Creator PlanetX

AI skills, zero cost: 10 free courses inside Want to level up your AI skills without spending a single dollar? Here are 10 free, high quality courses you can start today, with direct links. No fluff, no upsell, just learning. Save this and pick one to start this week. ------- 1️⃣ Harvard - Introduction to AI with Python ↳ Learn core AI concepts by coding in Python. 🔗 https://lnkd.in/dvHKidDp ------- 2️⃣ Microsoft - AI for Beginners ↳ A 12-week path to build strong AI fundamentals. 🔗 https://lnkd.in/eX8J2FwX ------- 3️⃣ Google - AI Courses ↳ Learn responsible AI ideas and real-world applications. 🔗 https://lnkd.in/eUeK7cqP ------- 4️⃣ DeepLearning.AI - Generative AI for Everyone ↳ Get a clear intro to generative AI and how to use the tools. 🔗 https://lnkd.in/dh2KTMMM ------- 5️⃣ LinkedIn - Generative AI Courses ↳ Lots of short, practical AI lessons in one place. 🔗 https://lnkd.in/gmgFcQgu ------- 6️⃣ Vanderbilt - ChatGPT Prompt Engineering ↳ Learn prompting techniques to get better outputs from AI. 🔗 https://lnkd.in/d-rCb-AM ------- 7️⃣ OpenAI - Prompt Engineering for Developers ↳ Build real apps by using OpenAI-style prompting workflows. 🔗 https://lnkd.in/gtGc5Znp ------- 8️⃣ edX - AI Applications and Prompt Engineering ↳ Practice prompt engineering while building AI applications. 🔗 https://lnkd.in/g2P9U_Bs ------- 9️⃣ AWS - Foundations of Prompt Engineering ↳ Understand prompts and apply them across AWS AI services. 🔗 https://lnkd.in/d6RsZp9a ------- 🔟 UC Davis - Big Data, AI, and Ethics ↳ Explore ethical issues in AI and data-driven systems. 🔗 https://lnkd.in/gVEf3Dvm Which one are you starting with? Save this for later. -------- If you find this post helpful, please Rерost & Fоllоw 👉 𝐂𝐫𝐞𝐚𝐭𝐨𝐫 𝐏𝐥𝐚𝐧𝐞𝐭𝐗 -------------------- Wanт Weekly Creator Playbooks to Grow on Social? Join Our 20K+ Creator Community Instant Access with Worth 💲10000 FŔЕЕ Creator Blueprints ➡ Creator OS tool stack ➡ FB 0 to 100K blueprint ➡ Nano Banana prompts library ➡ 30 viral case studies ➡ LinkedIn & FB growth checklist & More 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 👉 CreatorPlanetX.com

Most people jump on LinkedIn without a real strategy. They post randomly, engage inconsistently, and hope for results that never come. If you want to grow on LinkedIn the right way, here’s what you need to nail down first: 1. PURPOSE – Why are you here? Are you here to grow your business? Build a personal brand? Get leads? Your purpose is your foundation ,without it, you’re just throwing content into the void. 2. VALUE PROPOSITION – What makes you worth FolIowing? People don’t FolIow for you. They FolIow for what they gain. So, what problem do you solve? What unique insights do you bring? 3. UNIQUE POINT OF VIEW – What makes you stand out? Reposting generic advice won’t get you far. Your experiences, your take, your lens on your industry, that’s what makes people stop scrolling. 4. TARGET AUDIENCE – Who are you speaking to? If your content is for everyone, it’s for no one. Be specific. Speak directly to the people who need what you have to offer. 5. POSITIONING – How do you want to be perceived? Are you the industry expert? The storyteller? The community builder? Own your narrative before others define it for you. 6. VISUAL IDENTITY – What does your brand look like? Your profile, colors, post format, it should feel cohesive. People should recognize your content before they see your name. 7. MESSAGING – What does your brand sound like? Are you bold? Conversational? Analytical? Your tone builds trust, make sure it reflects your personality and brand. 8. CONTENT STRATEGY – What will you share? Random posting ≠ results. Create a balance: - Educational (share expertise) - Engaging (ask questions, start conversations) - Personal (stories, insights, lessons learned) When you get these fundamentals right, you will stop wasting time here. P. C: Jasmeet Kaur-JK FolIow 𝐉𝐚𝐬𝐦𝐞𝐞𝐭 𝐊𝐚𝐮𝐫-𝐉𝐊 for more content like this. --------------------------------- If you found this helpful, please 𝐅𝐨𝐥𝐥𝐨𝐰/𝐋𝐢𝐤𝐞/𝐑𝐞𝐩𝐨𝐬𝐭 to support our effort. 🙏

How to Create a 100% AI Automated Social Media System Tired of manual posting? ——————————— 🟦 Steps to Build Automated System 1. Setting Up Tools ↳Create an account on Make. com ↳Sign up for Perplexity AI ↳Get GPT model credits 2. Choosing Triggers ↳Use Slack or Google Docs for new articles ↳Schedule automation 3. Extracting News Articles ↳Use Perplexity for summaries ↳Input article URL for concise summaries 4. Creating Custom Bots ↳Develop GPT agents for LinkedIn, Twitter, and Facebook ↳Customize bots for each platform 5. Generating Content LinkedIn ➜ Informative posts with anecdotes and questions Twitter ➜ Concise tweets with hashtags 6. Image Generation ↳Use DALL-E 3 for images ↳FolIow platform-specific dimensions (1200x627 for LinkedIn) 7. Testing Automation ↳Run tests on modules ↳Refine prompts for engagement 8. Publishing and Sharing ↳Automate posting across platforms ↳Use Google Docs for content compilation ———————————— 🟦 Benefits of Automation Time-Saving ➜ Cuts manual posting time Consistency ➜ Ensures regular visibility Quality Content ➜ Generates optimized content Scalability ➜ Manage multiple accounts easily Analytics ➜ Track performance with AI reports P. C: Altiam Kabir --------------------------------- If you found this helpful, please 𝐅𝐨𝐥𝐥𝐨𝐰/𝐋𝐢𝐤𝐞/𝐑𝐞𝐩𝐨𝐬𝐭 to support our effort. 🙏

Stanford is quietly giving this away for free Stanford University has FRƐƐ online courses. If you want to level up in 2026 you do not need money or a degree. You need a laptop, time, and this list. Here are 10 standout Stanford courses for 2026: 1. Computer Science 101 Introduction to computer science for a zero-prior-experience audience. Play with little phrases of code to understand what computers are all about. https://lnkd.in/gnysxGhT 2. Intro to Artificial Intelligence Learn the basics of modern AI and some representative AI applications. https://lnkd.in/e-yuCiBg 3. Artificial Intelligence for Robotics Programming a robotic car. Learn how to program all the major systems of a robotic car from the leader of Google and Stanford's autonomous driving teams. https://lnkd.in/e785XKGZ 4. Introduction to Python Programming Learn to solve practical problems with Python. Covers Python fundamentals and programming best practices. https://lnkd.in/gV-jXWg 5. Introduction to Machine Learning Course Machine learning is a first-class ticket to exciting careers in data analysis. Learn the end-to-end process of investigating data through a machine-learning lens. https://lnkd.in/dTbdB73G 6. Designing Your Career You’ll learn: → How to break into a new field of interest → New ways to understand and approach networking → A new angle on pursuing professional opportunities https://lnkd.in/dYQNuGbQ 7. Machine Learning Specialization → Self-paced → Duration - 8 weeks Beginner-friendly fundamentals of machine learning and how to build real-world AI applications. https://lnkd.in/dFiQ5xrH 8. Databases: Advanced Topics in SQL → Self-paced → Duration - 2 weeks Covers: • Indexes • Transactions • Constraints, and much more Get a certificate upon completion. https://lnkd.in/gs2kHyB3 9. Computer Science 101 → Self-paced → Duration - 6 week Instructor: • Nick Parlante https://lnkd.in/dBbz5Keh 10. Quantum Mechanics for Scientists and Engineers → Self-paced → Duration - 9 weeks A substantial introduction to quantum mechanics and how to use it. https://lnkd.in/gKBTZbsa Pick one course. Save this post. Start learning this week. -------------------- Wanт Weekly Creator Playbooks to Grow on Social? Join Our 20K+ Creator Community 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 👉 CreatorPlanetX.com

How I 10x’d my LinkedIn engagement (without 10x’ing my time writing posts) I formed a daily commenting habit I started with just 5 mins a day I found 25 likeminded creators And I commented on their posts Here’s what happened next ... They started commenting on my content And guess what, more people saw it So, I got more FolIowers And, the new FolIowers engaged too Then, you guessed it, I gained more reach And the cycle continues You see, this is the beauty of LinkedIn ↳ You start by supporting others ↳ Then create some of your own content ↳ Those you support will support you ↳ You grow together So, if you're wondering where to start ↳ Start by supporting others with engagement ↳ Then post some of your own content ↳ Then keep supporting others You'll start growing fast too Do you comment daily on LinkedIn? P. C: MJ Jaindl FolIow 𝐌𝐉 𝐉𝐚𝐢𝐧𝐝𝐥 for more content like this. --------------------------------- If you found this helpful, please 𝐅𝐨𝐥𝐥𝐨𝐰/𝐋𝐢𝐤𝐞/𝐑𝐞𝐩𝐨𝐬𝐭 to support our effort. 🙏

Most people only search for jobs on LinkedIn. That’s a huge mistake. There are dozens of better platforms that can help you land high-paying remote jobs. Here are 15 websites that pay in USD for remote work: 1. We Work Remotely - Largest remote work community with 4.5M+ visitors - Offers a wide range of remote job opportunities - Link: weworkremotely.com 2. Hubstaff Talent - Free resource for companies looking for remote talent - Connects businesses with freelancers and agencies worldwide - Link: hubstafftalent.net 3. Wellfound - Connects job seekers with startups - 130K+ tech jobs from 27K companies - Link: wellfound.com 4. Remotive - Curates active, fully remote tech jobs - Trusted by top global tech companies - Link: remotive.io 5. WorkWave - Remote job listings for various industries - Known for flexible work opportunities - Link: workwave.com 6. AI Jobs - Focuses on AI-related remote job listings - Features top 1% of AI companies - Link: theaijobboard.com 7. Remote Woman - Remote job board tailored for women - Promotes flexibility and career growth - Link: remotewoman.com 8. Toptal - Exclusive network for top freelancers - Covers software development, design, finance & more - Link: toptal.com 9. FlexJobs - Find remote jobs globally or near you - Offers career coaching and resume help - Link: flexjobs.com 10. JS Remotely - Specializes in JavaScript-related remote jobs - Includes React, Vue, Node.js, and Angular roles - Link: jsremotely.com 11. RemoteOK - Aggregates remote jobs from across industries - Allows filtering jobs by category and salary - Link: remoteok.com 12. Working Nomads - Remote jobs tailored for digital nomads - Handpicks opportunities across industries - Link: workingnomads.com 13. JustRemote - Jobs that fit your lifestyle - Offers fully and partially remote options - Link: justremote.co 14. Remote.co - Hand-curated list of remote jobs - Features 146+ remote-first companies - Link: remote.co 15. Remote Circle - Helps find remote jobs in your timezone - Covers a variety of industries and roles - Link: remotecircle.com P. C: Altiam Kabir --------------------------------- If you found this helpful, please 𝐅𝐨𝐥𝐥𝐨𝐰/𝐋𝐢𝐤𝐞/𝐑𝐞𝐩𝐨𝐬𝐭 to support our effort. 🙏

Learn AI agents without the headache Most AI agent content is: Too abstract. Too salesy. Or just way too confusing. If you want to actually build real agent systems, these 12 free courses will walk you through it step by step. No fluff. Just hands-on building. 1. AI Agents in LangGraph ↳ Build agents from scratch with Python and flow-based architectures. 🔗 https://lnkd.in/e_yQ2_pq 2. Long-Term Agentic Memory with LangGraph ↳ Add persistent memory and contextual intelligence. 🔗 https://lnkd.in/eCkbAkDR 3. Multi AI Agent Systems with crewAI ↳ Build teams of agents that collaborate and automate tasks. 🔗 https://lnkd.in/e-6zm9hb 4. Practical Multi AI Agents & Advanced Use Cases with crewAI ↳ Build advanced workflows like project planning & customer automation. 🔗 https://lnkd.in/eyiCh2Y6 5. Building Live Voice Agents with Google’s ADK ↳ Create production-ready voice agents with Google’s audio pipeline. 🔗 https://lnkd.in/em7aWfNn 6. Evaluating AI Agents ↳ Learn how to measure, benchmark, and monitor agent performance. 🔗 https://lnkd.in/ecRrS2Yi 7. AI Agentic Design Patterns with AutoGen ↳ Master patterns to structure, coordinate, and deploy agent systems. 🔗 https://lnkd.in/evHrew6a 8. Build Apps with Windsurf’s AI Coding Agents ↳ Build apps faster with automated coding and tool-driven agents. 🔗 https://lnkd.in/eK4ZPdAt 9. Event-Driven Agentic Document Workflows ↳ Automate document processing with event-driven agentic triggers. 🔗 https://lnkd.in/ec_KQQ-T 10. Building AI Browser Agents ↳ Build agents that navigate, extract, and automate directly in the browser. 🔗 https://lnkd.in/eqKxCW2d 11. Building Code Agents with Hugging Face SmolAgents ↳ Create lightweight code-reasoning agents using Hugging Face tools. 🔗 https://lnkd.in/e8RznhHQ 12. DSPy: Build & Optimize Agentic Apps ↳ Design reliable, scalable agentic applications with DSPy. 🔗 https://lnkd.in/eRwjj7hq Save this list and pick one course to start this week. -------- If you find this post helpful, please Rерost & Fоllоw 👉 𝐂𝐫𝐞𝐚𝐭𝐨𝐫 𝐏𝐥𝐚𝐧𝐞𝐭𝐗 -------------------- Wanт Weekly Creator Playbooks to Grow on Social? Join Our 20K+ Creator Community Instant Access with Worth 💲10000 FŔЕЕ Creator Blueprints ➡ Creator OS tool stack ➡ FB 0 to 100K blueprint ➡ Nano Banana prompts library ➡ 30 viral case studies ➡ LinkedIn & FB growth checklist & More 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 👉 CreatorPlanetX.com

A-Z Guide To Optimizing Your LinkedIn Profile (Is your LinkedIn working for you?) These What You Need To Do ⤵️ 1. Profile Photo ➜Use a 400x400 image 2. Headline ➜Include job title, industry, and key skills 3. About Section ➜Start with a hook; focus on achievements 4. Experience ➜Use bullet points for responsibilities 5. Skills ➜List up to 50 skills; prioritize top ones 6. Recommendations ➜Aim for at least 5; align with goals 7. Certifications ➜Add relevant certifications with dates 8. Education ➜List degrees in reverse order 9. Custom LinkedIn URL ➜Include your name 10. Cover Photo/Banner ➜Use a 1584x396 image for your brand 11. Featured Section & Contact Information ➜Highlight 3-5 key pieces; update regularly 12. Endorsements ➜Encourage endorsements; update regularly 13. Profile Summary ➜Research industry keywords – Don’t Shy – What’s missing from your profile? P. C: Altiam Kabir --------------------------------- If you found this helpful, please 𝐅𝐨𝐥𝐥𝐨𝐰/𝐋𝐢𝐤𝐞/𝐑𝐞𝐩𝐨𝐬𝐭 to support our effort. 🙏

I read 154 pages about LinkedIn optimization (so you don’t have to) I read 2 reports that analyzed: ↳ 2.1 million posts ↳ 34,000 profiles ↳ 26,000 company pages ↳ Across 50 countries, in 25 languages Wondering why your posts don’t work? You’re missing a few ingredients But, don’t worry I sum up the basics in this post (save it) And read Richard's reports for the details (links below) When I use these best practices My posts perform better I learned to not fight the algorithm But to use it to my advantage And you should too Then watch your posts take off 🚀 P. C: MJ Jaindl FolIow 𝐌𝐉 𝐉𝐚𝐢𝐧𝐝𝐥 for more content like this. --------------------------------- If you found this helpful, please 𝐅𝐨𝐥𝐥𝐨𝐰/𝐋𝐢𝐤𝐞/𝐑𝐞𝐩𝐨𝐬𝐭 to support our effort. 🙏

Stop scrolling. Microsoft made data skills free. If you want Excel, SQL, stats, and AI you can learn it all directly from Microsoft. 10 free, structured resources. With mini projects so you actually practice. Here’s the full list: 1/ Data Science for Beginners (10 weeks, projects) A friendly, project-based intro: 20 lessons with quizzes, notebooks, and assignments. You’ll practice Python, data cleaning, viz, and simple models. Mini project: load a CSV, clean missing values, and chart the top 5 categories. Link: https://lnkd.in/dAFp2rYe 2/ Machine Learning for Beginners (classic ML) Learn regression, classification, clustering, trees, and model evaluation using scikit-learn. Pairs well with the DS course. Mini project: train a model to predict house prices, report MAE, then improve it with feature scaling. Link: https://lnkd.in/dZUkM45 3/ AI for Beginners (deep learning + more) Covers neural nets, PyTorch/TensorFlow, and the older symbolic AI ideas so you understand the full toolbox. Mini project: build a tiny image classifier and explain one way to reduce overfitting. Link: https://lnkd.in/dSrjajfA 4/ Generative AI for Beginners (21 lessons) End-to-end GenAI basics: prompts, safety, retrieval, and app building patterns. Great for modern AI apps. Mini project: write a retrieval prompt for your notes and test it with two tricky questions. Link: https://lnkd.in/gUZ5wJBj 5/ AI Agents for Beginners (11 lessons) How agent systems plan, call tools, and work across steps. Good next step after GenAI basics. Mini project: outline an agent that reads a CSV and sends a weekly summary email; list the tools it needs. Link: https://lnkd.in/gYfzNpA2 Save this list, pick 1 course, and start your next data skill this week. -------- If you find this post helpful, please Rерost & Fоllоw 👉 𝐂𝐫𝐞𝐚𝐭𝐨𝐫 𝐏𝐥𝐚𝐧𝐞𝐭𝐗 -------------------- Wanт Weekly Creator Playbooks to Grow on Social? Join Our 20K+ Creator Community Instant Access with Worth 💲10000 FŔЕЕ Creator Blueprints ➡ Creator OS tool stack ➡ FB 0 to 100K blueprint ➡ Nano Banana prompts library ➡ 30 viral case studies ➡ LinkedIn & FB growth checklist & More 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 👉 CreatorPlanetX.com