Trending AWS Course in Pune
Pune's most practical AWS Data Engineering Course in pune. Build production-grade data lakes, CDC, streaming and orchestration pipelines on AWS with S3, Glue, PySpark, Redshift, Kinesis, Airflow/MWAA and Terraform — taught by working data engineers, mapped to the AWS Certified Data Engineer.
Learn to Build Data Lakes and Cloud-Native Data Pipelines Build 4 portfolio-grade capstones: Batch Lakehouse, CDC-to-Warehouse, Streaming Intelligence, Production Orchestration Learn AWS CLI, boto3, Terraform, Docker, CI/CD, Data Quality & FinOps — not just console clicks Job-oriented AWS Training in Pune with placement assistance, mock interviews & DEA-C01 mapping 
2200+ Career Transformations 250+ Hours of Training 95%+ Learner Satisfaction 15+ Years Expert Trainers 2200+ Working Professionals Transformed
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MARKET REALITY Why AWS Data Engineering Is One of the Most Future-Proof Careers in the AI Era
30%
AWS share of the global cloud infrastructure market, the largest of any provider
Synergy Research
#1
Data Engineer consistently ranks among the fastest-growing tech roles in India
JobSpeak
₹15–40 LPA
Typical salary band for AWS Data Engineers in Pune from 2 to 8 years' experience
Glassdoor / AmbitionBox
80%+
hare of enterprise AI initiatives that depend on production-grade data pipelines
Gartner / industry surveys
THE GAP
23,000 unfilled
Unfilled data/cloud engineering positions in India
Demand vs Supply Gap
Generative AI adoption is accelerating. Every enterprise needs AI engineers who can
build and deploy production systems.
Why Learn AWS Data Engineeringin Pune?
Every modern business runs on data. Our AWS Course in Pune trains you to design, build, deploy and operate pipelines for analytics, BI and AI. Learn Linux, Git, Python, advanced SQL, VPC, IAM, KMS, Amazon S3, AWS DMS, Kinesis, MSK/Kafka, SQS, Glue, PySpark, EMR, Athena, Redshift, Apache Airflow / Amazon MWAA, Lambda, Step Functions, Terraform, Docker, CI/CD, DataOps, DevOps, observability, data quality and FinOps.
STUDENT WORKLOAD
250 Hours
DURATION
6 Months
MODE
Classroom + Live Online + Recordings
Trusted By Leading Platforms
𝑻𝑯𝑬 𝑻𝑰𝑴𝑬𝑺 𝑶𝑭 𝑰𝑵𝑫𝑰𝑨
𝑺𝒊𝒍𝒊𝒄𝒐𝒏 𝑰𝒏𝒅𝒊𝒂
महाराष्ट्र टाइम्स
𝑹𝑬𝑷𝑼𝑩𝑳𝑰𝑪
𝑫𝑵𝑨
𝑺𝒌𝒊𝒍𝒍 𝑰𝒏𝒅𝒊𝒂
𝑰𝒏𝒕𝒆𝒍𝒍𝒊𝑩𝑰
AWS Data Engineer Certifications Course Syllabus
Module 1 - Linux, Git, Python & SQL Foundations
Build the practical engineering base every AWS data engineer needs. Learn to work confidently on Linux, version code with Git, write production-quality Python and solve warehouse-grade SQL problems before touching a single cloud service.
Real AWS Data Engineer Projects You’ll Build
Mini-Capstone Projects
Retail & E-Commerce | Medallion Data Lake on Amazon S3
Build a production-style medallion data lake on Amazon S3 by landing raw order, customer and clickstream JSON/CSV into a bronze zone, validating and converting it to partitioned Snappy Parquet in silver, and publishing curated gold datasets. Catalogue everything with AWS Glue crawlers and benchmark partition and file-size choices against Athena scan cost.
Banking & Fintech | Least-Privilege Secure Data Platform
Design a regulated banking data environment with private VPC subnets, S3 gateway endpoints and least-privilege IAM roles for Glue, Lambda and Redshift. Encrypt data using KMS customer-managed keys, store credentials in Secrets Manager, enable CloudTrail auditing, and troubleshoot real AccessDenied failures using policy evaluation logic.
Logistics & Supply Chain | Event-Driven File Validation Pipeline
Implement a serverless validation pipeline where shipment files landing in S3 trigger EventBridge, invoke a Lambda validator and drive a Step Functions workflow. Reject and quarantine malformed records, apply idempotency and correlation IDs, retry transient failures with backoff, and alert operations teams through SNS notifications.
SaaS & Product Analytics | Redshift Star Schema with dbt
Design and load a subscription analytics star schema in Amazon Redshift with conformed dimensions, surrogate keys and SCD Type 2 history. Choose distribution styles and sort keys deliberately, prove improvements using EXPLAIN plans, then build, document and test incremental dbt models with source freshness checks.
Travel & Hospitality | API-to-Lake Ingestion Utility
Build a parameterised Python and boto3 ingestion utility that pulls paginated booking data from a REST API, handles rate limits, retries with exponential backoff and checkpoints progress. Store credentials in Secrets Manager, write partitioned output to S3, add structured logging, and automate provisioning and cleanup through AWS CLI scripts.
Manufacturing & IoT | Glue Data Quality & Quarantine Framework
Create a governed sensor-data zone using AWS Glue crawlers, partition indexes and schema versioning. Author DQDL rules in AWS Glue Data Quality to check completeness, ranges and referential integrity, quarantine failing records into a separate prefix, publish quality metrics to CloudWatch and control access with Lake Formation LF-Tags.
Advanced Capstone Projects
Retail & E-Commerce | End-to-End Batch Lakehouse Platform
Build a complete batch lakehouse that ingests relational and API data into Amazon S3, catalogues it with Glue and Lake Formation, and transforms it using Glue PySpark jobs into Apache Iceberg tables with ACID guarantees, time travel and schema evolution. Enforce Glue Data Quality gates, serve analytics through Athena, publish CloudWatch metrics and deploy the whole stack with Terraform.
Insurance & BFSI | CDC-to-Warehouse Analytics Platform
Perform full load plus change data capture from an operational PostgreSQL or MySQL database using AWS DMS. Preserve change ordering, deduplicate records and resolve late-arriving data, then build SCD Type 2 dimensions and fact tables with Glue PySpark. Serve the curated model in Amazon Redshift with dbt transformations, orchestrated end to end on Airflow and Amazon MWAA.
Media & Consumer Apps | Real-Time Streaming Intelligence Platform
Process customer and clickstream events in near real time using Amazon MSK or Kinesis Data Streams. Enforce schema contracts through Glue Schema Registry, enrich events with Lambda and Glue streaming jobs, and deliver curated results to S3 and Redshift. Handle partition keys, delivery semantics, replay scenarios and dead-letter queue recovery under failure.
Enterprise Data Platform | Production MWAA Orchestration
Build a metadata-driven Amazon MWAA framework that generates DAGs from configuration, launches multiple Glue and EMR jobs, runs data-quality gates and supports safe backfills with dynamic task mapping. Add Secrets Manager backends, CloudWatch alarms, SNS failure alerts, DAG unit tests and CI/CD promotion across DEV, UAT and PROD.
Healthcare & Life Sciences | Governed Clinical Data Lakehouse
Design a compliance-focused clinical data platform with PII classification, column and row-level controls and KMS encryption throughout. Ingest EHR extracts and lab feeds into S3, transform with Glue PySpark into governed Iceberg tables, apply Lake Formation LF-Tag permissions with cross-account sharing, and evidence auditability using CloudTrail, Macie and retention policies.
Telecom & Subscription | Serverless Event-Driven Analytics Platform
Build a fully serverless usage-analytics platform where EventBridge, Lambda and Step Functions Distributed Map orchestrate high-volume billing and usage events. Apply idempotency and saga compensation for failed batches, land curated data in S3 and Redshift Serverless, and control spend with tagging, budgets, Athena scan limits and right-sized Glue jobs.
Trusted By Learners
“At IntelliBi Innovations Technologies, the Data Analyst course focused on Microsoft Azure and Power BI . The program is well-designed, providing a solid understanding of cloud-based analytics. Through hands-on Power BI training, practical skills are sharpened, and with Azure services,Python, PySpark, and SQL included, participants are well-prepared for real-world challenges. I highly recommend it for anyone looking to succeed in data analytics with Microsoft technologies.”
“IntelliBI's teaching and mentor support boosted my confidence in interviews. Their structured learning made my prep more effective.”
“I work as a finance analyst in Hinjewadi and joined the Power BI course to improve reporting skills. The course was practical, project-oriented, and easy to follow. The trainer explained every topic with business examples. After completing the training, I received a better opportunity and now work extensively with Power BI dashboards. ”
Tools & Technologies You'll Master
Feature
Curriculum depth
Orchestration
Infrastructure & DevOps
Streaming & CDC
Lakehouse formats
Projects
Trainers
Interview prep
Placement
IntelliBI
14 modules, 160+ topics, 220+ guided + 180+ lab hours
Production Airflow/MWAA with testing, CI and troubleshooting
AWS CLI, boto3, Terraform, Docker, CI/CD, observability, FinOps
Kafka/MSK, Kinesis, AWS DMS with replay & DLQ
Apache Iceberg, Hudi, Delta Lake hands-on
4 capstones with IaC, monitoring, runbooks & architecture reviews
Working AWS data engineers with 15+ years' experience
300+ questions, mock rounds, system-design & project storytelling
placement until you're placed, 800+ hiring companies
OTHERS
6–8 modules of console walkthroughs
Basic scheduling only
Console-only, no IaC
Batch-only or theory
Not covered
1 demo project
Freelance trainers
Resume template only
Fixed 3-month support
Premium Certification
AWS Certified Data Engineer
Earn the AWS Certified Data Engineer – Associate (DEA-C01) certification and validate your expertise in data pipelines, AWS Glue, Redshift, Kinesis, EMR, and secure, scalable data lake design. IntelliBI's industry-aligned training prepares you with hands-on projects and includes an AWS DEA-C01 Certification Exam Voucher (as per the selected course package).
Exam Name
AWS Certified Data Engineer – Associate (DEA-C01)
Cost
₹5000 INR+GST
$150 USD+GST
Level
Associate
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IntelliBI Has Helped Build 2200+ Careers
Shubham Kale
Data Analyst · clover infotech
"When I visited IntelliBI, it became clear in my mind about the full roadmap of data analytics and how real-time projects look. Classes were conducted according to their roadmap; in it there were some mock interviews. Later, I was provided with basic to advanced knowledge about courses and real-time projects. I thank the entire IntelliBi team. and thank you for this opportunity "
Vishnu Mali
Data Analyst . Datafortune
"After spending four years in IT Support, I wanted a career with better growth and technical exposure. IntelliBI's Data Analyst Course in Pune helped me master Azure, Databricks, and real-world data engineering through hands-on projects, expert mentorship, and placement support. Today, I work as a Data Analyst , building production-grade data pipelines with confidence and making architecture decisions that drive business value."
Sonali Bhagat
Data engineer . NewVision
"As a Web Developer, I wanted a career with greater growth and opportunities in cloud technologies. IntelliBI's Data Engineering Course in Pune provided hands-on Azure, Databricks, and real-world data pipeline projects, along with expert mentorship and placement support. Today, I work as a Data Engineer, building scalable cloud data solutions and confidently driving enterprise data engineering initiatives with a future-ready career path."
Have Questions About Our AWS Data Engineer Course in Pune?
9+ Years of Training Excellence in AI, Data
2200+
Careers Transformed
₹15–40 LPA
Typical Salary Range After Upskilling
95%+
Learner Satisfaction Rate
9+ Years
Years of Industry-Led Training
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Built for Working Professionals
Weekend batches, flexible timing, 6-month format designed around your job
Real Industry AI Projects
10+ production-grade projects — not toy demos. Build enterprise-level systems
Senior AI & Data Engineers as Mentors
8–15 years industry experience at top MNCs — Google, Amazon, Microsoft
Placement Until You're Placed
No time limit. Dedicated placement team. 300+ hiring companies network
GitHub Portfolio That Gets Interviews
Architecture diagrams, README files and operational runbooks for all 4 capstones.
Frequently Asked Questions
AWS Data Engineer
Which is the Best AWS Course in Pune?
Finding the Best AWS Course in Pune means looking beyond certifications and choosing a program that emphasizes practical cloud implementation. A comprehensive course should cover Amazon S3, EC2, IAM, VPC, AWS Glue, Redshift, EMR, Lambda, Athena, and real-world cloud projects. IntelliBI's AWS Course in Pune is designed around enterprise use cases, helping learners gain practical cloud skills that employers actively seek.
Why should I choose IntelliBI for AWS Training in Pune?
A quality AWS Training in Pune should prepare learners for real industry challenges rather than only certification exams. IntelliBI offers 99.99% practical learning through live cloud labs, enterprise projects, experienced mentors, career guidance, resume building, LinkedIn optimization, mock interviews, and placement assistance. This practical approach helps learners confidently work on production-level AWS environments.
Who can join the AWS Course in Pune?
The AWS Course in Pune is suitable for freshers, software developers, support engineers, system administrators, network engineers, DevOps professionals, Data Engineers, cloud enthusiasts, and working professionals planning a career transition into Cloud Computing. The course starts from cloud fundamentals before progressing to advanced AWS services.
What will I learn in the AWS Cloud Course in Pune?
A complete AWS Cloud Course in Pune covers AWS Global Infrastructure, IAM, EC2, S3, VPC, EBS, Lambda, CloudWatch, Glue, Athena, EMR, Redshift, Kinesis, Data Lakes, serverless architecture, monitoring, security, and cloud deployment. Learners also work on enterprise projects to understand how AWS is used in real business environments.
What makes the AWS Data Engineering Course different from a regular AWS course?
A traditional AWS course focuses mainly on cloud infrastructure, whereas an AWS Data Engineering Course teaches learners how to build cloud-native ETL pipelines, Data Lakes, analytics platforms, and scalable data processing systems. Students gain practical experience with AWS Glue, Amazon Redshift, EMR, Athena, and modern data engineering workflows.
Is the AWS Data Engineer Course in Pune suitable for beginners?
Yes. The AWS Data Engineer Course in Pune is designed for both beginners and experienced professionals. The learning path starts with AWS Cloud fundamentals before moving to data engineering concepts such as ETL development, Data Lakes, cloud storage, and large-scale data processing using AWS services.
Does the AWS Course in Pune include real-time projects?
Absolutely. Practical learning is one of the biggest advantages of IntelliBI's AWS Course in Pune. Learners build enterprise-level cloud projects including Data Lakes, ETL pipelines, cloud-based analytics platforms, serverless applications, and production-ready AWS architectures using industry-standard tools.
How are AWS Classes in Pune different from online tutorials?
Online tutorials often explain AWS services individually without showing how they work together in enterprise environments. Professional AWS Classes in Pune provide structured learning, mentor guidance, cloud labs, real-world projects, architecture design, troubleshooting, and interview preparation that help learners develop practical cloud expertise.
Is this AWS Certification Course in Pune worth it?
Yes. An AWS Certification Course in Pune becomes valuable when certification preparation is combined with practical implementation. Employers prefer candidates who can deploy cloud solutions, automate workflows, and solve business problems using AWS rather than simply passing certification exams.
Are AWS Cloud Training in Pune programs suitable for working professionals?
Yes. Our AWS Cloud Training in Pune is specifically designed for working professionals with flexible weekday, weekend, and online learning options. Learners can upgrade their cloud skills while continuing their current jobs and applying concepts to real projects.
What career opportunities are available after completing the AWS Data Engineer Course in Pune?
After completing the AWS Data Engineer Course in Pune, learners can apply for roles such as AWS Cloud Engineer, AWS Data Engineer, Cloud Solutions Engineer, DevOps Engineer, Big Data Engineer, ETL Developer, Cloud Architect, Data Platform Engineer, and Analytics Engineer. These roles continue to see strong demand as organizations expand their cloud infrastructure.
Do I need programming knowledge before joining the AWS Course?
No advanced programming knowledge is required. The AWS Course in Pune begins with cloud fundamentals before introducing services like EC2, S3, IAM, networking, and storage. As the course progresses, learners gain practical exposure to AWS Glue, Redshift, Lambda, Python, and cloud automation.
Will I receive placement assistance after completing the AWS Course in Pune?
Yes. IntelliBI provides complete career support including resume building, LinkedIn profile optimization, mock interviews, technical interview preparation, career mentoring, and placement assistance. These services help learners confidently prepare for cloud engineering opportunities after completing their training.
How do I find the best AWS Classes Near Me?
When searching for AWS Classes Near Me, compare institutes based on curriculum, practical labs, mentor experience, enterprise projects, placement support, and student outcomes instead of choosing only by fees. A program that offers hands-on cloud implementation and real business projects provides significantly better career value than theory-based training alone.
Why do working professionals recommend IntelliBI for AWS Training in Pune?
Working professionals choose IntelliBI because of its industry-oriented curriculum, enterprise cloud projects, AWS Data Engineering specialization, flexible schedules, experienced mentors, lifetime LMS access, and dedicated placement support. Instead of focusing only on theory, IntelliBI emphasizes practical cloud implementation, making it one of the preferred choices for learners looking for the Best AWS Course in Pune and long-term career growth in Cloud Computing.
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Choose Your Learning Path
Live Online
Instructor-Led Training
Real-time AWS training with working data engineers
Live sessions with AWS-certified, working data engineers
Live doubt resolution & interactive Q&A after every class
Weekday & weekend batch options
Batch size 15–20 for personalised code reviews
Group capstone collaboration with peers
Course completion certificate + DEA-C01 mapping
Placement until you're placed
Mon–Fri 7PM–9PM | Sat–Sun 10AM–2PM
Next batch starting soon — limited seats
SELF-PACED
Recorded Self-Paced
Learn at your own schedule, anytime anywhere
Full HD recordings of the same industry mentors
Lifetime access to all 14 modules & future updates
Pause, rewatch and learn at your own pace
Community forum for doubt resolution
Same labs, assignments and 4 capstone projects
Mentor support via chat within 24 hours
Course completion certificate
Start anytime, learn on your schedule
Lifetime access with free updates
