How to Build AI Fluency in Technical Roles

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Summary

Building AI fluency in technical roles means understanding and using AI tools effectively to execute tasks and solve problems, with skills like prompt crafting and workflow planning being key to adapting AI solutions in your work.

  • Learn prompt crafting: Focus on creating clear and specific prompts that guide AI tools to generate desired results, as this is the foundation of interacting successfully with AI models.
  • Practice prompt chaining: Develop the ability to connect multiple prompts in a logical sequence to accomplish complex tasks, ensuring each step works towards the intended outcome.
  • Engage in continuous learning: Stay updated on AI trends, attend webinars, and explore tools hands-on to build practical expertise and keep pace with advancements in the field.
Summarized by AI based on LinkedIn member posts
  • View profile for Nicole Leffer

    Tech Marketing Leader & CMO AI Advisor | Empowering B2B Tech Marketing Teams with AI Marketing Skills & Strategies | Expert in Leveraging AI in Content Marketing, Product Marketing, Demand Gen, Growth Marketing, and SaaS

    22,291 followers

    More and more people are telling me they're excited to dive into AI automation, but a lot want to skip straight from using free ChatGPT to creating advanced automations overnight. Before you dive headfirst into AI automation, I recommend getting good at two critical foundational AI skills first 👇 1️⃣. Become adept at crafting effective prompts for advanced AI models (GPT-4, Claude 3 Opus, Gemini Ultra). The success of AI automation hinges on consistent prompt performance to achieve desired, reliable outcomes. This means understanding how to craft great prompts, as well as understanding how AI interprets prompts, is vital for generating automation results that align with your goals. Honing your skills in interacting with AI to achieve consistent results is the first step towards being able to automate AI processes successfully. 2️⃣. Develop a deep understanding of prompt chaining. Once you understand how to write great prompts, the ability to seamlessly chain prompts together is essential. The real magic of AI automation unfolds when the output from one prompt smoothly transitions into the input for another, creating a chain of actions that leads to your intended end result. This requires a deep understanding of how to connect prompts in a workflow in a way that facilitates a continuous movement toward your objectives. To start building this understanding and skill, you need to start paying close attention to what happens at each step after the initial prompt in your chatbot conversations. Develop an understanding of the sequence of prompting steps necessary to reach your final goal. This understanding will be key to designing effective automation workflows and writing your high performing automated prompts.  👉The potential of AI automation is extraordinary, but tapping into that potential relies on your proficiency in creating precise prompts and strategically planning their sequencing. I know we all want to skip the learning and just be proficient at the cool things. Unfortunately that's not how it works. Undertaking AI automation without a solid grasp of these two components is setting you up for frustration and failure. If you're interested in getting better at prompting and chaining your prompts, and you're a marketer that's not already following me on here, make sure to hit that follow button. I train marketing teams at companies ranging from Series A startups to Fortune 50 household names on how to use generative AI, and I share a TON of free education on LinkedIn that will help you learn more every day (and I'm also working on an online course for those who really want a solid foundation of generative AI skills for B2B Marketing, so you have the understanding and knowledge to take on some of these more advanced use cases). I'm happy to help support you on your learning journey and help you get to the point you can do the REALLY cool things!

  • View profile for Tony Fatouros

    Vice President, Transformation | Author of "AI Ready" | Board Member - SIM South Florida

    3,376 followers

    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

  • View profile for Albert Chun

    Founder of AI Circle

    21,514 followers

    I reviewed 27 job listing. Guess what I found: AI companies are looking for creative, entrepreneurial problem-solvers. I am always trying to understand what the market is doing. One of the best ways for me is to see where companies are investing their dollars in terms of talent. The common thread across all companies? They're all looking for Solutions Architects and Sales Engineers. Why? - Go-to-market motions are not yet mature enough to be repeatable - The ROI for these roles has been proven. Time to hit the gas - Companies set ambitious new business goals for 2024 - Every solution is bespoke and requires consultation - Clients are reliant on the guidance of experts - Sales motion is not repeatable - We're all so early Here's what I would do: - Join a community of learners - Review companies' use cases - Book demo calls with AI companies - Attend a webinar or two once a week - Subscribe to newsletters like Janelle Teng' s https://lnkd.in/g7Yw9eHr - Follow LinkedIn thought leaders like John Larson, Arsalan (RC) Mosenia, PhD, and James (Zheng) Yi. - Read articles like this one from my friend James A. Rolfsen: https://lnkd.in/g59uaWz5 Building fluency around a new topic is difficult It's humbling and requires a great deal of discipline The best way I've learned is to take it one day at a time Get a few like-minded friends, stay connected, and discuss Daily habits of learning each day beats intensive spikes Be around people you can learn from and teach to The goal is to be able to ELI5 - not flex jargon Like and share with your networks to build their AI fluency because we're all in this together. If you found this valuable, follow me for more at Albert Chun #artificialintelligence #ai #breakintoai #machinelearning #computervision

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