MASTER CLOUD & AI PLATFORM ENGINEERING
Become a Cloud & Platform Engineer
Build practical expertise in Cloud Computing, AWS, Azure, Google Cloud, Linux, DevOps, CI/CD, Docker, Kubernetes, Infrastructure as Code and Platform Engineering.
- 6-8 Months
- 300+ Practical Hours
- Live Online Training
- Industry Practice Labs
What You Will Learn
Cloud Computing & Infrastructure
Build the Foundation for Cloud Engineering
Understand how cloud infrastructure works and how applications use computing, storage and networking resources.
- Cloud computing fundamentals
- AWS, Azure and Google Cloud
- Virtual machines
- Cloud storage
- Virtual networks
- Regions and availability zones
- Compute and networking services
- Cloud architecture
- Identity and Access Management
- High availability
- Scalability
- Cloud security fundamentals
Understand the Complete Picture
Application → Cloud Infrastructure → Networking → Compute → Storage → Production Environment
Learn how cloud resources work together to support modern applications.
Linux, Networking & System Administration
Build the Foundation Required for Cloud and DevOps
Understand how servers operate and how engineers manage, configure and troubleshoot systems.
- Linux commands
- Files and permissions
- Users and groups
- Processes and services
- Shell scripting
- SSH
- DNS
- TCP/IP
- Ports and firewalls
- HTTP/HTTPS
- Network troubleshooting
- System logs
The objective is to understand how Linux and networking concepts are applied while managing cloud infrastructure.
Cloud Infrastructure & Automation
Turn Infrastructure Requirements into Working Environments
Learn how cloud infrastructure is configured and managed for application deployment.
- Compute instances
- Virtual networks and subnets
- Storage and databases
- Load balancers
- IAM and access permissions
- Security groups
- Infrastructure configuration
- Environment management
- Backup and recovery
- Resource monitoring
- Cloud cost management
Understand:
how cloud infrastructure can be configured, secured and maintained for reliable application operation.
Git, CI/CD & DevOps
Connect Development with Automated Delivery
Learn how software changes move from source code into deployable applications.
- Git
- GitHub
- Branching and merging
- Source code management
- Build automation
- Continuous Integration
- Continuous Delivery
- Jenkins
- GitHub Actions
- Pipeline troubleshooting
- Release management
- Deployment verification
Understand:
Code → Git → Build → Test → Package → Deploy → Validate
Docker & Kubernetes
Package, Deploy and Manage Modern Applications
Learn how applications are packaged into containers and operated in cloud-native environments.
- Docker
- Docker images
- Dockerfiles
- Container registries
- Container networking
- Kubernetes architecture
- Pods and Deployments
- Services and Namespaces
- ConfigMaps and Secrets
- Helm
- Scaling and health checks
- Kubernetes troubleshooting
Understand:
how containerised applications can be deployed, scaled and managed through Kubernetes.
Infrastructure as Code & GitOps
Automate Infrastructure and Deployment Workflows
Learn how engineers manage infrastructure and application configurations through code and version control.
- Infrastructure as Code
- Terraform
- Terraform modules
- Variables and state
- Reusable infrastructure configurations
- Environment management
- YAML
- Git-based workflows
- GitOps concepts
- Argo CD
- Configuration drift
- Automated infrastructure provisioning
Understand:
Infrastructure Code → Version Control → Automated Provisioning → Validation → Repeatable Environments
Cloud Operations, Monitoring & Reliability
Find Why Applications and Infrastructure Are Not Behaving as Expected
Develop the skills needed to monitor cloud environments, investigate failures and improve system reliability.
- Application and infrastructure monitoring
- Logs and metrics
- Prometheus
- Grafana
- Alerting
- Resource utilisation
- Deployment failures
- Service availability
- Incident investigation
- Root-cause analysis
- Backup and recovery
- Cloud cost optimisation
Use:
Logs + Metrics + Dashboards + Alerts + System Configuration to identify operational issues.
Platform Engineering & Internal Developer Platforms
Build Reusable Platforms for Software Engineering Teams
Understand how platform engineering connects cloud infrastructure, automation and developer self-service.
- Platform engineering fundamentals
- Internal Developer Platforms (IDPs)
- Developer self-service
- Reusable deployment templates
- Standardised workflows
- Kubernetes-based platforms
- Automated environment provisioning
- Infrastructure automation
- Developer portals
- Platform monitoring
- Security policies and guardrails
- Developer experience
Understand:
how platform teams create reusable capabilities that help developers provision environments and deploy applications consistently.
Hands-On Cloud & Platform Engineering Labs
Configure. Deploy. Orchestrate. Automate. Manage.
Go beyond classroom theory and gain practical, real-world experience in cloud infrastructure setup, container orchestration, CI/CD pipelines, and platform engineering workflows
Cloud Infrastructure Setup
- Understand application infrastructure requirements
- Configure cloud compute and storage resources
- Create networks and access permissions
- Set up application environments
- Verify infrastructure connectivity
Linux & Server Configuration
- Configure Linux servers
- Manage users, permissions and services
- Configure networking and SSH access
- Write scripts for repetitive tasks
- Investigate system and connectivity issues
Git & CI/CD Automation
- Manage source code using Git
- Configure automated build pipelines
- Integrate application testing into CI/CD
- Package application artefacts
- Validate deployment and troubleshoot pipeline failures
Docker & Application Containerisation
- Prepare an application for containerisation
- Write Dockerfiles and build images
- Configure application dependencies
- Publish images to a container registry
- Run and validate containerised applications
Kubernetes Application Deployment
- Deploy applications to Kubernetes
- Configure Pods, Deployments and Services
- Manage application configuration and secrets
- Validate health checks and application access
- Troubleshoot deployment and container issues
Infrastructure as Code & GitOps
- Define infrastructure using Terraform
- Create reusable infrastructure configurations
- Manage configuration through Git
- Automate infrastructure and application changes
- Validate deployments and configuration consistency
Monitoring & Production Troubleshooting
- Monitor application and infrastructure health
- Analyse logs, metrics and alerts
- Investigate failed deployments
- Identify resource and connectivity problems
- Document corrective actions and recovery steps
Platform Engineering Implementation
- Identify repetitive developer infrastructure tasks
- Create reusable environment and deployment templates
- Connect templates with automated workflows
- Enable standardised application deployment
- Demonstrate a self-service developer workflow
Cloud Infrastructure to Internal Developer Platforms
BUILD PRACTICAL CLOUD & PLATFORM ENGINEERING SKILLS
You will learn how to connect the key engineering activities involved in modern cloud-native environments:
Cloud Infrastructure
Configure cloud resources, networking, storage and access controls.
Linux & Networking
Manage servers and troubleshoot system connectivity.
DevOps & CI/CD
Automate source code integration, builds and deployments.
Containerisation
Package applications using Docker.
Kubernetes
Deploy and operate containerised applications.
Infrastructure Automation
Provision repeatable environments using Terraform and Git-based workflows.
Cloud Operations
Monitor applications, investigate failures and improve reliability.
Platform Engineering
Create reusable workflows and self-service capabilities for developers.
Cloud & AI Platform Engineering
What the Job Market Is Telling Us
Companies are investing in cloud infrastructure, Kubernetes, automation and internal platforms to build, deploy and operate modern applications at scale.
Tools & Technologies
Cloud Platforms
AWS | Microsoft Azure | Google Cloud Platform
Programming & Operating Systems
Linux | Bash | Shell Scripting | Networking
DevOps & CI/CD
Git | GitHub | Jenkins | GitHub Actions | CI/CD
Containers & Orchestration
Docker | Kubernetes | Helm
Infrastructure Automation
Terraform | YAML | Infrastructure as Code | GitOps | Argo CD
Monitoring & Platform Engineering
Prometheus | Grafana | Logging | Metrics | Internal Developer Platforms | Self-Service Workflows
Who is this Program For?
Beginners & Fresh Graduates
Build a practical foundation for a career in cloud, DevOps and platform engineering.
IT & System Administrators
Expand your skills in cloud infrastructure, automation and container technologies.
Software Developers
Learn how applications are packaged, deployed and operated in cloud environments.
DevOps & Cloud Engineers
Strengthen your Kubernetes, Infrastructure as Code and platform engineering skills.
Your Outcome
Become Capable of Working Across the Cloud-Native Engineering Lifecycle
By the end of the program, you will have practical exposure to:
The program is built around practical engineering workflows rather than isolated tool demonstrations.
Why Primebit Solution?
17 Years of Training Experience
Learn with an established training company with 17 years of experience in technical education.
In-Depth Technical Training
Build a strong understanding of concepts, tools and implementation through detailed, step-by-step teaching.
100% Practical Lab-Based Learning
Apply your knowledge through hands-on labs, real-world workflows and practical implementation exercises.
Career & Placement Support
Get career guidance, interview preparation and placement assistance for relevant national and international opportunities.
Global Alumni & Career Opportunities
Connect with a learning community spanning the USA, UK, India, Dubai, Canada, Australia and other regions.
PROGRAM AT A GLANCE
Duration
6-8 Months
Practical Training
300+ Hours
Mode
Live Hands-on Training
Core Focus
Cloud & AI Platform Engineering
Cloud Platforms
AWS, Azure & Google Cloud
DevOps
Git, CI/CD & Automation
Containers
Docker & Kubernetes
Platform Engineering
Infrastructure as Code, GitOps & Internal Developer Platforms
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Frequently Asked Questions
No. Cloud infrastructure is the foundation. The learning path progresses through Cloud, DevOps, containers, Kubernetes, infrastructure automation and platform engineering.
No. The course is structured to introduce foundational concepts before moving into advanced platform engineering topics.
Yes, absolutely. This program covers core cloud concepts and practical implementation across all three major cloud providers—Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). You will learn how to configure, provision, and manage infrastructure and services across multi-cloud environments.
Infrastructure as Code means defining and managing infrastructure through configuration files and code rather than relying only on manual setup.
Yes. Docker and Kubernetes are included in the learning path for application containerisation, deployment and operations.
Cloud engineering focuses on infrastructure and cloud services. Platform engineering builds reusable tools and workflows on top of infrastructure and automation so software teams can deploy applications more efficiently.
Yes. Git, CI/CD, containerisation and infrastructure automation are included as core parts of the learning journey.
Build. Automate. Deploy. Operate.
BUILD YOUR CAREER IN DATA ENGINEERING & AI DATA PLATFORMS
Build practical expertise across:
- Cloud Infrastructure
- Linux & Networking
- DevOps & CI/CD
- Docker & Kubernetes
- Infrastructure as Code
- GitOps & Cloud Operations
- Platform Engineering
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Start Your Journey Toward Cloud & Platform Engineering.
PRIMEBIT SOLUTION
- Cloud Platforms (AWS, Azure, GCP)
- Linux & Networking
- DevOps & CI/CD
- Containers & Kubernetes
- Platform Engineering
Master cloud computing from scratch. Build the infrastructure, automate deployments, and shape the future of cloud-native engineering.