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Free AI/ML LLM Fundamentals Course

  Free AI/ML LLM Fundamentals Course Save 1000s of dollars. Bookmark this and follow the curriculum below. You want to learn AI/ML LLM? I have curated the Best FREE AI/ML roadmap that covers essential knowledge about maths, Python, NNs with hands-on projects Learning. 🙏 Help me spread the free courses! Kindly like, repost and comment! ♻️ Google Courses https://www.cloudskillsboost.google/?qlcampaign=6y-in1-event-90 𝟭. 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝘀 𝗳𝗼𝗿 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 • Linear Algebra - 3Blue1Brown: https://lnkd.in/ejApha3z • Immersive Linear Algebra: https://lnkd.in/ekaUs4Wz • Linear Algebra - KA: https://lnkd.in/emCEHTq5 • Calculas - KA: https://lnkd.in/emCEHTq5 • Statistics and Probability - KA: https://lnkd.in/e6_SirMr 𝟮. 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 • Real Python: https://realpython.com • Learn Python - freecodecamp: https://lnkd.in/ejfBftNf • Python Data Science: https://lnkd.in/g4ZysfEe • ML for Everybody: https://lnkd.in/ehR6xaG...

Cloud Computing and data storage terminology glossary

1. Control Plane  The control plane provides management and orchestration across an organization's cloud environment. This is where configuration baselines are set, user and role access are provisioned, and applications sit so they can execute with related services. 2. Cloud computing service Types IaaS, PaaS & SaaS Within the cloud deployment models, there are several types of cloud services, including infrastructure, platforms, and software applications. Cloud service models are not mutually exclusive, and you can choose to use more than one in combination or even all of them at once. Here are the three main cloud service models: Infrastructure as a Service (IaaS) IaaS delivers on-demand infrastructure resources, such as compute, storage, networking, and virtualization. With IaaS, the service provider owns and operates the infrastructure, but customers will need to purchase and manage software, such as operating systems, middleware, data, and applications. Platform as a Serv...

𝐅𝐑𝐄𝐄 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 𝐲𝐨𝐮 𝐰𝐢𝐥𝐥 𝐫𝐞𝐠𝐫𝐞𝐭 𝐧𝐨𝐭 𝐭𝐚𝐤𝐢𝐧𝐠 𝐢𝐧 𝟐𝟎𝟐𝟒

1 Introduction Generative Al imp.i384100.net/5gNjVj 2. Generative AI with Large Language Models imp.i384100.net/k0qRez 2 a) React Fundamentals imp.i384100.net/9gYeRW 2 b) Angular: imp.i384100.net/eKWR9r 2 c) SEO: imp.i384100.net/xkGnW5 3. Generative Adversarial Networks (GANs) Specialization imp.i384100.net/DKNLPn 4. Introduction to Artificial Intelligence (AI) imp.i384100.net/QyQKoA 5. AI Engineering imp.i384100.net/9gYeRy 6. Natural Language Processing Specialization imp.i384100.net/rQPgZR 7. Deep Learning Specialization imp.i384100.net/jrL1k5 8. Generative AI for Data Scientists Specialization imp.i384100.net/k0qReN 9. IBM Data Science Professional Certificate imp.i384100.net/AWNK91 10. Introduction to Data Science imp.i384100.net/GmNDek 11. Learn SQL Basics for Data Science imp.i384100.net/Vm54E3 12. Excel for Business imp.i384100.net/g1EojB 13. Python for Everybody imp.i384100.net/B0MKrL 14. Machine Learning Specialization imp.i384100.net/WqkYnM 15. SQL for Data Science imp.i38410...

Learning Data Structures and Algorithms from scratch

If I had to start learning Data Structures and Algorithms from scratch, I would begin with these 20 articles to get a head start: 1) 𝐓𝐢𝐦𝐞 𝐂𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲: https://lnkd.in/gWDD83fm 2) 𝐁𝐢𝐠-𝐎 𝐂𝐡𝐞𝐚𝐭 𝐒𝐡𝐞𝐞𝐭: https://lnkd.in/gsaAWbSs 3) 𝐒𝐨𝐫𝐭𝐢𝐧𝐠 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬: https://lnkd.in/g9npW9JN 4) 𝐋𝐢𝐧𝐤𝐞𝐝 𝐋𝐢𝐬𝐭: https://lnkd.in/gXQux4zj 5) 𝐐𝐮𝐞𝐮𝐞: https://lnkd.in/gJaGSafT 6) 𝐒𝐭𝐚𝐜𝐤𝐬: https://lnkd.in/gBtqxeJH 7) 𝐇𝐚𝐬𝐡 𝐓𝐚𝐛𝐥𝐞𝐬: https://lnkd.in/gCfWr7Eg 8) 𝐇𝐞𝐚𝐩𝐬: https://lnkd.in/gS6SVF5A 9) 𝐑𝐞𝐜𝐮𝐫𝐬𝐢𝐨𝐧: https://lnkd.in/gQiasy8H 10) 𝐁𝐚𝐜𝐤𝐭𝐫𝐚𝐜𝐤𝐢𝐧𝐠: https://lnkd.in/g8Vge2p9 11) 𝐓𝐫𝐞𝐞: https://lnkd.in/gRfmJVDf 12) 𝐁𝐢𝐧𝐚𝐫𝐲 𝐒𝐞𝐚𝐫𝐜𝐡 𝐓𝐫𝐞𝐞: https://lnkd.in/g7QYyVWy 13) 𝐓𝐫𝐢𝐞𝐬: https://lnkd.in/gTp3n4CP 14) 𝐁𝐢𝐧𝐚𝐫𝐲 𝐒𝐞𝐚𝐫𝐜𝐡: https://lnkd.in/gKEm_qUK 15) 𝐆𝐫𝐞𝐞𝐝𝐲 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦: https://lnkd.in/gUMnuQ26 16) 𝐃𝐲𝐧𝐚𝐦𝐢𝐜 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠: https://lnkd.in/gtXQsyXT 17) 𝐆𝐫𝐚𝐩𝐡 𝐓𝐡𝐞𝐨𝐫𝐲...

Free online courses from Nvidia

NVIDIA just released FREE online courses in AI. Here are 5 courses you can't afford to miss: __________ 1. Generative AI Explained What you'll learn: • Generative AI and how it works. • Various Generative AI applications. • Challenges and opportunities in Generative AI Link: https://lnkd.in/gTAJ-sKa __________ 2. Building A Brain in 10 Minutes What you'll learn: • Exploring how neural networks use data to learn • Understanding the math behind a neuron Link: https://lnkd.in/gvVrqwZF __________ 3. Augment your LLM with Retrieval Augmented Generation: What you'll learn: • Basics of Retrieval Augmented Generation • RAG retrieval process • NVIDIA AI Foundations and RAG model components Link: https://lnkd.in/g8hYube9 __________ 4. AI in the Data Center: What you'll learn: • AI use cases, Machine Learning, Deep Learning, and their workflows. • GPU architecture and its impact on AI. • Deep learning frameworks, and deployment considerations. Link: https://lnkd.in/gvNzawxe __...