Artificial Intelligence A-Z: Learn How To Build An AI (Udemy.com)

The 16-hour course on Udemy teaches the fundamentals of building an AI. it covers problem solving, self-driving cars, Q-learning, game applications and general AI theory. By the end of the course, students will have a working knowledge of how to craft a functional AI.

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Created by: Hadelin de Ponteves

Produced in 2017

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Course Description

artificial intelligence Awards Sponsored

Learn key AI concepts and intuition training to get you quickly up to speed with all things AI. Covering:

How to start building AI with no previous coding experience using Python
How to merge AI with OpenAI Gym to learn as effectively as possible
How to optimize your AI to reach its maximum potential in the real world
Here is what you will get with this course:

1. Complete beginner to expert AI skills Learn to code self-improving AI for a range of purposes. In fact, we code together with you. Every tutorial starts with a blank page and we write up the code from scratch. This way you can follow along and understand exactly how the code comes together and what each line means.

2. Code templates Plus, youll get downloadable Python code templates for every AI you build in the course. This makes building truly unique AI as simple as changing a few lines of code. If you unleash your imagination, the potential is unlimited.

3. Intuition Tutorials Where most courses simply bombard you with dense theory and set you on your way, we believe in developing a deep understanding for not only what youre doing, but why youre doing it. Thats why we dont throw complex mathematics at you, but focus on building up your intuition in coding AI making for infinitely better results down the line.

4. Real-world solutions Youll achieve your goal in not only 1 game but in 3. Each module is comprised of varying structures and difficulties, meaning youll be skilled enough to build AI adaptable to any environment in real life, rather than just passing a glorified memory test and forget like most other courses. Practice truly does make perfect.

5. In-course support Were fully committed to making this the most accessible and results-driven AI course on the planet. This requires us to be there when you need our help. Thats why weve put together a team of professional Data Scientists to support you in your journey, meaning youll get a response from us within 48 hours maximum.

Who this course is for:
Anyone interested in Artificial Intelligence, Machine Learning or Deep Learning

Beginner Level

Time: 16.5h

Pros

Cons

- Course does a great job of presenting an intuitive approach to understanding AI.
- With multiple real-world examples, students can pivot course knowledge into professional work.
- Supplemental materials enable students to get as deep into the concepts as they like.
- Course requires a solid background in Python.
- While not listed as a prerequisite, a working knowledge of three-dimensional calculus is necessary for some sections.
- Despite having math too advanced for inexperienced students, the course probably delves too lightly in the math necessary to make truly effective AI.

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Instructor Details

Hadelin de Ponteves

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Hadelin is the co-founder and CEO at BlueLife AI, which leverages the power of cutting edge Artificial Intelligence to empower businesses to make massive profits by innovating, automating processes and maximizing efficiency. Hadelin is also an online entrepreneur who has created 50+ top-rated educational e-courses to the world on topics such as Machine Learning, Deep Learning, Artificial Intelligence and Blockchain, which have done 1M+ sales in 208 countries.

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By Mikko Malinen on 2 months ago

In spite there is some problems with using some of the packages of this course (like gym) and the A3C:s codes are little bit broken (I could not run the main.py file without errors even with the original shared files) which might be a problem of python version (I used python 3.6). Otherwise it was a great course which teaches a lot of new things about AI.

By Michael Anderson on 3 months ago

The amount of research papers mentioned and examples of AI working is amazing! Other courses go into the theory only, no examples that what they're teaching can be carried out. I also liked that it wasn't just one person teaching the course; you'd hear Kirill for a while and then Hadelin. Five stars for an exceptional course!

By David Boultinghouse on 4 months ago

Not a full five due to non notice of need for Ubuntu or VM with Ubuntu. Hope you find this a constructive criticism, good explanation of AI concepts, but a bit too repetitive, and could use a more thorough explanation of the pytorch tool

By Dayyan James on 3 months ago

Very easy to follow the tutorials and the delivery, while touching on complex subjects, are given simplistically with well thought through explanations.

By Yavor Mihov on 3 months ago

The course was great. Clear explanations, good diction. As a newcomer to this field, for me was especially valuable the first part with all the theory behind what is happening in the ANNs. Although I do not have programing skills (yet), I also enjoyed the second part to see how it actually works. Granted, that seemed rather complicated for a non-programmer but that's fine as the value for me was to see how the theory becomes reality. My plan is to come back to this course after learning Python/Pytorch and go through that second section one more time to get all the value it provides. Congrats on how you put together this course and how you delivered the content!