AWS Glue Lambda Training Course in Gurgaon
AWS GLUE is a Serverless cloud-based ETL service (Spark Service) offered from AWS that is used to build Spark ETL jobs for building the Data Pipelines & perform all the business rules & validation across platform. It combines Data warehousing, ETL Processing capability using Spark Engine to bring end-to-end (E2E) ETL solution from Data ingestion to hydration to transformation using Serverless Spark. AWS Lambda is a Serverless offering from AWS that is used for event-based triggering without managing or scale our infrastructure.
- Develop ETL scripts/templates to build ETL Jobs using GLUE that will reduce costing & speed-up ETL deployment.
- Training program will provide interactive sessions with industry professionals
- Realtime project expereince to crack job interviews
- Course Duration - 3 months
- Get training from Industry Professionals
Train using realtime course materials using online portals & trainer experience to get a personalized teaching experience.
Active interaction in sessions guided by leading professionals from the industry
Gain professionals insights through leading industry experts across domains
24/7 Q&A support designed to address training needs
AWS Glue Lambda Training Course Overview
Start your carrer in Data with AWS GLUE the Serverless cloud-based ETL service (Spark Service) offered from AWS that is used to build Spark ETL jobs for building the Data Pipelines & perform all the business rules & validation across platform. It combines Data warehousing, ETL Processing capability using Spark Engine to bring end-to-end (E2E) ETL solution from Data ingestion to hydration to transformation using Serverless Spark. AWS Lambda is a Serverless offering from AWS that is used for event-based triggering without managing or scale our infrastructure.
- Benefit from ongoing access to all self-paced videos and archived session recordings
- Success Aimers supports you in gaining visibility among leading employers
- Industry-paced training with realtime scenarios using AWS ETL tools like AWS GLUE, Lambda & others) for ETL automation.
- Real-World industry scenarios with projects implementation support
- Live Virtual classes heading by top industry experts alogn with project implementation
- Q&A support sessions
- Job Interview preparation & use cases
Explain AWS GLUE Data Engineers?
AWS GLUE Data Engineers build ETL Data pipelines using Serverless GLUE service/offering. Glue helps data engineers to build & develop ETL workflows & manage ETL job dependencies using GLUE pipeline orchestrator. It also helps to hydrate/ingest data from various data sources using the pre-built connectors available.
Role of AWS Glue Engineer?
Glue Data Engineers automate/build Data/ETL pipelines using Serverless Glue & Lambda offerings from AWS platform.
Responsibilities include:
- Glue Data engineers use Visual Studio & others IDE’s to write Spark/ETL scripts to automate/build ETL pipelines.
- Glue Engineers manages the end-to-end Data orchestration life cycle using ETL workflows and Glue templates.
- Develop and Design Glue workflows that automate ETL (GLUE/PySpark/Databricks) job pipelines securely & seamlessly
- Success Aimers helps aspiring Glue professionals to build, deploy, manage Data Pipelines using Glue templates effectively & seamlessly.
- Deploying Glue scripts within cloud infrastructure securely & seamlessly.
Who should opt for Glue Engineer course?
Glue Data Engineer course accelerates/boost career in Data & Cloud organizations.
- Glue Engineers – Glue Engineers manages the end-to-end Data Orchestration life cycle using Glue workflow and connectors.
- Glue Engineers – Implementing ETL Pipelines using Glue Tools.
- Glue Developers – Automated ETL pipeline deployment workflows using Glue Tools.
- ETL/Data Architect – Leading Data initiative within enterprise.
- Data and AI Engineers – Deploying ETL Application using AWS DevOps automation tools including Glue to orchestrate pipelines seamlessly and effectively.
Prerequisites of Glue Data Engineer Course?
Prerequisites required for the Glue Data Engineer Certification Course
- High School Diploma or a undergraduate degree
- Python + JSON/YAML scripting language
- IT Foundational Knowledge along with DevOps and cloud infrastructure skills
- Knowledge of Cloud Computing Platforms like AWS, AZURE and GCP will be an added advantage.
Kind of Job Placement/Offers after Glue Data Engineer Certification Course?
Job Career Path in ETL (Cloud) Automation using GLUE via AWS Platform
- Glue Data Engineer – Develop & Deploying Glue ETL scripts within cloud infrastructure using Azure DevOps tools & orchestrate it by using Glue & similar tools.
- Glue Automation Engineer – Design, Developed and build automated Glue ETL workflows to drive key business processes/decisions.
- Glue Data Architect – Leading Data initiative within enterprise.
- Glue Data Engineers – Implementing ETL Pipelines using PySpark & Glue Tools.
- Cloud and Data Engineers – Deploying ETL Application using Azure DevOps automation tools including Glue across environments seamlessly and effectively.
| Training Options | Weekdays (Mon-Fri) | Weekends (Sat-Sun) | Fast Track |
|---|---|---|---|
| Duration of Course | 2 months | 3 months | 15 days |
| Hours / day | 1-2 hours | 2-3 hours | 5 hours |
| Mode of Training | Offline / Online | Offline / Online | Offline / Online |
AWS Glue Lambda Course Curriculum
Start your carrer in Data with certification in Glue Data Engineer course, that will help in shaping the carrer to the current industry needs that need ETL automation/scheduling using intelligent GLUE workflows like Fabric, Control-M, Apache Oozie & others that allow organizations to boost decision making & also thrive business growth with improved customer satisfaction.
AWS Glue
Introduction
- AWS GLUE - 101
- What is ETL
GLUE Resources SetUp Part 1 – IAM, KMS, SNS
- IAM 101 – Authentication, Authorization and Identities
- IAM Lab - Setting Up Users and User Group
- IAM Lab - Setting Up IAM Role
- IAM 101 – Policies
- KMS 101 And KMS Lab - Setting Up KMS Key
- AWS SNS 101
- Create GlueJobRole
Core Components
- Core Components: Overview
- AWS Glue Data Catalog
- Data Catalog: Database
- Data Catalog: Tables
- Crawler
- AWS Glue Job
Getting Started
- Setting Up AWS Account
- Setting Up IAM User and Role
- Setting Up Source Data
- Creating ETL Job in AWS Glue
- Running and Validating ETL Job
GLUE Resources SetUp Part 2 – S3, AWS CLI, CloudFormation and CloudWatch
- AWS S3 101
- AWS CLI 101
- Configuring AWS CLI using IAM User Credentials
- AWS CloudFormation 101
- Assignment: Create S3 Bucket - awsglue-datasoup-gluejob2-source
- Assignment - Create S3 Bucket for GlueJob1 target
Creating Bucket and Uploading Data
- Creating S3 Buckets
- Uploading Data to S3 Buckets
- Assignment 4: Upload city_temperature.csv file to bucket
Glue Resources SetUp – Glue Catalog, Crawler
- AWS Glue Catalog 101
- AWS Glue Crawler Classifier 101
- Crawler Lab - First Glue Crawler Creation
- First Glue Crawler Running
- Crawler Lab - Second Glue Crawler Creation
- Crawler Lab - Forth Glue Crawler Creation
- Crawler Lab - Fifth Glue Crawler Creation and Running
- AWS Glue Job 101
- Crawler Lab - Third Glue Crawler Creation
- AWS Glue Trigger 101
- AWS Glue Workflow 101
Data Discovery
- Data Catalog and Preparation: Overview
- Crawler: Supported Data Stores
- Glue Connection
- Demo: AWS Glue Connection
- Crawler: Built-In Classifiers
- Crawler: Custom Classifiers
- Table Partitions: Overview
- Table Partitions Index: Overview
- Demo: Table Partition Index: Part 1
- Demo: Table Partition Index: Part 2
- Column Statistics: Overview
- Demo: Column Statistics
Building ETL Jobs with Visual ETL
- Building ETL Jobs: Overview
- Visual ETL: Overview
- Visual ETL: Features
- Built In and Custom Transforms: Quick Note
- Built-in Transforms
- Demo: Custom Transform
Building ETL Jobs with Script Editor
- AWS Glue Script Editor
- Apache Spark API: Overview
- AWS Glue Extensions: Overview
- Demo: Build ETL with Script Editor - Spark
Building ETL Jobs with Python Shell
- Python Shell Job in AWS Glue
- [Optional] Pandas - 101
- [Optional] AWS SDK for Python|Boto3 - 101
- Demo: Building ETL Job for Python Shell
Building ETL Jobs with Interactive Sessions
- Interactive Sessions: Section Overview
- [optional] Jupyter Notebooks - 101
- Interactive Sessions Overview
- Demo: Building ETL Jobs with Notebook
- Demo: Building Jobs with Jupyter Notebook
- Magic Commands
AWS GLUE Streaming Job
- AWS Glue Streaming Overview
- Demo: AWS Glue Streaming - Part 1
- Demo: AWS Glue Streaming - Part 2
- Getting Ready for Glue Streaming Pipeline
- Deploying Glue Streaming Job Infrastructure
- Lab - Creating Python Shell Glue Job for Stream Generation
- Lab - Creating Glue Streaming Loading Job
- Lab- Creating Glue Streaming Transforming Job
- Recap Before Running All Three Glue Streaming Jobs
- Running Glue Streaming Generator Job
- Running Glue Streaming Transformation Job
Cloud Formation Templates
- CloudFormation Templates 101
- First Glue Pipeline - CFN Templates
- Second Glue Pipeline - CFN Templates
- Glue Job 345 - CFN Template
- Recap CFN Template Update
- Upload CFN Templates to S3
First AWS GLUE Pipeline Creation
- Overview
- Getting Ready for Glue Pipeline Creation
- Deploying Glue Pipeline Stack Using CloudFormation
- CloudFormation Template Deployment Debugging
- Analyzing Glue Job Script and Running the Job
- Going Through the Log and Verifying Job Output
AWS GLUE Job Debugging
- Fix Error Retrieving the Script
- Fix Launch Error and Glue Argument Error
- Fix Resource Policy Error - Error Reading from Source Bucket
- Fix Identity Policy Error - Error Reading the Key
- Workflow Running GlueJob2
AWS GLUE Data Quality
- Data Quality 101
- Setting Up Data Quality Rule Set
- Glue Job with Data Quality Check
- Running the Glue Job
- Setting Up Glue Data Quality CloudWatch Metrics
- Receiving Alerts for Data Quality Issues
AWS GLUE Data Brew
- Data Quality 101
- Create Datasource and Profile Data
- Create Project and Review Data Profile Output
- Create and Publish Recipe
- Create Job by Using Published Recipe
Building ETL Jobs using Ray
- What is Ray: An Overview
- Enabling Ray with AWS Glue
- Demo: Sample Ray Job using Script Editor
- Demo: Sample Ray Job using Glue Studio Notebooks
GLUE Job Configuration
- Configuration: Overview
- Glue Versions
- Glue Versions: Additional Notes
- Configuring Properties for Spark Jobs
- Configuring Properties for Python Shell Jobs
- Configuring Properties for Ray Jobs
- AWS CLI - Notes
- AWS CLI and AWS Glue
- GLUE Job Parameters
Monitoring and Logging
- GLUE Job Monitoring
- Standard Metrics - AWS Glue Spark Jobs
- Observability Metrics - AWS Glue Spark Jobs
- Spark UI - AWS Glue Spark Jobs
- Logging - AWS Glue Spark Jobs
- Configuring Properties for Ray Jobs
- Job Run Insights: AWS Glue Spark Jobs
GLUE Tools
- GLUE Tools: Overview
- AWS CLI and AWS Glue
- [Optional] AWS CloudFormation - 101
- AWS CloudFormation and AWS Glue
- AWS SDK and AWS Glue
Additional Concepts
- AWS Glue Data Quality: Overview
- Demo: Enabling Data Quality with Data Catalog
- Demo: Enabling Data Quality with GLUE ETL Job
- Job Bookmarks: Overview
- Triggers: Overview
- Amazon Q Data Integration
Best Practices
- Best Practices: Performance
- Best Practices: Cost Optimization
15 Real-World Data Engineering (GLUE) Labs
- Lab 1 : Batch Data Processing of music streams using Airflow & Redshift
- Lab 2: Distributed music streams processing using Airflow, Spark & DynamoDB
- Lab 3: ETL for Rental Apartments using Step Functions, AWS GLUE & Redshift
- Lab 4: Build Datalake for Rental Vehicle Stores using EMR, S3 and Athena
- Lab 5: Build Event Driven Pipelines for E-Commerce using ECS and Step Functions
- Lab 6: Build a Lakehouse for an E-Commerce Store using ECS and Step Functions
- Lab 7: Event Dirven Data Processing for Taxi Trips using Lambda and Kinesis
- Lab 8: Real Time Data Ingestion of Clickstreams using Kinesis Firehouse & Redshift
- Lab 9: Build a Lakehouse on S3 for Commercial Flights Dataset
- Lab 10: Offer Dynamic Discounts to E-Commerce users using Real Time Events
- Lab 11: Setup Realtime PySpark Streaming job for Spotify Songs Metrics
AWS Lambda
AWS Lambda – Basic Concepts (Part 1)
- AWS Lambda – Basic Concepts
- Evolution from Physical Servers to AWS Lambda
- What is AWS Lambda & Use Cases
- Lambda Console Walkthrough
- Lambda Execution Role
Create S3, EC2 and DynamoDB using Lambda Python SDK boto3
- AWS Lambda Basics – Boto3, Client and Resource, Lambda function handler
- Create S3 Bucket with AWS Lambda and Boto3
- Delete S3 Bucket with AWS Lambda and Boto3
- List S3 Bucket with AWS Lambda and Boto3
- AWS Lambda with EC2 (Create EC2, Start EC2 and Stop EC2)
- AWS Lambda Automation Use Case Scenario - EC2, Lambda and EventBridge
- AWS Lambda with DynamoDB (Create DynamoDB Table and Put Items)
AWS Lambda – Basic Concepts (Part 2)
- AWS Lambda - Basic Concepts- Part 2- Section Overview
- AWS Lambda Invocation Model - Theory
- AWS Lambda Invocation Model - HandsOn
- AWS Lambda Limits - Timeout
Serverless Use Case 1 – Using S3, AWS Lambda and DynamoDB
- Enterprise Use Case using S3, AWS Lambda and DynamoDB – Part 1
- Enterprise Use Case using S3, AWS Lambda and DynamoDB – Part 2
AWS API Gateway – Overview
- API Gateway - Overview, API Types, API Endpoint Types
- API Gateway - Resources, Methods and Integration Types
- API Gateway - Deployment, API Stages, API Keys and Usage Plans
- API Gateway - Authentication and Authorization Methods
- API Gateway - Private API's and Private Integration
Serverless Use Case 2 – API Gateway, Lambda and S3, API Keys and Usage Plans
- Serverless Enterprise Use Case 2 - Architecture (API Gateway, AWS Lambda and S3)
- S3, Lambda and API Gateway - Part 1
- S3, Lambda and API Gateway with Query String Parameters - Part 2
- API Keys and Usage Plan - Theory
- API Keys and Usage Plan – HandsOn
API Security – Securing APIs with AWS Lambda Authorizer & Cognito Authorizer
- Securing API's using AWS Lambda Authorizer - Theory
- Securing API's using AWS Cognito Authorizer - Theory
AWS Generative AI – AWS Bedrock, API Gateway and AWS Lambda
- Generative AI - Use Case and Architecture
- Generative AI - AWS Bedrock Overview
- Generative AI - AWS Lambda Prerequisites
- Generative AI - Write AWS Lambda Function to access Bedrock
- Generative AI - Create REST API using API Gateway to access Bedrock
- Generative AI - End to End Demo
- Table Partitions: Overview
- Table Partitions Index: Overview
- Demo: Table Partition Index: Part 1
- Demo: Table Partition Index: Part 2
- Column Statistics: Overview
- Demo: Column Statistics
AWS Lambda – Advanced Concepts
- AWS Lambda - Advanced Concepts - Section Overview
- Lambda Execution and Concurrency
- Lambda - Reserved and Provisioned Concurrency
- Lambda Limits - Memory
- Lambda - VPC Networking Configuration
- Lambda - VPC Networking Configuration- HandsOn
- Lambda Monitoring - CloudWatch Metrics
- Lambda Monitoring - CloudWatch Logs
- Lambda Versions
- Lambda Aliases
- Lambda - Environment Variables
AWS Cloud Development Kit V2 – API Gateway, Lambda, S3
- Introduction to AWS Cloud Development Kit (CDK)
- AWS CDK v2 - Pre-requisites
- Implementing Serverless Use Case 2 using AWS CDK v2
- AWS CDK - Create S3 bucket using AWS CDK v2
- AWS CDK - Create IAM Role using AWS CDK v2
- AWS CDK - Create Lambda using AWS CDK v2
- AWS CDK - Create API Gateway using AWS CDK v2
AWS Cloud Formation – API Gateway, Lambda, S3
- AWS Cloud Formation Basics
- AWS Cloud Formation - Serverless Architecture - API Gateway, AWS Lambda and S3
- AWS Cloud Formation - S3 Bucket
- AWS Cloud Formation - Lambda Execution Role
- AWS Cloud Formation - AWS Lambda
- AWS Cloud Formation - REST API and API Resources
- AWS Cloud Formation - API Method and API Deployment
- AWS Cloud Formation - Lambda Invoke Permission
- AWS Cloud Formation - End to End Demo
- AWS Cloud Formation - End to End with Parameters Section
- AWS Cloud Formation - End to End with Metadata and Parameters Section
Hours of content
Live Sessions
Software Tools
After completion of this training program you will be able to launch your carrer in the world of Data being certified as AWS Certified Glue & Lambda Professional.
With the Glue Certification in-hand you can boost your profile on Linked, Meta, Twitter & other platform to boost your visibility
- Get your certificate upon successful completion of the course.
- Certificates for each course
- AWS Glue
- DevOps
- CI/CD
- AWS Lambda
- AWS S3
- AWS SQS
- AWS SNS
- AWS Container Registry
- AWS RDS
- Amazon Redshift
- Grafana
- Kubernetes
- Terraform Cloud
- Docker
45% - 100%
Designed to provide guidance on current interview practices, personality development, soft skills enhancement, and HR-related questions
Receive expert assistance from our placement team to craft your resume and optimize your Job Profile. Learn effective strategies to capture the attention of HR professionals and maximize your chances of getting shortlisted.
Engage in mock interview sessions led by our industry experts to receive continuous, detailed feedback along with a customized improvement plan. Our dedicated support will help refine your skills until your desired job in the industry.
Join interactive sessions with industry professionals to understand the key skills companies seek. Practice solving interview question worksheets designed to improve your readiness and boost your chances of success in interviews
Build meaningful relationships with key decision-makers and open doors to exciting job prospects in Product and Service based partner
Your path to job placement starts immediately after you finish the course with guaranteed interview calls
Why should you choose to pursue a Glue Data Engineer course with Success Aimers?
Success Aimers teaching strategy follow a methodology where in we believe in realtime job scenarios that covers industry use-cases & this will help in building the carrer in the field of DevOps & also delivers training with help of leading industry experts that helps students to confidently answers questions confidently & excel projects as well while working in a real-world
What is the time frame to become competent as a AWS Glue Data engineer?
To become a successful AWS Glue Data Engineer required 1-2 years of consistent learning with dedicated 3-4 hours on daily basis.
But with Success Aimers with the help of leading industry experts & specialized trainers you able to achieve that degree of mastery in 6 months or one year or so and it’s because our curriculum & labs we had formed with hands-on projects.
Will skipping a session prevent me from completing the course?
Missing a live session doesn’t impact your training because we have the live recorded session that’s students can refer later.
What industries lead in AWS Glue implementation?
Manufacturing
Financial Services
Healthcare
E-commerce
Telecommunications
BFSI (Banking, Finance & Insurance)
“Travel Industry
Does Success Aimers offer corporate training solutions?
At Success Aimers, we have tied up with 500 + Corporate Partners to support their talent development through online training. Our corporate training programme delivers training based on industry use-cases & focused on ever-evolving tech space.
How is the Success Aimers AWS Glue Data Engineer Certification Course reviewed by learners?
Our AWS Glue Data Engineer Course features a well-designed curriculum frameworks focused on delivering training based on industry needs & aligned on ever-changing evolving needs of today’s workforce due to Data and AI. Also our training curriculum has been reviewed by alumi & praises the through content & real along practical use-cases that we covered during the training. Our program helps working professionals to upgrade their skills & help them grow further in their roles…
Can I attend a demo session before I enroll?
Yes, we offer one-to-one discussion before the training and also schedule one demo session to have a gist of trainer teaching style & also the students have questions around training programme placements & job growth after training completion.
What batch size do you consider for the course?
On an average we keep 5-10 students in a batch to have a interactive session & this way trainer can focus on each individual instead of having a large group
Do you offer learning content as part of the program?
Students are provided with training content wherein the trainer share the Code Snippets, PPT Materials along with recordings of all the batches
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