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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.
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.
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🐱 Julius AI — a neural network for data analysis without complex tools!
This service helps you work with spreadsheets, statistics, and large datasets without having to manually create formulas or understand complex analysis tools. You upload a file, and Julius AI analyzes the data, finds patterns, creates charts, and explains the results in simple language.
📌 Here's the link: julius.ai
This service helps you work with spreadsheets, statistics, and large datasets without having to manually create formulas or understand complex analysis tools. You upload a file, and Julius AI analyzes the data, finds patterns, creates charts, and explains the results in simple language.
📌 Here's the link: julius.ai
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🚀 21-Day CCNA & CCNP Sprint – Aug 17 to Sep 6
🤝 Peer Group – Share Insights | Exchange Knowledge | Support Each Other
No more studying alone. Join a community of CCNA/CCNP candidates, learn together, and win prizes.
How it works:
① DM admin: "I'M IN + cert name"
② Join the group
③ Check in 18/21 days → win 🎁
Prizes (first come, first served):
$50 Amazon card ×1 | SD-Access Training ×1 | SD-WAN Training ×1 | CCNA Pro Package ×10 | Free Learning Pack (all finishers)
Daily check-in:
1️⃣ What you learned
2️⃣ Explain it in your own words
3️⃣ (Optional) Ask the group
Join now: https://chat.whatsapp.com/KZrAj2HZ3Y5K9UhhNhrApf
DM to register: https://wa.me/8619559123054
🤝 Peer Group – Share Insights | Exchange Knowledge | Support Each Other
No more studying alone. Join a community of CCNA/CCNP candidates, learn together, and win prizes.
How it works:
① DM admin: "I'M IN + cert name"
② Join the group
③ Check in 18/21 days → win 🎁
Prizes (first come, first served):
$50 Amazon card ×1 | SD-Access Training ×1 | SD-WAN Training ×1 | CCNA Pro Package ×10 | Free Learning Pack (all finishers)
Daily check-in:
1️⃣ What you learned
2️⃣ Explain it in your own words
3️⃣ (Optional) Ask the group
Join now: https://chat.whatsapp.com/KZrAj2HZ3Y5K9UhhNhrApf
DM to register: https://wa.me/8619559123054
❤1
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A Collection of Machine Learning Libraries for Python 🤖
A large repository containing over 900 libraries and frameworks for machine learning. 📚
All projects are sorted by quality and popularity, which helps you quickly find the best tools for working with AI and ML. ⚙️
Repo: https://github.com/ml-tooling/best-of-ml-python?tab=readme-ov-file#vector-similarity-search-ann
#MachineLearning #Python #AI #DataScience #MLTools #Programming
✨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
A large repository containing over 900 libraries and frameworks for machine learning. 📚
All projects are sorted by quality and popularity, which helps you quickly find the best tools for working with AI and ML. ⚙️
Repo: https://github.com/ml-tooling/best-of-ml-python?tab=readme-ov-file#vector-similarity-search-ann
#MachineLearning #Python #AI #DataScience #MLTools #Programming
✨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
❤5
Updated CS 8803 "Large Language Model" course at Georgia Tech for 2026.
The list of materials covers pre-training, Mixture of Experts (MoE), reasoning, reinforcement learning and self-play, agents, long context, scaling during inference, diffusion language models, safety, interpretability, and much more.
- https://cocoxu.github.io/CS8803-LLM-spring2026/
- https://docs.google.com/spreadsheets/d/1Oisf4imoNL3fs4UWGYAUlMCuYfCACMHCDb0iqEYU8wc/edit?usp=sharing
The list of materials covers pre-training, Mixture of Experts (MoE), reasoning, reinforcement learning and self-play, agents, long context, scaling during inference, diffusion language models, safety, interpretability, and much more.
- https://cocoxu.github.io/CS8803-LLM-spring2026/
- https://docs.google.com/spreadsheets/d/1Oisf4imoNL3fs4UWGYAUlMCuYfCACMHCDb0iqEYU8wc/edit?usp=sharing
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🔖 Practical roadmap for LLM inference
We found a repository where the entire process is built around a single inference service.
First, you analyze the basic architecture, then you run the model, connect metrics, and test it with a load of 1000+ concurrent requests, and then you move on to performance optimization.
⛓ Link to GitHub
https://github.com/patchy631/time-to-first-token
We found a repository where the entire process is built around a single inference service.
First, you analyze the basic architecture, then you run the model, connect metrics, and test it with a load of 1000+ concurrent requests, and then you move on to performance optimization.
⛓ Link to GitHub
https://github.com/patchy631/time-to-first-token
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A practical repository for learning about transformers through Jupyter notebooks.
12 chapters: from the basics of the architecture to model deployment. The code can be run directly in Google Colab.
https://github.com/Nicolepcx/transformers-the-definitive-guide
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Access GPT, Claude, Grok, Gemini, DeepSeek, Kimi, Qwen and more through one gateway.
Access leading models at prices below official API list rates.
🔌 One unified gateway
Connect apps, agents and coding tools with one Smart API key.
Track every request, token and cost in one place.
Choose model groups with ordered fallback options.
⚡️ Mode Website:
https://modelflare.dev/
https://modelflare.dev/pricing
https://xn--r1a.website/+GxEEPAsQ0ERiOGUx
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Data Analytics
Don't forget to try it; it's free and includes most AI models.
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Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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Machine Learning with Python
Channel • 7.9K followers • Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.