Gain foundational knowledge of Cloud Computing including:

• What is Cloud Computing and its business value
• Types of cloud services and real-world use cases (IaaS, PaaS, SaaS)
• Overview of popular cloud platforms and tools (AWS, Azure, Google Cloud)
• How Cloud Computing drives digital transformation

Learn the basics of Cloud Computing and set up your first cloud project:

• Setting up and configuring cloud accounts (AWS, Azure, or Google Cloud)
• Exploring the cloud platform user interface
• Creating your first cloud resource or project
• Understanding basic cloud services and their usage

Dive into cloud resource automation and management:

• Understanding and configuring cloud resources efficiently
• Using templates, scripts, and automation tools for provisioning
• Troubleshooting deployment and configuration issues
• Best practices for managing scalable and reliable cloud infrastructure

Learn how to manage and process data in the cloud:

• Understanding cloud data types, storage options, and variables
• Working with structured and unstructured datasets
• Managing data in cloud databases (like AWS RDS, Azure SQL, or BigQuery)
• Filtering, transforming, and processing data efficiently using cloud tools

This lesson covers key techniques for collecting and managing data in cloud environments:

• Advanced methods for accessing dynamic cloud resources and APIs
• Extracting structured and unstructured data from cloud databases and services
• Handling authentication, credentials, and session management securely
• Managing restricted or protected data sources
• Optimizing large-scale data processing and automation in the cloud

Master essential techniques to make cloud workflows reliable and efficient:

• Implementing robust error handling in cloud automation and pipelines
• Defining and managing custom exception scenarios for cloud processes
• Using logging frameworks for monitoring and audit trails
• Debugging complex cloud deployments and workflows
• Profiling performance and optimizing resource usage in cloud environments

Learn how to manage and automate cloud workflows at an enterprise level:

• Setting up and configuring task/job queues in the cloud
• Securing credentials, APIs, and cloud resources
• Scheduling tasks and prioritizing workloads efficiently
• Monitoring workflows with alerts and logging
• Best practices for deploying cloud solutions across multiple environments

Develop a complete end-to-end cloud solution covering:

• Gathering requirements and assessing business/cloud needs
• Designing the cloud architecture and workflow
• Implementing all learned techniques: resource provisioning, data management, and automation
• Documenting methodology and ensuring knowledge transfer
• Deploying the cloud solution and planning for monitoring and maintenance