
This course includes our updated coding exercises so you can practice your skills as you learn.
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Code from scratch with clear, practical Python training that covers real-world applications, games, and practical challenges, while building your portfolio, resume, and interview skills to land your dream IT job.
Gain practical Python skills from fundamentals to AI and game development with hands-on projects in Tkinter, MySQL, and ChatGPT-enabled AI APIs, preparing you for a job-ready portfolio and interviews.
Understand how computers store data as binary zeros and ones and encode characters. See why high-level languages like Python exist and how a compiler translates them to binary.
Identify and compare low-level and high-level programming languages, then summarize major categories: procedural, object-oriented, functional, scripting, markup, and query languages.
Explore object oriented programming by defining objects and their classes, using a car example to show how data and functions form modular, reusable code that simplifies maintenance.
Explore how C plus plus, Java, Python, C sharp, and Ruby power real-world applications across operating systems, web, mobile, games, data analysis, and AI.
Differentiate a computer programmer from a software developer: coding and testing versus design, usability, and user experience. In a bank app scenario, developers focus on user needs, wireframes, and authentication.
Explore how Python's open source language makes coding simple and fun for beginners and powerful for experts. Trace its history from Monty Python's name to 0.9.0 and 1.0 releases.
Discover why Python's easy syntax and strong community fuel high demand in data science, AI, and web development, with TensorFlow, scikit-learn, and NumPy and cross-platform automation.
Explore what you can build with Python, from web backends and AI models to data analysis, scripting, and cybersecurity. Dive into cloud, blockchain, game, desktop, and embedded applications.
Cultivate curiosity and a strong foundation in Python basics, practice problem solving, and learn key libraries like Flask and pandas while building a portfolio and engaging with the Python community.
Leading a lab design for Python practice, this lecture presents two paths: install Python, PyCharm, and pygame on any OS, or use online tools like Google Colab or onecompiler.com.
Discover essential software tools for this course, including Python, the Python interpreter, PyCharm IDE, and Pygame, plus online options like one compiler and Google Colab to build hands-on Python projects.
Install Python on Windows 11 from python.org, enable add Python.exe to path, and verify the installation with Python --version in cmd.
Download PyCharm Community Edition (free) on Windows from JetBrains and run the installer. Set default settings or customize, create a desktop shortcut, then launch PyCharm and start coding.
Learn how to install Python on Linux by preparing development tools and libraries, downloading the latest Python source, configuring with optimizations, building, and verifying the installation.
Install and launch the PyCharm Community Edition on CentOS Linux by downloading with wget, extracting with tar, moving to /opt, and launching from the bin directory with ./pycharm.
Explore online python practicing tools such as one compiler and Google Colab to write, run, and test Python in your browser, manage files, and access libraries like pandas and NumPy.
Write and run your first Python program using Notepad, save as hello.py on the desktop, and execute it in the Windows terminal to see your code come to life.
learn to explore PyCharm as an integrated development environment, start a new pure Python project, choose interpreters, run a first program, and customize settings for efficient coding.
Explore Python syntax and structure, learn indentation, blocks, and case sensitivity, and understand how Python uses newlines to end statements for clear, beginner-friendly code.
Learn basic input and output in Python using print and input functions, store user input in variables, prompt for data, and greet users with concatenation.
Explore how Python uses comments and documentation. Use single-line comments with a hash, multi-line comments with hashes or triple quotes, and docstrings to describe functions, classes, and modules.
identify and fix common coding errors through practical debugging in Python, learning indentation errors, syntax errors, spaces, and pep8 warnings using PyCharm.
Learn how pep eight promotes clean, readable Python code with four-space indentation and 79-character line limits. Embrace pep eight as a living standard updated by the Python Software Foundation.
Experience Python's interactive shell, a read-eval-print loop that lets you type commands, run code, and see real-time results, enabling learning, quick testing, debugging, and easy access to command history.
Learn how constants in Python stay unchanged and improve code clarity by using uppercase names for constants, with examples of pi and circle area, and the difference from variables.
Master Python variable naming conventions to improve readability. Follow case sensitivity and prefer snake_case; use descriptive names and avoid spaces, starting digits, special characters, and reserved keywords.
Explore how Python memory management handles variables, labeling values on memory shelves, reuses memory when possible, and uses garbage collection to keep programs efficient.
Learn to display and format variable output in Python using print, concatenation, and str conversion, then apply f-strings and the format method for clear, user-friendly text.
Write a Python program that stores and displays name, age, and city; update age with +=; assign x, y, z in one line; print all variables in a formatted display.
Master basic Python math operations, including plus, minus, asterisk for multiplication, and division with slash or double slash. Learn exponentiation with double asterisk, and how Pemdas governs order with parentheses.
Create a personal budget calculator that collects monthly income and expenses such as rent, groceries, transport, utilities, and other costs; calculate total expenses and remaining budget, and display the results.
Understand global and local variables in Python, compare where they are defined and used, and learn how to access and modify them with the global keyword.
Create a Python temperature conversion program in PyCharm that converts Celsius to Fahrenheit. Use input and float conversion to apply Celsius to Fahrenheit and Fahrenheit to Celsius formulas, with f-strings.
Learn to create a simple Python program that stores a favorite color in a variable, displays it, updates it, and shows both old and new values.
Discover Python's built-in data types—integers, floats, and strings—and how Python infers types without declarations. Learn about memory limits, no fixed int size, and that characters are strings of length one.
Explore how Python performs type conversion and casting, comparing implicit and explicit approaches, with examples like converting strings to integers for arithmetic such as calculating remaining apples.
Build a weekly meal planner in Python that calculates total meals and water needs, and presents a clear daily table of breakfast, lunch, and dinner.
Create a grocery bill calculator by storing three items and prices, summing them, typecasting the total to integer, adding a 50 delivery charge, and displaying the final bill.
Learn how to work with strings in Python, including quotes and immutability. Use concatenation, repetition with asterisk, and built-in methods like lower, upper, strip, startswith, and endswith to manipulate text.
Learn Python string slicing techniques, including positive and negative indices, start end and step, reversing strings, and safe handling of out-of-bounds with default values.
Create a personalized email generator in Python using PyCharm to convert an input email name into a formatted full name, generate an example.com address, and assemble a personalized email message.
Learn how escape characters use backslashes to include quotes and control formatting in Python strings, including newlines and tabs, and how to double backslashes for literal backslashes.
Build a Python text censoring tool in PyCharm that hides a word by keeping its first letter and masking the rest with asterisks, using input, find, length, and slicing.
Learn to search and replace substrings in strings using Python's replace method, handle immutability by creating new strings, control occurrences, and manage case sensitivity.
Learn how to use regular expressions for string manipulation to search, match, and replace text by defining patterns, with examples like phone numbers and emails and cleaning extra spaces.
Store three tasks and their minutes in Python, compute total minutes, derive hours and leftover minutes with integer division and modulus, add a 15 minute break, and print the results.
Plan your Python programs with flowcharts to visualize logic before coding. Learn how shapes and arrows map steps, decisions, and inputs into a ready-to-translate design.
Learn how flowchart symbols—start/end, process, input/output, decision, connector, loop, preparation, subprocess, and document—visualize Python program flow to make coding simpler.
Guide program logic with flow direction and arrows, illustrating flowchart paths from top to bottom or left to right, including loops and decisions in Python.
Install the diagrams.net integration plugin in PyCharm and create a draw IO diagram to visually design flowcharts and program logic with shapes, arrows, and text.
Create a simple flowchart in PyCharm using diagrams.net with start, process, and end shapes to illustrate program logic. Export the flowchart as an image via the browser for easy sharing.
Learn to use flowcharts for decision making to classify a number as positive, zero, or negative, and convert the diagram into Python code.
Explore how pseudocode uses plain English to plan programs before coding. See how simple steps, like prompting for two numbers and comparing them, translate into Python.
Understand pseudocode syntax and its basic elements, including start and end, input, output, variable declaration, processing, and decision making with if, else if, and else, to plan algorithms before coding.
Explore Python operators, including arithmetic, comparison, logical, assignment, and membership and identity operators, and see how they perform calculations, comparisons, and data checks across numbers, strings, lists, and dictionaries.
Learn about assignment operators in Python that assign values to variables, and explore compound operators like +=, -=, *=, /=, and %= with the apples example.
Master Python’s if-else conditional statements to make decisions, using proper indentation and a colon syntax. See a practical example that checks whether a number is positive or negative or zero.
Explore Python's comparison operators and how they power decision making by evaluating equal, not equal, greater than, less than, greater than or equal to, returning booleans to guide conditional flow.
Create a Python password strength checker that prompts input, initializes zero strength score, checks length eight+, counts ! @ #, and marks strong when score is two or more.
Create a Python lab that checks discount eligibility by storing customer name and purchase amount, using comparison and conditional operators to print DiscountApplied or NoDiscount, then display the values.
master logical operators and, or, and not in Python to combine conditions, evaluate booleans, and drive decisions with if statements.
Develop a practical Python shopping list finder that checks milk, eggs, bread, butter, and sugar availability from a predefined list using user input, normalization, and if-else logic.
Create a python program to check access by storing username as text, age as number, and membership as boolean; use logical operators to grant or deny access, and print results.
Discover how Python identity operators, is and is not, determine if two variables share the same memory location, and how assignment links or separates variables with a note on lists.
Explore membership operators in Python, learning how to check if a value exists in a sequence using in and not in, with string and list examples.
Build a Python user access list checker by creating variables user1, user2, and entered_user with John, and using in for membership and is for identity, then print all variables.
Discover ternary operators in Python as a one-line shortcut for simple if-else statements. See how a condition selects a value, keeping code concise and organized with practical examples.
Create an attendance status checker that calculates attendance percentage from total and attended classes, validates inputs, and reports exam eligibility with a 75 percent threshold.
Build a python lab that checks pass or fail using a ternary operator, storing the student name and marks, then printing the name, marks, and result.
Learn how ChatGPT serves as a Python coding partner, helping write functions and scripts, debug errors, optimize code, and generate boilerplate templates to speed up Python projects.
Debug and improve Python code with ChatGPT by analyzing errors, explaining why they occurred, generating corrected versions, and adding interactive input prompts.
Explore how copilots, AI tools that translate plain English into Python code, accelerate development by turning ideas into working programs with correct loops, conditions, and functions.
Compare free and paid copilots in real-world coding tasks. Assist learners with code completion and quick fixes, and accelerate work on complex projects with paid copilots.
Set up and sign in to GitHub Copilot in PyCharm to enable AI-powered code completion in Python projects, then see it generate a for loop from an English comment.
Generate Python code from simple English instructions using Copilot in PyCharm. Write comments to explain intent and see Copilot propose a sum of two numbers program that prints the result.
Learn how to quickly identify and fix Python syntax errors with AI-based suggestions in an IDE, understanding how indentation, colons, and structure influence Copilot's fixes.
Interact with your Python code in PyCharm using GitHub Copilot chat with simple English. Attach files, switch response modes, and customize models and tools for smarter coding.
Explore how Copilot chat helps you understand, improve, and refine existing Python code in PyCharm, then generate a concise two-line solution that preserves the original output.
Learn how conditional statements in Python control program flow by evaluating true or false with if, elif, else and nested ifs, illustrated by a budget-based decision example.
Learn how if-elif-else ladder statements in python perform sequential condition checks, stopping at the first condition, with a donation example awarding gold, silver, bronze badges or a thank you card.
Use Python to evaluate a student's grade with if, elif, and else statements by storing a name and numeric marks, then printing the name, marks, and grade.
Explore a Python restaurant menu selector that lets users pick an item, enter quantity, and computes the total bill, displaying an order summary or an invalid choice message.
Explore how nested conditional statements in python manage multiple related checks, using student grades, discounts, and travel feasibility as real-life examples.
Build a movie ticket price checker that validates age and loyalty card input, applies age-based discounts and a loyalty discount on a base price of 500, then displays final price.
Implement a Python lab that uses nested conditions to verify user age and has ID status, granting access when age is 18 or older and has ID, otherwise denying.
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.