Artificial Intelligence for Business + ChatGPT Prize [2025]
Solve Real World Business Problems with AI Solutions implemented in Python. Code templates included.
4.59 (4639 reviews)
![Artificial Intelligence for Business + ChatGPT Prize [2025]](https://thumbs.comidoc.net/750/1990136_15e0_10.jpg)
33 056
students
15 hours
content
Mar 2025
last update
$124.99
regular price
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
Course Gallery
![Artificial Intelligence for Business + ChatGPT Prize [2025] – Screenshot 1](https://cdn-screenshots.comidoc.net/1990136_1.png)
![Artificial Intelligence for Business + ChatGPT Prize [2025] – Screenshot 2](https://cdn-screenshots.comidoc.net/1990136_2.png)
![Artificial Intelligence for Business + ChatGPT Prize [2025] – Screenshot 3](https://cdn-screenshots.comidoc.net/1990136_3.png)
![Artificial Intelligence for Business + ChatGPT Prize [2025] – Screenshot 4](https://cdn-screenshots.comidoc.net/1990136_4.png)
Charts
Students
Price
Rating & Reviews
Coupons Issued
Enrollment Distribution
Comidoc Review
Our Verdict
Gain valuable insights into the practical applications of Artificial Intelligence for Business (+ ChatGPT Prize [2025]) on Udemy. Enhance your understanding of complex mathematical theories, work with hands-on Python code templates, and tackle real-world business challenges. While some improvements in presenting engaging examples and clarity in AI technique selection are suggested, the course's overall content remains top-notch for those serious about diving into practical AI implementations.
What We Liked
- Comprehensive coverage of AI concepts and techniques relevant for business applications
- Well-structured, in-depth explanations of complex mathematical theories like Markov decision chains
- High-quality code templates and practical exercises using Python
- Addresses various AI techniques such as Q-Learning, Deep Q-Learning, Thompson Sampling
- Incorporates the General AI Framework to optimize business processes, revenues, and minimize costs
Potential Drawbacks
- Real-world examples could be more engaging and relatable to genuine enterprise problems
- More clarity is needed on when to use certain AI techniques over others
- Presentation of some course materials seemed rushed or unstructured, affecting understanding
- Audio issues in some sections with instructors speaking too softly and lengthy talkovers without video animation
1990136
udemy ID
26/10/2018
course created date
16/08/2019
course indexed date
Bot
course submited by