AWS Data Engineer with Data Analytics
The AWS Data Engineering Training course is designed to equip learners with the essential skills and knowledge required to build, manage, and scale data pipelines, data lakes, and analytical solutions on the Amazon Web Services (AWS) platform. This course is ideal for individuals who are aiming to become proficient in leveraging AWS for various data engineering tasks such as data ingestion, storage, processing, analytics, and security.
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Upcoming Batches
Date:
April 2 & 3
Time
08:00 AM to 10:00 AM
Program Duration:
60 Days
Learning Format:
Training
Course Curriculum
India’s #1 Software Training Institute
Master in AWS Data Engineer with Data Analytics
- Practical expertise through hands-on projects simulating real-world scenarios.
- Leverage an intuitive LMS with updated AWS technologies.
- Benefit mentorship from industry professionals guiding every step of the way.
- Receive career support, including job placement assistance, resume building, and interview coaching.
KEY HIGHLIGHTS
Collaborative and engaging learning environment.
A blended curriculum of foundational knowledge with advanced real-world applications.
Hands-on projects using the latest AWS tools to solve data engineering challenges.
Real-world case studies to help you design efficient scalable data solutions.
Comprehensive Training
- 100% Positive Reviews
- Mock Interviews
- Learn from the Practitioner
- Professional Certification
- Education Loan
- Experience Industry Faculty
- 6 Months Videos access
- Resume Preparation
- Interview Questions
- Dedicated Placement Team
AWS Data Engineer with Data Analytics
- Efficient data storage solutions with AWS services like Bigtable and BigQuery.
- Scalable data processing pipelines using Dataflow and Dataproc.
- Machine learning workflows on AWS using AI and ML tools.
- Integration of cloud storage, databases, and analytics for seamless operations.
- Proficiency in AWS security and compliance standards.
Skills Covered
- Data Modeling, Storage & Management (BigQuery, Cloud SQL, Cloud Storage)
- Data Pipeline Development (Dataflow, Pub/Sub, Dataproc)
- Cloud Architecture Design
- Data Processing and ETL Workflows
- Machine Learning with TensorFlow on AWS
- Monitoring and Optimization (Cloud Monitoring, Logging)
- Security and Compliance in AWS
Offered Programs
Exclusive Training
- Any Graduate
- 1-2 Hours Training
- 60 Days
- Real Time Faculty
- Mock Interviews
- Resume Preparation
- Training Completion Certificate
- 6 Months Videos Access
- Online and Offline Training
- Placement Assistance
- Project Oriented
- Course Fee: 30,000
JOB ORIENTED INTENSIVE PROGRAM (JOIP)​
- Any Graduate
- 6-8 Hours Training
- 60 Days
- Soft Skills Training
- Aptitude Training
- Real Time Faculty
- Use Cases & Project Oriented
- Continuous Sprints Support
- Career Guidance Session with trainer
- 6 Months Videos Access
- Topic Wise Assignments
- Topic Wise and Daily Notes
- Mock Interviews
- Resume Preparation
- Online and Offline Training
- Training Completion Certificate
- Interviews Monitoring
- Course Fee 80,000
Pre Requisites
The AWS Cloud Data Engineer Training at Quality Thought is perfect for anyone aiming to break into or advance within the field of cloud data engineering. A background in databases or cloud computing is not mandatory but can be beneficial.
Eligibility
- Anyone, Who want to upskill their skilset
- Who waht to shift their career from Non IT - IT
- Who have more than 2 yrs of Gap after academics
- Who are working in Database Related Projects
Who can attempt this course?
- Database Engineers, BigData/Hadoop Engineers
- ETL/Data Warehouse Engineers
- Any Application Programmers
- Test Engineers, Data Analysts
Course Curriculum
1: Fundamentals of Cloud Computing & AWS
- Introduction to Cloud Technologies
- Overview of Cloud Providers
- AWS Storage, Networking & Compute Basics
- Cloud Security, Compliance & Governance
- Identity & Access Management (IAM)
- Cloud Automation & Infrastructure as Code (IaC)
2: Data Engineering Concepts & Best Practices
- Core Principles of Data Engineering
- ETL vs. ELT – Key Differences
- Batch vs. Streaming Data Pipelines
- Data Warehousing vs. Data Lakes
- Cloud-Native Data Engineering Overview
3: Database Management & Data Modeling
- Introduction to SQL & NoSQL Databases
- Data Modeling for Structured & Unstructured Data
- Performance Optimization for SQL Queries
- Working with AWS Database Services (RDS, Aurora, DynamoDB)
- Data Indexing, Partitioning & Query Optimization
4: Working with Amazon S3 & Cloud Storage
- Object Storage & Lifecycle Policies
- Data Lake Architecture in AWS
- Data Security, Access Control & Encryption
- Integrating S3 with AWS Analytics & Processing Services
5: Building Data Pipelines with AWS Glue
- AWS Glue for ETL Automation
- Data Cataloging & Schema Evolution
- Data Transformation & Integration with AWS Services
- Orchestrating Workflows with AWS Glue Workflows & Step Functions
6: Real-Time Data Ingestion with Amazon Kinesis
- Streaming Data Overview & Use Cases
- Data Collection with Kinesis Data Streams & Firehose
- Managing Latency & Throughput in Streaming Pipelines
- Integration with AWS Lambda & Event-Driven Processing
7: Distributed Computing with AWS EMR
- Introduction to Hadoop, Spark & Presto on AWS
- Setting Up & Managing AWS EMR Clusters
- Running Big Data Workloads Using Spark
- Performance Tuning & Cost Optimization for EMR
8: Data Warehousing & Analytics with Redshift & Athena
- Introduction to Amazon Redshift
- Querying Data in Redshift & Athena
- Optimizing Performance with Distribution & Sorting Keys
- Cost-Efficient Query Execution Strategies
9: Data Processing & Transformation on AWS
- Apache Spark & Presto for Data Processing
- Data Transformation Techniques in AWS
- Serverless Query Processing with Athena
- Workflow Automation Using AWS Step Functions
10: Event-Driven Data Pipelines with Kafka & MSK
- Introduction to Managed Streaming for Apache Kafka (MSK)
- Event-Driven Architectures for Data Processing
- Integrating Kafka with AWS Analytics Services
- Monitoring & Managing High-Throughput Streaming
11: Operationalizing Machine Learning with SageMaker
- Introduction to AWS SageMaker for AI/ML
- Model Training, Deployment & MLOps Best Practices
- Batch & Real-Time Inference Using AWS AI Services
- Automating ML Pipelines Using AWS Step Functions
12: CI/CD & DevOps for Data Engineering
- Continuous Integration & Deployment for Data Pipelines
- Automating AWS Glue, Redshift & EMR Workloads
- Workflow Orchestration with Apache Airflow
- Infrastructure as Code (Terraform & AWS CloudFormation)
13: Data Analytics & Visualization with Amazon QuickSight
- Introduction to Business Intelligence & Data Visualization
- Connecting QuickSight to AWS Data Sources
- Building Interactive Dashboards
- Security & Performance Optimization for Data Reporting
14: Python for Cloud & Data Engineering
- Working with AWS SDK (Boto3) for Automation
- Scripting AWS Data Pipelines Using Python
- Managing Databases & Compute Resources Programmatically
- Logging, Monitoring & Debugging AWS Workloads
15: Security & Compliance for Cloud Data Pipelines
- Identity & Access Management (IAM) Best Practices
- Securing AWS Storage & Databases
- Data Encryption & Key Management (KMS)
- Threat Detection & Security Monitoring with AWS Tools
16: Monitoring & Observability in AWS
- Setting Up Monitoring with AWS CloudWatch
- Logging & Debugging AWS Glue & EMR Jobs
- Performance Tuning for Streaming Data Pipelines
- Automating Alerts & Incident Response
17: AWS Cloud Data Engineering Capstone Project
Recently Placed Students
In the Last 7 Months more than 80 Members placed
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Why Choose Quality Thought
100% Success Rates in the Placement for Skilled People
- Flexible online and offline learning.
- A proportional curriculum combining theory and practice.
- Instructors with real-world cloud engineering experience.
- Career counseling (resume writing, interview prep, and placement support) during job search.
- A record of helping students land high-demand roles in cloud data engineering.
A gate way to your🤔 Bright Future in the IT industry
Connect with us for Life-changing opportunities
Testimonials
The AWS Data Engineer Training at Quality Thought was a game changer for me. I learned the practical skills needed to build scalable data pipelines, and the career support helped me secure a job in just a few months
I was new to cloud computing, but this AWS Data Engineer Training at Quality Thought made it easy to grasp complex concepts. The mentors were fantastic, and the hands-on projects gave me confidence in my abilities
The real-world case studies and expert guidance in the AWS Data Engineer Training were invaluable. I now feel fully prepared to handle cloud-based data challenges in my role.
This AWS Data Engineer Training of Quality Thought helped me pivot my career into cloud data engineering. The tools, projects, and career support exceeded my expectations!
Certification
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Quality Thought’s AWS Data Engineer Training Certification Process:
Quality Thought will provide a certificate to the students who completed their AWS Data Engineer Training .
The certification will be provided within one week of the training completion.
The certification will be given to the students who have completed their projects and assignments on time.
Key Facts Of Quality Thought
Real Time Expert Trainers
50000+ Students Trained
15000+ Students Placed at Different Levels
Training by Realtime Industry Experts
Tie Up With 250+ Companies
Educated 15+ BPO & Back Office/Ops on IT Trends
Frequently asked questions
What is AWS Data Engineer Training?
This AWS Data Engineer training covers cloud architecture, data pipelines, storage solutions, and machine learning, providing theoretical and hands-on experience.
How will this benefit my career?
You’ll receive industry-recognized certification and hands-on experience with AWS’s advanced tools, opening doors to high-demand roles in cloud data engineering.
Does the training include real-world projects?
   Yes! The course includes industry-relevant practical projects and case studies to prepare you against real-world challenges in the field.Â
How can I enroll in the AWS Data Engineer Training?
You can contact us directly for details on enrollment and start dates or visit our website.
Will I receive certification after the course?
Yes! You will receive an industry-aligned AWS Data Engineer certification upon successful completion.
Are you Ready to Become an AWS Engineer?
