Complete Python With Ai Skills To Get Your Dream It Job

Master Python for Data Science, AI, Machine Learning, Web Development, Game Development, Cybersecurity, and GUI!

What you'll learn

You will acquire the fundamental Python skills required for roles in data science, web development, AI, and cybersecurity.

You will gain a solid understanding of object-oriented programming, which is the foundation of building scalable and reusable Python applications.

These core Python skills will help you explore advanced fields like machine learning, deep learning, blockchain development, and ethical hacking.

By completing this course, you’ll be able to build projects using Flask, Django, Tkinter, and even create games with Pygame.

You will learn how to work with databases, build REST APIs, and scrape real data from websites using Python web scraping tools.

You will also gain hands-on experience in creating AI models using TensorFlow, PyTorch, and Neural Networks, and learn how to apply them in real-world problems.

You will prepare for real-world job success with guidance on portfolio building, resume writing, and technical interview readiness.

Requirements

No prior programming experience is required — this course starts from absolute basics.

A basic understanding of how to use a computer and browse the internet is helpful.

You should be comfortable with installing software and managing files on your computer.

A stable internet connection to download tools, libraries, and course files.

A desire to learn Python and explore fields like AI, web development, game design, and cybersecurity.

Description

Welcome to the Complete Python with AI Skills to Get Your Dream IT Job — your all-in-one learning experience designed to take you from a beginner programmer to a highly skilled Python developer, equipped for real-world careers in data science, machine learning, artificial intelligence, web development, cybersecurity, and more. Whether you're looking to write your first line of Python code or expand your skills into advanced topics like deep learning, blockchain, or cloud computing, this course provides the training, tools, and projects to help you succeed.You’ll start with programming fundamentals and object-oriented programming using Python, and then advance through hands-on projects in data analytics, neural networks, Python game development using Pygame, GUI development with Tkinter, and web development with Flask, Django, and custom-built Python APIs. You’ll gain practical experience using NumPy, TensorFlow, and PyTorch, and apply your knowledge to real-world projects like AI prediction tools, secure login systems, portfolio websites, and even your own Python blockchain.If your goal is to enter the world of cybersecurity, you’ll also learn ethical hacking, secure coding, encryption, and how to monitor system logs using Python for cybersecurity. You’ll build your understanding from the ground up while working on engaging use cases like brute-force simulators, file encryption tools, and real-time web scrapers.Beyond coding, this course helps you build a professional portfolio, write a strong resume, and prepare for job interviews with confidence. We’ll guide you through showcasing your best projects on GitHub, explaining your code clearly, and answering key technical and behavioral questions during interviews.By the end of this course, you’ll not only master complete Python programming — you’ll be ready for roles in AI, data science, web scraping, ethical hacking, cloud development, and more. Whether you're aiming for a promotion, a new career, or to become a full stack Python developer, this course will help you get there.Why Enroll in This Course?Lifetime Access: Learn at your own pace with unlimited access and free updates forever.Project-Based Learning: Build real apps in AI, games, web, GUI, and cybersecurity.All-in-One Python Path: Covers data science, machine learning, APIs, and full stack.Career-Ready Skills: Get tools for portfolios, resumes, and technical interviews.Community Support: Ask questions and get help from instructors and fellow learners.No Prior Experience Needed: Start from zero and go to expert — step by step.Versatile Use Cases: Code for automation, web scraping, blockchain, and more.Updated for Today’s Jobs: Aligned with industry trends and hiring needs.Get ready to learn, build, and transform your future. Enroll now in the Complete Python with AI Skills to Get Your Dream IT Job and take the first step toward your dream IT job.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Course Overview

Lecture 3 What is a Computer Language?

Lecture 4 Types of Programming Languages

Lecture 5 What is Object Oriented Programming?

Lecture 6 Programming Applications Examples

Lecture 7 Programmer vs. Developer

Lecture 8 Introduction to Python - History of Python

Lecture 9 Importance of Python

Lecture 10 What Can I Build Using Python?

Lecture 11 How to Succeed as a Python Developer

Section 2: Lab Setup

Lecture 12 Lab Design

Lecture 13 Introduction to Software Tools

Lecture 14 Installation of Python on Windows

Lecture 15 Installation of PyCharm on Windows

Lecture 16 Installation of Python on Linux

Lecture 17 Installation of PyCharm on Linux

Lecture 18 Online Python Practice Tool

Section 3: Introduction to Programming Fundamentals

Lecture 19 Python Programming using Notepad

Lecture 20 Introduction to IDE

Lecture 21 Python's Syntax and Structure

Lecture 22 Basic Input and Output Operations

Lecture 23 Code Comments and Documentation

Lecture 24 Code Errors and Debugging Basics

Lecture 25 Python Style Guide (PEP 8) Overview

Lecture 26 Navigating Python’s Interactive Shell

Section 4: Working with Variables

Lecture 27 Introduction to Variables

Lecture 28 Introduction to Constants

Lecture 29 Naming Conventions

Lecture 30 Assigning Multiple Values to Variables

Lecture 31 Memory Management for Variables

Lecture 32 Displaying and Formatting Variable Output

Lecture 33 Basic Mathematical Operations

Lecture 34 Exercise: Personal Budget Calculator

Lecture 35 Global vs. Local Variables

Lecture 36 Exercise: Temperature Conversion Program

Section 5: Data Types and Type Casting

Lecture 37 Understanding Built-in Data Types in Python

Lecture 38 Getting the Data Type of a Variable

Lecture 39 Type Conversion and Casting Between Data Types

Lecture 40 Exercise: Weekly Meal Planner

Lecture 41 Introduction to Strings

Lecture 42 String Slicing Techniques

Lecture 43 Exercise: Personalized Email Generator

Lecture 44 Using Escape Characters in Strings

Lecture 45 Exercise: Text Censoring Tool

Lecture 46 Searching and Replacing Substrings in Strings

Lecture 47 String Manipulation Using Regular Expressions

Section 6: Operators in Python

Lecture 48 Introduction to Operators

Lecture 49 Assignment Operators

Lecture 50 Conditional Statement (if-else)

Lecture 51 Comparison Operators

Lecture 52 Exercise: Password Strength Checker

Lecture 53 Logical Operators

Lecture 54 Exercise: Shopping List Finder

Lecture 55 Identity Operators

Lecture 56 Membership Operators

Lecture 57 Ternary Operators

Lecture 58 Exercise: Attendance Status Checker

Section 7: Python programming with ChatGPT

Lecture 59 Introduction to ChatGPT in Python

Lecture 60 Generating Python Programs with ChatGPT

Lecture 61 Debugging and Improving Code with ChatGPT

Section 8: Decision Making

Lecture 62 Introduction to Conditional Statements

Lecture 63 if-elif-else Ladder Statements

Lecture 64 Exercise: Restaurant Menu Selector

Lecture 65 Nested Conditional Statements

Lecture 66 Exercise: Movie Ticket Price Checker

Section 9: Loops in Python

Lecture 67 Introduction to Loops (for & while)

Lecture 68 Exercise: Daily Task Reminder

Lecture 69 Loops Control Statements

Lecture 70 Exercise: Guest Check-In System

Lecture 71 Using the zip() Function for Iteration

Lecture 72 Introduction to Nested Loops

Lecture 73 Exercise: Fun with Patterns

Section 10: Functions in Python

Lecture 74 Introduction to Functions

Lecture 75 Exercise: Welcome Message Function

Lecture 76 Function Parameters and Arguments

Lecture 77 Return Statement

Lecture 78 Anonymous or Lambda Functions

Lecture 79 Exercise: Smart Price Handler

Section 11: Lists in Python

Lecture 80 Introduction to Lists

Lecture 81 Introduction to List Slicing

Lecture 82 Lists with Loops

Lecture 83 Exercise: Recent Purchase History

Lecture 84 Sorting and Reversing Lists

Lecture 85 Nested Lists

Lecture 86 Copying Lists: Shallow vs. Deep Copy

Lecture 87 Exercise: Team Rosters Management

Section 12: Tuples in Python

Lecture 88 Introduction to Tuples

Lecture 89 Tuple Methods: Count and Index

Lecture 90 Nested Tuples

Lecture 91 Exercise: RGB Color Picker

Lecture 92 Concatenating and Repeating Tuples

Section 13: Sets in Python

Lecture 93 Introduction to Sets

Lecture 94 Exercise: Social Media Hashtag Organizer

Lecture 95 Frozen Sets

Lecture 96 Subset and Superset Operations in Sets

Lecture 97 Exercise: Course Prerequisites Checker

Section 14: Dictionaries in Python

Lecture 98 Introduction to Dictionaries

Lecture 99 Exercise: Personalized Playlist Manager

Lecture 100 Nested Dictionaries

Lecture 101 Merging Dictionaries

Lecture 102 Exercise: Leaderboard Game

Section 15: Arrays in Python

Lecture 103 Introduction to Arrays

Lecture 104 Exercise: Heart Rate Monitoring

Lecture 105 Slicing Arrays

Lecture 106 Types of Arrays

Section 16: Basic OOP Concept

Lecture 107 Introduction to Object-Oriented Programming

Lecture 108 Constructor and Destructor

Lecture 109 Access Modifiers & OOP Principles

Lecture 110 Introduction to Encapsulation

Lecture 111 Getters and Setters

Section 17: Advanced Concepts of OOP in Python

Lecture 112 Introduction to Inheritance

Lecture 113 Types of Inheritance

Lecture 114 Introduction to Polymorphism

Lecture 115 Types of Polymorphism

Lecture 116 Exercise: Online Shopping Cart

Lecture 117 Introduction to Abstraction

Section 18: Exception Handling in Python

Lecture 118 Introduction Errors and Exceptions

Lecture 119 Types of Errors and Exceptions

Lecture 120 Introduction to Try and Except

Lecture 121 Exercise: Bank Withdrawal System

Section 19: File Handling in Python

Lecture 122 Introduction to File Handling

Lecture 123 Basic File Operations

Lecture 124 Handling File Errors and Exceptions

Lecture 125 Reading and Writing Comma-Separated Values (CSV)

Lecture 126 Navigating the Filesystem

Lecture 127 Exercise: Document Finder

Section 20: NumPy in Python

Lecture 128 Introduction to NumPy

Lecture 129 Working with Array Elements

Lecture 130 Data Analysis with NumPy

Lecture 131 Reshaping and Combining Arrays

Lecture 132 Exercise: Food Nutrition Analysis

Section 21: NumPy Random and Distributions

Lecture 133 Random Number Generation in NumPy

Lecture 134 Introduction to Data Distributions in NumPy

Lecture 135 Exercise: Lottery Number Generator

Lecture 136 Exercise: Population Growth in Ecosystem

Lecture 137 Exercise: Predicting Equipment Failure

Section 22: Pandas & Data Manipulation Technique

Lecture 138 Introduction to the Pandas

Lecture 139 Basic Functions in Pandas

Lecture 140 Handling JSON Data in Pandas

Lecture 141 Pandas JSON Functions

Lecture 142 Preparing Clean Data for Analysis in Pandas

Section 23: Web Development Basics

Lecture 143 Introduction to HTML and CSS

Lecture 144 Basic HTML Page Structure

Lecture 145 HTML Elements and Tags (Part 1)

Lecture 146 HTML Elements and Tags (Part 2)

Lecture 147 Introduction to CSS

Lecture 148 CSS Selectors and Properties

Lecture 149 Exercise: Develop a Resume Page

Section 24: GUI Development with Tkinter

Lecture 150 Introduction to Tkinter

Lecture 151 Understanding Tkinter Widget Functions

Lecture 152 Organizing Widgets with Layout Managers (Part 1)

Lecture 153 Organizing Widgets with Layout Managers (Part 2)

Lecture 154 Creating Multi-Window Applications

Section 25: Databases Basics

Lecture 155 Introduction to Databases

Lecture 156 Types of Databases

Lecture 157 Setting Up MySQL for Python Projects

Lecture 158 Connecting Python to MySQL

Lecture 159 Tkinter and MySQL Data Flow

Section 26: Web Development with Django

Lecture 160 Introduction to Django Framework

Lecture 161 Setting Up a Django Project

Lecture 162 Build Your First Django Web Page with MVT

Lecture 163 Admin Interface in Django

Lecture 164 Exercise- Building a Basic Blog Website (Part 1)

Lecture 165 Exercise- Building a Basic Blog Website (Part 2)

Section 27: Web Development with Flask

Lecture 166 Introduction to Flask

Lecture 167 Setting Up a Flask Project

Lecture 168 Handling Routes

Lecture 169 Requests and Responses

Lecture 170 Introduction to Jinja2

Lecture 171 Creating Templates with Jinja2

Lecture 172 Database Integration and Migrations

Lecture 173 Connecting Flask to Database and Displaying Records

Section 28: Web Scraping using Python and API

Lecture 174 Introduction to Web Scraping

Lecture 175 Setting Up Web Scraping

Lecture 176 Web Scraping Functions

Lecture 177 Extracting Text, Links, and Images from Web Pages

Lecture 178 Introduction to APIs

Lecture 179 Handling API Authentication

Section 29: Artificial Intelligence with Python

Lecture 180 Introduction to Artificial Intelligence

Lecture 181 History and Applications of AI

Lecture 182 Types of Artificial Intelligence

Lecture 183 Introduction to Machine Learning (ML)

Lecture 184 Classification and Regression Models

Lecture 185 Basic Libraries for AI

Lecture 186 Exercise: Training a Model to Predict Pass or Fail

Lecture 187 Introduction to Natural Language Processing (NLP)

Lecture 188 AI Model Evaluation

Lecture 189 Exercise: ChatBot

Section 30: Deep Learning with Python

Lecture 190 Introduction to Deep Learning

Lecture 191 Neural Networks and Neurons

Lecture 192 Setting Up TensorFlow and Keras

Lecture 193 Types of Neural Networks

Lecture 194 Datasets for Deep Learning

Lecture 195 Designing a Dense Neural Network

Section 31: Data Science and Machine Learning

Lecture 196 Introduction to Data Science

Lecture 197 Setting Up Python for Data Science

Lecture 198 Creating Basic Visualizations with Matplotlib

Lecture 199 Advanced Plotting with Seaborn

Section 32: Automation and Scripting with Python

Lecture 200 Introduction to Automation

Lecture 201 Scheduling Tasks

Lecture 202 Automating System Administration

Lecture 203 Interacting with APIs and Monitoring API Status

Section 33: Game Development with Pygame

Lecture 204 Introduction to Pygame for Game Development

Lecture 205 Setting Up Pygame

Lecture 206 Setting Up Game Windows

Lecture 207 Drawing, Animation, and Sound in Games

Lecture 208 Exercise: Creating a Snake Game

Section 34: Networking with Python

Lecture 209 Introduction to Networking

Lecture 210 Python Networking Libraries

Lecture 211 Creating Simple Network Scanners with Python

Lecture 212 Socket Programming (Client & Server)

Lecture 213 Network Troubleshooting with Python

Section 35: Cloud Computing with Python

Lecture 214 Introduction to Cloud Computing

Lecture 215 Setting Up Cloud Environments and Accounts

Lecture 216 Python Libraries for Cloud Interactions

Lecture 217 Controlling and Maintaining Cloud Repository

Lecture 218 Deploying Application on the Cloud

Section 36: Blockchain Technology with Python

Lecture 219 Introduction to Blockchain Technology

Lecture 220 Setting Up a Development Environment for Blockchain

Lecture 221 Basic Python Libraries for Blockchain Development

Lecture 222 Creating a Simple Blockchain Using Python

Section 37: Cryptography with Python

Lecture 223 Introduction to Cryptography

Lecture 224 Setting Up a Development Environment

Lecture 225 Important Python Libraries for Cryptography

Lecture 226 Uses of Encoding, Encryption, and Hashing in Python Security

Section 38: Cybersecurity with Python

Lecture 227 Introduction to Cybersecurity

Lecture 228 Setting Up Python for Cybersecurity

Lecture 229 Important Python Libraries for Cybersecurity

Lecture 230 Checking System Logs to Find Hacker Activity

Section 39: Ethical Hacking with Python

Lecture 231 Introduction to Ethical Hacking

Lecture 232 Attack Vectors and Exploits

Lecture 233 Brute Force Attacks

Lecture 234 Introduction to Web Application Security Testing

Section 40: Building a Standout Python Portfolio

Lecture 235 Python Job Market and Career Pathways

Lecture 236 Degrees vs IT Certifications Python Jobs

Lecture 237 Building a Strong Python Portfolio

Lecture 238 Creating a GitHub Portfolio

Lecture 239 Writing Clean, Well-Documented Code for Your Portfolio

Lecture 240 Expanding Your Skills: Exposure to Other Technologies

Lecture 241 Join Python Communities and Forums

Section 41: Crafting a Winning Python Resume

Lecture 242 Resume Design, Formatting & Best Practices

Lecture 243 Avoiding Common Resume Mistakes: Grammar & Clarity

Lecture 244 Writing a Strong Objective & Professional Summary

Lecture 245 How to Write an Effective Cover Letter

Lecture 246 Supporting Your Resume: Validating Skills & Experience

Lecture 247 Enhancing Your Resume with Volunteer & Community Work

Section 42: Mastering Python Job Interviews

Lecture 248 Interview format (Complete Job Interviewing Skills with Real Life Examples)

Lecture 249 Practice, practice and practice (Complete Job Interviewing Skills with Real Life

Lecture 250 Tell me about yourself

Lecture 251 Talk about numbers

Lecture 252 Do not make up the answer

Lecture 253 Be precise

Section 43: How to Apply for Python Jobs & What to Expect

Lecture 254 Best Job Portals for Python Developers

Lecture 255 Working with Recruiters & Headhunters

Lecture 256 Networking & Python-Specific Job Boards

Lecture 257 The Shortlisting Process

Section 44: Next Steps in Your Python Career: Growth, Success & Mastery

Lecture 258 What to Expect in Your First Python Job: Daily Tasks & Best Practices

Lecture 259 Leveling Up: How to Grow as a Python Developer in IT

Lecture 260 Conclusion video by Imran

Section 45: Bonus Lecture

Lecture 261 Bonus Video

Anyone who wants to start a career in Python programming,This Python course is designed to take you from a beginner to an expert level,Anyone who wants complete Python training to get a job in IT, AI, or Web Development,Anyone who wants to master Python for data science, machine learning, cybersecurity, or game development,Anyone who wants help and guidance in resume building and job interview preparation