Cloud Computing Course Outlines
Course Outlines for Cloud Computing Training
Below you’ll find cloud computing course outlines that can be customized for your team to be taught by live, real-world experts.
1. AWS Cloud Computing Fundamentals: Master Essential Cloud Services for Career Success
Level of Knowledge: Beginner
Description:
This comprehensive course equips professionals with foundational AWS knowledge to design, deploy, and manage scalable cloud solutions. Students will gain practical skills in core AWS services while preparing for cloud certification paths and real-world implementation challenges.
In today's digital landscape, cloud computing expertise has become essential for technology professionals. This intensive AWS Fundamentals course provides a structured pathway to mastering Amazon Web Services, the world's leading cloud platform. Students will explore core cloud services, including compute, storage, networking, and security, while building practical solutions that mirror real enterprise scenarios.
The curriculum addresses critical industry demands for cloud-skilled professionals by combining theoretical knowledge with extensive hands-on practice. Participants will learn to architect cost-effective solutions, implement security best practices, and optimize cloud resources for performance and scalability. This foundation prepares students for AWS cloud certification exams and positions them for roles in cloud architecture, DevOps, and infrastructure management.
Through immersive labs and projects, learners will gain confidence in deploying production-ready applications, automating infrastructure, and managing cloud services efficiently. The course emphasizes practical skills that directly translate into workplace success and career advancement in cloud computing.
Prerequisites:
Basic understanding of networking concepts (TCP/IP, DNS, firewalls)
Familiarity with Linux command line and basic system administration
General knowledge of web technologies (HTTP/HTTPS, web servers)
AWS Free Tier account (instructions provided before course start)
Learning Objectives:
- Design and implement secure, scalable AWS architectures using best practices
- Deploy and manage compute resources using EC2, Lambda, and container services
- Configure robust networking solutions with VPC, subnets, and security groups
- Implement cost optimization strategies and resource monitoring
- Build automated infrastructure using CloudFormation and AWS CLI
- Prepare for AWS Certified Cloud Practitioner and Solutions Architect certifications
Course Outline:
- Cloud Computing Foundations and AWS Core Services
- Introduction to cloud computing models (IaaS, PaaS, SaaS)
- AWS global infrastructure and availability zones
- Identity and Access Management (IAM) configuration
- AWS Management Console and CLI navigation
- Compute and Storage Solutions
- EC2 instance deployment and management
- Elastic Block Store (EBS) and instance storage options
- S3 bucket creation and lifecycle policies
- Serverless computing with Lambda functions
- Networking and Content Delivery
- Virtual Private Cloud (VPC) architecture design
- Subnet configuration and route tables
- Security groups and network ACLs implementation
- CloudFront CDN setup and optimization
- Database and Application Services
- RDS deployment for relational databases
- DynamoDB NoSQL implementation
- Elastic Load Balancing configuration
- Auto Scaling group management
- Security, Monitoring, and Automation
- AWS security best practices and compliance
- CloudWatch monitoring and alerting
- CloudFormation infrastructure as code
- Cost management and optimization strategies
2. Azure Cloud Architecture: Mastering Enterprise Cloud Solutions
Level of Knowledge: Intermediate
Description:
This comprehensive course equips IT professionals with advanced Azure cloud architecture skills to design, implement, and optimize enterprise-scale cloud solutions. Students will master the art of building resilient, secure, and cost-effective cloud infrastructures while preparing for industry-recognized cloud certification exams.
Transform your career by mastering Azure cloud architecture in this intensive, practice-focused program. As organizations rapidly migrate to cloud computing platforms, skilled Azure architects are in unprecedented demand. This course delivers deep technical expertise in designing scalable cloud services architectures, implementing security best practices, and optimizing performance for mission-critical applications. You'll work with real enterprise scenarios, learning to balance technical requirements with business objectives while managing costs effectively.
Beyond technical skills, you'll develop the strategic thinking needed to lead cloud transformation initiatives. The curriculum addresses current industry challenges including hybrid cloud integration, microservices architecture, and automated governance. By course completion, you'll possess the expertise to architect sophisticated cloud solutions and pursue advanced cloud certification paths, positioning yourself as a valuable asset in today's cloud-first technology landscape.
Prerequisites:
- Fundamental understanding of networking concepts (TCP/IP, DNS, load balancing)
- Hands-on experience with Azure Portal and basic Azure services (minimum 6 months)
- Proficiency in at least one programming language (Python, C#, or PowerShell preferred)
- Completion of AZ-900 Azure Fundamentals certification or equivalent knowledge
- Basic understanding of DevOps principles and infrastructure as code concepts
Learning Objectives:
- Design multi-tier Azure architectures incorporating best practices for scalability and resilience
- Implement comprehensive security frameworks using Azure's defense-in-depth approach
- Optimize cloud resource utilization through advanced monitoring and cost management strategies
- Architect hybrid cloud solutions integrating on-premises infrastructure with Azure services
- Build automated CI/CD pipelines for infrastructure deployment using Azure DevOps
- Evaluate and select appropriate Azure services based on specific business requirementsп
Course Outline:
- Enterprise Architecture Foundations
- Azure Well-Architected Framework principles and pillars
- Designing for high availability across multiple regions
- Network topology patterns and Azure Virtual Network architecture
- Identity and access management with Azure Active Directory
- Advanced Cloud Services Integration
- Microservices architecture with Azure Kubernetes Service (AKS)
- Serverless computing patterns using Azure Functions and Logic Apps
- Data platform architecture with Azure Synapse and Cosmos DB
- Event-driven architectures using Service Bus and Event Grid
- Security and Compliance Architecture Implementing
- Zero Trust security models in Azure
- Azure Security Center and Sentinel integration
- Compliance frameworks and Azure Policy implementation
- Encryption strategies for data at rest and in transit
- Performance Optimization and Monitoring
- Application performance monitoring with Application Insights
- Infrastructure monitoring using Azure Monitor and Log Analytics
- Cost optimization strategies and Azure Cost Management
- Disaster recovery planning and Azure Site Recovery
- Automation and Infrastructure as Code
- ARM templates and Bicep for infrastructure deployment
- Azure DevOps pipelines for continuous deployment
- PowerShell and Azure CLI automation scripts
- Terraform implementation for multi-cloud scenarios
3. Google Cloud Platform Essentials: Mastering Cloud Computing for Modern Enterprises
Level of Knowledge: Intermediate
Description:
This comprehensive course equips IT professionals with advanced Azure cloud architecture skills to design, implement, and optimize enterprise-scale cloud solutions. Students will master the art of building resilient, secure, and cost-effective cloud infrastructures while preparing for industry-recognized cloud certification exams.
Transform your career by mastering Azure cloud architecture in this intensive, practice-focused program. As organizations rapidly migrate to cloud computing platforms, skilled Azure architects are in unprecedented demand. This course delivers deep technical expertise in designing scalable cloud services architectures, implementing security best practices, and optimizing performance for mission-critical applications. You'll work with real enterprise scenarios, learning to balance technical requirements with business objectives while managing costs effectively.
Beyond technical skills, you'll develop the strategic thinking needed to lead cloud transformation initiatives. The curriculum addresses current industry challenges including hybrid cloud integration, microservices architecture, and automated governance. By course completion, you'll possess the expertise to architect sophisticated cloud solutions and pursue advanced cloud certification paths, positioning yourself as a valuable asset in today's cloud-first technology landscape.
Prerequisites:
- Fundamental understanding of networking concepts (TCP/IP, DNS, load balancing)
- Hands-on experience with Azure Portal and basic Azure services (minimum 6 months)
- Proficiency in at least one programming language (Python, C#, or PowerShell preferred)
- Completion of AZ-900 Azure Fundamentals certification or equivalent knowledge
- Basic understanding of DevOps principles and infrastructure as code concepts
Learning Objectives:
- Design multi-tier Azure architectures incorporating best practices for scalability and resilience
- Implement comprehensive security frameworks using Azure's defense-in-depth approach
- Optimize cloud resource utilization through advanced monitoring and cost management strategies
- Architect hybrid cloud solutions integrating on-premises infrastructure with Azure services
- Build automated CI/CD pipelines for infrastructure deployment using Azure DevOps
- Evaluate and select appropriate Azure services based on specific business requirementsп
Course Outline:
- Enterprise Architecture Foundations
- Azure Well-Architected Framework principles and pillars
- Designing for high availability across multiple regions
- Network topology patterns and Azure Virtual Network architecture
- Identity and access management with Azure Active Directory
- Advanced Cloud Services Integration
- Microservices architecture with Azure Kubernetes Service (AKS)
- Serverless computing patterns using Azure Functions and Logic Apps
- Data platform architecture with Azure Synapse and Cosmos DB
- Event-driven architectures using Service Bus and Event Grid
- Security and Compliance Architecture Implementing
- Zero Trust security models in Azure
- Azure Security Center and Sentinel integration
- Compliance frameworks and Azure Policy implementation
- Encryption strategies for data at rest and in transit
- Performance Optimization and Monitoring
- Application performance monitoring with Application Insights
- Infrastructure monitoring using Azure Monitor and Log Analytics
- Cost optimization strategies and Azure Cost Management
- Disaster recovery planning and Azure Site Recovery
- Automation and Infrastructure as Code
- ARM templates and Bicep for infrastructure deployment
- Azure DevOps pipelines for continuous deployment
- PowerShell and Azure CLI automation scripts
- Terraform implementation for multi-cloud scenarios
What Cloud Computing Training Offers
Prompt engineering courses deliver a comprehensive overview of the full range of techniques required to create prompts that generate accurate and relevant model outputs. These training programs typically cover foundational concepts as well as more advanced topics, allowing learners with various levels of prior knowledge to build their skills effectively.Key components of prompt engineering training include:
Custom GenAI Curriculum: Tailored content that addresses specific use cases and industry needs, ensuring relevance to participants’ roles.
Expert Instructors: Leading professionals from organizations like OpenAI, Claude, and LangChain provide insights into best practices and emerging trends.
Hands-On Coding Sessions: Practical exercises involving real use cases help learners apply prompt engineering skills in a collaborative environment, including opportunities to analyze and optimize existing code.
Flexible Formats and Delivery: Live, instructor-led sessions can be adapted to fit team schedules and learning preferences, enabling rapid skill acquisition.
Focus on Tools and Integration: Training covers the use of AI tools, APIs, and workflows for building LLM applications, including retrieval-augmented generation (RAG), safety considerations, and platforms such as Google Cloud with its AI and machine learning services like Vertex AI and generative AI APIs.
The training includes specific examples to illustrate practical applications and use cases of prompt engineering.
By engaging in such courses, prompt engineers gain the ability to craft effective prompts that optimize AI’s output, handle complex tasks, and fine tune models to suit specific objectives. Prompts can take various forms, such as questions, instructions, or code snippets, and understanding these forms is essential for improving AI responses. This proficiency is crucial not only for developers but also for AI/ML teams, engineering leaders, and enablement groups supporting AI initiatives.
