Artificial Intelligence - Learn How To Build An AI Training

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The  Artificial Intelligence Course has been designed to develop the insight of the candidates on Data Science. In this training of Artificial Intelligence - Learn How To Build An AI the candidates would learn how to optimize the AI to reach its maximum potential in the real world and in the live scenarios. The training modules will definitely make the candidates understand  the theory behind Artificial Intelligence and helps them to understand how to resolve the Real World Problems with AI. Moreover, the candidates will also get the chance to create an an AI to beat games along with the virtual self driving cars.  The training open enormous gates of job opportunities for the candidates.

The Artificial Intelligence Training helps the candidates in:

  • Understanding the concepts behind AI.
  • How AI can be optimized so that the maximum potential could be obtained.
  • The beginners learn how the codes come is combined and what lines mean?
  • Understanding how to create the environment for self driving Car
  • Understanding the procedure of building the AI
  • Understanding how could a trainee provide support to the Data Scientist
  • Earning fame in the workplace with handsome salary
  • Learn how to build AI that is adaptable to any environment in real life
  • How to build AI with no previous coding experience using Python
Target audience
  • Anyone, who is interested in Artificial Intelligence, Machine Learning or Deep Learning would opt for this course.

The candidates should have well in High School Maths.

1. Fundamentals Of Reinforcement Learning

2. Q-Learning Intuition

  • Plan of Attack
  • What is reinforcement learning?
  • The Bellman Equation
  • The "Plan"
  • Markov Decision Process
  • Policy vs Plan
  • Adding a “Living Penalty”
  • About Q-Learning Intuition
  • The Q-Learning Intuition
  • About Q-Learning Visualization

3. Building a Self-Driving Car

  • Deep Q-Learning Intuition
  • The Plan of Attack
  • Deep Q-Learning Intuition
  • The Experience replay
  • Action Selection Policies

4. Installation

  • Where to get the Materials?
  • Windows Option 1: End-to-End installation steps
  • Windows Option 2 - Part A: Installing Ubuntu on Windows
  • Windows Option 2 - Part B: Installing PyTorch and Kivy on your Ubuntu VM
  • Mac or Linux: Installing Anaconda
  • Mac or Linux: Installing PyTorch and Kivy

5. Creating the environment

  • Self Driving Car

6. Building an AI

  • Self Driving Car

7. Playing with the AI

8. Teaching AI to Play Doom and Win

  • Teaching AI to Play Doom and Win

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