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Top 3 AI Skills To Master In 2024 (Your Path To $100k+ With AI) Future-proof your careers by mastering: AI SKILLS. This is the future of business. And due to the high demand and not enough quality talent Companies are investing bigggg We've all seen the headlines: Tech giants investing billions in AI. Creating roles that didn't exist a few years ago. The path to $100k+ with AI is clear. In 2024, if you want to succeed You need to pivot into AI It's a blue ocean. And the playing field is leveled The whole world is learning AI together Unheard of. Here are the Top 3 AI Skills to master: - Learn about AI Agents - Learn about Voice AI and AI SDRs - Learn about Prompt Engineering - (and there’s a ton of other skills as well) The best time to learn AI was yesterday. The next best time is today. — 🚨LAST CALL 🚨 Join our "Launch Your AI Agency" Bootcamp SEPT 17 - 19 at 12pm Join 75+ others in learning how to: - identify profitable AI offers & winning niches - how to position yourself as the go-to AI Expert and - the roadmap to work towards your first $10k+ months selling AI. Hosted by Isabella Bedoya & Chase Fowler (LINK IN COMMENTS)

Top 3 AI Skills To Master In 2024 (Your Path To $100k+ With AI) Future-proof your career by mastering: AI SKILLS This is the future of business. And due to the high demand and not enough quality talent Companies are investing bigggg We've all seen the headlines: Tech giants investing billions in AI. Creating roles that didn't exist a few years ago. The path to $100k+ with AI is clear. In 2024, if you want to succeed You need to pivot into AI It's a blue ocean. And the playing field is leveled The whole world is learning AI together Unheard of. Here are the Top 3 AI Skills to master: 1. Learn AI Agents 2. Learn Voice AI and AI SDRs 3. Learn Prompt Engineering (and there’s a ton of other skills as well) The best time to learn AI was yesterday. The next best time is today. — 🚨LAST CALL 🚨 Join our "Launch Your AI Agency" Bootcamp STARTS TOMORROW! (Sept 17 - 19 at 12pm est) Join 75+ others in learning how to: - identify profitable AI offers & winning niches - how to position yourself as the go-to AI Expert and - the roadmap to work towards your first $10k+ months selling AI. Hosted by Isabella Bedoya & Chase Fowler (LINK IN COMMENTS)

AI tools can help you write code, analyze data, and even troubleshoot. But if you rely on AI before learning the basics, do you really know what you’re doing? 🤔 Without understanding the fundamentals, you might struggle when it’s time to adapt, debug, or fully grasp what’s happening behind the scenes of AI-generated solutions. Here’s why the fundamentals matter: ⁉️ Understanding Errors
- AI might fix your mistakes, but if you don’t know why something went wrong, it’s harder to avoid it next time. 🔍 Spotting AI Mistakes
- AI isn’t perfect; it can suggest code that’s inefficient or even incorrect. With a strong foundation, you’ll be able to catch these errors before they create bigger problems. 💡 Problem-Solving Skills
- Learning hands-on without shortcuts helps you develop critical thinking skills. When you understand how to solve a problem yourself, AI becomes a partner—not a crutch. 🚀 AI can be a great resource in learning, but it should be used as a tool to amplify your understanding—not replace it. Build your basics first, and you’ll be able to make the most of AI later. 💬 Have you used AI to help you learn new technical skills? Share your experience in the comments! ♻️ Share with someone using AI on their learning journey. ➕ Follow for more tips on how to stand out in a crowded market. #AI #Tech #Learning #Data #Analytics #Careers #PalmisInsights

AI Isn't Just a Shortcut—It's a Learning Accelerator. One of the biggest misconceptions about AI is that it's simply a tool to replicate or copy content. But the real value of AI goes much deeper. It’s not about cutting corners, it’s about accelerating how we learn and what we can create. Here’s what AI can do for you: 1️⃣ Extract Patterns: AI analyzes work—whether text, audio, or video—to identify key techniques, frameworks, and structures. 2️⃣ Create Templates: It turns those patterns into reusable templates, allowing you to replicate successful approaches faster and more efficiently. 3️⃣ Speed Up Learning: These templates allow you to scale your learning by building upon proven methods and applying them to your work. But here’s the kicker: AI isn’t replacing creativity. It’s enhancing it. To truly stand out, you still need your unique perspectives, creative insights, and personal points of view. AI provides the tools, but human ingenuity adds the magic. Whether crafting content, designing strategies, or solving complex problems, the combination of AI-powered insights and human creativity drives real innovation.

#future #of #work #ai #how #howto #free #course #freecourse #certificate #freecertificate #learn #guide #guides 👽 Artificial Intelligence: Preparing for the Future of Work 👽 Learn how to harness the power of artificial intelligence to thrive in an AI-driven economy in this free online course. Artificial intelligence (AI) is changing many aspects of our lives, including the way we work. This artificial intelligence course equips you with an understanding of AI and its professional uses and implications. We explore the fundamentals of AI and provide strategies you can use to adapt and thrive in this changing work environment. We also examine emerging trends and advancements in AI while probing the ethical questions surrounding its use.

A few years ago, I was navigating traditional #workflows, solving problems the "usual" way, and wondering how to make a bigger impact. Then came the opportunity to learn #ArtificialIntelligence (#AI) and #MachineLearning (#ML) through a company-upskilling program. At first, it felt overwhelming. I had no coding experience, and concepts like #algorithms and #predictivemodels seemed intimidating. But I took the leap and it changed everything. Starting with the basics, I learned to build predictive models, automate processes, and optimize systems. My first success? Developing a model to forecast inventory needs, which reduced stockouts and saved significant costs. Fast forward to today, I lead AI-driven initiatives, mentor colleagues, and collaborate on cutting-edge projects. AI/ML didn't just enhance my skills; it changed how I approach challenges and innovate solutions. To anyone considering learning AI/ML: Start small, stay curious, and apply your skills to real-world problems. The future is full of possibilities—take the leap! Read the full blog to learn how organizations and individuals are leveraging AI/ML training for success. Your next big leap might just start with learning. https://lnkd.in/gYcCsJ_K #AI #MachineLearning #ArtificialIntelligence #TechTraining #WorkplaceInnovation #FutureOfWork #DigitalTransformation #Upskilling #CareerGrowth #Leadership #BusinessInnovation #AITraining #MLTraining #EmployeeDevelopment #TechCareers #AIInBusiness #MachineLearningApplications #AIForGood #Automation #DataScience #ProfessionalDevelopment #AIAdoption #TechnologyTrends #SkillDevelopment #InnovationLeadership #AIUpskilling #DigitalSkills #LearningAndDevelopment #AIIntegration #TechBlog #hiring #CareerSuccess

Today's LLM is almost by definition a bit "overfit" as it essentially averages everything it has been trained on to give the most likely "next text" token (given prompt input). When LLM's use a half trillion nodes it's likely memorizing more than generalizing (MS next model has 500 Billion nodes!?). Seems smart because of the ability to tune its prediction based on the internal "attention" paid to the previous prompt/context text and it's vast web of internal nodes, but it's not rationalizing. It's not innovating. It's not really perceiving. It's not looking at the future and figuring out likely text for new domains and contexts that it hasn't been trained on yet. While there can be happy synchronicity when prompted about an unknown domain that happens to have concepts in common with a trained one, there can also be massive hallucination (with no built-in discernment). Like some people I guess :)

#AI is reducing the value of these skills: 🔻 Statistical analysis 🔻 Machine Learning 🔻 Data Manipulation 🔻 Programming Does that mean that these skills are unimportant? No. It just means that AI is lowering the barrier to entry for these skills. Simply put, if a skill is easier to obtain, the skill's supply increases. When supply goes up, the value of the skill goes down. But that's OK. This is why... AI is increasing the value of these skills: 🟢 Generative AI (The ability to build with AI) 🟢 Web Applications (The ability to take AI into production) 🟢 Domain Knowledge, Strategic Thinking, Problem Solving and Project Management These skills have become 10X more powerful because companies don't have people who know how to use them together to build useful cost reducing or revenue increasing AI products. Remember-- Those who can reduce costs and increase revenue will always be valued. Profit is what companies care about. And because of that, companies recognize the need for AI. They just have no clue how to make it a reality. - Matt Dancho

The golden hammer adage holds important lessons for AI, machine learning, and human learning as well. The saying? If your only tool is a hammer, you tend treat everything as if it’s a nail. One can easily become over-reliant on solutions that have worked very well for their purpose and context at that time but don’t allow us to generalize and adapt to broader sets of challenges, scenarios, and changes. Yesterday’s stategic adaptation left unexamined could harden into tomorrow’s maladaption. In AI, “overfit” implies that the model is fitting the data too much, to the point where this overattunement renders it unable to flex and accrurately generalize to new data sets—thus proving under-equipped. It may also misinterpret and misrepresent noise as signal within its training data and outputs. This is where the importance of training upon real-world diverse data and evidence can come into play, representing more realistic and representative variety and potential patterns. It’s similar to the way that professional specializations can create a barrier to cross-discipline and cross-domain considerations: the once golden-hammer may no longer be enough for the job—beyond the nail set—and this may also be hard to recognize. In human psychology, it’s also known as the “Einstellung effect” where a person's pre-existing mental habits or solutions based on certain problem sets can prime and shape an approach to such an extent that it can be a barrier to finding a a more relevant and effective solution to a problem. And these are simply common human traits related to how our mentral structures tend to form and can lock into place in the absence of more objective measures, and perspectives: the real-world training data that expands the mindset, skillset, and the toolbox. Original AI image created with Midjourney #productdesign #userexperience #productmanagement

If you haven't joined us for our AI Training Course, you must! 🧠✨ One of the things I talk about in responsibly using these tools is what I call "TRUST BUT VERIFY" - these awesome tools are amazing BUT not perfect... Here is how to prompt leveraging COMPOUND PROMPTING and always, always VALIDATE RESULTS. 🔍✅ Using The Re-Read Prompting Technique Is Doubly Rewarding For Prompt Engineering: Understand the Basics 📚 Re-read prompting involves going through your AI prompt multiple times to refine it. This ensures clarity and precision in your instructions. Enhance AI Responses 🎯 By re-reading and tweaking your prompts, you can significantly improve the quality of AI-generated responses. It helps in eliminating ambiguities and making the prompt more specific. Boost Efficiency ⏱️ A well-crafted prompt saves time. Re-reading helps you identify and correct errors or vague instructions that could lead to irrelevant outputs. Improve Learning 📖 Prompt engineering is an evolving field. Constantly refining your prompts through re-reading helps in better understanding AI behavior and improving your skills. Foster Creativity 🌟 Re-reading prompts encourages you to think of new ways to phrase questions or commands. This can lead to more creative and diverse AI responses, making your work stand out. Ensure Consistency 🔄 Consistency in prompts leads to consistent AI outputs. Re-reading helps maintain this consistency, especially when working on large projects. Validate Results 🛠️ Before finalizing, re-read your prompts to ensure they align with your desired outcomes. This step is crucial for achieving accurate and reliable AI responses. Join us and master these techniques to unlock the full potential of AI in your work! 🌐💡 #AITraining #AI #ArtificialIntelligence #PromptEngineering #techstackqueen #taketheleap #staffingandrecruiting Interested in our course? Sign up int he comments below! ------------------------------ Well hello there! 🙋🏻♀️My name is Lauren B. Jones! My friends call me LJ!   🤓Need to talk all things staffing/recruiting/work tech?  🚺Need a speaker for your next event? 👠A woman in need is a friend indeed - reach out    Want the real deal? Want to make a difference? Give me a follow 👆🏼