5-day programme · AZ-900 aligned
Microsoft Azure for Enterprise Teams
Develop a shared Azure foundation, then connect it to enterprise identity, governance, operations and selected hybrid or AI scenarios relevant to the team.
- Duration
- 5 days · 40 hours
- Platform
- Microsoft Azure
- Foundation
- Current AZ-900 skills
- Extension
- Identity, operations and hybrid context
What is the Microsoft Azure for Enterprise Teams course?
Microsoft Azure for Enterprise Teams is a 40-hour programme that combines the current AZ-900 foundation areas—cloud concepts, Azure architecture and services, and management and governance—with guided enterprise extensions. Participants examine identity, networking, cost, monitoring, policy, hybrid management and selected Azure AI concepts according to the agreed scope. AZ-900 is a fundamentals exam; deeper implementation topics are clearly taught as enterprise extensions rather than mislabelled as exam objectives. It runs as Azure training in Bangalore at your own office, onsite elsewhere in India, or live online. It is Microsoft Azure corporate training that also works as AZ-900 training.
Is this the right course for you or your team?
Who it is for
- IT professionals beginning or supporting an Azure adoption
- Managers and project roles who need Azure cost, governance and service literacy
- Microsoft 365 or Windows-centred teams connecting on-premises and cloud decisions
- Employees preparing for Azure Fundamentals AZ-900
Situations it fits
- Teams use Microsoft products but lack a shared Azure model
- Cloud conversations mix foundational and implementation-level expectations
- Managers need cost, governance and risk language before migration decisions
- AZ-900 candidates need structured coverage and practical context
Prerequisites
- Basic IT concepts such as servers, identity and networking are helpful
- No prior Azure administration is required for the foundation modules
- Participants need a laptop and agreed lab access for guided practice
When a different course fits better
Choose the platform that matches the organisation’s environment and role needs.
- AWS Cloud Practitioner Trainingfor AWS foundation and CLF-C02-aligned preparation
- Google Cloud Platform Trainingfor more applied Google Cloud engineering practice
The business problems this course addresses
The programme separates foundation knowledge from deeper enterprise implementation so participants know what they can responsibly act on.
| Task | The usual problem | What participants practise |
|---|---|---|
| Understand Azure architecture | Subscriptions, resource groups, regions and services are discussed as unrelated terms. | Map governance and resource boundaries from tenant and subscription through resource deployment. |
| Select a service | Familiar Microsoft product names replace requirement-based selection. | Compare compute, storage, database and networking choices against availability, control and operations needs. |
| Govern the environment | Cost, identity, policy, monitoring and security arrive after resources are already deployed. | Treat management and governance as design requirements and practise identifying the responsible control. |
| Prepare for AZ-900 | Learners expect a fundamentals exam to validate administrator-level implementation. | Review current exam scope accurately and label hands-on enterprise extensions separately. |
What participants will be able to do
Practise the skills below through course exercises, then check the results and explain how you would apply them to your work.
Explain Azure cloud concepts
Describe service models, consumption, shared responsibility and cloud benefits in a business scenario.
Navigate Azure architecture
Relate regions, subscriptions, resource groups and resources to governance and deployment boundaries.
Compare core services
Choose between common compute, networking, storage and database categories at a foundation level.
Discuss management and governance
Recognise cost, policy, identity, monitoring and service-health capabilities.
Connect enterprise extensions
Explain where hybrid management, security operations, Microsoft 365 or Azure AI may enter a broader architecture.
Plan AZ-900 preparation
Use the current skills outline to identify remaining knowledge and practice needs.
Services and tools used in demonstrations and labs
Foundation topics are always covered; deeper extensions are selected for the organisation’s context.
Azure portal and Cloud Shell
by MicrosoftResource and management practice
- Subscriptions and resource groups
- Resource inspection
- CLI or PowerShell orientation
- What to verify
- Verify the active tenant and subscription before every change, and never use production access for a training lab.
Microsoft Entra ID
by MicrosoftIdentity and access concepts
- Users and groups
- Roles and permissions
- Authentication and conditional-access context
- What to verify
- Enterprise identity configuration requires the client’s security and change controls.
Azure Monitor and Policy
by MicrosoftOperations and governance
- Metrics and logs
- Alerts and service health
- Policy and compliance concepts
- What to verify
- A lab policy or alert is a learning example, not an organisation-wide production standard.
5 days · 40 live hours
Detailed curriculum
5 modules, each pairing short instruction with guided practice. Sequence and examples can be adjusted after the training-needs discussion; the core outcomes stay the same.
Day 18 hours Cloud concepts and Azure architecture
- Cloud service and deployment models
- Regions, availability zones and resource hierarchy
- Subscriptions, resource groups and resources
- Portal, Cloud Shell and resource navigation
Practical activityMap a simple organisation and workload to Azure resource and governance boundaries.
Day 28 hours Compute, networking, storage and data
- VMs, app hosting, containers and serverless concepts
- Virtual networks, connectivity and delivery
- Storage services and access tiers
- Relational and non-relational data choices
Practical activityCompare services for an enterprise scenario and deploy a bounded resource in the lab.
Day 38 hours Identity, security and governance
- Microsoft Entra identity concepts
- Roles, authentication and access
- Defender, security and compliance orientation
- Policy, locks, tags and governance
Practical activityReview a scenario for identity, policy and resource-governance gaps.
Day 48 hours Operations and selected enterprise extensions
- Azure Monitor, Log Analytics and service health
- Cost management and Advisor
- Azure Arc and hybrid-cloud concepts
- Selected Azure AI or Microsoft integration context
Practical activityBuild an operations checklist and investigate a controlled resource signal.
Day 58 hours Architecture review and AZ-900 preparation
- Cross-domain case review
- Current AZ-900 skills outline
- Practice assessment and explanation review
- Individual follow-on plan
Practical activityComplete a diagnostic, explain answer choices and separate foundation gaps from implementation skills.
Need the agenda built around your team’s work?
Share the roles attending and the tasks to improve. The proposal sets out the adapted agenda.
Exercises and practical outputs
Short explanations, then guided practice, review and a task from your own work.
How every module runs
Understand
Learn how to make the decision, the key terms and the standard expected.
Observe
Watch the trainer apply the method to a realistic example.
Practise
Do a short task, lab, role play or working exercise.
Review
Use evidence and feedback to improve your work and decide where to use it next.
Exercises use realistic examples with no sensitive data. What participants make in the workshop is for practice and review, and anything they keep is their own working material.
Practise in a safe space before you touch live systems
Cloud labs can be undone, use only the access they need and keep costs visible. No standard exercise needs access to your live systems.
The cloud vendor’s own documentation is the final word on how services work and what each certification covers. Your own security, design and change rules still apply.
Stay in a training account
Practise in an approved sandbox or training account, with no live data, workloads or passwords.
Give the least access needed
Grant only the access the lab needs, avoid long-lasting keys and delete temporary resources when you finish.
Watch spending and limits
Set budgets or alerts where you can, know what you are billed for and check that clean-up really finished.
Check before going live
Review region, identity, networking, resilience, logging and company policy before using a lab pattern for real.
How the course is tailored and delivered
We shape private training around your roles, starting level, systems, policies and the situations your people must handle afterwards.
From first conversation to evaluation
Agree the job outcome
Agree what your people should be able to explain, do or produce after the programme.
Check the starting point
Look at experience, tools, terms and access, so the course does not start at the wrong level.
Pick realistic practice
Choose useful scenarios and data without exposing anything confidential or restricted.
Agree how completion is shown
Confirm the practical output, how feedback is given and the follow-up expected.
Delivery formats
Private corporate cohort
Best for: One company building the same skills or platform know-how across a team
Live online or at your office. The proposal confirms the scope, exercises, prerequisites, group size and support.
Modular programme
Best for: Teams that need to fit learning around their work
The course can be split into shorter sessions, with practice in between. The schedule and handover are agreed in writing before we start.
Delivery modes
Live online
Trainer-led sessions with demos, group practice, review and shared documents.
Onsite
Private training at your office, with prerequisites and room or lab needs agreed beforehand.
Practice, feedback and working sessions—not a slide marathon
Technovids training sessions with different groups. The photos do not name a client, course or result.
Photo 1 of 10: Hands-on session 
Photo 2 of 10: Group photo 
Photo 3 of 10: Hands-on session 
Photo 4 of 10: Group photo 
Photo 5 of 10: Classroom session 
Photo 6 of 10: Group photo 
Photo 7 of 10: Computer-lab session 
Photo 8 of 10: Group photo 
Photo 9 of 10: Classroom session 
Photo 10 of 10: Group photo
For L&D and procurement teams
The published course parameters on one page. Final scope, dates and fees are confirmed in the written proposal.
Discuss your team’s requirements| Course | Microsoft Azure for Enterprise Teams |
|---|---|
| Duration | 40 live hours across 5 days or an agreed modular schedule |
| Level | Foundation with optional enterprise extensions |
| Audience | IT teams, project roles, managers and AZ-900 candidates |
| Lab access | Azure training subscription or approved sandbox arrangements confirmed in the proposal |
| Certification boundary | AZ-900-aligned foundation; Microsoft exam, fee and outcome are separate |
Who may deliver this programme
We choose a trainer whose subject knowledge and teaching experience suit your group and the agreed scope.
Pankaj Rana
Co-founder & Lead Instructor, Technovids Consulting
Pankaj is a co-founder and the lead instructor at Technovids Consulting. His programme work spans practical AI adoption, AI engineering, evaluation, responsible production AI, data analytics and corporate learning design, with an emphasis on hands-on exercises connected to workplace tasks.
Expertise:
- Practical AI adoption
- Prompting and evaluation
- Responsible AI
- Corporate learning design
Junaid Khateeb
AI & Machine Learning Trainer, Strategist and Consultant
Junaid is an AI and machine-learning trainer, strategist and consultant with more than 22 years of training experience. His work combines enterprise AI education, business-centred adoption, responsible AI practices and applied solution design, helping professional audiences connect AI concepts to real organisational needs.
M.E. in Computer Engineering, specialising in Artificial Intelligence · author of programming books on Python, Java and C++
Expertise:
- Enterprise AI and ML training
- AI strategy and adoption
- Responsible AI
- Applied AI solution design
Pradeep Varadarajan
Technical Trainer & Curriculum Architect
Pradeep is a technical trainer and curriculum architect with more than 20 years of experience across enterprise technology, cloud infrastructure and advanced AI systems. He designs practitioner-focused programmes, labs and assessments covering AI, LLM systems, Python and machine learning, translating complex technical subjects into structured learning experiences.
Bachelor of Engineering in Electrical Engineering · instructor-led, virtual and blended delivery
Expertise:
- AI and LLM systems
- Curriculum architecture
- Python and machine learning
- Hands-on lab design
The trainer for your sessions is confirmed with the dates or in the written proposal.
To book a trainer for your team, call +91 86183 46384 or email [email protected].
Updated
Organisations we have trained, and participant perspectives
Feedback shared with permission, and clients who agreed to be named, show how we deliver. They are not a promise of a certification, promotion, sales or any other result.
Organisations we have delivered training for
Hands-on training for people and teams in AI, data, cloud, productivity and workplace skills.
Participant experiences across workplace roles
What people we trained found useful in their day-to-day work.
- Gauraw DeshmukhData Engineer · Capgemini
Technovids AI training was very practical and well structured. The sessions helped me understand how AI concepts can be applied in real data engineering and business workflows, instead of only learning theory. The trainer explained the topics clearly with relevant examples, which made the learning experience valuable and easy to follow.
- PriyanshaSoftware Developer
The AI training from Technovids helped me gain a better understanding of Generative AI, prompt engineering, and practical AI use cases for software development. The course was clear, interactive, and focused on real-world applications. It gave me confidence to explore AI tools more effectively in my work.
- Sidda RajuData Engineer
Technovids delivered the AI training in a very practical and industry-relevant way. As a data engineer, I found the examples and hands-on discussions useful for understanding how AI can improve data workflows, automation, and decision-making. The sessions were well planned and easy to understand.
- Akshat KabraData Engineer
The AI training program by Technovids was insightful and professionally delivered. It covered important AI concepts in a simple and practical manner, with examples that connected well with data and analytics use cases. The sessions helped me build a stronger foundation in applying AI in real business scenarios.
- MangeshSoftware Engineer · Siemens
Technovids conducted the AI training in a very effective and engaging manner. The sessions were practical, easy to follow, and focused on how AI can be used in real software engineering and business workflows. It was a valuable program for understanding the current direction of AI adoption in the industry.
- ReshuSoftware Developer
Technovids AI training was a very useful learning experience. The course explained AI concepts in a practical way and showed how developers can use AI tools to improve productivity, problem-solving, and application development. The trainer's approach was simple, clear, and focused on industry use cases.
Common questions before planning this course
Answers about the course as published. Your written proposal records any changes we agree, how it is delivered and the price.
Can Microsoft Azure for Enterprise Teams be customised for our organisation?
Yes. Private programmes can reflect your roles, starting level, approved systems, industry and the work situations we agree. The proposal records the final agenda and outputs.
Can this be delivered onsite or live online?
Yes. Private groups can choose either. Dates, location, session plan, group size and any technical or room needs are confirmed in writing.
Is a Technovids completion certificate included?
Yes, for people who meet the completion requirements. Each Technovids certificate has a unique ID you can check on the Technovids website. It is not a cloud-vendor or professional-body certification.
Is all five-day content part of the AZ-900 exam?
No. The current AZ-900 outline focuses on cloud concepts, Azure architecture and services, and Azure management and governance. Selected identity, hybrid, operations and AI topics go deeper as enterprise extensions and are labelled accordingly.
Is this official Microsoft training?
It is a Technovids instructor-led programme that uses the official Microsoft study guide to keep foundation coverage current. It is not represented as Microsoft-authored or as an exam guarantee.
Does the course include Azure or Microsoft Copilot?
Copilot or Azure AI context can be included when relevant to the organisation, but it is not assumed to be part of every delivery or a core AZ-900 objective. Access and scope are confirmed in the proposal.
Which is better for our team: AWS or Azure?
The answer depends on the organisation’s current estate, workloads, identity model, skills and cloud strategy. Azure is often the more direct learning context for Microsoft-centred environments; the discovery call should confirm the actual decision.
Turn a training requirement into a clear course proposal
Share the audience, team size, delivery preference and the work you want to improve. Technovids will scope the programme and confirm the details in a written proposal.
Request received
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