Python AI – Simply Explained Hands-On

This course is Everything you will ever need to Master every detailof Python.

Are you looking to master Python from Basics all the way to Any Software Idea that comes up to your mind?

Then this is the right course for you. Because you will not only learn the basics of the language, but you will learn about all the other python supported packages along tens of Hands-On-Projects!

Update

Pygame RPG Game Design From Scratch was added (With Object Oriented Pattern Design).

Update

Web Scraping using Beautiful Soup and Selenium was added . Including Advanced Debugging Techniques.

Update

Flutter For Python section was added (UI Web/Desktop Design).

Update

SQL And Relational Databases was added (DB Basics and SQLAlchemy ). With simplified Social media project.

Let this list of covered Topics give you an Idea:

1 Python Strings and RNG
2  Conditional Statements
3 Lists and Bundle Storage
4 Finite State Machines with Python
5  Loops
6 Functions
7 Dictionaries
8  Exceptions and Crash Handling
9 Python Built-In Functions
10 Python Object Oriented Programming
11 Decorators
12 Handling text Files
13 Handling  Compressed Files
14 Data Plotting with Matplotlib
15 Directory Management.
16 Command Line Based Applications
17 Numpy and Math
18 Image Processing With OpenCV
19 Video Processing
20 Object Tracking
21 Pandas And Tabular Data
22 Python GUI Based Apps
23 Converting Python to Stand-Alone Software
24 Recommender Systems with Netflix
25 OCR and Image to Text Conversion
26 Python Data Analysis Breakdown
27 Artificial Data Generation
28  Python Machine Learning Breakdown
29 Features Engineering
30 Seaborn for Data Visualization
31 Gaussian Naive Bayes
32 Principal Component Analysis (PCA) 
33 Linear Regression 
34 Polynomial Regression 
35 K-means Clustering 
36 Support Vector Machine (SVM) 
37 Linear Discriminate Analysis (LDA) 
38  t-SNE 
39 Hierarchical Clustering 
40 Time Series Analysis 
41 Decision Trees
42 Random Forests
43 Reinforcement Learning
44 Natural Language Processing (NLP)
45 Building A Messages and Emails Spam FIlter
46 Market Segmentation
47 Analyzing House Pricing
48. Deep learning Breakdown
49  Artificial Neural Networks
50 Image Classification
51 Convultional Neural Networks
52 Automating Accountant Job
53. Building Web Apps
54 Flutter For Python Using Flet
55 Python SQL and Relational Databases (Using SQLAlchemy)
56. Pygame and RPG Advanced Game Development

And more

See all of those concepts? Do you know the amount of people suffering to understand concepts like Machine Learning, Deep Learning and Data Analysis? it is actually very large. But this won’t be the case if you take this course!
They will be broken down to very simple terms,
Like explaining to a 5 years old how algorithms works!

Start now an lay a job in one of the hottest Programming language in the market now!

Because of the high diversity of topics in this course, this will be the only Python Course you will need to build any Python Software.

Plus I will be you mentor, so you can ask me any question any time and I will be more than happy to guide you through!

Rating Distribution

• 1 stars: 2 votes
• 2 stars: 1 votes
• 3 stars: 18 votes
• 4 stars: 53 votes
• 5 stars: 164 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!