact centers & others & this whole pipeline is realtime pipeline that triggers whenever data arrives from the source into Kafka using Kafka source and sink connecters that triggers the deployment process.
Hours of content
Live Sessions
Software Tools
After completion of this training program you will be able to launch your carrer in the world of AI being certified as Microsoft Certified Azure Fundamentals – Exam AZ-900, Microsoft Certified Azure AI Fundamentals – Exam AI -900 & Microsoft Certified Azure Data Fundamentals – Exam DP -900 course.
With the Microsoft Certified Azure Fundamentals – Exam AZ-900, Microsoft Certified Azure AI Fundamentals – Exam AI -900 & Microsoft Certified Azure Data Fundamentals – Exam DP -900 course in-hand you can boost your profile on Linked, Meta, Twitter & other platform to boost your visibility
- Get your certificate upon successful completion of the course.
- Certificates for each course
- Azure BLOB Storage
- AWS Polly
- Azure Databricks
- Azure SQL Server
- Azure Functions
- Azure App Services
- Azure Logic Apps
- Azure Document DB
- Azure Fabric
- Azure Kubernetes Service (AKS)
- Azure Container Registry (ACR)
- API Management
- Azure Search
- Azure Moniter

45% - 100%

Designed to provide guidance on current interview practices, personality development, soft skills enhancement, and HR-related questions

Receive expert assistance from our placement team to craft your resume and optimize your Job Profile. Learn effective strategies to capture the attention of HR professionals and maximize your chances of getting shortlisted.

Engage in mock interview sessions led by our industry experts to receive continuous, detailed feedback along with a customized improvement plan. Our dedicated support will help refine your skills until your desired job in the industry.

Join interactive sessions with industry professionals to understand the key skills companies seek. Practice solving interview question worksheets designed to improve your readiness and boost your chances of success in interviews

Build meaningful relationships with key decision-makers and open doors to exciting job prospects in Product and Service based partner

Your path to job placement starts immediately after you finish the course with guaranteed interview calls
Why should you choose to pursue a Microsoft Certified Azure Fundamentals – Exam AZ-900, Microsoft Certified Azure AI Fundamentals – Exam AI -900 & Microsoft Certified Azure Data Fundamentals – Exam DP -900 Course with Success Aimers?
Success Aimers teaching strategy follow a methodology where in we believe in realtime job scenarios that covers industry use-cases & this will help in building the carrer in the field of Azure & also delivers training with help of leading industry experts that helps students to confidently answers questions confidently & excel projects as well while working in a real-world
What is the time frame to become competent as a Azure Engineer?
To become a successful AWS Engineer required 1-2 years of consistent learning with dedicated 3-4 hours on daily basis.
But with Success Aimers with the help of leading industry experts & specialized trainers you able to achieve that degree of mastery in 6 months or one year or so and it’s because our curriculum & labs we had formed with hands-on projects.
Will skipping a session prevent me from completing the course?
Missing a live session doesn’t impact your training because we have the live recorded session that’s students can refer later.
What industries lead in Azure implementation?
Manufacturing
Financial Services
Healthcare
E-commerce
Telecommunications
BFSI (Banking, Finance & Insurance)
“Travel Industry
Does Success Aimers offer corporate training solutions?
At Success Aimers, we have tied up with 500 + Corporate Partners to support their talent development through online training. Our corporate training programme delivers training based on industry use-cases & focused on ever-evolving tech space.
How is the Success Aimers Microsoft Certified Azure Fundamentals – Exam AZ-900, Microsoft Certified Azure AI Fundamentals – Exam AI -900 & Microsoft Certified Azure Data Fundamentals – Exam DP -900 Course reviewed by learners?
Our Azure Cloud Engineer Course features a well-designed curriculum frameworks focused on delivering training based on industry needs & aligned on ever-changing evolving needs of today’s workforce due to Cloud Computing (AWS)
Also our training curriculum has been reviewed by alumi & praises the thorough content & real along practical use-cases that we covered during the training. Our program helps working professionals to upgrade their skills & help them grow further in their roles…
Can I attend a demo session before I enroll?
Yes, we offer one-to-one discussion before the training and also schedule one demo session to have a gist of trainer teaching style & also the students have questions around training
programme placements & job growth after training completion.
What batch size do you consider for the course?
On an average we keep 5-10 students in a batch to have a interactive session & this way trainer can focus on each individual instead of having a large group
Do you offer learning content as part of the program?
Students are provided with training content wherein the trainer share the Code Snippets, PPT Materials along with recordings of all the batches
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