Master in Artificial Intelligence (AI)
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
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Not only learn about the Artificial Intelligence and role of AI Engineer but also
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How to develop and deploy machine learning and deep learning models to address complex business issues and
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Become a Successful AI Engineer
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Preview many lectures for free to see the content for yourself
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Clear your doubts on this topic any time while doing the course
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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
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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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