Course Information
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Course Overview
The best way to learn machine learning and AI using python: simply and fully explained concepts with practical exercises
USED BY SOFTWARE STUDENTS AT CAMBRIDGE UNIVERSITY - WORLD CLASS DEEP LEARNING COURSE - UPDATED CONTENT January 2018
Master practical deep learning and neural network concepts and fundamentals
My course does exactly what the title describes in a simple, relatable way. I help you to grasp the complete start to end concepts of fundamental deep learning.
Why you need this course
Coming to grips with python isn't always easy. On your own it can be quite confusing, difficult and frustrating. I've been through the process myself, and with the help of lifelong ... I want to share this with my fellow beginners, developers, AI aspirers, with you.
What you will get out of this course
I will give you straightforward examples, instructions, advice, insights and resources for you to take simple steps to create your own neural networks from scratch. By the end of the course you will be able to create neural networks to create your very own image classifier, able to work on your own images.
I personally provide support within the course, answering questions and giving feedback on what you're discovering/creating along the way. I don't just throw you in at the deep end - I provide you with the resources to learn and develop what you need at a pace to work for you and then help you stroll through to the finish line. Studies have shown that to learn effectively from online courses tutorials should last around ten minutes each. Therefore to maximise your learning experience all of the lectures in this course have been created around this amount of time.
My course integrates all of the aspects required to get you on the road becoming a successful deep learning developer. I teach and I preach, with live, practical exercises and walkthroughs at the end of each section!
Why this price?
As a professional AI developer I have over five years in Senior positions in software development and technology entrepreneurship, with experience in tutoring and creating online courses, catering to thousands of students. Face to face I charge $50 per hour for a student. To complete the curriculum that I offer it would cost them between $500 - $1000.
To reach more people than I could face to face I decided to create this course. As I add more content I intend to raise the price but for now I've decided on this price - the cost of around just three lessons.
By paying a small cost for this course I believe you will get your value back, with a lot more by the time you have completed it.
Ask yourself - how much is mastering the fundamentals of python (and setting up your skills for AI engineering) worth to you?
How long will it take?
Although everyone is different, on average it has taken existing students between 4 - 6 weeks to complete the course, whilst developing their skills and knowledge along the way.
Who this is not for
This course is not for anyone looking for a one-click fix. Although I provide you with a path walked enough times that it can be a relatively smooth journey it still requires a lot of time and effort from you to make it happen. If you're not interested in putting in your energy to truly better yours skills in python then this may not be the right course for you.
Is there a money back guarantee if I'm not happy?
Absolutely. I am confident that my course will bring you more value than you spend on the course. As one of the previously top featured Udemy Instructors my motto is 'your success is my success'. If within the first 30 days you feel my course is not going to help you to achieve your goals in python programming then you get a no questions asked, full discount.
What materials are included?
The majority of my lectures I have chosen to be in video format so that you can hear and see me when we're going through each and every area of the course.
Aswell as the course lectures, presentations, scripts and quizzes the course will soon also offers my full support as an instructor to answer questions, provide feedback and support
I will be constantly adding more valuable content and resources to the course as time goes by. Keep checking back here if you're not sure right now and feel free to send me a message with any questions or requests you may have.
So go ahead and click the 'Take this course' button at the top right of your screen. I look forward to seeing you on the course.
Course Content
- 9 section(s)
- 52 lecture(s)
- Section 1 About the course
- Section 2 The basic theory
- Section 3 Neural networks - the theory
- Section 4 Setting up your computer
- Section 5 The fun stuff - creating your first neural network
- Section 6 Portfolio project #1 - Creating an image classifier using Keras
- Section 7 Hyperparameters and bias
- Section 8 Conclusions
- Section 9 Convolutional neural networks - high power image classifiers
What You’ll Learn
- Confidently code neural nets
- Create your own machine learning programs
- Able to construct AI architectures
- You will have a full portfolio to maximise your employability
- An understanding of the overlying strategies for solving real world problems
- Knowledgable in ways that you can monetise your new skill
- Fully able to code image classifiers from scratch
- A fundamental understanding of the underlying mathematical concepts
Skills covered in this course
Reviews
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KKomaljeet Rambarun
Never thought I would be able to understand the concepts of neural networks this easily without any mathematics.
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RRaymond Johnson
Yes, it was a good match. I am already familiar with a lot of the concepts; however, as a refresher the way they are explained in this course is so much better and easier to absorb.
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MMNJ Bruin
Far from master class...bad illustations at the start.
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AArmando de la Torre Mothelet
The best introduction I've seen to Neural Nets. Take it if you are completely new to the topic. The explanations are simple and the exercise are engaging The additional resources seem to be missing, also the instructor is absent and hasn't answered any student's questions in months. The course is good in spite of the shortcommings.