Resources » History » Version 1
Marian Banica, 07/01/2025 03:53 PM
1 | 1 | Marian Banica | # Resources |
---|---|---|---|
2 | |||
3 | Resources: |
||
4 | |||
5 | |_. Resource |_. Provider |_. Link |_. Description |_. Type |_. Cost | |
||
6 | | Microsoft Learn – AI | Microsoft | https://learn.microsoft.com/en-us/training/paths/introduction-artificial-intelligence/ | Free learning path introducing the basics of AI, including machine learning and computer vision. | Self-paced Modules | Free | |
||
7 | | IBM SkillsBuild – AI | IBM | https://skillsbuild.org/ | Offers AI-focused learning plans, including foundational and job-ready content in data science and AI. | Courses + Certifications | Free (registration required) | |
||
8 | | Google AI | Google | https://ai.google/education/ | Collection of AI educational material and tools from Google, including machine learning crash course. | Courses + Tools | Free | |
||
9 | | DeepLearning.AI | DeepLearning.AI (by Andrew Ng) | https://www.deeplearning.ai/ | Offers high-quality AI courses like "AI for Everyone" and "Deep Learning Specialization". | MOOCs (Coursera) | Free + Paid Certificates | |
||
10 | | Fast.ai | Fast.ai | https://www.fast.ai/ | Practical deep learning for coders with accessible, hands-on courses. | Courses | Free | |
||
11 | | AWS Machine Learning Learning Plan | Amazon Web Services | https://www.aws.training/Details/Plan/ML-FP | AI and ML learning paths using AWS services and tools. | Training Plan | Free | |
||
12 | | Elements of AI | University of Helsinki + Reaktor | https://www.elementsofai.com/ | Introductory course to AI designed for a broad audience, no programming needed. | Online Course | Free | |
||
13 | | OpenAI Cookbook | OpenAI | https://github.com/openai/openai-cookbook | Practical examples and guides for using OpenAI models and APIs. | Code Examples & Docs | Free | |
||
14 | |||
15 | https://streamlit.io/ |