Learning Path

Become an Artificial Intelligence (AI) Engineer

An AI engineer builds AI models using machine learning algorithms and deep learning neural networks to draw business insights, which can be used to make business decisions.

6 Courses
77 Hours in Total
10 Case Studies
Lifetime access to course Content

Market Opportunity

Since several industries around the world use AI to some degree or the other, including healthcare and education, there has been exponential growth in the career opportunities within the field of AI.

Career Opportunity

An AI engineer’s average annual salary is $111,000 in the United States (source: Glassdoor)

Rare skills

What You Will Learn

  • Understand the intuition behind Artificial Neural Networks and apply them in practice
  • Understand the intuition behind Convolutional Neural Networks and apply them in practice
  • Understand the intuition behind Recurrent Neural Networks and apply them in practice
  • Understand the intuition behind Self-Organizing Maps and apply them in practice
  • Make a virtual Self Driving Car with Deep Q-Learning
  • Make AI beat games with Deep Convolutional Q-Learning and AC3
  • Optimize business processes with Thompson Sampling
  • Maximize revenues and minimize costs with Deep Q-Learning
  • Build a Hybrid Intelligent Systems
  • Learn and apply Mixture Density Network, Genetic Algorithms, Evolution Strategies.
Deep Learning A-Z™: Hands-On Artificial Neural Networks
01
22 hours
Artificial Intelligence A-Z™: Learn How To Build An AI
02
16 hours
Artificial Intelligence for Business
03
15 hours
Artificial Intelligence Masterclass
04
11 hours
Advanced AI skills
04
Deep Reinforcement Learning 2.0
04
9 hours
Artificial Intelligence 2018: Build the Most Powerful AI
04
4 hours

Other Learning Path

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Become a Deep Learning Engineer

A Deep Learning engineer builds models using deep learning neural networks to draw business insights, which can be used to make business decisions.

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Tensorflow 2.0 Skill Track

A TensorFlow specialist utilizes the vast knowledge of the TensorFlow library to create everything from neural networks to chat bots as a means to solve a myriad of problems in data science.

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