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Master in Artificial Intelligence (AI)

Last updated on May 19, 2024 10:51 am
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Description

What you’ll learn

  • What is Artificial Intelligence and career opportunities in this field?
  • What are the responsibilities of a AI Engineer?
  • How to effectively deliver on these responsibilities?
  • How to become a successful AI Engineer?

Want to become an Successful AI Engineer but don’t know what to do and how?

Take a look at this course where you will

  • Not only learn about the Artificial Intelligence and role of AI Engineer but also

  • How to develop and deploy machine learning and deep learning models to address complex business issues and

  • Become a Successful AI Engineer

  • Preview many lectures for free to see the content for yourself

  • Clear your doubts on this topic any time while doing the course

  • Get Udemy’s 30 days Money Back Guarantee

My exposure to Artificial Intelligence began in 2020 when the demand for the AI Engineer role started increasing globally at a rapid pace

I went about understanding the AI Engineer job requirements from the industry to meet the growing demand for this emerging role and had a chance to prepare many students from a company I was working with in this domain

During these years, I learnt all about Artificial Intelligence that can help develop and deploy the machine learning and deep learning models to address specific business problems

I bring in this course my learnings from this journey and share with you how can you also become a Successful AI Engineer

Preview for yourself many lectures free. If you like the content, enroll for the course, enjoy and skill yourself to become a Master in Artificial Intelligence! If don’t like the content, please message about how can we modify it to meet your expectations.

Please remember that this course comes with Udemy’s 30 days Money Back Guarantee

Who this course is for:

  • Aspiring Artificial Intelligence Engineers

Course content

  • Introduction1 lecture • 7min
  • Introduction
  • Overview3 lectures • 22min
  • Overview
  • Problem Definition4 lectures • 26min
  • Problem Definition
  • Data Collection & Preprocessing6 lectures • 1hr
  • Data Collection & Preprocessing
  • Algorithm Selection & Development23 lectures • 3hr 12min
  • Algorithm Selection & Development
  • Feature Engineering6 lectures • 54min
  • Feature Engineering
  • Deployment3 lectures • 20min
  • Deployment
  • Monitoring and Maintenance5 lectures • 31min
  • Monitoring and Maintenance
  • Collaboration3 lectures • 15min
  • Collaboration
  • Research and Innovation3 lectures • 17min
  • Research and Innovation

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