Artificial Intelligence Az

Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications!

Last updated 2022-01-10 | 4.3

- Build an AI
- Understand the theory behind Artificial Intelligence
- Make a virtual Self Driving Car

What you'll learn

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

* Requirements

* High School Maths
* Basic Python knowledge

Description

*** 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.

Who this course is for:

  • Anyone interested in Artificial Intelligence, Machine Learning or Deep Learning

Course content

19 sections • 123 lectures

Why AI? Preview 05:10

Course Structure Preview 00:38

BONUS: Learning Paths Preview 00:51

Installing Anaconda Preview 03:26

BONUS: Meet Your Instructors Preview 00:34

This PDF resource will help you a lot! Preview 00:31

FAQBot! Preview 01:29

Updates on Udemy Reviews Preview 01:09

Your Shortcut To Becoming A Better Data Scientist! Preview 02:05

Plan of Attack Preview 04:03

What is reinforcement learning? Preview 11:26

The Bellman Equation Preview 18:25

The "Plan" Preview 02:12

Markov Decision Process Preview 16:26

Policy vs Plan Preview 12:55

Adding a "Living Penalty" Preview 09:47

Q-Learning Intuition Preview 14:45

Temporal Difference Preview 19:26

Quiz 1

Plan of Attack Preview 02:17

Deep Q-Learning Intuition - Learning Preview 15:15

Deep Q-Learning Intuition - Acting Preview 06:06

Experience Replay Preview 15:45

Action Selection Policies Preview 16:23

Plan of Attack Preview 01:13

Where to get the Materials Preview 00:21

Getting Started Preview 05:41

Self Driving Car - Step 1 Preview 09:15

Self Driving Car - Step 2 Preview 16:18

Self Driving Car - Step 3 Preview 06:44

Self Driving Car - Step 4 Preview 14:23

Self Driving Car - Step 5 Preview 05:59

Self Driving Car - Step 6 Preview 06:01

Self Driving Car - Step 7 Preview 05:46

Self Driving Car - Step 8 Preview 10:51

Self Driving Car - Step 9 Preview 17:27

Self Driving Car - Step 10 Preview 13:51

Self Driving Car - Step 11 Preview 15:21

Self Driving Car - Step 12 Preview 12:57

Self Driving Car - Step 13 Preview 12:27

Self Driving Car - Step 14 Preview 02:53

Self Driving Car - Step 15 Preview 05:28

Self Driving Car - Step 16 Preview 07:19

Self Driving Car - Level 1 Preview 08:51

Self Driving Car - Level 2 Preview 04:39

Self Driving Car - Level 3 Preview 07:21

Self Driving Car - Level 4 Preview 06:08

Challenge Solutions Preview 00:08

Plan of Attack Preview 03:26

Deep Convolutional Q-Learning Intuition Preview 07:12

Eligibility Trace Preview 08:38

Plan of Attack Preview 00:51

Where to get the Materials Preview 00:07

Doom - Step 1 Preview 09:42

Doom - Step 2 Preview 09:52

Doom - Step 3 Preview 10:34

Doom - Step 4 Preview 14:16

Doom - Step 5 Preview 06:32

Doom - Step 6 Preview 04:40

Doom - Step 7 Preview 06:38

Doom - Step 8 Preview 03:44

Doom - Step 9 Preview 07:50

Doom - Step 10 Preview 06:33

Doom - Step 11 Preview 04:14

Doom - Step 12 Preview 06:49

Doom - Step 13 Preview 15:32

Doom - Step 14 Preview 08:27

Doom - Step 15 Preview 10:37

Doom - Step 16 Preview 17:20

Plan of Attack Preview 01:03

Where to get the Materials Preview 00:06

Breakout - Step 1 Preview 10:07

Breakout - Step 2 Preview 08:01

Breakout - Step 3 Preview 12:24

Breakout - Step 4 Preview 12:58

Breakout - Step 5 Preview 10:32

Breakout - Step 6 Preview 11:46

Breakout - Step 7 Preview 07:46

Breakout - Step 8 Preview 11:30

Breakout - Step 9 Preview 11:31

Breakout - Step 10 Preview 08:05

Breakout - Step 11 Preview 05:06

Breakout - Step 12 Preview 15:39

Breakout - Step 13 Preview 08:22

Breakout - Step 14 Preview 05:21

Watching our AI play Breakout Preview 10:51

THANK YOU Bonus Video Preview 02:40

What is Deep Learning? Preview 12:34

Plan of Attack Preview 02:51

The Neuron Preview 16:15

The Activation Function Preview 08:29

How do Neural Networks work? Preview 12:47

How do Neural Networks learn? Preview 12:58

Gradient Descent Preview 10:12

Stochastic Gradient Descent Preview 08:44

Backpropagation Preview 05:21

Plan of Attack Preview 03:31

What are convolutional neural networks? Preview 15:49

Step 1 - Convolution Operation Preview 16:38

Step 1(b) - ReLU Layer Preview 06:41

Step 2 - Pooling Preview 14:13

Step 3 - Flattening Preview 01:52

Step 4 - Full Connection Preview 19:24

Summary Preview 04:19

Softmax & Cross-Entropy Preview 18:20