AWS Lambda Training
Introduction to AWS Lambda
AWS Lambda is a serverless compute service that allows you to run code without provisioning or managing servers. This course introduces you to the fundamentals of AWS Lambda, including creating, deploying, and managing Lambda functions.
Overview of AWS Lambda
Learn about the core concepts of AWS Lambda, including function creation, event sources, and execution models. Understand how Lambda integrates with other AWS services to enable serverless architectures.
Creating and Configuring Lambda Functions
Discover how to create and configure AWS Lambda functions. Learn how to write code in various languages supported by Lambda, configure function settings, and manage deployment packages and versions.
Event Sources and Triggers
Explore how to set up event sources and triggers for AWS Lambda functions. Learn how to connect Lambda to other AWS services, such as Amazon S3, DynamoDB, and API Gateway, to automate responses to events and data changes.
Building Serverless Applications
Gain insights into building serverless applications using AWS Lambda. Learn how to design and implement serverless architectures, including the use of AWS Step Functions and Lambda layers to enhance functionality and manage workflows.
Monitoring and Troubleshooting
Discover techniques for monitoring and troubleshooting AWS Lambda functions. Learn how to use AWS CloudWatch for logging and performance monitoring, and how to debug and resolve issues with Lambda functions.
Security and Access Control
Learn about security best practices for AWS Lambda. Understand how to manage access control using AWS IAM roles and policies, and how to implement security measures to protect your Lambda functions and data.
Cost Management and Optimization
Understand cost management and optimization strategies for AWS Lambda. Learn about the pricing model for Lambda functions, and explore best practices for optimizing function performance and controlling costs.
Case Studies and Real-World Applications
Review case studies and real-world applications of AWS Lambda. Learn from practical examples of how organizations have leveraged AWS Lambda to build scalable, event-driven applications and reduce operational overhead.
AWS Lambda Syllabus
1. Introduction to AWS Lambda
- What is AWS Lambda
- Key features of AWS Lambda
- What is an AWS Lambda Function
- Various tools used in AWS Lambda
- Limits of AWS Lambda
2. Serverless Computing
- What is Serverless Computing
- Concept of Pricing
- Comparison between cloud computing and serverless computing
- Key benefits of Serverless computing
- Serverless Architecture patterns
3. AWS Lambda Environmental Setup
- Introduction to AWS Lambda
- AWS Lambda Installation
- Eclipse and Visual Studio
- Login creation in AWS Console
- AWS Toolkit Support
- Lambda BoilerPlate
4. AWS Lambda with AWS CLI
- What is an AWS Lambda Function
- Use of AWS CLI
- Creation of execution role
- Create a Lambda function
- How to manage Lambda resources using AWS CLI
- Invocation of Lambda Function
5. Lambda Function
- How to create a Lambda function
- Invoking a Lambda Function
- Use of AWS Lambda Console
6. Basic AWS Lambda Concepts
- Concurrency
- Triggers
- Qualifier
- Event
- Lambda Runtime
7. Tools used to work with AWS Lambda
- Code Authoring tools
- AWS Command Line Interface (CLI)
- SAM CLI
- Serverless Application Model
8. Lambda Permissions
- AWS IAM Access Management
- Resource-based policies
- Permission boundaries
- Resources and Conditions
- User Policies (Identity-based policies)
9. Invoking and Managing AWS Lambda Functions
- Use of Configuration Console
- Concurrency
- Use of Environmental Variables
- Aliases and Layers
- Use of Database and File System
- Invoking AWS Lambda Functions
- Event Source Mapping
- Synchronous and Asynchronous Invocation
- Function Scaling
10. Lambda Runtimes
- Execution context
- Custom Runtime
- Custom runtimes
- Runtime interfaces
- Runtime support policy
11. Usage of AWS Lambda with Other Services
- Building AWS Lambda Functions using C#, Java, PowerShell, and Go
- AWS Lambda with API Gateway
- CloudWatch Events and Logs
- AWS Lambda working with Amazon DynamoDB and Kinesis Firehose
- Elastic Load Balancing
12. Troubleshooting Issues
- Troubleshooting networking issues
- Deployment issues
- Execution issues
- Invocation issues
13. AWS Lambda Use Cases
- Mobile Applications
- File Processing
- Website Designing
- Data Analytical Applications
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details