Forwarded from Machine Learning with Python
Learn AI for free directly from top companies. 🚀
1 - Anthropic:
anthropic.skilljar.com
2 - Google:
grow.google/ai
3 - Meta:
ai.meta.com/resources/
4 - NVIDIA:
developer.nvidia.com/cuda
5 - Microsoft:
learn.microsoft.com/en-us/training/
6 - OpenAI:
academy.openai.com
7 - IBM:
skillsbuild.org
8 - AWS:
skillbuilder.aws
9 - DeepLearning.AI:
deeplearning.ai
10 - Hugging Face:
huggingface.co/learn
💬 Comment "Learning" if you find this helpful.
🔄 Repost so others can take help.
🔖 Must bookmark for future reference.
#AI #MachineLearning #Tech #FreeLearning #DataScience #AIForAll
https://xn--r1a.website/CodeProgrammer
1 - Anthropic:
anthropic.skilljar.com
2 - Google:
grow.google/ai
3 - Meta:
ai.meta.com/resources/
4 - NVIDIA:
developer.nvidia.com/cuda
5 - Microsoft:
learn.microsoft.com/en-us/training/
6 - OpenAI:
academy.openai.com
7 - IBM:
skillsbuild.org
8 - AWS:
skillbuilder.aws
9 - DeepLearning.AI:
deeplearning.ai
10 - Hugging Face:
huggingface.co/learn
💬 Comment "Learning" if you find this helpful.
🔄 Repost so others can take help.
🔖 Must bookmark for future reference.
#AI #MachineLearning #Tech #FreeLearning #DataScience #AIForAll
https://xn--r1a.website/CodeProgrammer
Grow with Google US
AI Training to Grow Your Career | Google
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🔖 Building our own GPT-like model in PyTorch
We've found an excellent repository for those who want to understand how modern LLMs are built under the hood.
Inside — 10 Jupyter notebooks with step-by-step explanations and implementations of key components of language models.
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We've found an excellent repository for those who want to understand how modern LLMs are built under the hood.
Inside — 10 Jupyter notebooks with step-by-step explanations and implementations of key components of language models.
GitHub: https://github.com/analyticalrohit/llms-from-scratch
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Programming Valley
Learn SQL Basics for Data Science | Programming Valley
Course Overview This hands-on SQL specialization helps you build the foundational skills needed to analyze, transform, and manage data using SQL — the most in-demand language for data professionals.You’ll start from zero and progress through practical exercises…
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There are hundreds of AI channels on YouTube. Here's why we made another one.
Most AI content does one of two things: it stays so surface-level it teaches you nothing, or it goes so deep you need a PhD to follow along.
We built Guidely for everyone in between.
→ We start with absolute beginners in mind
→ Then take you deeper, until the details actually click
→ Every guide is reviewed by experienced AI engineers
→ We don't make more content. We make better content.
Whether you build, design, or market products, our goal is simple: leave you thinking "I've never seen it broken down this well."
Two good places to start 👇
→ AI vs ML vs Deep Learning vs GenAI ... But Done Right!
The terms everyone uses. The distinctions are almost never explained clearly. We fix that: youtu.be/72yyLA2wRWc
→ How to Break into AI Engineering in 2026
A senior applied scientist shares what actually matters: youtu.be/42vE7Ij4kdU
If AI has ever felt overwhelming or noisy, this channel is for you. If the content resonates with you, please don’t forget to like and subscribe.
Most AI content does one of two things: it stays so surface-level it teaches you nothing, or it goes so deep you need a PhD to follow along.
We built Guidely for everyone in between.
→ We start with absolute beginners in mind
→ Then take you deeper, until the details actually click
→ Every guide is reviewed by experienced AI engineers
→ We don't make more content. We make better content.
Whether you build, design, or market products, our goal is simple: leave you thinking "I've never seen it broken down this well."
Two good places to start 👇
→ AI vs ML vs Deep Learning vs GenAI ... But Done Right!
The terms everyone uses. The distinctions are almost never explained clearly. We fix that: youtu.be/72yyLA2wRWc
→ How to Break into AI Engineering in 2026
A senior applied scientist shares what actually matters: youtu.be/42vE7Ij4kdU
If AI has ever felt overwhelming or noisy, this channel is for you. If the content resonates with you, please don’t forget to like and subscribe.
YouTube
AI vs ML vs Deep Learning vs GenAI ... But Done Right!
Our blog comparing AI, Machine Learning, Deep Learning, and Generative AI has gained a lot of traction. If you prefer reading, you can check it out here:
https://guidely.tech/blog/ai-vs-machine-learning-vs-deep-learning-vs-genai
But we know not everyone…
https://guidely.tech/blog/ai-vs-machine-learning-vs-deep-learning-vs-genai
But we know not everyone…
❤2👍1
Data Analytics pinned «There are hundreds of AI channels on YouTube. Here's why we made another one. Most AI content does one of two things: it stays so surface-level it teaches you nothing, or it goes so deep you need a PhD to follow along. We built Guidely for everyone in between.…»
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Curates LLM tools and research for scientific discovery 🧬🔬
Repo: https://github.com/HKUST-KnowComp/Awesome-LLM-Scientific-Discovery 🔗🚀
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🌈SPOTO just dropped a bunch of 100% free study kits for 2026 – covering #Cisco, #AWS, #PMP, #AI, #Python, #Excel, and #Cybersecurity
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Tag a friend who's also on this journey – Get certified together! 💪
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Data Analytics
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Your second brain needs more than a demo chatbot
second-brain-ai-assistant-course is an open-source repository of a course from Decoding AI for developers who want to create an assistant for a personal knowledge base with LLMs, agents, RAGs, and LLMOps.
It helps transition from scattered notes to a full-fledged assistant through six modules: data pipelines, dataset generation, fine-tuning, deployment, advanced RAGs, and agent inference/observability.
Key features:
• Six modules - covers architecture, ETL, fine-tuning, deployment, RAGs, and LLMOps
• Offline + online applications - separates ML/data pipelines and the assistant's inference pipeline
• Notion support - uses the Second Brain knowledge base, a public snapshot is available, so a Notion account is not required
• Real LLMOps tools - includes ZenML, Opik, Comet, Unsloth, MongoDB, Hugging Face, and OpenAI
• Developer-oriented - module documentation, ready-made code, uv/ruff, and Docker infrastructure
Open source code (MIT license).
https://github.com/decodingai-magazine/second-brain-ai-assistant-course
second-brain-ai-assistant-course is an open-source repository of a course from Decoding AI for developers who want to create an assistant for a personal knowledge base with LLMs, agents, RAGs, and LLMOps.
It helps transition from scattered notes to a full-fledged assistant through six modules: data pipelines, dataset generation, fine-tuning, deployment, advanced RAGs, and agent inference/observability.
Key features:
• Six modules - covers architecture, ETL, fine-tuning, deployment, RAGs, and LLMOps
• Offline + online applications - separates ML/data pipelines and the assistant's inference pipeline
• Notion support - uses the Second Brain knowledge base, a public snapshot is available, so a Notion account is not required
• Real LLMOps tools - includes ZenML, Opik, Comet, Unsloth, MongoDB, Hugging Face, and OpenAI
• Developer-oriented - module documentation, ready-made code, uv/ruff, and Docker infrastructure
Open source code (MIT license).
https://github.com/decodingai-magazine/second-brain-ai-assistant-course
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🔥 Free IT Cert Resources – Grab Them While They're Hot!
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📊 Cloud Study Guide → https://bit.ly/4y0HyeW
🧠 Free Mock Exam → https://bit.ly/4ff8jos
Tag a friend who's also on this journey – Get certified together! 💪
🌐 Join the community: https://chat.whatsapp.com/FmbIbbqm2QhKglVpVTSH4d/
📲 Need personalized help? → https://wa.link/6k7042
🌈SPOTO just dropped a bunch of 100% free study kits for 2026 – covering #Cisco, #AWS, #PMP, #AI, #Python, #Excel, and #Cybersecurity
💥No signup traps, no hidden fees – just click and download.
📘 FREE Cert E‑Book → https://bit.ly/4wkiLAT
🪜 Online FREE Course → https://bit.ly/4vHFJSz
☁️ FREE AI Materials → https://bit.ly/4wdu7X6
📊 Cloud Study Guide → https://bit.ly/4y0HyeW
🧠 Free Mock Exam → https://bit.ly/4ff8jos
Tag a friend who's also on this journey – Get certified together! 💪
🌐 Join the community: https://chat.whatsapp.com/FmbIbbqm2QhKglVpVTSH4d/
📲 Need personalized help? → https://wa.link/6k7042
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🔖 One of the most useful books on Agentic AI
This is not just a textbook, but a comprehensive overview of modern LLMs, model training, RL, inference, quality assessment, and building AI agents.
It's an excellent option to get a holistic picture and understand which topics deserve deeper study.
⛓️ Link to the book
https://arxiv.org/abs/2606.24937
This is not just a textbook, but a comprehensive overview of modern LLMs, model training, RL, inference, quality assessment, and building AI agents.
It's an excellent option to get a holistic picture and understand which topics deserve deeper study.
⛓️ Link to the book
https://arxiv.org/abs/2606.24937