| File Name: | 50 AI Projects – Machine Learning & Deep Learning in Action |
| Content Source: | https://www.udemy.com/course/ai-projects-machine-learning-deep-learning/?couponCode=LETSLEARNNOW |
| Genre / Category: | Other Tutorials |
| File Size : | 3.1 GB |
| Publisher: | Gaël Menou |
| Updated and Published: | July 8, 2025 |
The most practical, scalable, and actionable artificial intelligence course ever published on Udemy.
Build. Test. Deploy. Learn by doing — not just by watching.
The Largest Collection of Reusable AI Projects — Always Growing
This course has a bold mission:
To build the largest, real-world-focused AI project library on Udemy.
Every project is designed for practical use — powered by machine learning and deep learning — and ready to be adapted or deployed in your own apps or products.
- 7 fully completed projects available right now
- New projects added every month
- Goal: 50 ready-to-use AI projects in the coming months
- Then on to 100 AI projects — with no extra cost to you
Buy Early, Pay Less
The course price will gradually increase as new projects are added.
The earlier you join, the more value you get at a lower price.
Who this course is for:
- Developers, data scientists, and self-learners who want to build real AI projects, not just follow theory
- Freelancers and entrepreneurs looking to integrate AI into their products or services quickly and efficiently
- Students and teachers in AI, computer science, or data science seeking practical, classroom-ready projects
- Curious minds and AI enthusiasts who prefer learning by doing, not just watching
- Anyone who wants to reuse ready-to-deploy AI code for real-world use cases
DOWNLOAD LINK: 50 AI Projects – Machine Learning & Deep Learning in Action
50_AI_Projects_Machine_Learning_Deep_Learning_in_Action.part1.rar – 1000.0 MB
50_AI_Projects_Machine_Learning_Deep_Learning_in_Action.part2.rar – 1000.0 MB
50_AI_Projects_Machine_Learning_Deep_Learning_in_Action.part3.rar – 1000.0 MB
50_AI_Projects_Machine_Learning_Deep_Learning_in_Action.part4.rar – 126.8 MB
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