Tips to Expand Knowledge in Artificial Intelligence

Remember when learning something new meant endless Google searches and YouTube videos? Those days are gone. AI has completely transformed how we can learn anything - and I mean ANYTHING. Let me show you how. 1. The "Explain Like I'm New" method This works great when you're totally lost about something. AI breaks down complex concepts using everyday terms and examples. 📝 Prompt: "Explain [topic] to someone who has zero background in it. Use everyday examples and avoid technical terms. Focus on core concepts that make it click." 2. Examples that actually make sense Ask AI to explain things using real-life examples. This makes abstract concepts feel more concrete. 📝 Prompt: "Give me 3 real-world examples that explain [concept]. Use scenarios from daily life that would help a beginner understand this better." 3. Getting motivated when you're stuck When you're feeling "meh" about learning, you can get strategies from AI that actually work for your situation. 📝 Prompt: "I'm struggling to stay motivated while learning [topic]. Share 5 practical strategies to regain momentum, and explain how each one helps overcome common roadblocks." 4. Practice through role-play Have AI play different roles to help you learn. This is perfect for practicing conversations and scenarios. And it is less awkward than practicing with real humans, isn't it? 📝 Prompt: "Let's do a role-play where you are [role] and I am [role]. We'll practice [specific situation]. Give me feedback on my responses and suggest improvements." 5. Creating study plans that don't overwhelm Tell AI your goal and available time. Get a broken-down plan that's actually doable for you. 📝 Prompt: "Create a 30-day study plan for learning [topic]. I can dedicate [X] hours per week. Break it down into small, manageable daily tasks and include milestones to track progress." 6. Quick knowledge checks Ask AI to quiz you on what you've learned and get explanations for wrong answers. 📝 Prompt: "Create a mix of 5 easy, medium, and challenging questions about [topic]. Include explanations for each answer and point out common misconceptions." 7. Connecting the dots See how different ideas link together. It makes remembering what you've learned a lot easier. Here's how: 📝 Prompt: "Create a concept map showing how [topic] connects to other related ideas. Explain each connection and why it matters." Pro tips for better results: - Be specific about your current level - Mention your learning style - Ask for examples you can relate to - Request simpler explanations if needed Remember: AI is like having a patient friend who never gets tired of explaining things. The key is asking the right questions! Try these prompts and let me know how they work for you! 👇 🔁 Repost if this inspired you. 💻 And follow #AIwithAnurupa to stay updated with everything AI. #ai #artificialintelligence #learning #education

My Service Design team at LinkedIn has been actively wokring to experiment with and learn about the new AI tools. So far we've learned that: 🔹 We've got to try the tool to know the tool 🔹 We should document everything - prompts used, tools tried, use cases applied, everything 🔹 We should spend more time writing better prompts to get better results 🔹 We've got to set aside time for learning, for experimentation, for reflection It's now been over a month of intensive experimentation and testing of new AI tools for myself and my team. Some people have been experimenting far longer than that. This post is not for you (though if you have words of wisdom to share in the comments, please do!). If you haven't started trying out the new AI Tools, or you're early in your journey, read on. I wanted to share an early version of a framework for thinking about how to get a handle on the emerging AI Tools landscape: 1️⃣ Learning about new tools - prompt the LLMs, listen, read and watch There are so many new tools to potentially test out. Whatever the use case, I always start by checking with Claude about which tools it would recommend and why. But I also want serendipity and so I am listening to and watching podcasts - Dive Club, Lenny's, How I AI, Beyond the Prompt are my go-tos for now - and reading sources like Lenny's Newsletter, and the Listed AI newsletter to learn about new tools and new use cases. I'm sure there are many other great sources. ❓ What are you go-to sources for learning about AI? 2️⃣ Documenting and evaluating everything that we do to help with tool selection Not only do you have to sift through a growing mountain of new tools, but you also have to match tools with use cases. With that in mind, my team and I keep a running list of problems or opportunities we want to test out AI tools on. In addition, I'm documenting the steps in our workflow, what tools we use today, and where we might integrate new tools to save us time, or improve the quality of our work. This makes it easier to match potential tools with use cases and parts of our workflow. 💡 Clearly documenting what you do and where you might apply new AI tools makes it far easier to move past the paradox of choice with all the new tools, and select a subset to try out. 3️⃣ Set aside time to experiment with the tools - learning the tools does require an investment of time. We meet regularly as a team to experiment and test out new tools. The possibilities of productivity improvements, and quality improvements are real enough that it makes sense for us to devote time to this. I believe it will pay off significantly in the long term. ⏲️ You aren't getting more time in your week, and I'm guessing you were already busy, so you have to make a conscious choice to repurpose some existing time for testing out the new tools. ❓How are you approaching the new AI tools? #AI #Vibecoding #LIPostingDayJune

Want to future-proof your career and start leveraging AI? Here's how I did it, ranked from easiest to most ambitious: 1️⃣ 𝗥𝗲𝗮𝗱 𝘂𝗽 𝗼𝗻 𝗔𝗜 𝘁𝗿𝗲𝗻𝗱𝘀, 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝗲 𝘂𝘀𝗲, 𝗮𝗻𝗱 𝘁𝗲𝘀𝘁 𝘁𝗼𝗼𝗹𝘀 𝘁𝗼 𝗴𝗲𝘁 𝗮𝗰𝗾𝘂𝗮𝗶𝗻𝘁𝗲𝗱 • 𝗥𝗘𝗔𝗗: https://lnkd.in/eT-nzYP9 I recommend Heather Murray 's AI for Non-Techies Newsletter. It's a fun treasure trove of useful information. • 𝗥𝗘𝗦𝗣𝗢𝗡𝗦𝗜𝗕𝗟𝗘 𝗨𝗦𝗘: AI (Generative AI especially) is not infallible. Learn about the mistakes it can make, the issues it can cause, and how to navigate them. • 𝗧𝗘𝗦𝗧 (𝗜𝗻 𝗧𝗵𝗲 𝗙𝗹𝗼𝘄 𝗼𝗳 𝗪𝗼𝗿𝗸): For $15/mo, Canva is an amazing option because you can test alot of current capabilities. For $20/mo, Microsoft Copilot Pro can be added to your Office 365 account. Also for $20/mo, Google offers AI premium for your workspace (GMail, Docs, Sheets, etc). 2️⃣ 𝗔𝗽𝗽𝗹𝘆 𝘁𝗼 𝘆𝗼𝘂𝗿 𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝗿𝗼𝗹𝗲 𝗮𝗻𝗱 𝘀𝘁𝗮𝗿𝘁 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗶𝗻𝗴 𝘀𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗔𝗜-𝗿𝗲𝗹𝗮𝘁𝗲𝗱 𝘀𝗸𝗶𝗹𝗹𝘀. If your company offers access to AI tools, get access and use them according to their use policy. If not, create sample scenarios at home and practice. 3️⃣ 𝗙𝗶𝗻𝗱 𝗮𝗻 𝗔𝗜 𝗺𝗲𝗻𝘁𝗼𝗿 𝘄𝗵𝗼 𝗵𝗮𝘀 𝗺𝗮𝗱𝗲 𝗮 𝘀𝗶𝗺𝗶𝗹𝗮𝗿 𝗰𝗮𝗿𝗲𝗲𝗿 𝘁𝗿𝗮𝗻𝘀𝗶𝘁𝗶𝗼𝗻. Share that you're interested in learning more in your field. Ask if coworkers or your LinkedIn network if anyone incorporated AI into their work. Offer to continue to learn together. 4️⃣ 𝗔𝘁𝘁𝗲𝗻𝗱 𝗔𝗜 𝘄𝗲𝗯𝗶𝗻𝗮𝗿𝘀 𝗮𝗻𝗱 𝗲𝘃𝗲𝗻𝘁𝘀 𝘁𝗼 𝗼𝗽𝗲𝗻 𝘆𝗼𝘂𝗿 𝗲𝘆𝗲𝘀 𝘁𝗼 𝗻𝗲𝘄 𝗽𝗼𝘀𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀. There's no shortage of free webinars, conferences, etc. talking about AI. Get involved. 5️⃣ 𝗘𝗻𝗿𝗼𝗹𝗹 𝗶𝗻 𝗰𝗼𝘂𝗿𝘀𝗲𝘀 𝗮𝗻𝗱 𝗴𝗲𝘁 𝗰𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗶𝗻 𝗔𝗜 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝗳𝗶𝗲𝗹𝗱. Professional organizations and technology vendors offer lots of free training for specific use cases. 6️⃣ 𝗝𝗼𝗶𝗻 𝗮𝗻 𝗔𝗜 𝗽𝗶𝗹𝗼𝘁. Talk to your manager about opportunities. Make it one of your professional goals to stand out. If they aren't there, contact your professional or volunteer organizations. 7️⃣ 𝗣𝗶𝘁𝗰𝗵 𝗮 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝘁𝗼 𝗴𝗲𝘁 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲. Use what you've learned to pitch an opportunity to create value at your company, your professional, or your volunteer organizations. Do these make sense for you? How are you going about it? #artificialintelligence #innovation #changemanagement #technology #digitaltransformation

In recent times, I've had the pleasure of engaging with many individuals who are enthusiastically venturing into the fascinating domains of AI, ML and GenAI as part of their ongoing learning endeavors. Personal motivation is the biggest factor and the more you learn, more hungry you will feel about acquiring knowledge and explore applications. I suggest this valuable concept from Japanese martial arts known as "Shuhari” for AI learning endeavors. This concept provides a structured approach to learning and mastery: Shu (守) - Grasp the Fundamentals: - Begin at the Shu stage, where your focus is on acquiring a strong understanding of the basics. - Just as martial arts students learn by emulating their master's precise movements, in AI and ML, this involves immersing yourself in the foundational principles, algorithms, and tools (understanding of mathematics, including linear algebra, calculus, and statistics, is essential for comprehending the underlying principles of AI algorithms). - This is the phase for building a robust knowledge base and skill set. Ha (破) - Explore and Integrate: - Transitioning to the Ha stage signifies a broader exploration. Here, it's about experimentation and learning from multiple sources, akin to martial artists who incorporate various styles into their practice. - Experiment with different AI and ML approaches, blend insights from diverse experts, and integrate these learnings into your AI and ML practice. Your personal strength will be what you bring to the table at this level - domain-specific knowledge in applying AI effectively in real-world scenarios. - This phase encourages adaptability and synthesis. Ri (離) - Innovate and Apply Creatively: - The Ri stage represents the zenith of mastery. At this point, you should aim to become a problem solver in the AI and ML domain. - Like martial artists who develop their unique styles, you'll apply your knowledge creatively across a range of industry domains. Innovate by creating novel algorithms, new approaches, and pushing the boundaries of what's possible. - This is the stage where you could truly begin to lead in the field. And on a personal note, I've been on this path for six years straight, and I genuinely believe this investment is worth it for personal transformation and staying relevant in this dynamic field. AI can benefit from all, and AI can benefit all. #AI #GenAI #MachineLearning #ShuhariMastery

The inaugural LinkedIn Skills on the Rise list is out, and here's what's fascinating: AI Literacy isn't just #1— AI can actually help you develop the #2 and #3 skills on the list! (Conflict Mitigation and Adaptability) This synergy creates a powerful opportunity for professional growth in 2025. 1️⃣ AI LITERACY What's the best way to build your—and your team's—AI skills fast? Here are tips from my new book, "How to Think with AI": 1.    Take the leap now: Don't wait for perfect clarity or "when you have time." The opportunity cost of waiting rises every quarter as AI advances. 2.    Try using AI as a thought partner: Instead of basic requests, challenge AI with sophisticated problems—a conflict with a colleague, a market opportunity analysis, or a strategic decision. Higher expectations lead to more valuable results. Keep the dialogue going with follow-up questions and feedback—AI improves through conversation. 3.    Make it a habit: If you are struggling to fit AI into your life, apply the five-minute rule. Start with just five minutes of AI interaction daily, and do that for a month—small enough not to feel like work but consistent enough to build the habit. Every day, ask yourself "how could AI help me today?" to expand your thinking of where AI can deliver value to you. 2️⃣ CONFLICT MITIGATION Try using AI as a "neutral" perspective: AI can serve as an impartial "third party" to evaluate different sides of a conflict. Have it role-play various stakeholders to simulate negotiations before difficult conversations, helping you anticipate objections and prepare responses. This preparation can significantly reduce tension when addressing real conflicts. 3️⃣ ADAPTABILITY AI supercharges your ability to navigate change. For example, try this: Future scenario planning: AI excels at exploring multiple possible futures and their implications. Challenge AI to generate diverse scenarios for upcoming changes—from market shifts to organizational restructuring—and work through potential responses for each. Perspective expansion: AI can help you view situations through different lenses —customers, competitors, regulators, different generations, diverse cultural viewpoints—revealing blind spots in your thinking. ____ 👋 Hi, I'm Alison McCauley, and focus on how to leverage AI to do better at what we humans do best. I'll be sharing more about how to Think with AI to boost your brainpower. Follow me for more, and share your thoughts below! https://lnkd.in/gQgA6sGi

Here's a little secret: learning AI isn't as confusing as it seems. When I first dove into AI, I felt overwhelmed by the sheer volume of resources. The internet is filled with tutorials, courses, and books. It's like standing in front of an endless library with no map. But guess what? Finding your way isn't impossible. Here’s how I did it: 1. Start Small: I began with basic concepts. Instead of jumping into advanced algorithms, I looked for simple explanations of terms like "machine learning" and "neural networks." This gave me a strong foundation. 2. Follow a Path: There are countless courses out there, but not all of them are created equal. I picked one well-reviewed beginner course and stuck with it. Consistency matters more than jumping from one resource to another. 3. Practice, Practice, Practice: Theory is great, but coding is where the magic happens. I practiced through small projects, even if it was just predicting house prices using linear regression. Hands-on experience is essential. Some resources that helped me - https://leetcode.com/ https://lnkd.in/gV_euj-H 4. Join a Community: I sought out forums and groups where people discussed their AI journeys. Learning from others' experiences and sharing my own kept me motivated and provided answers when I got stuck. Here are some I follow - https://lnkd.in/gb4dQNYp https://lnkd.in/gWVMaTnA https://lnkd.in/gTMMyKtQ 5. Stay Curious: AI is constantly evolving. I made it a habit to read news and research papers to stay updated. It’s amazing how much you can learn by staying curious and asking questions. Yes, there are a lot of resources, but the key is to start simple and stay consistent. Before you know it, you’ll be navigating the vast world of AI with confidence. Ready to dive in? Just take the first step! #ai #datascience #mentorship #guide #llms #genai