🔖 5 Free Courses on AI Agents

1. https://huggingface.co/learn/agents-course — AI Agents Course 🤗

2. https://deeplearning.ai/courses/ai-agents-in-langgraph — AI Agents in LangGraph 🧠

3. https://deeplearning.ai/short-courses/multi-ai-agent-systems-with-crewai/ — Multi AI Agent Systems with CrewAI 🤖

4. https://microsoft.github.io/AI-For-Beginners/agentic-ai/ — AI Agents for Beginners 🚀

5. https://deeplearning.ai/courses/building-code-agents-with-hugging-face-smolagents — Building Code Agents with Hugging Face smolagents 💻

If you want to learn about Agentic AI, save this collection. 💾

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🤖 AI & Machine Learning

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React - ❤️ for more posts like this 🚀

"Introduction to Machine Learning" is another free textbook on machine learning, approximately 600 pages long, which emphasizes a deep mathematical understanding of the subject. 📚🧮

The book begins with the mathematical foundations necessary for further study: linear algebra, mathematical analysis, probability theory, matrix analysis, and optimization methods. It then covers the main supervised learning algorithms: linear and logistic regression, the k-nearest neighbors method, decision trees, random forests, boosting, and neural networks. 🤖📈

A significant portion of the book is dedicated to probabilistic and generative models. It discusses Monte Carlo methods, graphical models, Bayesian networks, variational methods, normalizing flows, variational autoencoders (VAEs), and generative adversarial networks (GANs). 🎲🧠

The final chapters discuss clustering, principal component analysis (PCA), learning on manifolds, and theoretical estimates of a model's ability to generalize. 🔍📊

In my opinion, this is an excellent resource for those who want to gain a broad understanding of machine learning and understand the mathematics underlying the key methods, rather than treating them as "black boxes." 💡✨

https://arxiv.org/pdf/2409.02668

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🔖 A comprehensive collection of resources on MLOps

We've found a useful collection for those who want to go beyond just training models and delve into their deployment and operation.

This repository contains the best materials on deploying, monitoring, automating ML pipelines, CI/CD, and other practices that are essential for production systems.

⛓ Link to GitHub
https://github.com/visenger/awesome-mlops

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🧿ANTHROPH\C Launches 13 Free AI Courses

Anthropic Academy has announced 13 free AI courses. The courses cover the following topics:

• Working with Claude
• AI Fundamentals
• AI Agents
• Model Context Protocol (MCP)
• Claude Code
• Working with APIs
• Enterprise AI
• Google Cloud Vertex AI and Amazon Bedrock Integration


1. Claude 101

2. AI Fluency: Framework & Foundations

3. Introduction to Agent Skills

4. Building with the Claude API

5. Claude Code in Action

6. Introduction to Model Context Protocol (MCP)

7. MCP: Advanced Topics

8. AI Fluency for Students

9. AI Fluency for Educators

10. Teaching AI Fluency

11. AI Fluency for Small Businesses

12. Claude with Amazon Bedrock

13. Claude with Google Cloud Vertex AI

The courses are designed for a wide audience, from beginners to developers, educators, students, and business owners.