Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 25 Minute(s)
Language
English
Taught by
Amr Shawqy, Sameh Nabil
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
Course Overview
Build real-world AI & machine learning apps using both PHP & Python. No prior ML knowledge required. Full Code Included.
Become an AI & Machine Learning developer, one of employer's most requested skills for 2018/2019!
Add value to your solutions and products, it is time to start using AI & Machine Learning now!
This course is different than any other AI or Machine Learning course; it requires no prior knowledge in AI or Machine Learning before, and you will be able to have your own AI Machine Learning application up and running right after the course.
This course is straight-forward, practical, and gives you all what you need to start your career in Machine Learning and Data Science. If you are a developer, programmer, technical student, manager, team leader, and you have not explored AI and Machine Learning before, this course is the best, most exciting, and complete course for you.
Examples of how you can build applications that identifies a string language, identify colors, identify human actions "like jump, sleep, anger, sadness etc." in a video, identify if a tweet or a Facebook post is positive or negative, that are all a few examples of what you can do in this course, all explained and you can do it all by yourself during the step by stop journey in this course.
This course will make all AI concepts, terminology, and approaches clear for you, so you understand how everything around you is going, and takes you in a series of a very interesting hands-on step by step examples on how to build amazing AI applications.
Premium resources you get:
Exclusive membership to our growing invitation only "EarlyBirdClub" Slack community, where you can discuss and engage with course authors, your course colleagues, and a group of technology geeks, entrepreneurs and business owners.
Power Point presentation used in the video, and you can freely edit it and use it.
Full source code for all examples in the course including training data used for machine learning.
The following topics are covered:
AI
Rule & Logic Based AI
Machine Learning
Machine Learning Types (Supervised, Unsupervised, Reinforced, etc.)
Machine Learning Algorithms
Neural Networks & Deep Neural Networks
Deep Learning
PHP Step by Step Examples
Python Step by Step Examples
Language Detection
Color Detection
Human Actions Identification in Videos
General String Classification
Handling numerical data, string data, image data, voice data, and video data.
PHP-ML
scikit-learn
numpy
TensorFlow
TensorFlow Hub
Neural Networks Math Step by Step
And Much More!
You will get lifetime access to over 60 lectures and many articles & resources.
So what are you waiting for? Learn AI & Machine Learning in a way that will advance your career and increase your knowledge, all in a fun and practical way!
Course Content
- 10 section(s)
- 65 lecture(s)
- Section 1 Understanding AI & Machine Learning
- Section 2 Machine Learning Types & Algorithms
- Section 3 Coding Example: Dominant Color Detector (Neural Networks Algorithm)
- Section 4 Coding Example: Language Detection (Support Vector Machine Algorithm)
- Section 5 Python & PHP
- Section 6 Coding Example: Simple Neural Network (Built from scratch without libraries!)
- Section 7 Important Neural Networks Concepts
- Section 8 Coding Example: Language Detection with Google's TensorFlow (Real-world example)
- Section 9 TensorFlow Hub
- Section 10 Bonus Section: Building a Neural Network using Plain Math
What You’ll Learn
- Build real-world AI applications right after the course
- Master AI & machine learning concepts and approaches
- Build AI applications using Google's TensorFlow, the most powerful Machine Learning framework
- Develop machine learning applications using PHP & Python
- Build Neural Network Applications for any Machine Learning purpose
- Build advanced Machine Learning models and know how to use them to solve any problem
- Learn how Neural Networks & Deep Neural Networks work
- Understand Deep Learning
- Understand how Google's TensorFlow works and how to use it
- Use TensorFlow Hub for faster and easier Machine Learning application development
- Understand the math behind Neural Networks
- Take their products and solutions to the next level with AI and Machine Learning
Skills covered in this course
Reviews
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MMichael Sperber
The learning content so far is good, I learned a lot already. (chapter 5 now). The sound quality is average at best, some words I really can't understand, and the subtitles also don't understand so that is just making up words. The instructor is not very good at php, but that is not a big problem as long as the examples work, and so far they do. Halfway through. I think the instructor is not very good at Python as well. He is reading out what he is typing, but not explaining. Then again it is good knowledge if you are willing to put some of your own experiments in. Also pronounciation is realy a problem. for me and for the auto-subtitle.
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MMarc Lange
Generell erst einmal viel allgemein Info aus Wikipedia & Co. Aber gut aufgearbeitet
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GGilbert Acquaye
It's a perfect match for me
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TTony Becker
Instructor goes fairly quickly and jumps through the coding exercise. Good overall knowledge of AI.
