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Course Details
Course Details
What You'll Learn
LU1 Microsoft Azure Architect Design Prerequisites
Topic 1 Describe the core architectural components of Azure
- What is Microsoft Azure
- Get started with Azure accounts
- Exercise - Explore the Learn sandbox
- Describe Azure physical infrastructure
- Describe Azure management infrastructure
- Exercise - Create an Azure resource
Topic 2 Describe Azure compute and networking services
- Describe Azure virtual machines
- Exercise - Create an Azure virtual machine
- Describe Azure virtual desktop
- Describe Azure containers
- Describe Azure functions
- Describe application hosting options
- Describe Azure virtual networking
- Exercise - Configure network access
- Describe Azure virtual private networks
- Describe Azure ExpressRoute
- Describe Azure DNS
Topic 3 Describe Azure storage services
- Describe Azure storage accounts
- Describe Azure storage redundancy
- Describe Azure storage services
- Exercise - Create a storage blob
- Identify Azure data migration options
- Identify Azure file movement options
Topic 4 Describe Azure identity, access, and security
- Describe Azure directory services
- Describe Azure authentication methods
- Describe Azure external identities
- Describe Azure conditional access
- Describe Azure role-based access control
- Describe zero trust model
- Describe defense-in-depth
- Describe Microsoft Defender for Cloud
Topic 5 Microsoft Cloud Adoption Framework for Azure
- Overview
- Define strategy
- Plan
- Ready
- Adopt
- Govern and manage
Topic 6 Introduction to the Microsoft Azure Well-Architected Framework
- Azure Well-Architected Framework pillars
- Cost optimization
- Operational excellence
- Performance efficiency
- Reliability
- Security
LU2 Design identity, governance, and monitor solutions
Topic 7 Design governance
- Design for governance
- Design for management groups
- Design for subscriptions
- Design for resource groups
- Design for resource tags
- Design for Azure Policy
- Design for role-based access control (RBAC)
- Design for Azure landing zones
Topic 8 Design authentication and authorization solutions
- Design for identity and access management (IAM)
- Design for Microsoft Entra ID
- Design for Microsoft Entra business-to-business (B2B)
- Design for Azure Active Directory B2C (business-to-customer)
- Design for conditional access
- Design for identity protection
- Design for access reviews
- Design service principals for applications
- Design managed identities
- Design for Azure Key Vault
Topic 9 Design a solution to log and monitor Azure resources
- Design for Azure Monitor data sources
- Design for Azure Monitor Logs (Log Analytics) workspaces
- Design for Azure Workbooks and Azure insights
- Design for Azure Data Explorer
LU3 Design business continuity solutions
Topic 10 Describe high availability and disaster recovery strategies
- Describe recovery time objective and recovery point objective
- Explore high availability and disaster recovery options
- Describe Azure high availability and disaster recovery features for Azure Virtual Machines
- Describe high availability and disaster recovery options for PaaS deployments
- Explore an IaaS high availability and disaster recovery solution
- Describe hybrid solutions
Topic 11 Design a solution for backup and disaster recovery
- Design for backup and recovery
- Design for Azure Backup
- Design for Azure blob backup and recovery
- Design for Azure files backup and recovery
- Design for Azure virtual machine backup and recovery
- Design for Azure SQL backup and recovery
- Design for Azure Site Recovery
LU4 Design data storage solutions
Topic 12 Design a data storage solution for non-relational data
- Design for data storage
- Design for Azure storage accounts
- Design for data redundancy
- Design for Azure Blob Storage
- Design for Azure Files
- Design for Azure managed disks
- Design for storage security
Topic 13 Design a data storage solution for relational data
- Design for Azure SQL Database
- Design for Azure SQL Managed Instance
- Design for SQL Server on Azure Virtual Machines
- Recommend a solution for database scalability
- Recommend a solution for database availability
- Design security for data at rest, data in motion, and data in use
- Design for Azure SQL Edge
- Design for Azure Cosmos DB and Table Storage
Topic 14 Design data integration
- Design a data integration solution with Azure Data Factory
- Design a data integration solution with Azure Data Lake
- Design a data integration and analytic solution with Azure Databricks
- Design a data integration and analytic solution with Azure Synapse Analytics
- Design strategies for hot, warm, and cold data paths
- Design an Azure Stream Analytics solution for data analysis
LU5 Design infrastructure solutions
Topic 15 Design an Azure compute solution
- Choose an Azure compute service
- Design for Azure Virtual Machines solutions
- Design for Azure Batch solutions
- Design for Azure App Service solutions
- Design for Azure Container Instances solutions
- Design for Azure Kubernetes Service solutions
- Design for Azure Functions solutions
- Design for Azure Logic Apps solutions
Topic 16 Design an application architecture
- Describe message and event scenarios
- Design a messaging solution
- Design an Azure Event Hubs messaging solution
- Design an event-driven solution
- Design a caching solution
- Design API integration
- Design an automated app deployment solution
- Design an app configuration management solution
Topic 17 Design network solutions
- Recommend a network architecture solution based on workload requirements
- Design patterns for Azure network connectivity services
- Design outbound connectivity and routing
- Design for on-premises connectivity to Azure Virtual Network
- Choose an application delivery service
- Design for application delivery services
- Design for application protection services
Topic 18 Design migrations
- Evaluate migration with the Cloud Adoption Framework
- Describe the Azure migration framework
- Assess your on-premises workloads
- Select a migration tool
- Migrate your structured data in databases
- Select an online storage migration tool for unstructured data
- Migrate offline data
LU6 Build great solutions with the Microsoft Azure Well-Architected Framework
Topic 19 Introduction to the Microsoft Azure Well-Architected Framework
- Azure Well-Architected Framework pillars
- Cost optimization
- Operational excellence
- Performance efficiency
- Reliability
- Security
Topic 20 Microsoft Azure Well-Architected Framework - Cost optimization
- Plan and estimate your Azure costs
- Provision with optimization
- Use monitoring and analytics to gain cost insights
- Maximize efficiency of cloud spend
Topic 21 Microsoft Azure Well-Architected Framework - Operational excellence
- Design, build, and orchestrate with modern practices
- Use monitoring and analytics to gain operational insights
- Use automation to reduce effort and error
- Testing strategies for your application
Topic 22 Microsoft Azure Well-Architected Framework - Performance efficiency
- Use scaling up and scaling out in your architecture
- Optimize network performance
- Optimize storage performance
- Identify performance bottlenecks in your application
Topic 23 Microsoft Azure Well-Architected Framework - Reliability
- High availability
- Disaster recovery
- Processes for backup and restore
Topic 24 Microsoft Azure Well-Architected Framework - Security
- Defense in depth
- Identity management
- Infrastructure protection
- Encryption
- Network security
- Application security
LU7 Accelerate cloud adoption with the Microsoft Cloud Adoption Framework for Azure
Topic 25 Getting started with the Microsoft Cloud Adoption Framework for Azure
- Customer narrative
- Common blockers
Topic 26 Prepare for successful cloud adoption with a well-defined strategy
- Customer narrative
- Capture strategic motivation
- Define objectives and key results
- Evaluate financial considerations
- Understand technical considerations
- Create a business case
Topic 27 Prepare for cloud adoption with a data-driven plan
- Customer narrative
- Exercise - Deploy your first cloud adoption plan
- Exercise - Assess your digital estate
- Exercise - Customize your cloud adoption plan
Topi 28 Choose the best Azure landing zone to support your requirements for cloud operations
- Customer narrative
- Common operating models
- Design areas for Azure landing zones
- Design principles for Azure landing zones
- Journey to the target architecture
- Choose an Azure landing zone option
- Deploy the Azure landing zone accelerator
- Enhance your landing zone
Topic 29 Migrate to Azure through repeatable processes and common tools
- Customer narrative
- Migration process
- Migration tools
- Common tech platforms
- Exercise - Server migration
Topic 30 Address tangible risks with the Govern methodology of the Cloud Adoption Framework for Azure
- Customer narrative
- Govern methodology
- Corporate policies
- Governance disciplines
- Knowledge check
- Deploy a cloud governance foundation
- The Cost Management discipline
Topic 31 Ensure stable operations and optimization across all supported workloads deployed to the cloud
- Establish business commitments
- Deploy an operations baseline
- Protect and recover
- Enhance an operations baseline
- Manage platform and workload specialization
Topic 32 Innovate applications by using Azure cloud technologies
- Follow the innovation lifecycle
- Azure technologies for the build process
- Infuse your applications with AI
- Azure technologies for measuring business impact
- Azure technologies for the learn process
Topic 33 Prepare for cloud security by using the Microsoft Cloud Adoption Framework for Azure
- Customer narrative
- Methodology
- Security roles and responsibilities
- Simplify compliance and security
- Simplify security implementation
- Security tools and policies
Practice Exam
Course Info
Promotion Code
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Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Target Age Group: 18-65 years old
Minimum Software/Hardware Requirement
Software:
TBD
Hardware: Window or Mac Laptops
Job Roles
Job Roles
- Solutions Architect
- Cloud Architect
- Azure Developer
- DevOps Engineer
- IT Manager
- Systems Engineer
- Infrastructure Architect
- Network Architect
- Data Engineer
- Security Engineer
- Cloud Consultant
- Technical Architect
- Cloud Solutions Designer
- Software Engineer
- Applications Architect
Trainers
Trainers
Sanjiv i is an ACTA certified experienced leader with a proven track record in business / finance consulting and in developing i) business intelligence (BI) solutions ii) data analytics/analysis solutions and iii) IOT lead BI solutions. Sanjiv's goal through Prudentia Consulting, is to promote the simple joy and excitement of actively using the Microsoft Platform. He believes that the agility afforded by the Microsoft platform helps businesses get time back for deeper business thinking and to spend more time with their end customers
Sanjiv has rich experiences in diverse/complex high-tech businesses, turn around environments and strategic transformations. His functional expertise is in sales analytics, financial planning and analysis, engineering and program management. He has worked across discrete manufacturing, professional services and higher education verticals. He also has a working knowledge of equities portfolio management within the financial services domain.Sanjiv is the CEO of Prudentia Consulting, an organization committed to promoting the active usage of the Microsoft Platform. Prior to this, he has worked at Microsoft (US & APAC: 9.2 years), Cognizant Tech Solutions (3.3 years), Yazaki North America (8 years) and until recently at Oracle. Here are a few of his BI/analytics projects driven at scale: Built APAC wide BI dashboard using the Power BI umbrella tool set (Power BI online, Power BI desktop and Power Pivot) and a KPI lake (SQL DB), Helped develop key KPIs – identified key KPIs and helped land this in the DB, Developed a budget audit tool that captured budget inputs from a host of countries across the globe, Developed a business unit P&L reporting tool (functional architecture) in Business Objects for the world-wide financial planning and analysis team.
Alec Tan is a ACTA certified trainer, He has a number of Comptia certifications. Since 2002, starting off from IT technical background to pre-sales, sales account manager, system integration, operate IT retail / repair shop business in Sim Lim Square 2008 ~ 2012, and back to IT industry employment, freelance IT Trainer till present.
Kishan Raaj is a seasoned Data Science and SAP Program Manager with over 15 years of experience, currently leading all end-to-end training and projects for Data Science across Asia at LITHAN, Singapore. With expertise in machine learning, data analytics, and cloud technologies, he is well-versed in techniques such as regression, decision trees, clustering, and text mining. He has hands-on experience with tools like Python, R, Tableau, PowerBI, and Microsoft Azure Machine Learning Studio.As an ACTA certified trainer, Kishan has designed and delivered comprehensive courses for SAP and Data Science programs, managing teams and training in multiple countries, including Singapore, Malaysia, China, India, and Vietnam. His background in SAP, particularly in S4/HANA and ABAP, combined with his expertise in machine learning libraries such as TensorFlow and Keras, positions him as a highly capable leader in technical education and project management across various industries.
CY Quah is an ACLP-certified trainer and data science professional with extensive experience in Python, NLP, and machine learning. He has led AI training programs for SAP, Temasek Polytechnic, and IMDA under the SGUnited Mid-Career Pathways initiative, and has delivered corporate workshops on text analytics, recommender systems, and chatbot development. His expertise includes applying NLP tools such as NLTK, spaCy, and Gensim for sentiment analysis, topic modeling, and text classification.
Peter Cheong is an IT and knowledge management professional with strong expertise in networking, cybersecurity, and information systems. He has completed the Cisco Networking Academy Introduction to Packet Tracer course
and has participated in international ICT and knowledge management conferences such as the IFLA Knowledge Management Satellite Meeting. With professional experience in IT systems and infrastructure, Peter brings both technical knowledge and global exposure to his training.
As an adult educator, Peter focuses on building learners’ foundational skills in cybersecurity, network defense, and risk management aligned to CompTIA Security+ objectives. His sessions emphasize real-world security scenarios, equipping participants to recognize vulnerabilities, manage threats, and implement effective security controls. His combination of practical training and industry exposure ensures learners are well-prepared for both the certification exam and workplace application.
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