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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...

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...

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 __...

If I had to start learning System Design from scratch, I would begin with these 25 articles to get a head start: 1) Scalability: https://lnkd.in/gx-sPXZm 2) Horizontal vs Vertical Scaling: https://lnkd.in/gAH2e9du 3) Latency vs Throughput: https://lnkd.in/g_amhAtN 4) Load Balancing: https://lnkd.in/gQaa8sXK 5) Caching: https://lnkd.in/gC9piQbJ 6) ACID Transactions: https://lnkd.in/gMe2JqaF 7) SQL vs NoSQL: https://lnkd.in/g3WC_yxn 8) Database Indexes: https://lnkd.in/gCeshYVt 9) Database Sharding: https://lnkd.in/gMqqc6x9 10) Content Delivery Network (CDN): https://lnkd.in/gjJrEJeH 11) Strong vs Eventual Consistency: https://lnkd.in/gJ-uXQXZ 12) Batch Processing vs Stream Processing: https://lnkd.in/g4_MzM4s 13) Concurrency vs Parallelism: https://lnkd.in/gSKUm2Nh 14) Synchronous vs. asynchronous communications: https://lnkd.in/gC3F2nvr 15) Rest vs RPC: https://lnkd.in/gN__zcAB 16) CAP Theorem: https://lnkd.in/g3hmVamx 17) Reverse Proxy: https://lnkd.in/gFwWFDu8 18) Domain Name System...

Buy this mic from Amazon - https://amzn.to/41X5FLW 𝐍𝐎𝐓𝐄:* 𝐎𝐩𝐩𝐨/𝐯𝐢𝐯𝐨/𝐱𝐢𝐚𝐨𝐦𝐢/𝐨𝐧𝐞𝐩𝐥𝐮𝐬/𝐫𝐞𝐚𝐥𝐦𝐞 brand mobile phones, if the connection is unsuccessful ,please go to the settings, searching "𝐎𝐓𝐆" - turn on 𝐎𝐓𝐆 power supply. * Some mobile phones in Android system 𝐜𝐚𝐧𝐧𝐨𝐭 𝐮𝐬𝐞 𝐭𝐡𝐞𝐢𝐫 𝐨𝐰𝐧 𝐜𝐚𝐦𝐞𝐫𝐚𝐬 𝐭𝐨 𝐬𝐡𝐨𝐨𝐭 𝐚𝐮𝐝𝐢𝐨, please download "𝐎𝐩𝐞𝐧 𝐂𝐚𝐦𝐞𝐫𝐚" App. If you still face any issues in connecting, you can directly 𝐜𝐨𝐧𝐭𝐚𝐜𝐭 𝐮𝐬. 🎵𝐂𝐎𝐌𝐏𝐀𝐓𝐈𝐁𝐋𝐄 𝐖𝐈𝐓𝐇 𝐌𝐀𝐍𝐘 𝐃𝐄𝐕𝐈𝐂𝐄𝐒 - Grenaro 3 in 1 receiver Compatible for 𝐓𝐲𝐩𝐞-𝐂 𝐀𝐧𝐝𝐫𝐨𝐢𝐝/𝐢𝐏𝐡𝐨𝐧𝐞/𝐂𝐚𝐦𝐞𝐫𝐚𝐬/𝐋𝐚𝐩𝐭𝐨𝐩. Just clip the wireless microphones to your collar and plug the receiver (𝐓𝐲𝐩𝐞-𝐂/𝐋𝐢𝐠𝐡𝐭𝐧𝐢𝐧𝐠/𝟑.𝟓𝐦𝐦 𝐩𝐨𝐫𝐭) on your devices, they will 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐜𝐚𝐥𝐥𝐲 𝐜𝐨𝐧𝐧𝐞𝐜𝐭. Just plug and play directly, APP and Bluetooth are not required. 🎵𝟑-𝐋𝐄𝐕𝐄𝐋 𝐍𝐎𝐈𝐒𝐄 𝐂𝐀𝐍𝐂𝐄𝐋𝐋𝐀𝐓𝐈𝐎𝐍 - ...