Course Name: DEVOPS BOOTCAMP

Course Duration: 160 Hours

About This Course:

Part 1: Programming Language: Python

Part 2: OS: Linux

Part 3: Git

Part 4: REST API With Python

Part 5: Data Science With Python

Part 6: Network Automation With Python

Part 7: Machine Learning & Deep Learning With Python

Part 8: Robotic Process Automation With Python

Part 9 Docker

Part 10: Ansible

Part 11: Container Orchestration with Kubernetes

Part 12: DevSecOps

Course Index:

Course Introduction:

-Course Index

- Evolution of IT

-What is DevOps?

-Development

-GitOps

-NetDevOps

-DevSecOPs

-DataOps

-MLOps

-ITOps

-Quality Assurance

-AIOps

-Cloud

-Cloud Security

Part 1: Programming Language: Python

Module 1: Language Overview

> Why Python is popular on many areas?

> Big Data and Database Management

> Data Science and Analysis

> Machine Learning (ML:

> Artificial Intelligence (AI:

> Network Programming and System Automation

Module 2: Standard Data Types

> The Python Standard Library

> Built-in Functions and Modulees

> Basic Operators and Type Casting

> Numeric Data Types and Functions

> String Data Type and Functions

Module 3: Flow Control,

> if-else

> For loop

> While loop

> break and continue statements

Module 4: Functions

> Function Definition

> Scope Rules

> Recursion

> Random Modulee Functions

Module 5: Lists and Tuples

> Immutable vs Mutable Types

> List and Tuple Functions

> Comparison

> Conversion

> Multi-dimensional Lists and Tuples

Module 6: Dictionaries

> Key and Value Pairs

> Dictionary Functions

> Sorting and Converting

Module 7: External Libraries

> Important Libraries

> How to Install and Import

> Examples

Module 8:Basic File Operations

> Open a File with r/w/a/b Modes

> File Operations

> File and Directory Methods

Module 9:Exception Handling

> Exception Types

> Multiple Exceptions

> try and except block

> Finally expression

Part 2: OS: Linux

Module 1:Linux Distributions and Shell Types

Module 2: Basic Commands

: alias, ls, cd, pwd, mkdir, cat, touch, hidden files,

metachars, rm, cp, mv, man, info, find, grep, wc

Module 3: Standard I/O and Pipes

Stdin, Stdout, Stderr And Sudo

Module 4: vi/vim Text Editor

Module 5: Permissions on Linux

Module 6: Archiving files and OpenSSH

Module 7: Linux File System

df, du, lsblk, fdisk

Module 8: Service Management

Module 9: Account Management

Module 10: Process Management

Module 11: Software Management

Module 12: System Log Files

Part 3) Git

Module 1: Git Intro

Module 2: How Git Works ?

Module 3: Version Control with Git

Module 4: Branching with Git

Module 5; Use Git for Version Control

Part 4: REST API With Python

Module 1: List Comprehension Lab

Module 2: What is Model Driven Automation

Module3: What is HTTP ?

Module4: How HTTP works ?

Module5: What is Rest API

Module 6: What are API Data Formats?

Module 7: List Comprehension

Module 8: Parsing Public Colorado Population API With Python Lab

Module 9: Parsing News API With Python Lab

Module 10: Parsing NASA API With Python Lab

Module 11: Parsing Capital Cities JSON With Python Lab

Module 12: Parsing Star War JSON With Python Lab

Module 13: Parsing Game Of Thrones JSON With Python Lab

Module 14: Creating Custom API: Open Weather

Module 15: if _name_ == '_main_'

Module 16: Webex API Chat Bot With Web Hook Lab

Part 5: Data Science With Python

Module 1: What is Data Science ?

Module 2: What is Artificial Intelligence ?

Module 3: The Relation Between Artificial Intelligence, Data Science, Machine Learning and Deep Learnig

Module 4: What Data Scientist Do ?

Module 5: Creating Data Frame From API With Pandas Lab

Module 6: Creating Data Frame From Python Data Types With Pandas Lab

Module 7: Creating Data Frames from JSON With Pandas Lab

Module 8: Creating Data Frame From TXT With Pandas Lab

Module 9: Sorting Values At Data Frames With Pandas Lab

Module 10: Create Excel With Openpyxl With Pandas Lab

Module 11: Creating Data Frame From Excel With Pandas Lab

Module 12 Creating Data Frames From CSV With Skip Rows Functions At Pandas Lab

Module 13: Salaries Dataset Part 1 Set Index, Drop, NA Values Functions at Pandas Lab

Module 14: Salaries Dataset Part 2 Making Querries With Pandas Lab

Module 15: Salaries Dataset Part 3 Making Multiple Querries-Locate With Pandas Lab

Module 16: Pandas DataFrame Append, Concat, Transpose Lab

Module 17: Pandas Nunique Lab

Module 18: Copy Sheet-Delete Row & Columns at Excel With Openpyxl Lab

Module 19: Seperate & Save Sheets As New WorkBooks at Excel With Xlwing Lab

Module 20: Merge & Seperate Workbooks into New Workbooks at Excel With Openpyxl Lab

Module 21: Heart Attack Analysis Part 1 Intro

Module 22: Heart Attack Analysis Part 2 Value Counts With Pandas Lab

Module 23: Heart Attack Analysis Part 3 Features (Value Count & Nunique: With Pandas Lab

Module 24: Heart Attack Analysis Part 4 Group By With Pandas Lab

Module 25: Heart Attack Analysis Part 5 Cut with Pandas Lab

Module 26: Video IMDB Top 250 HTML Parsing Lab With Pandas and Beautiful Soup Lab

Module 27: Lambda Lab

Module 28: Numpy Intro

Module 29: Mean, Variance, Sigma Lab

Module 30: Median Lab

Module 31: Standard Scaler 1 Intro

Module 32: Titanic Fill NA, Median, Transform Data With Pandas Lab

Module 33: OneHotEncoder Iris Dataset With Sklearn Lab

Module 34: Matplotlib 1 Data Visualization Lab

Module 35: Matplotlib 2 Subplots Lab

Module 36: Matplotlib 3 Subplots Pie Lab

Module 37: Matplotlib 4 Turkish Footbal Federation Lab

Module 38: Matplotlib 5 With Pandas Data Reader Lab

Module 39: Matplotlib 6 Customize Time Series Tata Global Lab

Module 40: Matplotlib 7 Customize Time Series Colorado Lab (rotation, indent, time format:

Module 41: Matplotlib 9 Random Walk Probability Lab

Module 42: Matplotlib 10 Random Multiple Walk Probability Lab

Module 43: Matplotlib 11 Birthday Probability Lab

Module 44Matplotlib 12 Birthday Probability %50 Annotate Lab

Module 45: Matplotlib Bonus Scatter Lab

Module 46: Matplotlib Annotate & Arrowprops Lab

Module 47: Seaborn Lineplot Lab

Module 48: Advertisement Dataset Seaborn Scatterplot, Heatmap, Pairplot Lab

Module 49: Heart Attack Analysis Part 6 Seaborn Barplot Lab

Module 50: Heart Attack Analysis Part 7 Seaborn Catplot Lab

Module 51: Heart Attack Analysis Part 8 Seaborn Boxplot Lab

Module 52: Log File Management With Python Lab

Module 53: Object Oriented Programing Encapsulation

Module 54: Object Oriented Programing Inheritance

Module 55: Parsing Star Wars Episode 3 Scenario Lab

Module 56: Regular Expressions Parsing Words.txt file Lab

Module 57: Regular Expressions Kill Bill Phrase With regex101 Lab

Module 58: Regular Expressions Parsing Emails Lab

Module 59: Regular Expressions Split, Substitude, Findall Lab

Module 60: Socket Programming Part 1 Sending & Receiving Data Lab

Module 61: Socket Programming Part 2 Parsing Binary Data Lab

Module 62: SQlite3 Introduction To SQlite3 Database Company Lab

Module 63: SQLite3 Harvard Movies Project Lab

Module 64: Netflix Dataset

Module 65: Spotify Dataset

Part 6: Network Automation With Python

Module 1: Paramiko SSH & SFTP Lab

Module 2: Network Automation with Paramiko (Terminal Length, Custom Paramiko Library) Lab

Module 3: Introduction to Netmiko Lab

Module 4: Introduction to TextFSM Lab

Module 5: Configure Multiple Devices With Netmiko Lab

Module 6: Multiple Devices With Netmiko Via JSON Lab

Module 7: Receive Serial Numbers With Netmiko & TextFSM Lab

Module 8: Excel With Netmiko TextFSM Lab

Module 9: Zero Touch Provisioning Netmiko With TextFSM Lab

Module 10: Converting Yaml with Jinja Template Lab

Module 11: NXAPI Sandbox Lab

Module 12: NXAPI Postman Lab

Module 13: NXAPI Python Lab

Module 14: NXAPI Zero Touch Provisioning Lab

Module 15: Parsing XML With Python

Module 16: Introduction to Napalm

Module 17: Connect to a Switch With Napalm

Module 18: Napalm and JSON

Module 19: View a MAC address table and ARP cache With Napalm

Module 20: Use NAPALM to retrieve BGP neighbors

Module 21: Use Napalm for Device Configuration: Configure ACL

Module 22: Introduction to NetConf

Module 23: NetConf get-config using SSH

Module 24: NetConf get-config using Ncclient

Module 26: Use Ncclient to Configure a Device

Module 27: Introduction to RestConf

Module 28: Learn to CRUD with GET, POST and DELETE using RESTCONF

Module 29: Use RESTCONF to Access an IOS XE Device

Module 30: Introducing YANG Data Modeling for the Network

Part 7: Machine Learning & Deep Learning With Python

Module 1: What is Machine Learning

Module 2: Machine Learning Methods

Module 3: Supervised Machine Learning Regression Introduction

Modulee 4: Advertisement Data Set Multiple Linear Regression

Module 5: Advertisement Data Set Polynomial Regression

Module 6: How to Save Data Model and Load

Module 7: Supervised Machine Learning Classification

Module 8: Using Standard Scaler Method For Scattered Distributed Dataset: Breast Cancer

Module 9: Converting Text Wise Simple/Binary Classification Dataset into Numerical via Label Encoder: Titanic Dataset Label Encoder

Module 10: Cross Validation

Module 11: Lasso

Module 12: KNN

Module 13: Introduction To Deep Learning

Module 14: What is Neural Network ?

Module 15: What is Deep Nerural Network ?

Module 16: How to Design Deep Neural Network ?

Module 17 : Multi Layer Perceptron:

Module 18: Breast Cancer Dataset Prediction With MLP

Module 19: Artificial Neural Network

Module 20: Desigining Deep Neural Network Tensorflow Play Ground

Module 21: Handwriting With Tensor Flow

Module 22: Pima Indians Diabetics DataSet Simple Classification with ANN (Keras)

Module 23: Breast Cancer Dataset Prediction With ANN (Keras)

Module 24: Boston Houses Dataset Prediction With ANN (Keras)

Module 25: Iris Flower Dataset Multiple Classification With ANN (Keras)

Module 26: Early Stop Callback (Keras)

Module 27: Multiple Early Stop Call Back (Keras)

Module 28: Image Process

Module 29: OpenCV, CVlib, PyTorch

Module 30: Yolov3 Files

Part 8: Robotic Process Automation With Python

Module 1: Creating Custom API Open Weather

Module 2: if _name_ == '_main_'

Module 3: Webex API Part Lab
Module 4: Email With Python Part 1 smtplib & email.message Lab

Module 5: Email With Python Part 2 Yagmail Lab

Module 6: Email With Python Part 3 Attached Email with Email.Message Lab

Module 7: Email With Python Part 4 Time Scheduled Mail Lab

Module 8: Email With Python Part 5 Bitcoin Api Auto Alarm Management With Email Lab

Module 9: Email With Python Part 6 Email With Excel Lab

Module 10: Email With Python Part 7 Sending attached file as html in email Lab

Module 11: Email With Python Part 8 Sending Email within VPN Lab

Module 12: Creating Widget With Tkinter Lab

Module 13: Restaurant Menu With Tkinter Lab

Module 14: Text To Speech With gTTS Lab

Module 15: Text To Speech With Pyttsx Lab

Module 16: Speech to text gTTS Lab

Module 17: Speech To Text Pyttsx3 Lab

Module 18: Weather Forecast Application With Tkinter, SQL, TTS, STT

Module 19: Flask

Module 20: Making Calculator With Flask

Module 21: Making Phone Book With Flask

Module 22: Fast API

Module 23: Making Applications With Fast API

Module 24: Making Machine Learning Application With Fast API

Module 25: Making Weather Forecast Application With Fast API

Part 9 Docker

Module 1: What is Docker ?

Module 2: What is Container ?

Module 3: How Docker and Container works ?

Module 4: What is Kubernetes ?

Module 5: How Kubernetes works ?

Module 6: Python Unit Tests (Assert & Unittest)

Module 7: Docker Installation and Hello World Container

Module 8: NGINX Container Installation and Other Web Services Management

Module 9: Interpret a Dockerfile

Module 10: Container Network

Module 11 Container Security

Module 12: Containerize An Application Using Docker

Module 13: Docker Compose

Module 14: Integrate Application into Existing CI_CD Environment

Module 15: Docker swarm

Modul 16: Convert Tkinter Python Code Into Container

Module 17: Convert Fast API Code Into Container

Part 10) Ansible

Module 1: What is Ansible

Module 2: How Ansible Works ?

Module 3: How To Make Ansible Design ?

Module 4: Inventory

Module 5: Playbook

Module 6: Roles

Module 7: How To Manage Servers With Ansible

Module 8: How to Manage Cisco NX-OS With Ansible

Module 9: How to Manage Cisco IOS With Ansible

Part 11) Container Orchestration with Kubernetes

Module 1: Kubernetes Introduction

Module 2: Kubernetes Installation

Module 3: Setting Up a Kubernetes Cluster with Docker

Module 4: Scaling Pods in Kubernetes

Module 5: Creating Helm Charts

Part 12) DevSecOps

Module 1: An Overview of DevSecOps

Module 2: Cyber Security Standards and Concepts

Module 3: Cyber Security Standards

Module 4: Identity and Access Management

Module 5: Secure Software Onboarding

Module 6: Clean Repositories

Module 7: Securing Public Repositories

Module 8: Secure Containerization

Module 9: Docker Trusted Repositories

Module 10: Docker Bench

Module 11: Using Docker Bench to Enhance Container Security