Artificial Intelligence for Business (Udemy.com)

Solve Real World Business Problems with AI Solutions

Created by: Hadelin de Ponteves

Produced in 2021

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What you will learn

  • OPTIMIZE BUSINESS PROCESSES
  • Master the General AI Framework
  • Implement Q-Learning
  • Save and Load a model
  • Build an Optimization Model
  • Implement Early Stopping
  • Maximize Efficiency
  • MAXIMIZE REVENUES
  • MINIMIZE COSTS
  • Implement Thompson Sampling
  • Implement Deep Q-Learning
  • Leverage AI to make the best decision
  • Build an AI Environment from scratch
  • Implement Online Learning
  • Build an Artificial Brain
  • Implement Regret Analysis

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Quality Score

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Overall Score : 92 / 100

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Course Description

Structure of the course:

Part 1 - Optimizing Business Processes
Case Study: Optimizing the Flows in an E-Commerce Warehouse
AI Solution: Q-Learning

Part 2 - Minimizing Costs
Case Study: Minimizing the Costs in Energy Consumption of a Data Center
AI Solution: Deep Q-Learning

Part 3 - Maximizing Revenues
Case Study: Maximizing Revenue of an Online Retail Business
AI Solution: Thompson Sampling

Real World Business Applications:

With Artificial Intelligence, you can do three main things for any business:
  1. Optimize Business Processes
  2. Minimize Costs
  3. Maximize Revenues
We will show you exactly how to succeed these applications, through Real World Business case studies. And for each of these applications we will build a separate AI to solve the challenge.

In Part 1 - Optimizing Processes, we will build an AI that will optimize the flows in an E-Commerce warehouse.

In Part 2 - Minimizing Costs, we will build a more advanced AI that will minimize the costs in energy consumption of a data center by more than 50%! Just as Google did last year thanks to DeepMind.

In Part 3 - Maximizing Revenues, we will build a different AI that will maximize revenue of an Online Retail Business, making it earn more than 1 Billion dollars in revenue!

But that's not all, this time, and for the first time, we've prepared a huge innovation for you. With this course, you will get an incredible extra product, highly valuable for your career:
"a 100-pages book covering everything about Artificial Intelligence for Business!".

The Book:

This book includes:
  • 100 pages of crystal clear explanations, written in beautiful and clean latex
  • All the AI intuition and theory, including the math explained in detail
  • The three Case Studies of the course, and their solutions
  • Three different AI models, including Q-Learning, Deep Q-Learning, and Thompson Sampling
  • Code Templates
  • Homework and their solutions for you to practice
  • Plus, lots of extra techniques and tips like saving and loading models, early stopping, and much much more.


Conclusion:

If you want to land a top-paying job or create your very own successful business in AI, then this is the course you need.
Take your AI career to new heights today with Artificial Intelligence for Business -- the ultimate AI course to propel your career further.Who this course is for:
  • Business Driven people, who are eager to learn how to leverage AI to optimize their Business, maximize profitability and efficiency
  • AI practitioners, who want to know what projects they can offer to their Employees
  • Aspiring Data Scientists, looking for Business Cases to add to their Portfolio
  • Technology Enthusiasts interested in leveraging Machine Learning and Artificial Intelligence to solve Business Problems
  • Consultants, who want to transition companies into AI Driven Businesses

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Instructor Details

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Hadelin is the co-founder and Director of Technology at BlueLife AI, which leverages the power of cutting edge Artificial Intelligence to empower businesses to make massive profits by optimizing processes, maximizing efficiency and increasing profitability. Hadelin is also an online entrepreneur who brings educational e-courses to the world on topics such as Machine Learning, Deep Learning, Artificial Intelligence and Blockchain, which have reached over 600,000 subscribers in 204 countries.My name is Kirill Eremenko and I am super-psyched that you are reading this!
Professionally, I am a Data Science management consultant with over five years of experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and today I leverage Big Data to drive business strategy, revamp customer experience and revolutionize existing operational processes.
From my courses you will straight away notice how I combine my real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. I am also passionate about public speaking, and regularly present on Big Data at leading Australian universities and industry events.
To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!Hi there,
We are the SuperDataScience Social team. You will be hearing from us when ne

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Reviews

4.6

50 total reviews

5 star 4 star 3 star 2 star 1 star
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By Ali̇ Kemal Ağirman

The hard theories were explained really well,

By Werner Bogula

good small portion, detailed explanation, easy to follow

By Darian Fortune

I found that the title doesn't match the content in that my understanding was that this would be more business orientated but I find it too technical.

By Mung Lun L. Yuen

The voice is a little soft when listening on Android phone without the speaker or earphone. It is fine when watching on desktop computers.

By Daniel Davis

For me to fully understand an equation all variables subscripts need to be defined individually. Large portions of the MDP equation are not defined like the symbol y=.9. V = ? a value?, a= ?, R=?, R(s,a) = 0? why is it there? I move forward with a feeling of uncertainty. It takes just a little time to be thorough. Say it in writing with it defined as a variable or a script.

By Bilal Ghazi

This course is very informative and easy to understand, this will help us to bring efficiency in our business model, I really recommend this course to the people who wants to improve their business models for better efficiency.

By Rajesh Magan Patil

it's good and awesome

By Lu Kanth

I thought it would be a high level AI, but turned out to be a low level

By Trevor Weir

I haven't finished this course yet, but I have had great experiences following this gentleman in the past. No reason to assume I won't this time.

By JayhnYoon

it seems like whole lecture is well construsted and lecturer is very sincere

but it's hard to concentrate on lecture for several reasons

repeating same words, terms and others what lecture talked. plus those are introductions,

so i was in attitude "ok that's interesting term, what is that? -> ok, i got it and then? -> ok. i got that thing please go next -> i mean, what is next?->omg there were much easier term why did you not just talk that first? and so what is next?'

As English is my second language, of course it mainly would be my problem of listening, not lecturer's, but i am listening many lectures in English and it was bit spread presentation. some part would be improved if voice is re-recorded with more clear pronunciation, slow talk, and not using 'like'. i needed twice more time to listen this lecture than originally planned.

By Frederick Barr

All of the courses presented by Kirill and others have been immensely important in helping me understand and implement machine learning. I recommend these courses to all.

By Macy Leung

Structured approach and clear illustrations.