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The Python & Machine Learning Online Course by Vandana Shivaji Borate is a comprehensive program designed to help learners build strong programming foundations and advance toward real-world application development and data-driven solutions.

This course covers basic to advanced Python concepts, along with Machine Learning fundamentals, MySQL database management, HTML5, CSS3, and essential supporting technologies like Linux and Shell Scripting. It is ideal for students, aspiring developers, and professionals who want to gain full-stack programming knowledge combined with analytical and machine learning skills.

Delivered in online mode, the course focuses on practical implementation, logical thinking, and hands-on exercises.

What Students Will Learn

Core & Advanced Python Programming

Python basics: variables, data types, operators
Control statements and loops
Functions and modular programming
Object-Oriented Programming (OOP) concepts
File handling and exception handling
Advanced Python concepts
Practical coding exercises
Full Python programming workflow

Machine Learning Fundamentals

Introduction to Machine Learning
Understanding datasets and preprocessing basics
Data analysis using aggregation functions
Basic ML concepts and workflow
Implementing simple ML models using Python

Data Analysis & SQL

SQL fundamentals
Writing queries and using aggregation functions
Working with MySQL databases
Data retrieval and manipulation
Connecting Python with MySQL

Web Development (HTML5 & CSS3)

HTML5 structure and elements
Forms, tables, and layouts
CSS3 styling and design principles
Building responsive web pages
Integrating backend logic with Flask (basic introduction)

Supporting Technologies

Linux basics
Shell Scripting fundamentals
Basic and Advanced Excel concepts for data handling

This multi-technology approach ensures learners gain practical exposure across programming, databases, web development, and machine learning.

Teaching Method

The course is conducted in online live sessions with a strong emphasis on practical implementation.

Teaching includes:

Step-by-step concept explanation
Live coding demonstrations
Hands-on programming assignments
Real-time database practice
Mini projects integrating Python, MySQL, and web development
Interactive doubt-solving sessions

The goal is to help students not just learn syntax but understand real-world application flow.

Why This Tutor

Vandana Shivaji Borate offers a structured learning experience covering multiple interconnected technologies. The course is designed to provide both programming depth and applied knowledge across Python, Machine Learning, databases, and frontend development.

Benefits / Outcomes

By completing this course, learners will:

Develop strong fundamentals in Python programming
Understand core Machine Learning concepts
Build database-driven applications using MySQL
Create web pages using HTML5 and CSS3
Improve analytical and logical thinking
Gain multi-skill exposure valuable for IT and tech careers

This course is suitable for beginners starting from scratch as well as learners looking to advance their Python and Machine Learning skills.

da:T461,

Certified Python and Machine Learning Developer with 3 years of experience in the software industry, specializing in backend development, automation, and data processing. Proficient in Python, Flask, Shell Scripting, HTML5, CSS3, MySQL, and Excel, Pandas, NumPy, Selenium, and Beautiful Soup, Machine Learning etc.

 Experienced in developing and maintaining backend systems using Python and Flask, resulting in improved performance and scalability. Successfully built RESTful APIs with full CRUD functionality and tested endpoints using Postman.

 Developed custom automation scripts to streamline repetitive tasks, and integrated them with Cron jobs to

enable scheduled execution, significantly reducing manual intervention.

 Maintained Bash shell scripts for monitoring, software installation, and other administrative tasks.

 Skilled in web scraping, data extraction, and data cleaning techniques.

 Passionate about scripting and automation, with a strong foundation in data analysis using Pandas and cloud

technologies such as AWS Lambda and EC2.

db:T1cee,

The AWS & DevOps Engineer Training course is a comprehensive program designed for students, IT professionals, and aspiring cloud engineers who want to master Linux, cloud platforms, DevOps practices, and container orchestration. This course equips learners with the essential skills required to design, deploy, and manage modern cloud-based and DevOps-driven infrastructure.

Delivered online, the program combines theoretical knowledge with hands-on exercises, covering Linux administration, AWS and Azure cloud services, Docker, Kubernetes, CI/CD pipelines, GitHub Actions, and DevOps principles. By the end of the course, students will have practical expertise to work as cloud and DevOps engineers in real-world projects.

What Students Will Learn

Linux Basics

Introduction to Linux
Linux architecture
Linux distributions
File system structure
Basic commands

File and Directory Management

pwd, ls, cd
mkdir, rmdir
cp, mv, rm
touch
find and locate

User and Group Management

useradd, userdel
groupadd, groupdel
passwd
/etc/passwd and /etc/shadow
Sudo access

File Permissions

Read, write, execute
chmod
chown
chgrp
Numeric and symbolic permissions

Process Management

ps
top
kill
nice and renice
Background and foreground processes

Package Management

yum
dnf
apt
rpm
Installing and removing packages

Disk and Storage Management

df
du
mount and umount
fdisk
LVM basics

Networking in Linux

ifconfig and ip command
netstat
ss
ping
traceroute
SSH

Shell Scripting

Variables
Input and output
Conditional statements
Loops
Functions
Script execution

Log Management

/var/log directory
syslog
journalctl
Log rotation

Crontab and Scheduling

Crontab syntax
Scheduling jobs
at command

AWS

AWS Global Infrastructure
IAM (Users, Roles, Policies)
EC2 and AMI
Auto Scaling and Load Balancer
VPC, Subnets, Route Tables
Internet Gateway and NAT Gateway
Security Groups and NACL
S3, EBS, EFS
RDS and DynamoDB
CloudWatch and CloudTrail
Route 53
Lambda basics
Backup and disaster recovery

Azure

Azure Architecture and Regions
Azure Virtual Machines
Azure Virtual Network
Subnets and NSG
Azure Storage Accounts
Azure App Services
Azure Load Balancer
Azure SQL Database
Azure Active Directory
Azure Monitor
Azure DevOps basics

DevOps

DevOps lifecycle
CI/CD concepts
Agile and Scrum basics
Version control system
Continuous Integration
Continuous Deployment
Infrastructure as Code
Configuration management
Monitoring and logging
Deployment strategies

GitHub

Repository management
Branching and merging
Pull requests
Merge conflicts
Tags and releases
GitHub permissions
Webhooks

GitHub Actions

Workflow structure
YAML syntax
Events and triggers
Jobs and steps
Runners
Secrets management
Build and test automation
Deployment pipelines

Docker

Container concept
Docker architecture
Docker installation
Dockerfile creation
Image building
Container management
Docker networking
Docker volumes
Docker Compose
Docker registry

Kubernetes

Kubernetes architecture
Cluster setup
Pods
ReplicaSet
Deployment
StatefulSet
Services (ClusterIP, NodePort, LoadBalancer)
Ingress
ConfigMap and Secrets
Namespace
RBAC
Helm
Horizontal Pod Autoscaler
Rolling updates and rollback

Teaching Method

The course is conducted through interactive online sessions, blending lectures, live demos, and hands-on labs. Key teaching approaches include:

• Step-by-step demonstrations for Linux, cloud, Docker, Kubernetes, and DevOps workflows
• Hands-on exercises with real-world scenarios and cloud environments
• Mini-projects for practice in AWS, Azure, containerization, and CI/CD pipelines
• Personalized guidance, progress tracking, and doubt-clearing sessions

Students actively build infrastructure, deploy applications, and automate workflows to gain practical experience.

Why This Course

This training provides a complete end-to-end DevOps and cloud engineering curriculum. Learners gain practical experience with Linux administration, AWS and Azure services, Docker, Kubernetes, CI/CD pipelines, and GitHub Actions, preparing them for industry roles in cloud computing and DevOps.

Benefits and Outcomes

By completing this course, students will:

• Gain proficiency in Linux, cloud platforms (AWS & Azure), and DevOps tools
• Build, deploy, and manage applications using Docker and Kubernetes
• Implement CI/CD pipelines using GitHub Actions
• Understand DevOps lifecycle, best practices, and monitoring techniques
• Prepare for professional roles as AWS & DevOps engineers
• Develop real-world project experience and hands-on technical skills

This course equips learners with both theoretical knowledge and practical expertise, making them industry-ready for cloud and DevOps roles.

dc:T533,

Ashatai Shankar Jagtap is a multi-disciplinary tutor with 1.5 years of teaching experience, offering expert guidance in DevOps, cloud computing, Linux administration, and advanced statistics. Her unique blend of IT infrastructure skills and strong statistical foundations helps students gain both technical and analytical confidence.

Based in Sector 16, Pune, Ashatai provides online classes, supporting learners across India with structured and concept-focused sessions.

Qualifications Summary

M.Sc.
B.Sc.
Polytechnic Diploma

Her academic background strengthens her ability to teach both applied technology and theoretical statistics with clarity and depth.

Experience Overview

With 1.5 years of focused teaching experience, Ashatai has guided:

Students learning DevOps and cloud fundamentals
Learners working with Linux systems and automation
Students studying probability, statistics, and hypothesis testing
BBA and science students handling advanced statistical theory

dd:Tb66,

Master Linux & AWS Cloud Computing - Beginner to Intermediate

Course Overview

Are you looking to start your career in Linux, Cloud Computing, or AWS?

This course is designed for complete beginners who want to learn Linux and AWS Cloud Computing from scratch through practical, hands-on sessions.

You will learn Linux fundamentals, essential Linux commands, Cloud Computing concepts, AWS fundamentals, and AWS EC2 services with real-time demonstrations and practical exercises.

No prior Linux or Cloud experience is required.

What You Will Learn

Linux Fundamentals

Introduction to Linux
Linux Architecture
Linux Distributions
Kernel and Shell Concepts
CLI vs GUI
Linux Terminal Basics

Linux Commands

System Commands
Hardware Commands
File Commands
Folder Commands
Search Commands
User & Group Management
Copy & Move Commands
Vim Editor

Cloud Computing

What is Cloud Computing
On-Premises vs Cloud
Cloud Service Models (IaaS, PaaS, SaaS)
Deployment Models
Public Cloud
Private Cloud
Hybrid Cloud
Community Cloud

AWS Cloud Services

AWS Introduction
Why AWS
AWS Global Infrastructure
Regions and Availability Zones
AWS Pricing Model
AWS EC2 Introduction
Launching EC2 Instances
Connecting to EC2 Instances
EC2 Modifications

Hands-On Sessions

Linux Practical Commands
File and Folder Operations
User Management
AWS Account Walkthrough
EC2 Instance Creation
Connecting to Linux Servers
Practical Exercises and Assignments

Course Highlights

Beginner Friendly
Step-by-Step Learning
Practical Demonstrations
Real-Time Hands-On Sessions
Notes and Study Materials
Interview-Oriented Concepts
Doubt Clarification Support

Who Can Join?

Students and Freshers
IT Professionals
System Administrators
Cloud Beginners
Anyone Interested in Linux and AWS

Prerequisites

No prior experience is required.

Basic computer knowledge and willingness to learn are sufficient.

Start your Cloud Journey today and build a strong foundation in Linux and AWS Cloud Computing.

de:T667,

What You Will Learn

This course covers the fundamentals and advanced topics in cloud computing, DevOps, and related tools. You will learn how to effectively use major cloud platforms like AWS and Azure.

Core Topics:

Introduction to Cloud Computing
Overview of AWS and Azure
DevOps Principles and Practices
Continuous Integration and Continuous Deployment (CI/CD)
Infrastructure as Code (IaC)
Containerization and Orchestration
Monitoring and Logging

Each topic is explained step by step, making it easy to grasp.

Skills Practiced:

Setting up and managing AWS services like EC2, S3, and RDS
Implementing CI/CD pipelines using tools like Jenkins and GitHub
Using Docker for containerization and Kubernetes for orchestration
Writing Infrastructure as Code with Terraform and Ansible
Performing monitoring with tools like Grafana and CloudWatch

You will also engage in hands-on projects to apply what you learn.

Tools and Techniques Covered:

Amazon Web Services (AWS)
Azure DevOps
Jenkins, Git, and GitHub
Docker and Kubernetes
Terraform and Ansible
Monitoring tools like Grafana and Prometheus

The course is structured to take you from basic concepts to advanced practices, ensuring a comprehensive understanding of cloud computing and DevOps.

df:T4db,

AWS DevOps Engineer with 6+ years of hands-on experience in automating, deploying, and managing cloud-native applications. Expertise in CI/CD pipelines, Infrastructure as Code (IaC), containerization, monitoring, and GitOps. Proven ability to deliver scalable and secure solutions using a broad range of DevOps tools and AWS services.

AWS: EC2, S3, IAM, VPC, ELB, Auto Scaling, RDS, CloudWatch, EKS, ECS, Lambda.
DevOps: Jenkins, Git, GitHub, Maven, SonarQube, ArgoCD, CI/CD
Containers: Docker, Kubernetes (EKS), Helm
IaC & Automation: Terraform, Ansible
Scripting: Shell Scripting
Monitoring: Grafana, Nagios, CloudWatch, Prometheus
Databases: Oracle, PostgreSQL, MySQL, MongoDB
Operating Systems: Linux, Windows
Training: AWS, DevOps, Linux, Terraform, Docker, Kubernetes

Parameswara Rao is a dedicated tutor who focuses on making complex subjects clear and understandable. He teaches in English and Telugu, ensuring that students grasp concepts effectively. With a supportive teaching approach, he is committed to helping students succeed in their learning journey. His goal is to create a positive and engaging environment where students feel confident to ask questions and explore new ideas.

e0:T985,

What You Will Learn

This course covers essential Linux concepts and skills in a structured manner. You will start with the basics and gradually move to more advanced topics.

Understanding Linux: You will learn what an operating system is, what a kernel does, and the differences between various Linux distributions like Ubuntu and CentOS. Package managers such as APT and YUM will also be introduced.
Basic Linux Commands: You will practice using commands for navigation, file operations, viewing files, managing permissions, and searching for files.
File System & Permissions: The Linux directory structure will be explained. You will learn about absolute and relative paths, file permissions, and the differences between hard links and symbolic links.
User & Group Management: You will learn to create and delete users, manage passwords, and handle user groups. The concept of sudo and privilege management will also be covered.
Package & Software Management: You will learn to install, update, and manage software using APT and YUM/DNF. Working with repositories and installing software from source will be included.
System Administration Essentials: You will explore system services, log management, process management, scheduling tasks, and understand the boot process.
Networking Concepts: You will learn about IP addresses, DNS, and subnetting. Commands for network management and firewall basics will also be introduced.
Storage & Filesystems: You will learn about partitions, file systems, and how to mount and unmount drives. Basics of Logical Volume Management (LVM) and swap management will also be discussed.
Shell Scripting: You will learn the basics of Bash scripting, including variables, loops, and functions. You will also practice writing and debugging automation scripts.
Advanced Topics: The course will touch on system security, best practices for SSH, container basics with Docker, virtualization concepts, and monitoring tools. Troubleshooting and performance tuning will also be introduced.

This structured approach ensures a comprehensive understanding of Linux, from foundational concepts to advanced applications.

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Expert Shell Scripting Tutors in Jamshedpur

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