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Aditya
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AWS Solution Architect | AWS Certified | Help you gain exposure to cloud engineer
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AWS Solution Architect | AWS Certified | Help you gain exposure to cloud engineer
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English
Hindi
About youedit-ia
About Me
I am a Cloud and Data Engineering professional with hands-on experience in building scalable data solutions on Amazon Web Services (AWS). Currently working as an ETL and BI Developer at a leading financial services organization, I specialize in designing and optimizing data pipelines, working extensively with tools like AWS Glue, Athena, Lambda, and RDS.
My core expertise lies in transforming raw data into meaningful insights, enabling data-driven decision-making. I have practical experience in cloud architecture, data warehousing, and automation, along with a strong understanding of SQL, data modeling, and performance optimization.
I am passionate about teaching and simplifying complex cloud concepts into easy-to-understand, real-world applications. My teaching approach focuses on practical learning, industry use cases, and hands-on implementation, ensuring students not only understand concepts but can apply them confidently.
Whether you are a beginner exploring cloud computing or a professional aiming to upskill in AWS and data engineering, I aim to provide structured guidance, mentorship, and career-oriented learning.
About the classedit-ia
AWS Cloud & Data Engineering (Beginner to Advanced)
Overview:
Comprehensive training program designed to build strong expertise in Amazon Web Services (AWS), covering cloud fundamentals, architecture design, data engineering workflows, and real-world project implementation. Suitable for beginners as well as professionals aiming to transition into cloud or data-focused roles.
Course Modules:
1. Cloud Fundamentals
- Introduction to cloud computing
- AWS global infrastructure
- Core services overview (EC2, S3, IAM)
2. Compute & Storage
- EC2 setup and management
- Auto Scaling & Load Balancers
- S3, EBS, lifecycle policies
3. Networking & Security
- VPC, Subnets, Gateways
- Security Groups & NACLs
- IAM roles and policies
4. Database Services
- RDS (PostgreSQL/MySQL)
- DynamoDB basics
- Data migration concepts
5. Data Engineering on AWS
- AWS Glue (ETL pipelines)
- Amazon Athena (querying S3)
- Data lakes architecture
6. Serverless & Automation
- AWS Lambda
- Event-driven architecture (SNS, SQS)
- Step Functions basics
7. DevOps & Deployment
- CI/CD using CodePipeline & CodeBuild
- Infrastructure as Code (CloudFormation basics)
- Monitoring with CloudWatch
8. Real-World Projects
- End-to-end data pipeline project
- Serverless application deployment
- Cost optimization strategies
---
Key Highlights:
- Hands-on practical sessions
- Real-time industry use cases
- Resume & interview preparation
- Guidance for AWS certifications
- Doubt-solving and mentorship support
---
Duration: Flexible (30–60 hours depending on level)
Mode: Online
Level: Beginner to Advanced
--
Who Can Join:
- Students and freshers
- Working professionals (IT/Non-IT)
- Data analysts, developers, and engineers
---
Outcome:
- Strong understanding of AWS services
- Ability to design and deploy cloud solutions
- Readiness for AWS certifications and job roles
---
Contact for Enrollment:
(Provide your contact details here)
Price
Hourly fee
1h : 898₹
Packs
5h: ₹4490
10h: ₹8980
Webcam
₹0/hr
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Free class
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Aditya
4.5(2 review)
Hourly fee
898₹
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About you
About Me
I am a Cloud and Data Engineering professional with hands-on experience in building scalable data solutions on Amazon Web Services (AWS). Currently working as an ETL and BI Developer at a leading financial services organization, I specialize in designing and optimizing data pipelines, working extensively with tools like AWS Glue, Athena, Lambda, and RDS.
My core expertise lies in transforming raw data into meaningful insights, enabling data-driven decision-making. I have practical experience in cloud architecture, data warehousing, and automation, along with a strong understanding of SQL, data modeling, and performance optimization.
I am passionate about teaching and simplifying complex cloud concepts into easy-to-understand, real-world applications. My teaching approach focuses on practical learning, industry use cases, and hands-on implementation, ensuring students not only understand concepts but can apply them confidently.
Whether you are a beginner exploring cloud computing or a professional aiming to upskill in AWS and data engineering, I aim to provide structured guidance, mentorship, and career-oriented learning.
Tips
You're the expert - prove it! Tell your students who you are and why you want to teach. But, be honest, there's nothing dreadful for a student to find out that you're not genuine! Not everyone is looking for a PhD :)
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About the class
- Classes 1 to 5
- Classes 6 to 8
- Class 10
- +9
levels :
Classes 1 to 5
Classes 6 to 8
Class 10
Classes 11 & 12
Class 12
BTech
Class 11
Adult Literacy
Masters
PhD
MBA
Kindergarten (LKG, UKG)
- English
All languages in which the class is available :
English
AWS Cloud & Data Engineering (Beginner to Advanced)
Overview:
Comprehensive training program designed to build strong expertise in Amazon Web Services (AWS), covering cloud fundamentals, architecture design, data engineering workflows, and real-world project implementation. Suitable for beginners as well as professionals aiming to transition into cloud or data-focused roles.
Course Modules:
1. Cloud Fundamentals
- Introduction to cloud computing
- AWS global infrastructure
- Core services overview (EC2, S3, IAM)
2. Compute & Storage
- EC2 setup and management
- Auto Scaling & Load Balancers
- S3, EBS, lifecycle policies
3. Networking & Security
- VPC, Subnets, Gateways
- Security Groups & NACLs
- IAM roles and policies
4. Database Services
- RDS (PostgreSQL/MySQL)
- DynamoDB basics
- Data migration concepts
5. Data Engineering on AWS
- AWS Glue (ETL pipelines)
- Amazon Athena (querying S3)
- Data lakes architecture
6. Serverless & Automation
- AWS Lambda
- Event-driven architecture (SNS, SQS)
- Step Functions basics
7. DevOps & Deployment
- CI/CD using CodePipeline & CodeBuild
- Infrastructure as Code (CloudFormation basics)
- Monitoring with CloudWatch
8. Real-World Projects
- End-to-end data pipeline project
- Serverless application deployment
- Cost optimization strategies
---
Key Highlights:
- Hands-on practical sessions
- Real-time industry use cases
- Resume & interview preparation
- Guidance for AWS certifications
- Doubt-solving and mentorship support
---
Duration: Flexible (30–60 hours depending on level)
Mode: Online
Level: Beginner to Advanced
--
Who Can Join:
- Students and freshers
- Working professionals (IT/Non-IT)
- Data analysts, developers, and engineers
---
Outcome:
- Strong understanding of AWS services
- Ability to design and deploy cloud solutions
- Readiness for AWS certifications and job roles
---
Contact for Enrollment:
(Provide your contact details here)
See more
Recommendations
Recommendations come from relatives, friends and acquaintances of the teacher
1
Aditya is an excellent Power BI mentor who explains concepts in a very practical and easy-to-understand way. His teaching style is structured, patient, and focused on real-world applications rather than just theory. Whether it’s dashboards, DAX, data modeling, or visualization, he makes even complex topics feel approachable.
What really stands out is how supportive and detail-oriented he is during sessions. He adapts according to the student’s pace and ensures every doubt is cleared properly.
What I admire most about him is that he actually cares about his students improving and growing confidently. His classes feel less like boring lectures and more like learning from a friend who truly wants you to do well. He brings a lot of positivity, encouragement, and practical knowledge into every session.
If you want someone who is skilled, approachable, motivating, and genuinely passionate about teaching Power BI, I’d wholeheartedly recommend Aditya.View more recommendations
See more
Rates
Rate
- ₹2,400
Pack prices
- 5h: ₹10
- 10h: ₹20
online
- ₹2,400/hr
free classes
This first free class with Aditya will allow you to get to know each other and to specify the exact learning requirements for the upcoming classes.
- 1hr
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