Free Online Learning Resources

🎓 Top 10 FREE IT Certifications You Should Get in 2025! 1. Google IT Support Professional Certificate Learn the fundamentals of IT support including troubleshooting, networking, OS, and security. Offered by Google on Coursera – no experience needed. Perfect for IT beginners or career switchers. 💥 Free via Coursera financial aid. 2. Microsoft Cybersecurity Analyst Professional Certificate Understand threat intelligence, incident response, SIEM tools, and compliance. Prepares you for SOC roles and security operations careers. Hands-on labs with Microsoft Defender and Azure tools. 🎓 Free via LinkedIn Learning or scholarship access. 3. IBM Cybersecurity Analyst Certificate Covers security tools, network fundamentals, incident response & threat detection. Ideal for entry-level cybersecurity roles (SOC Analyst, Jr. PenTester). Learn QRadar, Wireshark, and SIEM basics. 🌐 Free via Coursera financial aid. 4. AWS Cloud Practitioner Essentials Start your cloud journey with Amazon Web Services basics. Understand cloud concepts, billing, security, and architecture. Essential for beginners entering cloud & DevOps. 🚀 Free through AWS Skill Builder. 5. Google Cloud Digital Leader Get introduced to Google Cloud, its core services, and responsible AI. No tech background needed – perfect for IT, sales, or managers. Recognized in many cloud job roles. 📘 Free on Google Cloud Skills Boost. 6. Cisco Introduction to Cybersecurity Understand the basics of cybersecurity, cyber attacks, and cyber hygiene. Includes real-world examples and threat trends. Great starting point before diving into networking or pen testing. 🔐 Free via Cisco Networking Academy. 7. Fortinet NSE 1 & NSE 2 Covers essential cybersecurity awareness and Fortinet security fabric. Learn basic security concepts, threats, and network protection. Foundation for Fortinet’s advanced certifications. 🛡️ Free on the Fortinet Training Institute. 8. IBM AI Foundations for Everyone Understand AI, LLMs, and machine learning basics – no coding needed. Prepares you for AI security or cloud-AI integrations. Highly relevant in today’s security landscape. 🤖 Free on Coursera (via financial aid). 9. Meta Cybersecurity Certificate Learn real-world security techniques, tools, and risk mitigation. Understand endpoint security, network protection, and logs. Ideal for entry to mid-level IT pros. 🧩 Free via scholarships or Coursera financial aid. 10. Introduction to Linux by The Linux Foundation Master Linux fundamentals, file systems, commands, and system operations. Essential for any cybersecurity, sysadmin, or cloud engineer role. Get hands-on with Linux CLI and scripting. 🐧 Free via edX (audit mode). 💬 Final Note: These certifications are beginner-friendly, practical, and completely free to access through financial aid, scholarship, or open access. Don’t wait – invest your time in growing your IT career today! 💻✨

Stop wasting thousands on overpriced AI bootcamps! You can master the exact same skills for free with these channels 👇 Andrej Karpathy → Founding member of OpenAI and the former Director of AI at Tesla. His "Zero to Hero" series is legendary. Posts once a year but that’s enough to create ripples in the AI industry. (Note: He taught Stanford's first Deep Learning course (CS231n), which trained the first generation of modern AI engineers) GenAI Explained → Turning complex AI breakthroughs into short, practical, and easy to understand videos that help you discover what matters, learn how it works and grow your skills in real-time. Backed by a global community of 13M+ builders and researchers Stanford Online → Ivy League education for free. Famous CS224N (Natural Language Processing) and CS231n lectures. Watch the world’s leading researchers (like Li Fei-Fei and Christopher Manning) deliver the same content their students pay thousands for. Serrano Academy → Luis Serrano (PhD in Math and Author) simplifies complex topics through hand-drawn cartoons and analogies. Learn attention mechanisms and LLMs with a friendly and high-energy vibe. Jeremy Howard → Top-down learning. Build the app first, figure out the math later. Teaches practical deep learning for coders. No PhD required. 3Blue1Brown → Visual poetry. Grant Sanderson uses his own custom animation engine (Manim) to visualize neural networks, backpropagation and linear algebra. He made the Transformer architecture (the T in ChatGPT) visually understandable for the first time. Hamel Husain → Learn the dirty work of AI: evaluations (evals), data curation and deployment. He is the Engineer's Engineer. Former Lead ML Engineer at GitHub and Airbnb and a major contributor to open-source tools like nbdev. Dave Ebbelaar → King of RAG (Retrieval-Augmented Generation). While others talk about models, he talks about pipelines and how to connect your private data (PDFs, Notion, SQL) to an LLM safely. Machine Learning Street Talk → Deeply technical and unedited. Interviews with AI rebels like Yann LeCun (former Meta's AI chief), who challenge the current direction of LLMs. Critical, non-hype perspective. Lex Fridman → Introspective interviews with everyone who matters in AI: Sam Altman, Demis Hassabis, Yann LeCun, Elon Musk. Vision and history of where the field is going. Get more GenAI resources for FREE: https://lnkd.in/e64Jvdrt

These YouTube channels got you covered if you’d like to start learning AI Learning Artificial Intelligence can feel confusing, as there are so many concepts to grasp, starting with math foundations to deploying successfully. But with the right channels, you can learn everything step by step, for free. Here’s a cheat sheet highlighting the best YouTube channels for AI in 2025, organized into categories like Math, Python, Core ML, Deep Learning, MLOps, and Research. Each channel simplifies tough concepts, shows practical coding examples, and keeps you updated with the latest AI breakthroughs. ✅ Channels Covered: 1. Math for ML → Essence of Linear Algebra (3Blue1Brown), Khan Academy, StatQuest with Josh Starmer. 2. Python for ML → Programming with Mosh, Tech with Tim, Sentdex, freeCodeCamp.org. 3. Core ML Fundamentals → Stanford CS229, Andrej Karpathy, CodeEmporium, Corey Schafer. 4. MLOps & Deployment → Krish Naik, CodeBasics, Cloud With Raj, MLOps Community. 5. Projects & Kaggle → Abhishek Thakur, Data Professor, CodeBasics (projects), Krish Naik (end-to-end ML). 6. Deep Learning → Andrej Karpathy, freeCodeCamp.org, DeepLearningAI, Two Minute Papers. 7. Staying Updated (Research) → Arxiv Insights, The Cutting Edge School, Two Minute Papers, Yannic Kilcher. Feel free to save this guide and share with others who have similar interests. #AI

AI isn’t replacing you. It’s sitting next to you. At Copenhagen Legal Tech’s First Tuesday, Werner Valeur shared so many great insights, but this one stuck with me: 🤖 Technology is your new colleague. I’d take it a step further: 🤖 AI is your new colleague. It’s not just another tech tool. Treat AI like a new coworker. Like any good colleague, AI requires context and interaction to deliver real value. The better you communicate with your new coworker - the better the results. The more you work together, the more you learn about their strengths and weaknesses. Laura Frederick helped further refine and visualize this concept yesterday while we were chatting about challenges of AI adoption in contracting. Use AI like you would when we worked in offices, and would drop by one of your office besties to run an idea by them, get a different opinion, refine argument or get a gut check. Here are some ways that you can use AI right now across all genAI chat tools like ChatGPT, Copilot, Claude, Gemini, Perplexity and legal specific AI tools like Wordsmith. How AI Can Assist Legal Professionals Right Now: 🧠 Brainstorming & Idea Generation - Generate new ideas and explore different perspectives. - Provide counterarguments to strengthen legal reasoning. - Get suggestions for alternative approaches to problems. 🤝 Negotiation & Scenario Testing - Play out different negotiation scenarios and refine your position. - Run hypotheticals or play devil’s advocate to stress-test legal arguments. 📑 Document & File Management - Spot differences between contract versions or precedent documents. - Organize messy notes into structured documents. - Structure messy drafts, clean up formatting, and standardize layouts. - Easily convert between file formats while maintaining all the information. 📝 Summarization & Transcription - Quickly extract key points from lengthy agreements or case law. - Transcribe and/or summarize meeting transcripts or notes to capture key takeaways and action items. 👀 Clarity & Refinement - Test writing for clarity and readability. - Ask AI to simplify or refine complex legal language. - Make writing more concise by cutting unnecessary details. - Turn text into bullet points, a table, or image (tip: Claude is better at making slide images). ⚠️ Risk & Consistency Checks - Highlight potential red flags in agreements. - Check for inconsistencies in responses or across multiple documents. - Ensure legal solutions align with specific legal rules, frameworks, or precedents. - Identify assumptions made in legal arguments. - Validate responses against the latest case law or regulatory updates. - Stress-test whether legal advice holds under different conditions. 🗣️ Client & Internal Communication - Tailor responses based on tone and audience. - Provide second opinions or alternative views on legal arguments or advice. - Prepare clear, concise explanations for clients or stakeholders. - My favorite: check for typos!

If you’re trying to learn AI through real-world projects instead of endless theory, this GitHub repo is worth checking out 👀🔥 A lot of AI learning resources have the same problem: too much theory, disconnected tutorials, and examples that never translate into production use cases. That’s why this stood out to me. Oracle recently open-sourced a massive AI learning and implementation hub packed with: ✅ 10+ deployable AI applications ✅ 20+ hands-on notebooks ✅ Guided workshops ✅ Real enterprise AI agent architectures ✅ End-to-end implementation references And the best part? These are not toy demos. They’re practical systems designed around real workflows and production-style setups. Some interesting projects inside: 🔹 FitTracker — gamified fitness platform using FastAPI, Redis, and Oracle 26ai 🔹 agentic_rag — multi-agent RAG with PDF + web ingestion 🔹 finance-ai-agent-demo — AI finance assistant with memory capabilities 🔹 oci-generative-ai-jet-ui — full-stack AI app with Kubernetes + Terraform 🔹 tanstack-shoe-store — natural language database interaction 🔹 agent-reasoning — experiments with reasoning frameworks like CoT, ToT, and ReAct 🔹 limitless-workflow — Claude-powered autonomous workflows 🔹 Plus additional implementations using Java and Vector Databases The notebooks and workshops also cover: 📌 RAG fundamentals 📌 Agent memory systems 📌 Hybrid search 📌 Multi-agent orchestration 📌 Multi-cloud deployment patterns This is the kind of resource that helps bridge the gap between “learning AI” and actually building AI applications. ⭐ Definitely worth bookmarking or starring if you're serious about AI engineering. ( link in comment) Share this with someone who’s trying to break into AI ❤️

Stanford recently released their flagship AI courses for FREE on YouTube. Maybe make this thanksgiving a bit more productive? As someone who was a finalist for Stanford University's LEAD program after my Intel journey, and now teaches 300K+ learners as a LinkedIn Learning instructor, this hits differently. The same courses that would have cost tens of thousands are now accessible to anyone with an internet connection. If I was starting my AI journey today, this would be my exact roadmap: → Start here: CS229 – Machine Learning by Andrew Ng (the foundation everyone needs) See: https://lnkd.in/dNuiW9BM → Then dive deeper: CS221 – AI Principles & Techniques (how to think like an AI engineer) See: https://lnkd.in/dD-zCpRV → Modern AI: CS224N – NLP with Deep Learning (understand how ChatGPT actually works) See: https://lnkd.in/dWdzHA6B → Go deeper: CS230 – Deep Learning by Andrew Ng (neural networks that power everything) See: https://lnkd.in/dZRdJhWb → Advanced concepts: CS330 – Meta Learning (how AI learns to learn) See: https://lnkd.in/dFDYNMbj → The cutting edge: CS234 – Reinforcement Learning (how AI makes decisions) See: https://lnkd.in/dh6QWS_f Why this changes everything: The biggest barrier to entering AI was never talent - it was access. • Traditional CS degrees take 4+ years and cost a fortune • Most professionals can't afford to start over • By the time you graduate, the field has moved on Stanford just eliminated the access barrier. The real opportunity: You don't need a Stanford degree to work in AI. You need Stanford-level knowledge. And that knowledge is now free. As both a LinkedIn Learning instructor and founder of DigiFab AI, I work with professionals from every background - finance, healthcare, logistics, you name it. The ones who succeed aren't necessarily the ones with CS degrees. They're the ones who never stop learning. Here's what I'm doing: Starting fresh with CS229 this week during thanksgiving. Not because I need it, but because continuous learning isn't just a habit - it's survival in a field that evolves monthly. The question isn't whether you can afford AI education anymore. It's whether you can afford not to take advantage of it. Which course are you most excited to start with? P.S. - This is exactly the kind of democratization that gets me excited about technology's potential to empower everyone, regardless of their background or bank account.

I just taught 11,000 women how to use AI last month. This was their number one question: "How do I use Claude?" Anthropic has 13 free certified courses for "normies" (like me) and developers. 13 courses. Certificates included. No paywall. Here's what's in the Anthropic Academy. For developers and builders: 01 / Claude 101 — Get started with Claude https://lnkd.in/g7Q_jMcv 02 / Building with the Claude API — Full API fundamentals https://lnkd.in/gXSh-6Yd 03 / Claude Code in Action — 21 lessons, free certificate https://lnkd.in/gnNdrgAR 04 / Intro to Model Context Protocol — Build MCP servers from scratch https://lnkd.in/gWUEnm-Z 05 / MCP: Advanced Topics — Production patterns and transport https://lnkd.in/gJCDHUb4 06 / Introduction to Agent Skills — Build and share reusable Skills https://lnkd.in/gx6yhc-D 07 / Claude with Amazon Bedrock — Deploy Claude inside AWS https://lnkd.in/gwMwN6HW 08 / Claude with Google Vertex AI — Deploy Claude via Google Cloud https://lnkd.in/gy4cBQPN For everyone else: 09 / AI Fluency: Framework & Foundations — Core AI concepts and responsible use https://lnkd.in/gfnK7wyu 10 / AI Fluency for Students — AI skills for academic success https://lnkd.in/g4vNth3M 11 / AI Fluency for Educators — Apply AI in teaching https://lnkd.in/gdkjtMKg 12 / AI Fluency for Nonprofits — AI for mission-driven teams https://lnkd.in/gRvThgDT 13 / Teaching AI Fluency — Teach and assess AI Fluency https://lnkd.in/gf97JZ-d Bookmark this. ♻️ Share this so someone on your team sees it. 🔔 Follow Jenny Stojkovic for more.

Most professionals know they need AI skills. Very few know where to start. So I spent a few hours curating the AI learning roadmap I'd recommend to Product Managers, Analysts, Founders and Knowledge Workers in 2026. Not based on hype. Based on practical usefulness. 👇 Level 1: Understand AI 1. AI for Everyone — Andrew Ng The best non-technical introduction to AI I've found. 2. Generative AI for Everyone — Andrew Ng Explains how LLMs and Generative AI actually create business value. --- Level 2: Become AI Fluent 3. Google AI Essentials Learn how professionals use AI in daily work. 4. Anthropic Learning Hub One of the best resources for learning how to think with AI rather than simply prompt it. --- Level 3: Become an AI Builder 5. Cursor The fastest way for non-engineers to start building software. 6. Claude Code Learn how modern AI-assisted development works. 7. Windsurf Another excellent AI-native coding environment. 8. Replit AI Build and deploy projects directly from the browser. --- Level 4: Build AI Products 9. Bolt 10. Lovable These tools dramatically reduce the gap between an idea and a working product. --- Level 5: Build AI Workflows 11. n8n If you can automate workflows, you're immediately more valuable than most professionals. --- Level 6: Go Deeper 12. OpenAI Academy 13. LangChain Academy For people who want to move beyond usage and understand AI systems more deeply. --- The biggest mistake I see professionals making: Collecting certificates. The market doesn't reward certificates. It rewards proof. Don't ask: "Which AI course should I take?" Ask: "What can I build in the next 30 days?" That's where careers start compounding. I've added all 13 links in the comments. Which AI course or tool would you add to this list? #ArtificialIntelligence #AI #GenerativeAI #FutureOfWork #CareerGrowth #ProductManagement #AIProducts #Upskilling #TechCareers #ProductLeadership

Most people know AI is changing how work gets done. What many haven’t accepted yet is this: AI skills are no longer optional, they’re quickly becoming a baseline. The good news is that getting started doesn’t require expensive programs or complex technical knowledge. There are accessible, credible options that make it possible to build practical AI skills at your own pace. Here are 5 free AI courses with certifications to start with: 1. Google AI Essentials https://lnkd.in/e48BUgJd (A beginner-friendly course designed to help you use AI tools in everyday work) 2. Microsoft AI Fundamentals (AI-900) https://lnkd.in/eJNAmTxC 3. IBM AI Fundamentals (SkillsBuild) https://skillsbuild.org/ 4. AI for Everyone – DeepLearning.AI https://lnkd.in/ekuTgGtm (A popular non-technical course with millions of learners) 5. Building with Claude / AI Fluency (Anthropic Academy) https://lnkd.in/efzfnkkb (Free courses on practical AI usage, APIs, and real workflows) What stands out is not just the content, but the accessibility. No gatekeeping. No unnecessary complexity. Just structured learning that can be applied immediately. Because at this point, the real gap is not access. It’s adoption. Which of these would be most relevant to what you’re currently working on? #AI #ArtificialIntelligence #CareerGrowth #DigitalSkills #FutureOfWork

Still believing a college degree alone will get you a high-paying job as a fresher in 2025? If that’s your whole career plan, get ready for a reality check: recruiters want skills, proof, and progress not just a graduation certificate on your resume. Here are 9 powerful, 100% free online courses for freshers to upgrade your profile, master new skills, and turn your CV into an interview magnet: 1/ Google - Fundamentals of Digital Marketing Master digital marketing basics + get a certificate. 👉 https://lnkd.in/g4_JtrFv 2/ LinkedIn Learning – Soft Skills for Creative Professionals Unlock the secrets of effective communication, collaboration, and leadership in the world of architecture, design and beyond. 👉 https://lnkd.in/gV3edDmw 3/ Coursera – Excel Skills for Business (Macquarie University) Build real data, reporting and analytics muscle for entry-level tech/analyst roles. 👉 https://lnkd.in/gDc_MvCd 4/ IBM Data Science Professional Certificate (Intro Modules) Get hands-on with Python, SQL, and data thinking. 👉 https://lnkd.in/gi35bwiK 5/ HubSpot Academy – Email Marketing Certification Unlock email campaign know-how for startups, marketing, and digital-first companies. 👉 https://lnkd.in/gtkkuTic 6/ Harvard University - Exercising Leadership: Foundational Principles Discover new ways to approach complex organizational systems & explore strategies for leading in a changing world. 👉 https://lnkd.in/gPMMaEpS 7/ TCS iON Career Edge – Young Professional Industry-readiness with practical modules and an industry-recognized badge; perfect for Indian MNCs. 👉 https://lnkd.in/gJanQ8Sg 8/ Alison – Fundamentals of Project Management Real-world project management skills for consulting, analytics, or operations roles everywhere. 👉 https://lnkd.in/gptKvQ92 9/ Coursera – Introduction to Artificial Intelligence (AI) Learn practical AI fundamentals, essential for top IT, data, and digital roles in 2025. 👉 https://lnkd.in/g8Uq6deT Want a list of even more free, industry-recognised courses? Comment “COURSE” below and I’ll drop a Part 2 with hidden gems just for you! #freecourses #freshers #resume #careercoach #dreamjob