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Start Your Free Trial Today >>Solve Real World Business Problems with AI Solutions implemented in Python
Structure of the course:
Part 1 - Optimizing Business Processes
Case Study: Optimizing the Flows in an E-Commerce Warehouse
AI Solution: Q-LearningPart 2 - Minimizing Costs
Case Study: Minimizing the Costs in Energy Consumption of a Data Center
AI Solution: Deep Q-LearningPart 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:
Optimize Business Processes
Minimize Costs
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, weāve 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.
$35
/ MonthAccelerate your Career and boost your Earning Potential with our Expert Instructors & Community! What Youāll Unlock: - š 40+ Courses (over 200 hours!) - š 17 Specialized Career Paths - š Quizzes and Practice Activities - š Certificates for Courses & Career Paths - š Prizes for Learning - š§Ŗ Weekly Live Labs (plus recordings!) - šÆ Monthly Missions to practice even more - š¼ Monthly Career Booster Events - š¬ Full access to the SDS Community - ā” Monthly Speed Networking - š„ Monthly Resume Clinics - š„ Group Mentorship Program "In just a few months of learning at SDS, I landed a Data Analyst job!" ā Sanaz Afshar, California
$157
/ MonthAccelerate your Career and boost your Earning Potential with our Expert Instructors & Community! What Youāll Unlock: - š 40+ Courses (over 200 hours!) - š 17 Specialized Career Paths - š Quizzes and Practice Activities - š Certificates for Courses & Career Paths - š Prizes for Learning - š§Ŗ Weekly Live Labs (plus recordings!) - šÆ Monthly Missions to practice even more - š¼ Monthly Career Booster Events - š¬ Full access to the SDS Community - ā” Monthly Speed Networking - š„ Monthly Resume Clinics - š„ Group Mentorship Program Plus, Pro Plan perks just for you: - š A Personalized Career Path built around your goals - š§āš« 1-on-1 Mentoring Sessions every month - āļø Personalized Resume Reviews "In just a few months of learning at SDS, I landed a Data Analyst job!" ā Sanaz Afshar, California
Course content
Optimizing Business Processes - Step 5
08:44
Optimizing Business Processes - Step 6
03:58
Optimizing Business Processes - Step 7
05:39
Optimizing Business Processes - Step 8
08:20
Optimizing Business Processes - Step 9
04:56
Optimizing Business Processes - Step 10
04:39
Optimizing Business Processes - Step 11
07:37
Optimizing Business Processes - Step 12
07:37
Optimizing Business Processes - Step 13
03:49
Optimizing Business Processes - Step 14
08:43
Optimizing Business Processes - Step 15
05:06
Optimizing Business Processes - Step 16
07:27
Optimizing Business Processes - Step 17
04:47
Optimizing Business Processes - Step 18
04:16
Optimizing Business Processes - Step 19
07:39
Optimizing Business Processes - Step 20
14:58
Minimizing Costs - Step 4
05:38
Minimizing Costs - Step 5
10:45
Minimizing Costs - Step 6
07:02
Minimizing Costs - Step 7
09:47
Minimizing Costs - Step 8
09:56
Minimizing Costs - Step 9
04:57
Minimizing Costs - Step 10
08:57
Minimizing Costs - Step 11
10:12
Minimizing Costs - Step 12
09:58
Minimizing Costs - Step 13
04:19
Minimizing Costs - Step 14
08:29
Minimizing Costs - Step 15
06:47
Minimizing Costs - Step 16
02:23
Minimizing Costs - Step 17
07:15
Minimizing Costs - Step 18
04:55
Minimizing Costs - Step 19
12:29
Minimizing Costs - Step 20
08:58
Minimizing Costs - Step 21
04:20
Minimizing Costs - Step 22
05:58
Minimizing Costs - Step 23
04:36
Minimizing Costs - Step 24
12:20
Minimizing Costs - Step 25
15:58
Minimizing Costs - Step 26
08:13
Minimizing Costs - Step 27
07:13
Minimizing Costs - Step 28
12:42
Minimizing Costs - Step 29
14:40
Minimizing Costs - Step 30
06:33
Minimizing Costs - Step 31
12:12
Minimizing Costs - Step 32
06:34
Installing Keras
Minimizing Costs - Step 33
15:43
Minimizing Costs - Step 34
10:09
Minimizing Costs - Step 35
07:44
Minimizing Costs - Step 36
07:45
Maximizing Revenues - Step 4
08:03
Maximizing Revenues - Step 5
04:11
Maximizing Revenues - Step 6
08:49
Maximizing Revenues - Step 7
09:59
Maximizing Revenues - Step 8
09:40
Maximizing Revenues - Step 9
07:16
Maximizing Revenues - Step 10
07:36
Maximizing Revenues - Step 11
05:40
Maximizing Revenues - Step 12
09:10
Maximizing Revenues - Step 13
02:00
Maximizing Revenues - Step 14
06:40
Maximizing Revenues - Step 15
07:22
Maximizing Revenues - Step 16
12:09