Master In Artificial Intelligence (Ai)

Free Download Master In Artificial Intelligence (Ai)
Published 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.07 GB | Duration: 7h 56m
Develop and deploy machine learning and deep learning models to become a successful AI Engineer using Data Science etc

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?
Requirements
Willing to spend 7+ hours learning about Artificial Intelligence
Description
Want to become an Successful AI Engineer but don't know what to do and how?Take a look at this course where you willNot only learn about the Artificial Intelligence and role of AI Engineer but alsoHow to develop and deploy machine learning and deep learning models to address complex business issues andBecome a Successful AI EngineerPreview many lectures for free to see the content for yourselfClear your doubts on this topic any time while doing the courseGet Udemy's 30 days Money Back GuaranteeMy exposure to Artificial Intelligence began in 2020 when the demand for the AI Engineer role started increasing globally at a rapid paceI 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 domainDuring 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 problemsI bring in this course my learnings from this journey and share with you how can you also become a Successful AI EngineerPreview 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
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Overview
Lecture 2 Overview I
Lecture 3 Overview II
Lecture 4 Overview III
Section 3: Problem Definition
Lecture 5 Problem Definition I
Lecture 6 Problem Definition II
Lecture 7 Problem Definition III
Lecture 8 Problem Definition IV
Section 4: Data Collection & Preprocessing
Lecture 9 Data Collection & Preprocessing I
Lecture 10 Data Collection & Preprocessing II
Lecture 11 Data Collection & Preprocessing III
Lecture 12 Data Collection & Preprocessing IV
Lecture 13 Data Collection & Preprocessing V
Lecture 14 Data Collection & Preprocessing VI
Section 5: Algorithm Selection & Development
Lecture 15 Algorithm Selection & Development I
Lecture 16 Algorithm Selection & Development II
Lecture 17 Algorithm Selection & Development III
Lecture 18 Algorithm Selection & Development IV
Lecture 19 Algorithm Selection & Development V
Lecture 20 Algorithm Selection & Development VI
Lecture 21 Algorithm Selection & Development VII
Lecture 22 Algorithm Selection & Development VIII
Lecture 23 Algorithm Selection & Development IX
Lecture 24 Algorithm Selection & Development X
Lecture 25 Algorithm Selection & Development XI
Lecture 26 Algorithm Selection & Development XII
Lecture 27 Algorithm Selection & Development XIII
Lecture 28 Algorithm Selection & Development XIV
Lecture 29 Algorithm Selection & Development XV
Lecture 30 Algorithm Selection & Development XVI
Lecture 31 Algorithm Selection & Development XVII
Lecture 32 Algorithm Selection & Development XVIII
Lecture 33 Algorithm Selection & Development XIX
Lecture 34 Algorithm Selection & Development XX
Lecture 35 Algorithm Selection & Development XXI
Lecture 36 Algorithm Selection & Development XXII
Lecture 37 Algorithm Selection & Development XXIII
Section 6: Feature Engineering
Lecture 38 Feature Engineering I
Lecture 39 Feature Engineering II
Lecture 40 Feature Engineering III
Lecture 41 Feature Engineering IV
Lecture 42 Feature Engineering V
Lecture 43 Feature Engineering VI
Section 7: Deployment
Lecture 44 Deployment I
Lecture 45 Deployment II
Lecture 46 Deployment III
Section 8: Monitoring and Maintenance
Lecture 47 Monitoring and Maintenance I
Lecture 48 Monitoring and Maintenance II
Lecture 49 Monitoring and Maintenance III
Lecture 50 Monitoring and Maintenance IV
Lecture 51 Monitoring and Maintenance V
Section 9: Collaboration
Lecture 52 Collaboration I
Lecture 53 Collaboration II
Lecture 54 Collaboration III
Section 10: Research and Innovation
Lecture 55 Research and Innovation I
Lecture 56 Research and Innovation II
Lecture 57 Research and Innovation III
Section 11: Ethical Considerations
Lecture 58 Ethical Considerations I
Lecture 59 Ethical Considerations II
Lecture 60 Ethical Considerations III
Section 12: Roadmap to become AI Engineer
Lecture 61 Roadmap to become AI Engineer
Section 13: Summary
Lecture 62 Summary
Aspiring Artificial Intelligence Engineers
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