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.
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 lead into guided practice, review and a workplace application.
How every module runs
Understand
Learn the decision model, vocabulary and expected standard.
Observe
Watch the trainer apply the method to a realistic example.
Practise
Complete a bounded task, lab, role play or working exercise.
Review
Use evidence and feedback to improve the output and define the next application.
Exercises use representative, non-sensitive examples. Outputs are produced during the workshop for practice and review; anything participants keep is their own working material.
Learn in bounded environments before touching production
Cloud labs are designed around reversible practice, least privilege and visible cost controls. Production access is never required for a standard exercise.
Vendor documentation is the source of truth for current service behaviour and certification scope. Client security, architecture and change controls still apply.
Use a training boundary
Practise in an approved sandbox or training account with no production data, workloads or credentials.
Apply least privilege
Grant only the access needed for the lab, avoid long-lived credentials and remove temporary resources when practice ends.
Watch spend and quotas
Set budgets or alerts where available, understand billable resources and verify that the clean-up step completed.
Verify before deployment
Review region, identity, networking, resilience, logging and organisational policy before adapting a lab pattern to production.
How the course is tailored and delivered
Private delivery is shaped around the organisation’s roles, starting level, systems, policies and situations participants must handle after training.
From first conversation to evaluation
Clarify the job outcome
Agree what participants should be able to explain, perform or produce after the programme.
Check the starting point
Review experience, tools, terminology and access so the course does not begin at the wrong level.
Select realistic practice
Choose useful scenarios and datasets without exposing confidential or restricted information.
Define completion evidence
Confirm the practical output, feedback method and follow-up expected from participants.
Delivery formats
Private corporate cohort
Best for: One organisation aligning participants around a shared platform or capability
Delivered live online or onsite. Scope, exercises, prerequisites, participant count and support are confirmed in the proposal.
Modular programme
Best for: Teams that need learning spaced around work and application
The core curriculum can be divided into shorter sessions with practice between modules. The agreed schedule and handover are documented before delivery.
Delivery modes
Live online
Facilitated sessions with demonstrations, breakout practice, review and shared working artefacts.
Onsite
Private delivery at the client location, with prerequisites and room or lab requirements agreed before the programme.
Practice, feedback and working sessions—not a slide marathon
Technovids training sessions in different group settings. The photographs do not attribute a particular client, course or outcome.
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
Technovids assigns a trainer whose subject depth and facilitation experience fit the audience and 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 a specific delivery is confirmed with the schedule or written proposal.
Updated
Organisations we have trained, and participant perspectives
Permissioned feedback and published client relationships provide context on delivery. They do not guarantee a certification, promotion, pipeline or business result.
Organisations we have delivered training for
Practical training programmes delivered for learners, professionals and teams across AI, data, cloud, productivity and professional skills.
Participant experiences across workplace roles
What professionals found useful, practical and relevant to 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 published course. The written proposal records any agreed customisation, delivery details and commercials.
Can Microsoft Azure for Enterprise Teams be customised for our organisation?
Yes. Private programmes can reflect participant roles, starting level, approved systems, industry context and agreed workplace situations. The final agenda and outputs are documented in the proposal.
Can this be delivered onsite or live online?
Yes. Both modes are available for private cohorts. Dates, location, session pattern, participant count and technical or room prerequisites are confirmed in writing.
Is a Technovids completion certificate included?
Yes, for participants who meet the stated completion requirements. Each Technovids certificate has a unique ID that can be verified 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.