Artificial Intelligence A-Z™ 2023: Build an AI with ChatGPT4

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About Course

Free Artificial Intelligence A-Z™ 2023: Build an AI with ChatGPT4

This comprehensive course teaches you the essential concepts of artificial intelligence (AI) and provides hands-on training to get you started building AI applications. Learn how to:

* **Build AI from scratch** without prior coding experience using Python.
* **Integrate AI with OpenAI Gym** for efficient learning.
* **Optimize your AI** to achieve peak performance in real-world scenarios.

This course provides you with:

* **Beginner to expert AI skills** – Learn to code self-improving AI for various purposes. We code alongside you, starting with a blank page and building the code step-by-step.
* **Code templates** – Downloadable Python code templates for each AI you create in the course, allowing you to easily build unique AI projects.
* **Intuition tutorials** – Develop a deep understanding of AI concepts by focusing on building your intuition rather than complex mathematics.
* **Real-world solutions** – Learn to build AI adaptable to any environment by practicing in multiple game scenarios with varying structures and difficulties.
* **In-course support** – Our team of professional Data Scientists provides support within 48 hours, ensuring you have the help you need throughout your learning journey.

This free course is available on Udemy, Udacity, Coursera, MasterClass, NearPeer, and other platforms. Sign up today and embark on your AI journey!

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What Will You 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

Course Content

01 – Welcome to the course

  • 001 – Welcome Challenge.html
    00:00
  • 002 – Why AI.mp4
    00:00
  • 003 – Course Structure.html
    00:00
  • 004 – EXTRA Use ChatGPT to Build AI More Efficiently.html
    00:00
  • Section Quiz

02 – Part 0 Fundamentals Of Reinforcement Learning

03 – QLearning Intuition

04 – QLearning Implementation

05 – Part 1 Deep QLearning

06 – Deep QLearning Intuition

07 – Deep QLearning Implementation

08 – Part 2 Deep Convolutional QLearning

09 – Deep Convolutional QLearning Intuition

10 – Deep Convolutional QLearning Implementation

11 – Part 3 A3C

12 – A3C Intuition

13 – A3C Implementation

14 – THANK YOU

15 – Annex 1 Artificial Neural Networks

16 – Annex 2 Convolutional Neural Networks

17 – Extra Materials

18 – Congratulations Dont forget your Prize

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