Start your AI career with Free Agent Course

If starting a career in AI was your goal, why wait for 2026? You can begin today with this: ⚡ 𝗙𝗿𝗲𝗲 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗖𝗼𝘂𝗿𝘀𝗲 (𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿-𝗙𝗿𝗶𝗲𝗻𝗱𝗹𝘆!) You don’t need to block hours. Just 30 minutes a day is enough — what matters is consistency. Think about it 👇 ➡️ 30 minutes daily × 30 days = 15 hours ➡️ 15 focused hours = a solid foundation in AI agents 💡 The best part? This course is well curated with notes, exercises, and practical examples — so you’re not just learning theory, you’re actually building. top overthinking. Start doing. Your AI career story can begin before 2026 even arrives. (Link in the comments 👇)

AI is not the future; it's the present. From intelligent assistants to automated workflows, it's already reshaping how we work and innovate. The most valuable skill now is not resisting AI, but learning how to collaborate with it.  #AI #ArtificialIntelligence #FutureOfWork #Innovation #DigitalTransformation

Only 88 days left in 2025. If starting a career in AI was your goal, why wait for 2026? You can begin today with this: ⚡ 𝗙𝗿𝗲𝗲 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗖𝗼𝘂𝗿𝘀𝗲 (𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿-𝗙𝗿𝗶𝗲𝗻𝗱𝗹𝘆!) You don’t need to block hours. Just 30 minutes a day is enough — what matters is consistency. Think about it 👇 ➡️ 30 minutes daily × 30 days = 15 hours ➡️ 15 focused hours = a solid foundation in AI agents 💡 The best part? This course is well curated with notes, exercises, and practical examples — so you’re not just learning theory, you’re actually building. top overthinking. Start doing. Your AI career story can begin before 2026 even arrives. (Link in the comments 👇)

If relationships are key to economic mobility, what happens when AI tools start replacing human career guidance? Episode 2 of Learning Curve Conversations with Meron Tekle features Julia Freeland Fisher from Clayton Christensen Institute exploring how schools can harness AI's benefits while preserving the human connections students need to thrive. The question isn't whether AI can provide information—it's whether students lose something essential when they get guidance from a bot instead of a human. What are we trading away?

Day 2 of learning AI Agents, and I've hit the core dilemma of our industry. The efficiency boost for roles like marketer and programmer is undeniable—new opportunities are being created. But the rate of model updates is so rapid, it feels like we’re entering an era where stopping your education means risking your livelihood. What is your company's strategy for tackling the "AI learning curve"? How fast is too fast, and how do we prepare our teams for a world where the tools fundamentally change every few months or even weeks?

Learn fast, talk smarter! Starting this week, with #IBMSkillsBuild, you can get a quick overview of how AI is shaping a particular industry (in under 10 minutes). 📌 Prep for your next interview or networking conversation with an understanding of industry cases for innovation with AI. These use cases are based on IBM case studies with clients. ⚡Industry use case for this week⚡: Jumping on the Grand Prix bandwagon this week, learn about how Ferrari is driving fan engagement with IBM watsonx. ➡️ ibm.biz/ferrariairacing #AI #generativeAI #IndustryMagicWithAI #COTA #F1 #Formula1 #USGP #interview #networking #university #communitycollege #students #faculty #developers

𝗘𝘃𝗲𝗿𝘆𝗼𝗻𝗲’𝘀 𝘁𝗿𝘆𝗶𝗻𝗴 𝘁𝗼 𝗯𝗲𝗰𝗼𝗺𝗲 𝗮𝗻 𝗔𝗜 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗿𝗶𝗴𝗵𝘁 𝗻𝗼𝘄—𝗯𝘂𝘁 𝗺𝗼𝘀𝘁 𝗮𝗿𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘁𝗵𝗲 𝘄𝗿𝗼𝗻𝗴 𝘀𝗸𝗶𝗹𝗹𝘀. Here’s the reality: 𝟵𝟱% of courses still teach you to build neural nets from scratch. But 𝟴𝟴% of AI jobs actually want engineers who can adapt GPT or others LLM, build RAG systems, fine-tune, and deploy at scale. That’s the skills gap. And it’s why so many aspiring AI engineers aren’t landing jobs. From working with big company and analyzing 200+ job postings, I found 7 core competencies that separate top AI engineers:  • Foundational models  • Advanced prompting  • RAG systems  • Model adaptation  • Production & deployment  • Agent systems  • Evaluation & monitoring The secret isn’t learning everything at once—it’s mastering them in sequence with the right resources.

📅 Day 1 – Welcome to #30DaysOfML ✨ A new journey begins! Today, I’m launching my 30 Days of Machine Learning Professional Training Program — right here on LinkedIn. Over the next month, I’ll share practical lessons, real-world insights, and simple ways to understand how machines actually learn — without heavy math or jargon. This program is for anyone curious about AI — whether you’re a student, developer, or professional exploring how data shapes decisions. 💭 By the end of 30 days, you’ll be able to understand ML models, evaluate their performance, and even build a few of your own. If you’ve ever thought, “Machine Learning seems too complex,” — this series is your starting point. 🚀 Let’s grow together, one post a day. #MachineLearning #AI #LearnML #DataScience #ProfessionalGrowth

What’s one way you’ve used AI to simplify a task? I've made AI my assistant in proof-reading my works, checking for spelling errors and I have also created some GPT's for specific tasks, both for my students and clients, helping them with career-ready tools, to accelerate their career, get them ready for their next level professional growth and also to build efficiency in their work.

Are you a graduate stepping into the 2025 job market? Spoiler alert: AI is a pretty big deal 🤖 But which AI skills will actually get you hired? Don’t worry, we’ve got you. From machine learning to knowing your way around a large language model, here are the top six AI skills every graduate needs to know. Ready to find out more about the skills that will set you apart? Read the full article here: http://bit.ly/470AB0T #AISkills #GraduateJobs #CareerAdvice