💾 6 AI courses from Anthropic for free

If you work with AI, agents, or APIs, this is the foundation that developers in top companies are currently going through.

▶️ Working with the Claude API

https://anthropic.skilljar.com/claude-with-the-anthropic-api 

▶️ Introduction to Model Context Protocol (MCP)

https://anthropic.skilljar.com/introduction-to-model-context-protocol 

▶️ Claude in Amazon Bedrock

https://anthropic.skilljar.com/claude-in-amazon-bedrock 

▶️ Claude in Google Cloud (Vertex AI)

https://anthropic.skilljar.com/claude-with-google-vertex 

▶️ Advanced MCP

https://anthropic.skilljar.com/model-context-protocol-advanced-topics 

▶️ Claude Code in Practice

https://anthropic.skilljar.com/claude-code-in-action 

tags: #courses #ai

➡ https://t.iss.one/CodeProgrammer

🤖 Best GitHub repositories to learn AI from scratch in 2026

If you want to understand AI not through "vacuum" courses, but through real open-source projects - here's a top list of repos that really lead you from the basics to practice:

1) Karpathy – Neural Networks: Zero to Hero 
The most understandable introduction to neural networks and backprop "in layman's terms"
https://github.com/karpathy/nn-zero-to-hero

2) Hugging Face Transformers 
The main library of modern NLP/LLM: models, tokenizers, fine-tuning 
https://github.com/huggingface/transformers

3) FastAI – Fastbook 
Practical DL training through projects and experiments 
https://github.com/fastai/fastbook

4) Made With ML 
ML as an engineering system: pipelines, production, deployment, monitoring 
https://github.com/GokuMohandas/Made-With-ML

5) Machine Learning System Design (Chip Huyen) 
How to build ML systems in real business: data, metrics, infrastructure 
https://github.com/chiphuyen/machine-learning-systems-design

6) Awesome Generative AI Guide 
A collection of materials on GenAI: from basics to practice 
https://github.com/aishwaryanr/awesome-generative-ai-guide

7) Dive into Deep Learning (D2L) 
One of the best books on DL + code + assignments 
https://github.com/d2l-ai/d2l-en

Save it for yourself - this is a base on which you can really grow into an ML/LLM engineer.

#Python #datascience #DataAnalysis #MachineLearning #AI #DeepLearning #LLMS

https://t.iss.one/CodeProgrammer