Aditya - Technology tutor - New York
1st lesson free
Aditya - Technology tutor - New York

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Aditya

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Aditya - Technology tutor - New York
  • 5 (1 review)

R419/h

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AWS Solution Architect | AWS Certified | Help you gain exposure to cloud engineer

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About Aditya

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AWS Solution Architect | AWS Certified | Help you gain exposure to cloud engineer
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At your home

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Levels
All levels

Languages and countries
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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+ ₹0

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 lesson

  • Primary
  • Secondary
  • Matric/GCSE
  • +7
  • levels :

    Primary

    Secondary

    Matric/GCSE

    AS Level

    A Level

    BTech

    Adult education

    Masters

    Doctorate

    MBA

  • English

Languages in which the lesson 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

Rates

Rate

  • R419

Package rates

  • 5h: R2095
  • 10h: R4190

online

  • R419/h

free lesson

The free first lesson with Aditya allows you to get to know the tutor and discuss your needs and expectations.

  • 1h

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