Kavita s AWS, DevOps, Python
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Welcome to my online classroom! My name is Kavita and I am a passionate educator who is dedicated to helping students of all skill levels to master AWS, Python, and Data Structures in Python. With 20+ years of experience in the field, I have developed a deep understanding of these subjects and am committed to sharing my knowledge with others.

With my extensive background in AWS and DevOps, I am able to provide a wealth of knowledge and guidance on various topics, including cloud architecture, serverless computing, containerization, automation, security, and scalability.

Working with students and fostering their learning process is a joy for me as an educator. I am committed to facilitating their development and making lessons both enjoyable and informative, allowing them to excel in their studies.

I strongly believe that every question, no matter how seemingly insignificant, holds the potential to unlock new avenues for learning. I encourage my students to ask questions freely and without reservation, recognizing that these queries can often lead to new insights and perspectives.

Subjects

AWS (Amazon Web Services) Beginner-Expert
DevOps - AWS - Jenkins, GIT, Puppet, Ansible, Terraform, Docker Beginner-Expert
Basic Python programming Beginner-Expert
Advanced Python Programming Beginner-Expert

Experience

No experience mentioned.

Education

M.Tech. (Jul, 2004–Jun, 2007) from GGSIPU New Delhi

Fee details

₹600–2,000/hour (US$7.07–23.58/hour)

Courses offered

AWS (Amazon Web Services)
- ₹20000
- Duration: 40 Hours
- Delivery mode: Online
- Group size: Individual
- Instruction language: English
- Certificate provided: No
1. Introduction to Cloud Computing: This module would provide an overview of cloud computing and its benefits, along with a comparison between cloud and traditional on-premises computing.
2. AWS Fundamentals: This module would introduce the various services and products offered by AWS, including EC2 (Elastic Compute Cloud), S3 (Simple Storage Service), RDS (Relational Database Service), and others.
3. AWS Architecture: This module would cover the architecture of AWS, including regions, availability zones, and virtual private clouds.
4. IAM (Identity and Access Management): This module would explain how to manage user accounts, permissions, and security within the AWS environment.
5. Security and Compliance: This module would cover the security and compliance features of AWS, including encryption, compliance certifications, and best practices for securing AWS resources.
6. AWS Compute Services: This module would provide an in-depth overview of EC2 and other compute services, including Lambda, Elastic Beanstalk, and Elastic Container Service.
7. AWS Storage Services: This module would cover the various storage services offered by AWS, including S3, EBS (Elastic Block Store), and Glacier.
8. AWS Networking: This module would cover the various networking services offered by AWS, including Virtual Private Cloud (VPC), Route 53 (DNS), and Elastic Load Balancing.
9. AWS Database Services: This module would cover the various database services offered by AWS, including RDS, DynamoDB, and Aurora.
10. Deployment and Management: This module would cover how to deploy and manage applications and services on AWS, including best practices for scaling and monitoring.
11. Cost Optimization: This module would provide an overview of how to optimize costs when using AWS, including understanding pricing models, cost allocation, and cost-saving strategies.
Terraform
- ₹18000
- Duration: 36 Hours
- Delivery mode: Online
- Group size: Individual
- Instruction language: English
- Certificate provided: No
1. Introduction to Terraform: An overview of what Terraform is, how it works, and its benefits.
2. Infrastructure as Code (IaC): Understanding the concept of IaC and how it relates to Terraform.
3. Setting up the Environment: Installing Terraform and setting up the environment, including providers and variables.
4. Configuration Files: An overview of Terraform configuration files and how they work.
5. Provisioning Infrastructure: Creating infrastructure resources in the cloud using Terraform, including compute resources, storage, network, and security resources.
6. Managing Infrastructure: Updating, deleting, and scaling infrastructure resources using Terraform.
7. Managing State: Understanding the importance of state management in Terraform and how to use the state file.
8. Best Practices: Tips and best practices for writing clean and reusable Terraform code, including using modules and variables.
9. Integrating with Cloud Providers: Integrating Terraform with various cloud providers, such as AWS, Azure, and Google Cloud.
10. Real-world Examples: Real-world examples and use cases of Terraform for managing cloud infrastructure.

The course includes hands-on exercises and labs, allowing students to apply what they have learned to practical scenarios.
Getting Started with AWS
- ₹5000
- Duration: 10 Hours
- Delivery mode: Online
- Group size: Individual
- Instruction language: English
- Certificate provided: No
1. Introduction to Cloud Computing and AWS. IaaS, PaaS, SaaS.
2. Compute Services in AWS: Elastic Compute Cloud (EC2), AWS Lambda, AWS Elastic Beanstalk
3. Storage Services: S3, Elastic Block Storage, EFS
4. VPC
5. Identity and Access Management (IAM)
6. AWS Auto Scaling and Load Balancers
7. Database Services: RDS, DynamoDB, AWS RedShift
Rapid Web Development with the MEAN Stack
- ₹10999
- Duration: 20 Hours
- Delivery mode: Flexible as per the student
- Group size: 5
- Instruction language: English
- Certificate provided: Yes
This short-term course offers a comprehensive overview of building dynamic web applications using the MEAN stack - MongoDB, Express.js, Angular, and Node.js. The MEAN stack is a powerful combination of technologies for creating modern, full-stack web applications.
Course Outline:

1. Introduction to the MEAN Stack:
Overview of MongoDB, Express.js, Angular, and Node.js
Advantages of using the MEAN stack for web development
2. Setting Up Your Development Environment:
Installing Node.js and npm
Setting up MongoDB
3. Creating a basic Express.js server
Building a RESTful API with Express.js:
Handling HTTP requests
Routing and middleware
Integrating MongoDB with Mongoose for data storage
4. Frontend Development with Angular:
Introduction to Angular architecture
Components, modules, and services
Consuming RESTful APIs in Angular
5. Integrating Angular with Express.js:
Setting up Angular routing
Creating views and templates
Implementing user authentication and authorization
6. Real-time Communication with WebSockets:
Introduction to WebSockets
Using Socket.IO with Node.js and Express.js
Building real-time features in your application
7. Deployment and Hosting:
Configuring your application for production
Deploying your MEAN stack application to cloud platforms like Heroku or AWS
Managing and scaling your application in a production environment