I regularly get questions on resources to learn certain topics, especially AI and Data. As these fields are growing really fast, I think we need resources to learn, but most importantly to stay up-to-date.
Here is a collection of resources and links for the AI part! You can bookmark for future reference and reshare with your network!
Courses:
- AI for Everyone by deeplearning.ai — A beginner-friendly course providing a broad overview of AI : https://www.deeplearning.ai/courses/ai-for-everyone/
- Deep Learning Specialization — Immerse yourself in the world of deep learning on Coursera : https://www.coursera.org/specializations/deep-learning
- Advanced Learning Algorithms by Stanford University : https://www.coursera.org/learn/advanced-learning-algorithms?specialization=machine-learning-introduction
- How to use Artificial Intelligence — A Guide for Everyone! — Your gateway to understanding AI, designed for everyone (non-technical) : https://www.udemy.com/course/how-to-use-artificial-intelligence-a-guide-for-everyone/?couponCode=LINKEDIN2024 (Author’s course / Link with discounted price)
Newsletters :
- The Batch Newsletter by deeplearning.ai — Stay updated with the latest AI trends : https://www.deeplearning.ai/the-batch/
- AlphaSignal Newsletter — Cutting-edge insights and updates on AI : https://alphasignal.ai
- Beyond Horizon by Wassim Jouini — BoredGeekSociety — Explore the intersection of technology and society, as well as AI usage in business context, how to drive ROI and how to leverage Open Source : https://boredgeeksociety.beehiiv.com
- Marvelous MLOps — Insights and best practices in Machine Learning Operations https://marvelousmlops.substack.com/
- AI, MLOps, and Robotics by Sage Elliott — Learn new tool releases, events, and research papers on AI, MLOps, and Robotics : https://www.linkedin.com/newsletters/7017658190519574528/
Books:
- AI For Dummies by Luca Massaron — Demystify AI in an accessible way, perfect for beginners : https://www.amazon.fr/Artificial-Intelligence-for-Dummies/dp/B07NGNJ5TY
- Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World by Karim Lakhani : https://www.amazon.com/Competing-Age-AI-Leadership-Algorithms-ebook/dp/B07MWCTNSD
- The Business Case for AI by Kavita Ganesan — A leader’s guide to implementing AI strategies in real-world scenarios : https://www.amazon.com/Business-Case-Strategies-Real-World-Applications-ebook/dp/B09TRS55K8
Blogs
- Machine Learning Mastery by Jason Brownlee — Practical insights and tutorials on machine learning : https://machinelearningmastery.com/
- The Gradient — Curated by former Tesla’s Director of AI, Andrej Karpathy, offering insightful essays and analyses covering AI research : https://thegradient.pub/
- MarkTechPost — (Aimed primarily at developers) Great in-depth articles and university research pieces : https://www.marktechpost.com/
- Great Learning — Extensive resources to learn about cloud basics, Python, and ML : https://www.mygreatlearning.com/blog/
???? LinkedIn Folks Worth Following:
- Wassim Jouini : Head of AI LegalPlace
- Zach Wilson — Founder @ DataExpert.io
- Andrew Ng — Founder of DeepLearning.AI
- Dr. Joy Buolamwini — key voice in AI ethics
- Vincent Luciani : Co-founder & CEO @ Artefact
- Raphaël Hoogvliets : Tech Lead — MLOps Expert
- Eugene Yan — talks about ML, Recsys, LLMs @ Amazon
And last but not least, on Medium, here are some great publications in the area of Data Science and AI:
- Towards Data Science : https://towardsdatascience.com/
- Artificial Intelligence in Plain English : https://ai.plainenglish.io/
- Plumbers of Data Science : https://medium.com/plumbersofdatascience
- Towards AI : https://pub.towardsai.net/