Introduction to AI and Big Data for managers

Learn about AI, Machine Learning, Deep Learning and Big Data. Learn how to implement this dynamic field in your business.

Created by : Rated :4.1 74144 views

Last Updated: 2023-03-22 05:03:09 English Course Type: Self Learning

You will learn, what the Artificial intelligence, Big Data, Machine Learning, Deep Learning and Data Science are
You will understand, why is AI so important and necessary for all companies to become more effective and stay competitive
You will be able to plan how to build, learn, support and motivate your AI / data science team
You will understand what is behind advanced data analytics and how it influences the whole world
You will become aware where and why big data is coming from
You will get knowledge how the machine is tought (machine learning, deep learning)

Our course Introduction to Big Data and Artificial intelligence for managers focuses on explaining the artificial intelligence and all related topics, like Big Data, Data science, Machine learning, Deep learning or Data Analysis. Our target is to challenge you with its implementation in your fields and companies. We will go through those topics, their meaning, characteristics, purpose and importance for every industry.

During this course we will go through:

Big Data meaning and characteristics
Advanced data analytics and its world-wide influence
Machine learning and Deep learning purpose and providing examples to explain, how it works
Real success case studies from differrent companies and industries
AI implementation incl. hints how to build your AI strategy, AI team and what is necessary to lead AI projects effectively and successfuly to reach the goal

no requirements

Everybody interested in new IT trends
managers from all hierarchical levels

Section 1 : Welcome to our course 2 Lectures 00:06:36
Lecture 1 :
Welcome to our course Preview
Lecture 2 :
Is it hard to implement AI for me?
Section 2 : Big Data 3 Lectures 00:08:06
Lecture 1 :
Big Data
Lecture 2 :
Big Data statistics
Lecture 3 :
Challenges of Big Data - 5Vs
Section 3 : Advanced data analytics 2 Lectures 00:04:19
Lecture 1 :
Advanced data analytics I
Lecture 2 :
Advanced data analytics II
Section 4 : Machine Learning & Deep Learning 7 Lectures 00:18:35
Lecture 1 :
Intro
Lecture 2 :
How it works
Lecture 3 :
Maintanance case study
Lecture 4 :
Let´s try it
Lecture 5 :
Machine learning techniques
Lecture 6 :
Machine learning techniques
Lecture 7 :
Success stories
Section 5 : AI implementation 15 Lectures 00:35:20
Lecture 1 :
Intro
Lecture 2 :
AI project process
Lecture 3 :
AI team
Lecture 4 :
Data Science workflow
Lecture 5 :
AI implementation I
Lecture 6 :
AI implementation II
Lecture 7 :
AI implementation III
Lecture 8 :
AI implementation IV
Lecture 9 :
AI implementation VI
Lecture 10 :
AI implementation VII
Lecture 11 :
AI implementation VIII
Lecture 12 :
AI implementation - pyramide I
Lecture 13 :
AI implementation - pyramide II
Lecture 14 :
AI strategy
Lecture 15 :
Useful links
Section 6 : Conclusion 1 Lectures 00:02:01
Lecture 1 :
Thank you

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Can i play & pause the course as per my convenience?
Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on.
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Do i need a pc to access the course or can i do it on mobile & tablet as well?
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Barbora Stetinova,

149221 Course Views

3 Courses

Experienced in Data Science and Business Intelligence (Machine Learning&Deep Learning projects, BI) for different fields, like Production, Logistics, Finance, Sales in automotive industry. Engaged as a business analyst consultant for different industries such as retail, sensorics, building, automotive etc., at Leadership Synergy Community. Publishing Data science e-learning courses under ElderberryData brand (e.g. Introduction to Big Data and Artificial Intelligence for managers, Machine Learning with KNIME analytics platform, Data manipulation and visualisation with Knime, Python and Excel, MS Excel crash course). Participating on educational e-learning projects and technical reviews of Python Machine learning and Deep learning courses with PACKT Publishing. Member of the DataCup 2019 winner team. I am motivated by learning new things and helping others.