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Master in Artificial Intelligence (AI)

  • Development
  • Mar 20, 2025
SynopsisMaster in Artificial Intelligence (AI , available at $54.99,...
Master in Artificial Intelligence (AI)  No.1

Master in Artificial Intelligence (AI), available at $54.99, has an average rating of 4.55, with 62 lectures, 52 quizzes, based on 61 reviews, and has 12140 subscribers.

You will learn about 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? This course is ideal for individuals who are Aspiring Artificial Intelligence Engineers It is particularly useful for Aspiring Artificial Intelligence Engineers.

Enroll now: Master in Artificial Intelligence (AI)

Summary

Title: Master in Artificial Intelligence (AI)

Price: $54.99

Average Rating: 4.55

Number of Lectures: 62

Number of Quizzes: 52

Number of Published Lectures: 62

Number of Published Quizzes: 52

Number of Curriculum Items: 114

Number of Published Curriculum Objects: 114

Original Price: ?799

Quality Status: approved

Status: Live

What You Will 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?
  • Who Should Attend

  • Aspiring Artificial Intelligence Engineers
  • Target Audiences

  • Aspiring Artificial Intelligence Engineers
  • 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

    Look at what are the students of this course saying

    “Great learning in depth about defining the problem, collecting and preprocessing data to develop the right algorithm”

    “just one awesome work”

    “very much interesting

    “Well informative”

    “good”

    Preview for yourselfmany 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

    Course Curriculum

    Chapter 1: Introduction

    Lecture 1: Introduction

    Chapter 2: Overview

    Lecture 1: Overview I

    Lecture 2: Overview II

    Lecture 3: Overview III

    Chapter 3: Problem Definition

    Lecture 1: Problem Definition I

    Lecture 2: Problem Definition II

    Lecture 3: Problem Definition III

    Lecture 4: Problem Definition IV

    Chapter 4: Data Collection & Preprocessing

    Lecture 1: Data Collection & Preprocessing I

    Lecture 2: Data Collection & Preprocessing II

    Lecture 3: Data Collection & Preprocessing III

    Lecture 4: Data Collection & Preprocessing IV

    Lecture 5: Data Collection & Preprocessing V

    Lecture 6: Data Collection & Preprocessing VI

    Chapter 5: Algorithm Selection & Development

    Lecture 1: Algorithm Selection & Development I

    Lecture 2: Algorithm Selection & Development II

    Lecture 3: Algorithm Selection & Development III

    Lecture 4: Algorithm Selection & Development IV

    Lecture 5: Algorithm Selection & Development V

    Lecture 6: Algorithm Selection & Development VI

    Lecture 7: Algorithm Selection & Development VII

    Lecture 8: Algorithm Selection & Development VIII

    Lecture 9: Algorithm Selection & Development IX

    Lecture 10: Algorithm Selection & Development X

    Lecture 11: Algorithm Selection & Development XI

    Lecture 12: Algorithm Selection & Development XII

    Lecture 13: Algorithm Selection & Development XIII

    Lecture 14: Algorithm Selection & Development XIV

    Lecture 15: Algorithm Selection & Development XV

    Lecture 16: Algorithm Selection & Development XVI

    Lecture 17: Algorithm Selection & Development XVII

    Lecture 18: Algorithm Selection & Development XVIII

    Lecture 19: Algorithm Selection & Development XIX

    Lecture 20: Algorithm Selection & Development XX

    Lecture 21: Algorithm Selection & Development XXI

    Lecture 22: Algorithm Selection & Development XXII

    Lecture 23: Algorithm Selection & Development XXIII

    Chapter 6: Feature Engineering

    Lecture 1: Feature Engineering I

    Lecture 2: Feature Engineering II

    Lecture 3: Feature Engineering III

    Lecture 4: Feature Engineering IV

    Lecture 5: Feature Engineering V

    Lecture 6: Feature Engineering VI

    Chapter 7: Deployment

    Lecture 1: Deployment I

    Lecture 2: Deployment II

    Lecture 3: Deployment III

    Chapter 8: Monitoring and Maintenance

    Lecture 1: Monitoring and Maintenance I

    Lecture 2: Monitoring and Maintenance II

    Instructors

  • Master in Artificial Intelligence (AI)  No.2
    Arun Singhal B-Tech, MBA (IIM-B),Unilever, J&J, Danone, IIMU, Cello
    Management Coach and Mentor with 40 years experience
  • Rating Distribution

  • 1 stars: 1 votes
  • 2 stars: 0 votes
  • 3 stars: 8 votes
  • 4 stars: 18 votes
  • 5 stars: 34 votes
  • Frequently Asked Questions

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