Who should attend
Data analysts, ETL developers, QA professionals and IT professionals preparing to work with cloud data services.
Prerequisites
Basic IT and networking concepts are helpful. No cloud administration experience is required.
Learning outcomes
- Explain cloud service and deployment models.
- Understand core compute, storage, networking and identity concepts.
- Describe data-lake, warehouse and integration architectures.
- Apply basic security, cost and governance principles.
- Navigate one selected cloud provider at an introductory level.
- Design a simple secure cloud data workflow.
Detailed curriculum
8 modules01Cloud computing foundations
- Cloud characteristics and shared responsibility model
- Public, private, hybrid and multi-cloud concepts
- IaaS, PaaS, SaaS and serverless
- Regions, availability zones and resilience concepts
- Cloud adoption and common enterprise use cases
02Networking and identity basics
- Virtual networks/VPCs, subnets and routing
- DNS, IP addressing, gateways and private connectivity
- Firewalls, security groups and network access control
- Identity, users, groups, roles and least privilege
- MFA, secrets and service identities
03Compute and application services
- Virtual machines and containers overview
- Managed application and serverless compute concepts
- Scaling, load balancing and availability
- Storage and compute separation
- Choosing managed versus self-managed services
04Cloud storage and data foundations
- Object, block and file storage
- Data lake zones and lifecycle policies
- Structured, semi-structured and unstructured data
- Storage tiers, encryption and access policies
- Backup, replication and disaster recovery basics
05Cloud data platforms and integration
- Managed relational and NoSQL database concepts
- Data warehouse and lakehouse overview
- Batch ingestion, event streaming and orchestration
- ETL/ELT services and managed pipeline patterns
- Connecting cloud storage, compute and analytics
06Security, governance and compliance
- Shared responsibility by service model
- Encryption in transit and at rest
- Key management, secrets and access reviews
- Data classification, masking and retention
- Audit logs, monitoring and governance frameworks overview
07Operations, reliability and cost
- Monitoring, logs, alerts and service health
- Availability, recovery objectives and backup strategy
- Resource tagging and cost allocation
- Budgets, alerts, rightsizing and storage lifecycle
- Basic incident response and operational runbooks
08Hands-on cloud architecture project
- Choose one provider for labs: Azure, AWS or Google Cloud
- Create a least-privilege identity and storage resource in a sandbox
- Ingest a sample dataset into cloud storage
- Describe a secure processing and analytics path
- Estimate costs and document architecture assumptions
How you will practise
Learn through instructor-led sessions using realistic, live applications. Then apply each concept through guided assignments on a separate hands-on practice application, with feedback to help you build practical skills and confidence.
Practical exercises and labs
- Create a cloud storage container/bucket in a training sandbox.
- Set access permissions and demonstrate least-privilege access.
- Sketch a data lake ingestion and analytics architecture.
- Prepare a basic monthly cost estimate using the provider calculator.
Capstone project
Design and, where sandbox access permits, implement a small cloud data landing zone with storage, controlled access, sample ingestion, monitoring and cost/security notes.
Tools and technologies
Cloud provider must be selected for hands-on delivery (Azure, AWS or Google Cloud). Provider-specific portal, services and pricing are not interchangeable.
Assessment approach
- Module-wise knowledge checks or short practical tasks.
- Hands-on exercise review using an agreed checklist or rubric.
- Final project demonstration and explanation of design decisions, test evidence or outputs, as applicable.
- Completion criteria, attendance requirements and any certificate conditions must be separately approved and published by TrainingRite.
Schedule and fees
Upcoming batch schedules are shared by our TrainingRite team. Please submit an enquiry and our team will contact you by email or phone with the latest schedule. TrainingRite does not publish course fees or discounts on the website. Our counselling team will share the applicable course fee and other details with you by email or phone after you submit an enquiry.
Frequently asked questions
Who should join this course?
Data analysts, ETL developers, QA professionals and IT professionals preparing to work with cloud data services.
Do I need prior experience?
Basic IT and networking concepts are helpful. No cloud administration experience is required.
Is the training online?
TrainingRite programmes are delivered online.
Will I get hands-on practice?
Sessions are instructor-led and use realistic applications. You then apply each concept through guided assignments on a separate practice application.
How can I enquire about fees and the next batch?
Fees and batch schedules are not published on the website. Submit the enquiry form on this page and our counselling team will share them with you by email or phone.