Artificial Intelligence A-Z

Description

Here’s what you’ll gain from this course:

1. Complete beginner to expert AI skills

Start from scratch and advance to expert-level skills as you learn to code self-improving AI for a variety of applications. We code alongside you—each tutorial begins with a blank page, and together we build the code from the ground up. This ensures you follow every step and fully understand how the code fits together and what each line means.

2. Code templates

Along with hands-on coding, you’ll receive downloadable Python code templates for every AI project built during the course. This makes creating your own unique AI projects as easy as tweaking a few lines of code. With a bit of imagination, the possibilities are limitless.

3. Intuition Tutorials

Unlike many courses that overwhelm you with complex theory, we focus on helping you build deep intuition for both what you’re doing and why. We avoid drowning you in advanced mathematics and instead emphasize developing your understanding of how to code AI effectively—leading to far better outcomes in the long run.

4. Real-world solutions

You’ll reach your goals not just in one game, but in three distinct projects. Each module varies in structure and complexity, ensuring you gain the skills to build AI adaptable to any environment—not merely pass a rote memory “test and forget” exercise like many other courses. Here, practice truly leads to mastery.

5. In-course support

We’re dedicated to making this the most accessible and results-focused AI course available. To help you succeed, we’ve assembled a team of professional Data Scientists ready to support you throughout your journey. Expect a response from us within a maximum of 48 hours whenever you need assistance.

Learning Paths

This course is part of the following learning paths:

  • AI Engineer

Course Content

Module 1 - Welcome to the course!
09:03
Module 2 - Part 0: Fundamentals of Reinforcement Learning
00:00
Module 3 - Q-Learning Intuition
123:01
Module 4 - Part 1: Self-Driving Car (Deep Q-Learning)
00:00
Module 5 - Deep Q-Learning Intuition
55:48
Module 6 - Installation for Part 1
16:23
Module 7 - Deep Q-Learning Visualization
27:00
Module 8 - BONUS: Self-Driving Car Made by ChatGPT
06:25
Module 9 - Part 2: Doom (Deep Convolutional Q-Learning)
01:00
Module 10 - Deep Convolutional Q-Learning Intuition
19:18
Module 11 - Installation for Part 2
153:35
Module 12 - Deep Convolutional Q-Learning Visualization
28:48
Module 13 - BONUS: Deep Convolutional Q-Learning AI model for Doom made by ChatGPT (GPT-4)
09:25
Module 14 - Part 3: Breakout (A3C)
01:00
Module 15 - A3C Intuition
57:42
Module 16 - A3C Implementation
140:00
Module 17 - BONUS: A3C AI model for Breakout made by ChatGPT (GPT-4)
07:31
Module 18 - Annex 1: Artificial Neural Networks
90:18
Module 19 - Annex 2: Convolutional Neural Networks
100:51
Module 20 - Bonus Lectures
01:00