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I learned AI Agents for absolutely free, you can do it too! AND... the best part is I got to learn from industry experts DeepLearning.AI has done a great job in making these courses. 1. Event-Driven Agentic Document Workflows with LlamaIndex - https://lnkd.in/d7vJEH4H 2. Long-Term Agentic Memory with LangGraph (LangChain) - https://lnkd.in/dKJ-B3ks   3. Build Apps with Windsurf's AI Coding Agents (Codeium) - https://lnkd.in/dTqjjt4Q   4. Building AI Applications with Haystack (by deepset) - https://lnkd.in/d7WnTvTr   5. Improving Accuracy of LLM Applications (Lamini) - https://lnkd.in/dcJvY6kg 6. Evaluating AI Agents (Arize AI) - https://lnkd.in/dvTNKSaq _______________ ♻️ Repost it to help others.  _______________ If you like this, and want more AI resources, images, tutorials, and tools, join Superhuman, my daily AI newsletter with 1M+ subs now: https://lnkd.in/dXQ9-B9A | 55 comments on LinkedIn

200+ hours of AI tutorials later, I found the 8 that actually matter: 1️⃣ LLM Introduction (Skip if you know transformers) → https://lnkd.in/g9r3Q3-2 Finally explained attention without the PhD 2️⃣ LLMs from Scratch (Reality check) → https://lnkd.in/gbpYBzeW Built one. Now I know why we use APIs. 3️⃣ Stanford's Agent Overview (Academic flex) → https://lnkd.in/gngXNJUc Good theory. Zero production code. 4️⃣ Building & Evaluating Agents (Where it gets real) → https://lnkd.in/gUm-JR5N First video that mentioned testing. Imagine that. 5️⃣ Building Effective Agents (The one that matters) → https://lnkd.in/gnMXPeym Watch this 3x. Everything else is noise. 6️⃣ Agents with MCP (Anthropic's gift) → https://lnkd.in/gbYGrvuk This protocol changes the entire game 7️⃣ Agent from Scratch (Pain = learning) → https://lnkd.in/gDgh354a No frameworks. Just tears and understanding. 8️⃣ Philo Agents (Production reality) → https://lnkd.in/gvNnyZJy What nobody else shows you These 8 videos = Everything you actually need Which tutorial finally made agents click for you? ♻️ Repost for that friend who keeps saying 'I'll learn AI agents next month' | 24 comments on LinkedIn

BOOM! Microsoft just dropped a FREE 18-episode series on Generative AI. Ideal for people who are new to AI & wanna start learning. Here are 5 episodes that stood out 𝗜𝘁 𝘄𝗶𝗹𝗹 𝘁𝗮𝗸𝗲 𝘆𝗼𝘂 𝗹𝗲𝘀𝘀 𝘁𝗵𝗮𝗻 𝟭.𝟱 𝗵𝗼𝘂𝗿𝘀 𝘁𝗼 𝘄𝗮𝘁𝗰𝗵 𝗮𝗹𝗹 𝘁𝗵𝗲𝘀𝗲: 👉 Introduction to Generative AI and LLMs https://lnkd.in/dxds5CXY 👉 Exploring and Comparing Different LLMs https://lnkd.in/dnu5sP68 👉 Understanding Prompt Engineering Fundamentals https://lnkd.in/d8t56acG 👉 Building Low-Code AI Applications https://lnkd.in/dKVXmdeK 👉 AI Agents – Introduces AI Agents, where LLMs can take actions via tools or frameworks. https://lnkd.in/d8VKw7Ve More resources are in the comments. Repost this post to help others in your network. | 91 comments on LinkedIn

Hugging Face 𝗷𝘂𝘀𝘁 𝗱𝗿𝗼𝗽𝗽𝗲𝗱 9 𝗙𝗥𝗘𝗘 𝗔𝗜 𝗰𝗼𝘂𝗿𝘀𝗲𝘀! If you’re trying to level up or pivot into AI — this is pure gold. 𝗔𝗹𝗹 OPEN. 𝗔𝗹𝗹 FREE. 𝗔𝗹𝗹 expert thaugt. Here’s what’s inside (with links): ⬇️ 1. 𝗟𝗟𝗠 𝗖𝗼𝘂𝗿𝘀𝗲 Master large language models fast. Train, fine-tune, deploy with Transformers. → https://lnkd.in/dcCMCs96 2. 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗖𝗼𝘂𝗿𝘀𝗲 Build multi-step reasoning agents with LangChain + HuggingFace. → https://lnkd.in/dJD3QRuT 3. 𝗗𝗲𝗲𝗽 𝗥𝗟 𝗖𝗼𝘂𝗿𝘀𝗲 Teach AI to learn like a human. Reward-based decision-making in real environments. → https://lnkd.in/d8JuRvn8 4. 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲 Image classification, segmentation, object detection — with HF models. https://lnkd.in/dEH8Tx-v 5. 𝗔𝘂𝗱𝗶𝗼 𝗖𝗼𝘂𝗿𝘀𝗲 Turn sound into signal. Voice recognition, music tagging, audio generation. → https://lnkd.in/dZtkA3sw 6. 𝗠𝗟 𝗳𝗼𝗿 𝗚𝗮𝗺𝗲𝘀 𝗖𝗼𝘂𝗿𝘀𝗲 AI-powered game design: NPCs, logic, procedural generation. → https://lnkd.in/d4RhU6pz 7. 𝗠𝗟 𝗳𝗼𝗿 3𝗗 𝗖𝗼𝘂𝗿𝘀𝗲 Work with point clouds, meshes, and 3D data in ML. → https://lnkd.in/dU8T8BPw 8. 𝗗𝗶𝗳𝗳𝘂𝘀𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹𝘀 𝗖𝗼𝘂𝗿𝘀𝗲 The tech behind DALL·E and Stable Diffusion. Generate visuals from noise — step by step. → https://lnkd.in/dFwN_idt 9. 𝗢𝗽𝗲𝗻-𝗦𝗼𝘂𝗿𝗰𝗲 𝗔𝗜 𝗖𝗼𝗼𝗸𝗯𝗼𝗼𝗸 Not a course — a growing library of real-world AI notebooks. Copy, remix, and build. → https://lnkd.in/dQ5BXvSz There’s no excuse left. Save this. Study it. Build. Share this with your network to help them level up! ♻️ Which one will you start with? | 16 comments on LinkedIn

Nvidia is now offering free AI courses No payment needed to learn from the best. If you want to start off your January right, consider taking these 5 short… | 10 comments on LinkedIn

Guess what! 😃 Google's 5-Day Gen AI Intensive Course is now available as a free, self-paced learning program for anyone interested in learning all about the… | 12 comments on LinkedIn

Google, Harvard, and others are providing free AI classes (no payment required). Here are 8 free courses to learn AI by 2024: 1. Google AI Courses. Google… | 89 comments on LinkedIn

Learn Prompting is the largest and most comprehensive course in prompt engineering available on the internet, with over 60 content modules, translated into 9 languages, and a thriving community.

Learn more about MinnaLearn's and the University of Helsinki's AI course - no programming or complicated math required.

🌐🧠 🏫🚀 Tech and academic leaders are flinging open the gates to AI learning with a… | 14 comments on LinkedIn

Get free, online, skills-based learning and support no matter where you are in your career journey, developed by technology experts.

Welcome to Pixar in a Box! Learn how about the structure of this course, and the resources that it contains to support students and teachers.

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6 FREE Prompt Engineering resources that won't break the bank (put your wallet away): 1. Learn Prompting This is an excellent open-source course that'll… | 24 comments on LinkedIn

We hardly scratch the potential of Generative AI by randomly asking questions. With random input, the output of these Large Language Models (ChatGPT, Bard… | 11 comments on LinkedIn

Developing diverse digital talent across the UK. At Microsoft, we believe everyone deserves access to the skills, knowledge and opportunity needed to achieve more. Through our Get On commitment, we're helping 2.5 million people gain access to the skills needed for the AI economy and connecting 300,000 to tech job opportunities by 2025.

🌍 Please share with your network who may benefit from these free courses. 1. SDG Micro-Primer: learn… | 24 comments on LinkedIn

Here are 10 of the best free AI courses available from top universities and companies: 1. Google AI Courses Google offers 10 different courses to learn… | 31 comments on LinkedIn

Courses Link --: https://lnkd.in/e3SSG8eb 1) Behavior Design Basics - by Aim For… | 21 comments on LinkedIn

Make your staff your best asset by preventing cybersecurity incidents. Test the cyber security game or buy Cyber Crime Time for your organisation or company.

Scalable, secure, cross-device and enterprise-ready team collaboration whiteboard for distributed teams. Join 35M+ users from around the world

Bringen Sie Ihr Unternehmen oder Ihre Karriere voran. Unsere Kurse sind jederzeit verfügbar und können in einzelnen Modulen absolviert werden.

Discover the best courses to build a career in AI | By Andrew Ng | Whether you’re a beginner or an experienced practitioner our world-class curriculum and unique teaching methodology will guide you through every stage of your AI journey.

Offered by DeepLearning.AI. AI is not only for ... Enroll for free.

Youtube is the largest academy in the world but sometimes the information overload can make it… | 223 comments on LinkedIn

Hier lernen Jugendliche und andere Interessierte ohne Programmier-Erfahrung und technisches Hintergrund-Wissen, die Welt des maschinellen Lernens und der künstlichen Intelligenz zu verstehen. Wir führen Sie dazu in die grundlegenden Konzepte ein. Dabei erfahren Sie, wo die Unterschiede zwischen herkömmlicher Programmierung und der Entwicklung selbstlernender Software liegen. Anhand von Beispielen erfahren Sie, was überwachtes, nicht überwachtes und verstärkendes Lernen sind. Denn diese Konzepte bilden den Kern für die Algorithmen, welche das maschinelle Lernen bewirken. Erleben Sie anhand einer konkreten Anwendung, wie mit einem solchen Lernprozess Muster und Strukturen in großen Datenmengen erkannt werden können. Auch auf ethische Fragen beim Einsatz künstlicher Intelligenz sowie die Begrenzungen der Technologie maschinellen Lernens wird in dem vierwöchigen Gratis-Kurs eingegangen. Geleitet wird er von den Masterstudenten Johannes Hötter und Christian Warmuth.

Alle reden über “Maschinelles Lernen”, "Neuronale Netze", "Künstliche Intelligenz" und "Deep Learning - doch wie diese Techniken genau in der Praxis funktionieren und eingesetzt werden, erfahren Sie in diesem weiterführenden openHPI Kurs. In diesem vierwöchigen Gratis-Kurs können Jugendliche und andere Interessierte ohne Programmier-Erfahrung und technisches Hintergrundwissen lernen, wie Machine Learning Projekte in der Praxis umgesetzt werden können. Wir wollen dabei das Basiswissen aus dem Kurs “[Künstliche Intelligenz und Maschinelles Lernen für Einsteiger][1]” weiter vertiefen und Ihnen ein Gefühl für die Chancen und Herausforderungen von Machine Learning Projekten in der Praxis vermitteln. Dafür betrachten wir mehrere konkrete Anwendungsfälle - unter anderem die Erkennung von Gebärdensprache aus Bildern und die Stimmungsanalyse von Zeitungsartikeln. Geleitet wird der Kurs von den Masterstudenten Johannes Hötter und Christian Warmuth. [1]: https://open.hpi.de/courses/kieinstieg2020