4.33 out of 5
4.33
7410 reviews on Udemy

Artificial Intelligence A-Z™: Learn How To Build An AI

Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications!
Instructor:
Hadelin de Ponteves
72 576 students enrolled
English [Auto-generated] More
Build an AI
Understand the theory behind Artificial Intelligence
Make a virtual Self Driving Car
Make an AI to beat games
Solve Real World Problems with AI
Master the State of the Art AI models
Q-Learning
Deep Q-Learning
Deep Convolutional Q-Learning
A3C

*** AS SEEN ON KICKSTARTER ***

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, you’ll 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 you’re doing, but why you’re doing it. That’s why we don’t 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 – You’ll achieve your goal in not only 1 game but in 3. Each module is comprised of varying structures and difficulties, meaning you’ll 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 – We’re 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. That’s why we’ve put together a team of professional Data Scientists to support you in your journey, meaning you’ll get a response from us within 48 hours maximum.

Welcome to the course!

1
Why AI?
2
Course Structure
3
Installing Anaconda
4
BONUS: Meet Your Instructors
5
Updates on Udemy Reviews

---------- Part 0 - Fundamentals Of Reinforcement Learning ----------

1
Welcome to Part 0 - Fundamentals of Reinforcement Learning

Q-Learning Intuition

1
Plan of Attack
2
What is reinforcement learning?
3
The Bellman Equation
4
The "Plan"
5
Markov Decision Process
6
Policy vs Plan
7
Adding a "Living Penalty"
8
Q-Learning Intuition
9
Temporal Difference

Q-Learning Visualization

1
Q-Learning Visualization

---------- Part 1 - Deep Q-Learning ----------

1
Welcome to Part 1 - Deep Q-Learning

Deep Q-Learning Intuition

1
Plan of Attack
2
Deep Q-Learning Intuition - Learning
3
Deep Q-Learning Intuition - Acting
4
Experience Replay
5
Action Selection Policies

Deep Q-Learning Implementation

1
Plan of Attack
2
Where to get the Materials
3
Getting Started
4
Self Driving Car - Step 1
5
Self Driving Car - Step 2
6
Self Driving Car - Step 3
7
Self Driving Car - Step 4
8
Self Driving Car - Step 5
9
Self Driving Car - Step 6
10
Self Driving Car - Step 7
11
Self Driving Car - Step 8
12
Self Driving Car - Step 9
13
Self Driving Car - Step 10
14
Self Driving Car - Step 11
15
Self Driving Car - Step 12
16
Self Driving Car - Step 13
17
Self Driving Car - Step 14
18
Self Driving Car - Step 15
19
Self Driving Car - Step 16

Deep Q-Learning Visualization

1
Self Driving Car - Level 1
2
Self Driving Car - Level 2
3
Self Driving Car - Level 3
4
Self Driving Car - Level 4
5
Challenge Solutions

---------- Part 2 - Deep Convolutional Q-Learning ----------

1
Welcome to Part 2 - Deep Convolutional Q-Learning

Deep Convolutional Q-Learning Intuition

1
Plan of Attack
2
Deep Convolutional Q-Learning Intuition
3
Eligibility Trace

Deep Convolutional Q-Learning Implementation

1
Plan of Attack
2
Where to get the Materials
3
Doom - Step 1
4
Doom - Step 2
5
Doom - Step 3
6
Doom - Step 4
7
Doom - Step 5
8
Doom - Step 6
9
Doom - Step 7
10
Doom - Step 8
11
Doom - Step 9
12
Doom - Step 10
13
Doom - Step 11
14
Doom - Step 12
15
Doom - Step 13
16
Doom - Step 14
17
Doom - Step 15
18
Doom - Step 16
19
Doom - Step 17

Deep Convolutional Q-Learning Visualization

1
Watching our AI play Doom

---------- Part 3 - A3C ----------

1
Welcome to Part 3 - A3C

A3C Intuition

1
Plan of Attack
2
The three A's in A3C
3
Actor-Critic
4
Asynchronous
5
Advantage
6
LSTM Layer

A3C Implementation

1
Plan of Attack
2
Where to get the Materials
3
Breakout - Step 1
4
Breakout - Step 2
5
Breakout - Step 3
6
Breakout - Step 4
7
Breakout - Step 5
8
Breakout - Step 6
You can view and review the lecture materials indefinitely, like an on-demand channel.
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!
4.3
4.3 out of 5
7410 Ratings

Detailed Rating

Stars 5
3594
Stars 4
2489
Stars 3
959
Stars 2
246
Stars 1
138
47db42ee69e96a9d0aa79b7b3fc424df
30-Day Money-Back Guarantee

Includes

16 hours on-demand video
14 articles
Full lifetime access
Access on mobile and TV
Certificate of Completion