Introduction:
Serverless computing has become one of the most transformative paradigms in cloud computing, enabling developers to build and run applications without managing infrastructure. This course provides participants with a deep understanding of serverless architectures, how to build, deploy, and scale serverless applications, and the best practices for utilizing serverless frameworks in cloud environments like AWS Lambda, Azure Functions, and Google Cloud Functions. The course focuses on real-world use cases and how serverless computing can help businesses reduce operational overhead while improving scalability and performance.

Objectives:
By the end of this course, participants will be able to:

• Understand the key concepts of serverless computing and its advantages.
• Build and deploy serverless applications using AWS Lambda, Azure Functions, and Google Cloud Functions.
• Integrate serverless applications with databases, storage, and other cloud services.
• Manage and monitor serverless applications using cloud-native tools.
• Explore use cases, best practices, and challenges associated with serverless architectures.
• Understand security, performance optimization, and cost management in serverless computing.

Who Should Attend?
This course is designed for developers, DevOps engineers, cloud architects, and IT professionals who are looking to adopt serverless computing in their projects or organizations. It is ideal for:

• Developers looking to transition to serverless architectures and applications.
• DevOps engineers managing cloud-native applications and microservices.
• Cloud architects interested in designing scalable, efficient, and cost-effective serverless solutions.
• Professionals preparing for cloud certification exams (AWS Certified Developer – Associate, Microsoft Azure Developer Associate).

Day 1: Introduction to Serverless Computing

Morning Session:

• What is Serverless Computing?

  • Understanding serverless computing and its evolution.
  • Benefits of serverless architectures: No infrastructure management, scalability, and cost-efficiency.
  • How serverless compares to traditional computing models (e.g., virtual machines, containers).
  • Key serverless platforms: AWS Lambda, Azure Functions, Google Cloud Functions.

• Core Components of Serverless Computing

  • Functions as a Service (FaaS): Building blocks of serverless computing.
  • Backend as a Service (BaaS): Managed services for databases, authentication, storage, etc.
  • Event-driven architecture: Triggers and event handling in serverless applications.

Afternoon Session:

• Serverless Use Cases and Applications

  • Use cases for serverless computing: APIs, event-driven processing, microservices, and real-time data processing.
  • Real-world examples of serverless applications (e.g., chatbots, image processing, IoT).
  • Choosing serverless for appropriate workloads: When and why to use serverless.

• Introduction to AWS Lambda

  • Overview of AWS Lambda: Key features, pricing model, and use cases.
  • Creating and deploying simple AWS Lambda functions.
  • Integrating Lambda with other AWS services (e.g., API Gateway, DynamoDB, S3).

• Hands-On Lab: Creating and Deploying AWS Lambda Functions

  • Setting up an AWS Lambda function.
  • Triggering Lambda functions using API Gateway and S3 events.
  • Monitoring and troubleshooting Lambda functions using AWS CloudWatch.

Day 2: Building Serverless Applications with AWS Lambda

Morning Session:

• Building Event-Driven Applications with AWS Lambda
  • Understanding event sources and event-driven architecture.
  • Integrating Lambda with other AWS services: S3, DynamoDB, SNS, SQS, and CloudWatch.
  • Creating REST APIs with AWS API Gateway and integrating with Lambda.
• Serverless Frameworks for AWS
  • Introduction to the Serverless Framework for deploying serverless applications.
  • Benefits of using frameworks for serverless deployment: Automation, scaling, and configuration management.
  • Setting up the Serverless Framework: Installation, configuration, and deployment.

Afternoon Session:

• Security and Permissions in Serverless Computing

  • AWS Identity and Access Management (IAM) for Lambda functions.
  • Securing serverless applications: Environment variables, encryption, and access controls.
  • Best practices for securing serverless APIs and functions.

• Cost Management in Serverless Computing

  • Understanding the pricing model for serverless computing (e.g., Lambda function invocations, execution time, resources).
  • Monitoring and optimizing serverless costs with AWS CloudWatch and AWS Cost Explorer.

• Hands-On Lab: Building Event-Driven Applications with AWS Lambda

  • Creating an event-driven application using Lambda, S3, and DynamoDB.
  • Implementing authentication and authorization for APIs using IAM roles.

Day 3: Serverless Computing with Microsoft Azure and Google Cloud

Morning Session:

• Serverless with Azure Functions
  • Overview of Azure Functions: Key features, pricing, and use cases.
  • Creating and deploying Azure Functions using the Azure portal and Azure CLI.
  • Integrating Azure Functions with Azure Storage, Cosmos DB, and Event Grid.
• Serverless Applications with Azure Logic Apps and Event Grid
  • Building serverless workflows with Azure Logic Apps.
  • Handling events with Azure Event Grid and connecting to Azure Functions.

Afternoon Session:

• Serverless with Google Cloud Functions

  • Introduction to Google Cloud Functions: Key features, pricing, and use cases.
  • Creating and deploying functions with Google Cloud Functions.
  • Integrating Cloud Functions with Google Cloud Pub/Sub, Cloud Storage, and Firestore.

• Event-Driven Serverless Architecture

  • Event-driven patterns in Google Cloud Functions and their use cases.
  • Integrating Google Cloud Functions with other Google Cloud services.

• Hands-On Lab: Deploying Serverless Applications in Azure and Google Cloud

  • Creating and deploying a simple Azure Function.
  • Implementing a Google Cloud Function triggered by Cloud Storage events.

Day 4: Monitoring, Security, and Advanced Topics in Serverless

Morning Session:

• Monitoring and Debugging Serverless Applications

  • Best practices for monitoring serverless functions: Logs, metrics, and tracing.
  • Using AWS CloudWatch, Azure Monitor, and Google Cloud Monitoring.
  • Debugging serverless applications using logs and application tracing.

• Scaling Serverless Applications

  • How serverless scales automatically based on traffic and resource demand.
  • Managing scaling and concurrency with AWS Lambda, Azure Functions, and Google Cloud Functions.
  • Cold starts and latency issues in serverless applications.

Afternoon Session:

• Security Considerations for Serverless Applications

  • Protecting serverless APIs with API Gateway, OAuth, and JWT.
  • Securing Lambda functions, Azure Functions, and Google Cloud Functions.
  • Serverless vulnerability management and handling common security threats.

• Best Practices for Developing Serverless Applications

  • Handling state in stateless serverless applications.
  • Managing application state with external databases and storage.
  • Serverless architecture patterns: Microservices, event-driven processing, and batch jobs.

• Hands-On Lab: Monitoring and Securing Serverless Applications

  • Setting up monitoring for AWS Lambda and Google Cloud Functions.
  • Implementing security for APIs and serverless functions using IAM, OAuth, and API Gateway.

Day 5: Advanced Serverless Patterns, Optimization, and Future Trends

Morning Session:

• Advanced Serverless Patterns

  • Building and deploying microservices with serverless computing.
  • Integrating serverless with containers and Kubernetes for hybrid architectures.
  • Using serverless for real-time data processing, AI/ML, and IoT.

• Optimizing Serverless Applications

  • Optimizing cold start times and reducing function execution times.
  • Strategies for efficient function resource allocation.
  • Performance tuning and cost optimization strategies for serverless functions.

Afternoon Session:

• Future Trends in Serverless Computing

  • Emerging trends in serverless architectures: Edge computing and serverless containers.
  • The role of serverless in multi-cloud and hybrid environments.
  • The future of serverless computing in AI, machine learning, and large-scale applications.

• Hands-On Lab: Optimizing Serverless Applications

  • Performance tuning and cost optimization for AWS Lambda and Google Cloud Functions.
  • Integrating serverless functions with real-time data streams.