AWS Data Engineer Certification Training in Gurgaon
- Enroll for Cloud Architecture, Developer, Operations, DevOps, AI / ML, Networking and Security Certifications
- Experience blended learning through interactive offline and online sessions.
- Job Assured Course
- Course Duration - 2 months
- Get Trained from Industry Experts
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
Enhance your career with 42+ in-demand skills and 20+ services
AWS Data Engineer Certification Training Overview
This AWS live-learning courses cover deep into designing, developing, deploying, and managing scalable solutions and infrastructure across AWS platforms, equipping you for success in today’s fast-evolving technology landscape
- Benefit from ongoing access to all self-paced videos and archived session recordings
- Success Aimers supports you in gaining visibility among leading employers
- Get prepared for 10+ AWS official certifications with our role based courses tailored to your specific needs
- Engage with real-world capstone projects
- Engage in live virtual classes led by industry experts, complemented by hands-on projects
- Learn 42+ In-Demand Skills & 20+ Services
- Job interview rehearsal sessions
Automate the collection and processing of structured and semi-structured data while monitoring data pipeline performance
What is AWS Certified Engineer?
AWS Certified Engineers are essential for driving cloud innovation in software development and testing. They manage the full deployment cycle, building and maintaining DevOps pipelines for Application deployment and workflows, and also automating deployment and testing processes. By automating workflows and resolving challenges in deployment, and maintenance, they help organizations deliver reliable, high-performance & faster and more efficiently.
The role of AWS Certified Engineer?
AWS Certified Cloud Engineers in software development and testing oversees the end-to-end lifecycle of web applications, from development to deployment and system performance optimization. Key responsibilities include:
Exploring Emerging Technologies: Leveraging Cloud technologies, Cloud netwtorking, and security techniques to enhance efficiency and streamline deployment workflows.
Scalable AI Development: Designing and implementing web applications that address critical business needs.
Seamless Deployment: Coordinating web deployment with infrastructure management for smooth delivery.
Workflow Optimization: Creating, analyzing, and refining automation scripts and deployment workflows to maximize productivity.
For professionals aspiring to excel in this field, the Success Aimers AWS Certified Cloud Engineers Course provides hands-on training to master these skills. The program equips you to confidently manage deployment lifecycles, deployment pipelines, automation, and deployment processes, positioning you as a high-impact AWS Certified Cloud Engineers engineer in software development and testing.”**
Who should take this AWS Certified Cloud Engineers course?
The AWS Certified Cloud Engineer Course is tailored for professionals aiming to accelerate their careers in Cloud, data, and technology-driven sectors. It is particularly valuable for roles including:
Cloud Team Leaders
Software and DevOps Developers
Cloud Engineers and IT Managers
Cloud & Infrastructure Engineers
Cloud Researchers and Application Engineers
This program equips participants with the skills to lead DevOps & infrastructure initiatives, implement advanced deployment workflows, and drive innovation in software development and testing.
What are the prerequisites of AWS Certified Cloud Engineer Course?
Prerequisites for the AWS Certified Cloud Engineer Certification Course”
To ensure a seamless learning experience, candidates are expected to have:
Educational Background:Â An undergraduate degree or high school diploma in a relevant field.
Technical Foundation: Knowledge of IT, software development, or data science fundamentals.
Programming Skills:Â Basic proficiency in languages such as Python or JavaScript.
Cloud Familiarity:Â Experience with cloud platforms like AWS or Microsoft Azure.
Meeting these prerequisites enables learners to effectively grasp advanced Cloud concepts, including DevOps tool, pipeline workflows, Webapp deployment, and automation throughout the course.
Which jobs can I get after a AWS Certified Cloud Engineer Certification Course?
- AWS Certified Cloud Engineer
- SRE Reliability Engineer
- Cloud Solutions Release Manager
- Infrastructure/Cloud Automation Engineer
- Cloud Engineer / Cloud Architect
- Cloud Infrastructure Engineer
- Cloud Deployment Engineer
| 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 Certified Data Engineer Associate (DEA-C01) Course Overview
This AWS Cloud Certification training enhances your career after chosing the relevant certification path based on the roles. You can practice with hands-on labs and capstone projects and gain proficiency with AWS tools. After completion of the course, you can leverage Job assistance services and enhance career prospects.
Below are the leading cloud career roles and the corresponding AWS certification path. You can choose the role(s) that progress your AWS certification journey toward your goals. These learning paths are recommendations, not requirements.
Data Analytics
AWS Data Engineer Associate Certification Course (DEA-C01)
Data Engineer Fundamentals
- Intro: Data Engineering Fundamentals
- Types of Data (Structured, Unstructured, Semi-Structured)
- Properties of Data (Volume / Velocity / Variety)
- Data Warehouses vs. Data Lakes (and Lakehouses)
- What is a "Data Mesh"?
- Managing and Orchestrating ETL Pipelines
- Common Data Sources and Data Formats
- Quick Review of Data Modelling, Data Lineage, and Schema Evolution
- Database Performance Optimization
- Data Sampling Techniques
- Data Skew Mechanisms
- Data Validation and Profiling
- SQL Review: Aggregations, Grouping, Sorting, Pivoting
- SQL JOIN types
- SQL Regular Expressions (a quick intro)
- Git review: architecture and commands
Storage
- Intro: Storage
- [Important] AWS Console UI Update
- Set up an AWS Billing Alarm
- Amazon S3
- Amazon S3 Security - Bucket Policy
- Amazon S3 – Versioning
- Amazon S3 – Replication
- Amazon S3 - Storage Classes
- Amazon S3 Express One Zone
- Amazon S3 - Lifecycle Rules
- Amazon S3 - Event Notifications
- Amazon S3 – Performance
- Amazon S3 – Encryption
- About DSSE-KMS
- Amazon S3 - Default Encryption
- Amazon S3 - Access Points
- Amazon S3 - Object Lambda
- Amazon S3 - Storage Lens
- Amazon EBS
- Amazon EBS Elastic Volumes
- Amazon EFS
- Amazon EFS vs. Amazon EBS
- AWS Backup
Database
- Intro: Database
- Amazon DynamoDB
- Amazon DynamoDB in Big Data
- Amazon DynamoDB - Throughput (RCU & WCU)
- Amazon DynamoDB - Basic APIs
- Amazon DynamoDB - Indexes (LSI & GSI)
- Amazon DynamoDB - PartiQL
- Amazon DynamoDB Accelerator (DAX)
- Amazon DynamoDB - Streams
- Amazon DynamoDB - Time To Live (TTL)
- Amazon DynamoDB - Patterns with S3
- Amazon DynamoDB - Security
- Amazon RDS
- Shared and exclusive locks in RDS
- Amazon RDS Best Practices
- Amazon Document DB
- Amazon Memory DB for Redis
- Amazon Keyspaces (for Apache Cassandra)
- Amazon Neptune
- Amazon Neptune - Query Languages
- Amazon Timestream
- Amazon Redshift Intro & Architecture
- Redshift Spectrum and Performance Tuning
- Redshift Durability and Scaling
- Redshift Distribution Styles
- Redshift Data Flows and the COPY command
- Redshift Integration / WLM / Vacuum
- Redshift Resizing
- RA3 Nodes, Cross-Region Data Sharing, Redshift ML
- Redshift Security
- Redshift Serverless
- Redshift Materialized Views
- Redshift Data Sharing / Data Shares
- Redshift Lambda UDF
- Redshift Federated Queries
- Redshift System Tables and System Views
- Redshift Data API
Migration & Transfer
- Intro: Migration and Transfer
- Application Discovery Service & Application Migration Service
- AWS Database Migration Service (AWS DMS)
- AWS DataSync
- AWS Snow Family
- AWS Transfer Family
Compute
- Intro: Compute
- EC2 in Big Data
- EC2 Graviton-based instances
- AWS Lambda
- Lambda Integration - Part 1
- Lambda Integration - Part 2
- AWS Lambda - File Systems Mounting
- AWS SAM
- AWS SAM with DynamoDB - Hands On
- AWS Batch
Containers
- Intro: Containers
- What is Docker?
- Amazon ECS
- Using Locals with Amazon ECS - Create Cluster - Hands Onodules
- Amazon ECR
- Amazon EKS
Analytics
- Intro: Analytics
- AWS Glue
- Glue, Hive, and ETL
- Modifying the Glue Data Catalog from ETL Scripts
- Running ETL Jobs with Bookmarks
- Glue Costs and Anti-Patterns
- AWS Glue Studio
- AWS Glue Data Quality
- AWS Glue DataBrew
- Handling PII in DataBrew Transformations
- AWS Glue Workflows
- AWS Lake Formation
- AWS Lake Formation Data Filters
- Amazon Athena
- Athena and Glue, Costs, and Security
- Athena Performance
- Athena ACID Transactions
- Apache Iceberg and Athena / EMR / Glue Integration
- Athena Fine-Grained Access to AWS Glue Data Catalog
- Apache Spark
- Athena, Glue, and S3 Data Lakes - Hands On
- Athena and CREATE TABLE AS SELECT (CTAS)
- Spark Integration with Kinesis and Redshift
- Spark Integration with Athena
- Athena Federated Queries
- Amazon EMR
- EMR, AWS integration, and Storage
- EMR Promises; Intro to Hadoop
- EMR Serverless; EMR on EKS
- Amazon Kinesis Data Streams
- Amazon Kinesis Data Streams - Producers
- Amazon Kinesis Data Streams - Consumers
- Amazon Kinesis Data Streams - Hands On
- Amazon Kinesis Data Streams - Enhanced Fan Out
- Amazon Kinesis Data Streams - Scaling
- Amazon Kinesis Data Streams - Handling Duplicates
- Amazon Kinesis Data Streams - Security
- Amazon Data Firehose
- Kinesis Data Stream Troubleshooting and Performance Tuning
- Kinesis Data Analytics / Amazon Managed Service for Apache Flink (MSAF)
- Update: Kinesis Data Analytics EOL
- Kinesis Analytics Costs; RANDOM_CUT_FOREST
- Amazon MSK
- Amazon MSK - Connect
- Amazon MSK - Serverless
- Amazon Kinesis vs. Amazon MSK
- Amazon OpenSearch Service
- Amazon OpenSearch Service, Pt. 2
- OpenSearch Index Management and Designing for Stability
- Amazon OpenSearch Service Performance
- Amazon OpenSearch Serverless
- Amazon Quicksight
- Quicksight Pricing and Dashboards; ML Insights
- Quicksight Calculated Fields and Level-Aware Calculations
Application Integration
- Intro: Application Integration
- Amazon SQS
- Amazon Kinesis Data Streams vs. Amazon SQS
- Amazon SQS - Dead Letter Queues
- Amazon SNS
- Amazon SNS - with SQS Fan Out
- Amazon SNS - Hands On
- AWS Step Functions
- AWS Step Functions: State Machines and States
- Amazon AppFlow
- Amazon EventBridge
- Amazon Managed Workflows for Apache Airflow (Amazon MWAA)
- Full Data Engineering Pipelines
Security, Identity and Compliance
- Intro: Security, Identity, and Compliance
- Principle of Least Privilege
- Data Masking and Anonymization
- Key Salting
- Preventing Backups or Replication to Disallowed AWS Regions
- IAM Introduction: Users, Groups, Policies
- IAM Users & Groups Hands On
- AWS Console Simultaneous Sign-in
- IAM Policies
- IAM MFA
- IAM Roles
- Encryption 101
- AWS KMS
- Amazon Macie
- AWS Secrets Manager
- AWS WAF
- AWS Shield
- AWS Services Security Deep Dive - Part 1
- AWS Services Security Deep Dive - Part 2
- AWS Services Security Deep Dive - Part 3
Networking & Content Delivery
- Intro: Networking and Content Delivery
- VPC, Subnets, Internet Gateway, NAT Gateway
- NACL, Security Groups, VPC Flow Logs
- VPC Peering, Endpoints, VPN, Direct Connect
- VPC Cheat Sheet & Closing Comments
- AWS Private Link
- What is DNS?
- Amazon Route 53
- Amazon Route 53 - Registering Domains - Hands On
- Amazon Route 53 - Creating DNS Records - Hands On
- Amazon CloudFront
- Amazon CloudFront - S3 as Origin - Hands On
- Amazon CloudFront - ALB/EC2 as an Origin
- Amazon CloudFront - Cache Invalidation
Management & Governance
- Intro: Management and Governance
- Amazon CloudWatch - Metrics
- Amazon CloudWatch - Logs
- Amazon CloudWatch - Logs Unified Agent
- Amazon CloudWatch - Alarms
- Amazon CloudTrail
- AWS CloudTrail Lake
- AWS Config
- CloudWatch vs. CloudTrail vs. Config
- AWS CloudFormation
- SSM Parameter Store
- AWS Well-Architected Framework & Tool
- Amazon Managed Grafana
- Amazon Datazone
Machine Learning
- Intro: Machine Learning
- Amazon SageMaker AI
- SageMaker Feature Store
- SageMaker ML Lineage Tracking
- SageMaker Data Wrangler
Developer Tools
- Intro: Developer Tools
- AWS Access Keys, CLI & SDK
- AWS CLI Setup on Windows
- AWS CDK
- AWS CodeDeploy
- IMPORTANT: CodeCommit Discontinuation
- AWS CodeCommit
- AWS CodeBuild
- AWS CodePipeline
Everything Else
- Intro: Everything Else
- AWS Budgets
- AWS Cost Explorer
- Amazon API Gateway
- AWS CodeDeploy
- Amazon API Gateway - Hands On
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 AI being certified as AWS Certified Data Engineer – Associate (DEA-C01) Course.
With the AWS Certified Data Engineer Associate Course 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 S3
- Amazon Bedrock
- AWS EC2
- AWS Lambda
- AWS SQS
- AWS GLUE
- AWS Redshift
- AWS Step Functions
- AWS Sagemaker
- AWS Data Sync
- AWS SNS
- AWS Athena
- AWS Managed Kafka
- AWS Service Catalog
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 AWS Certified AWS Certified Data Engineer - Associate (DEA-C01) 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 AWS & 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 Engineer?
To become a successful AWS 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 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 Certified Data Engineer - Associate (DEA-C01) Course reviewed by learners?
Our AWS Cloud 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 Cloud Computing (AWS)
Also our training curriculum has been reviewed by alumi & praises the thorough 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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