Tech Skills for Future Jobs

It took me 6 years to land my first Data Science job. Here's how you can do it in (much) less time 👇 1️⃣ 𝗣𝗶𝗰𝗸 𝗼𝗻𝗲 𝗰𝗼𝗱𝗶𝗻𝗴 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 — 𝗮𝗻𝗱 𝘀𝘁𝗶𝗰𝗸 𝘁𝗼 𝗶𝘁. I learned SQL and Python at the same time... ... thinking that it would make me a better Data Scientist. But I was wrong. Learning two languages at once was counterproductive. I ended up being at both languages & mastering none. 𝙇𝙚𝙖𝙧𝙣 𝙛𝙧𝙤𝙢 𝙢𝙮 𝙢𝙞𝙨𝙩𝙖𝙠𝙚: Master one language before moving onto the next. I recommend SQL, as it is most commonly required. ——— How do you know if you've mastered SQL? You can ✔ Do multi-level queries with CTE and window functions ✔ Use advanced JOINs, like cartesian joins or self-joins ✔ Read error messages and debug your queries ✔ Write complex but optimized queries ✔ Design and build ETL pipelines ——— 2️⃣ 𝗟𝗲𝗮𝗿𝗻 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀 𝗮𝗻𝗱 𝗵𝗼𝘄 𝘁𝗼 𝗮𝗽𝗽𝗹𝘆 𝗶𝘁 As a Data Scientist, you 𝘯𝘦𝘦𝘥 to know Statistics. Don't skip the foundations! Start with the basics: ↳ Descriptive Statistics ↳ Probability + Bayes' Theorem ↳ Distributions (e.g. Binomial, Normal etc) Then move to Intermediate topics like ↳ Inferential Statistics ↳ Time series modeling ↳ Machine Learning models But you likely won't need advanced topics like 𝙭 Deep Learning 𝙭 Computer Vision 𝙭 Large Language Models 3️⃣ 𝗕𝘂𝗶𝗹𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 & 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝘀𝗲𝗻𝘀𝗲 For me, this was the hardest skill to build. Because it was so different from coding skills. The most important skills for a Data Scientist are: ↳ Understand how data informs business decisions ↳ Communicate insights in a convincing way ↳ Learn to ask the right questions 𝙇𝙚𝙖𝙧𝙣 𝙛𝙧𝙤𝙢 𝙢𝙮 𝙚𝙭𝙥𝙚𝙧𝙞𝙚𝙣𝙘𝙚: Studying for Product Manager interviews really helped. I love the book Cracking the Product Manager Interview. I read this book t𝘸𝘪𝘤𝘦 before landing my first job. 𝘗𝘚: 𝘞𝘩𝘢𝘵 𝘦𝘭𝘴𝘦 𝘥𝘪𝘥 𝘐 𝘮𝘪𝘴𝘴 𝘢𝘣𝘰𝘶𝘵 𝘣𝘳𝘦𝘢𝘬𝘪𝘯𝘨 𝘪𝘯𝘵𝘰 𝘋𝘢𝘵𝘢 𝘚𝘤𝘪𝘦𝘯𝘤𝘦? Repost ♻️ if you found this useful.

10 things i would do today … if i were to get into cybersecurity. (Cybersecurity career week edition) 1. Ask yourself WHY you are interested to be in cybersecurity vs other field ? 2. Understand that cybersecurity isn’t one role - its very broad with wide array of domains & roles -> see which domain speaks to you most & is of your interest. linked few pathway resources ⬇️ 3. Once you know which area of cyber, start building your skills through self study, certs, formal education, extra curricular activities such as Cyber Defense competition, CTF, internships or combination of all etc -> i did a combination of all. 4. For certs i recommend to start with basics ISC2 CC, Security+ then expand on more specializations depending on your interest. I started with Net+, Sec+, Cysa+ then to CISA, CCSK, SANS GCLD, 4x AWS, 2x Azure certs etc. Goal is to build skill so do hands on labs to help stick the concepts. 5. Get on LinkedIn - look for folks with positions you aspire to be in…follow their journey, posts, listen to podcasts they were on & talks, conversations to learn about that space. Also look into the roles you want to be in, see the job requirements to make sure you get yourself ready accordingly. 6. Document your learning, school projects, internships you have done. If you are a career changer bring on your relevant essential skills. If you are pivoting to a different role or domain do make sure to translate the skills from your prior roles -> i switched from IT internship, security auditing -> infosec engineering -> cloud security engineering. 7. If you are currently in an IT or some other role consider looking for cybersecurity opportunities internally to job shadow & make connections. This can be done by speaking to your leaders & letting your intentions/goals be known for such possible arrangements -> I did this when i was an IT intern. 8. Network, make connections, request for informational interviews. Be part of a community to build your connections & confidence. Being part of communities will actually get you the mentorship you need - usually they have mentors as part of the programming. 9. Build your personal brand. It’s important to stand out from the crowd & makes it easier to be tapped in for opportunities. That’s why it’s important to establish professional online presence sharing what you do, your learning, your expertise, challenges, wins & perspectives on security topics - get on LinkedIn -> I got my current role & many opportunities through LinkedIn - I created a whole LinkedIn course on the HOW 🔗 ⬇️ 10. Refine your resume combining all to apply for roles. Even if you don’t meet all the requirements apply anyway. Keep trying while learning from each interview & working on areas of improvement. Bonus- Be a continuous learner & follow these cyber folks posting great resources & insights 👇🏾 Ps. what did I miss 🤔 #cybercareers #cybersecurity #choosecyber #cybercareerweek #cybersecurityawarenessmonth #careers

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

Are you contemplating to pivot into data analytics & data science field? As someone who has been in the field since 2013, and who's been mentoring and coaching others in the data field for the past 7 years, here are my thoughts: 𝐓𝐢𝐦𝐞-𝐫𝐞𝐥𝐞𝐯𝐚𝐧𝐭 𝐠𝐢𝐯𝐞𝐧 𝐭𝐨𝐝𝐚𝐲’𝐬 𝐜𝐡𝐚𝐧𝐠𝐢𝐧𝐠 𝐭𝐞𝐜𝐡 𝐥𝐚𝐧𝐝𝐬𝐜𝐚𝐩𝐞: 𝟏) 𝐋𝐞𝐯𝐞𝐫𝐚𝐠𝐞 𝐀𝐈 𝐭𝐨𝐨𝐥𝐬 𝐨𝐯𝐞𝐫 𝐬𝐭𝐚𝐫𝐭𝐢𝐧𝐠 𝐟𝐫𝐨𝐦 𝐬𝐜𝐫𝐚𝐭𝐜𝐡 Instead of learning SQL or Python from scratch, focus on using AI tools to meet existing analysis needs. For example, master how to craft prompts to generate SQL or Python code, or use GenAI to build processes, streamline data workflows, and uncover insights faster. You can also harness LLMs to enhance your analysis and insights generation, rather than slowly building your portfolio through years of hands-on experience. Use LLMs to critique and refine your insights and recommendations, ensuring that what you propose aligns with business goals and stakeholder questions. 𝟐) 𝐓𝐚𝐫𝐠𝐞𝐭 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 𝐰𝐢𝐭𝐡 𝐠𝐫𝐨𝐰𝐭𝐡 𝐩𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥 Focus on industries with bright futures like GenAI, healthcare, cybersecurity, green energy, or mental health. These sectors are more likely to need data professionals to drive growth through analysis and insights. Do your research by searching for industry reports or talking to seasoned practitioners to identify promising industries. Reports or analyses published by organizations such as below can be your start, e.g. US Bureau of Labor Statistics, McKinsey Global Institute, World Bank, CB Insights, or Gartner. 𝐒𝐨𝐦𝐞 𝐭𝐢𝐦𝐞𝐥𝐞𝐬𝐬 𝐚𝐝𝐯𝐢𝐜𝐞: 𝟏) 𝐆𝐞𝐭 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐟𝐢𝐫𝐬𝐭, 𝐜𝐫𝐞𝐝𝐞𝐧𝐭𝐢𝐚𝐥𝐬 𝐚𝐧𝐝 𝐩𝐞𝐫𝐟𝐞𝐜𝐭𝐢𝐨𝐧 𝐥𝐚𝐭𝐞𝐫 Instead of pursuing yet another bootcamp or credential (though you do need baseline technical skills), start by volunteering, interning, or offering to help current practitioners with projects. Build a portfolio using open-source data, freelance on platforms like Fiverr or Upwork, and secure your first data job—even if it’s not a 100% match to your current criteria. The ideal industry or company will come later once you’re in the door. 𝟐) 𝐍𝐞𝐯𝐞𝐫 𝐬𝐭𝐨𝐩 𝐧𝐞𝐭𝐰𝐨𝐫𝐤𝐢𝐧𝐠 Whether it’s validating a specific industry’s need for your skills, creating opportunities for referrals, or honing your pitch for future interviews, networking is critical for career transitions and building long-term influence in your field. Identify “hubs” of people or communities that can help you gain new opportunities. Communities such as Women in Big Data, Women in Data Science (WiDS) Worldwide, or Data Science Association (that I helped co-found), can be your starting point. If you've been contemplating or ready to make the switch, book a Discovery session (via my profile) as your first step! Let’s explore how I can help you in our 1:1 coaching space—where to focus, and what steps to take to launch your new career in data analytics.

Trying to land a job in cybersecurity? Here's the secret: Skills matter more than credentials. And the best way to build those skills? Practice. Here’s how I’d start if I were you: -Set up a home lab using tools like Snort, Suricata, or Zeek. -Simulate attacks using Exploit DB and Kali Linux. -Document your findings on LinkedIn, YouTube, Medium, or GitHub.   Want to take it up a notch? -Compare IDS systems (ex. Snort, Suricata, Zeek, Wazuh etc.) -Compare integration methods (ex. Splunk vs. ELK Stack) -Present work at a conference. -Write a paper. (Ex. https://lnkd.in/g9uZmnxH)   ✍️Certificates/Degrees are great, but you won't go far if you can't talk about the concepts! Projects show initiative. Plus, it helps with small talk during interviews. Here’s a few examples with links: 1.Monitor Your Home Network: -Set up Snort: https://www.snort.org/ -Ex. Use it to log and analyze traffic—like web browsing or SSH connections. 2.Simulate Attacks in a Safe Environment -Download Kali Linux and Metasploitable2: https://lnkd.in/gzebUBeE -Ex. Run mock attacks (port scans, brute force attempts, etc.) and test detection ability. 3. Write Your Own Rules -Create custom Snort rules to detect behaviors: https://lnkd.in/g7PUp4H2 -Ex. Blocking access to admin pages or spotting malicious uploads. 4.Visualize Your Findings -Integrate Snort with Splunk or ELK Stack to build dashboards: https://www.splunk.com/ -Ex. Visualize alerts, traffic trends, and risks. 5. Practice with Real Vulnerabilities -Use the Exploit-DB to explore known exploits: https://lnkd.in/gGs8QHfT -Simulate attacks in your lab and see how Snort responds. Start small. Experiment. Build confidence. You GOT THIS! 🤩

🔑 How to Land Your First Cybersecurity Role: A Guide for 2025 🚀 Friends and Fam, I’ve been getting a few messages asking, “How do I land my first cybersecurity job?” Trust me, I've been there before. Breaking into cybersecurity can seem overwhelming, but with the right preparation, mindset, and resources, it’s more achievable than you think. Whether you’re starting fresh or transitioning into the field, here’s a roadmap w/ guidance and resources to get you closer to that first role: 1️⃣ Build Your Foundation w/ Certifications This shows employers you’re serious about cybersecurity, even if you don’t have experience. Top picks for beginners: CompTIA Security+ - 🔗 https://lnkd.in/gbv5Y-eW ISC2 Certified in Cybersecurity (CC) - 🔗 https://lnkd.in/gsJ2_Zzz Microsoft Azure Fundamentals (AZ-900) - 🔗 https://lnkd.in/gm-XNN3E 2️⃣ Gain Hands-On Experience Certifications are great, but practical skills are priceless. Here’s where to start: Explore simulation platforms to practice ethical hacking and pen testing 🔗 https://tryhackme.com 🔗 https://www.hackthebox.com 3️⃣ Leverage Free Learning Resources Not everything valuable comes with a price tag. Check these out: Microsoft Learn – Access free, Cybersecurity training w/ Microsoft 🔗 https://lnkd.in/gy_e3A_y Coursera Courses for Beginners 🔗 https://www.https://https://lnkd.in/gQyshCDA SANS Free Cyber Security Training 🔗 https://lnkd.in/gmyPYTEv 4️⃣ Tailor Your Job Applications Cybersecurity job descriptions can feel intimidating, but don’t let that stop you. 📣 Highlight transferable skills like problem-solving, communication, or experience with tools 📣Tailor your resume to the job posting and include hands-on projects from labs or certs. 📣Get Past the ATS: https://lnkd.in/g2_HnCFm 5️⃣ Network, Network, Network! The cybersecurity community is full of people who love to help beginners. 🎯 Join LinkedIn groups like Women in Cybersecurity or Cybersecurity Professionals 🎯Attend local meetups, webinars, and conferences 🎯Reach out to cybersecurity professionals for advice and insights 6️⃣Target Entry-Level Roles 🔗 Refer to my Entry-Level Jobs Post for inspiration https://shorturl.at/2kNcy 🗝️ Major Key: Lock In & Stay Focused This requires dedication and sacrifice. Lock in on your goals and understand that this journey might require long hours of studying and consistent effort. While I love Microsoft, remember that Microsoft isn’t the only great company out there. Explore opportunities w/ other amazing companies where you can get your first start and build your career. I’m rooting for you and your future success! Keep striving, keep learning, and most importantly, keep applying. 🚀 If you’re on this journey, share your progress below or tag someone who’s just getting started! #CyberSecurity #EntryLevelCyberJobs

If you’re aiming to break into the tech industry, especially cybersecurity, there’s one thing you absolutely need: hands-on experience. Here’s why it’s so critical and how you can get it without needing to jump to a new company. I always recommend starting by looking for shadowing or volunteer opportunities at your current company. Here’s why: 1. Discover What You Really Want: Shadowing can reveal whether a role is truly a fit for you. Sometimes, what seems appealing on paper might not align with your expectations after you’ve seen it up close. 2. Pivot Efficiently: Transitioning into a cybersecurity role is often smoother when you’re already at a company that knows you. By being upfront with your leadership about your passion for learning, you might even find that a new position is created just for you—this approach worked for me! One of the biggest perks? The expectation is already set that you’ll be learning on the job, which I call getting paid to learn. But for any of this to work, you need to demonstrate your commitment to learning before approaching your leadership. This could be as simple as attending online training or earning a certification. If you’re not sure where to start, Forage offers a great resource with job simulations that can give you a leg up in your career transition. You can explore their offerings here: https://lnkd.in/gwX-fxa4 Ultimately, success in cybersecurity requires action and dedication. If you found this advice helpful, please consider sharing it with someone who might benefit. #CyberSecurity #TechCareer #CareerTransition #HandsOnExperience #LearningByDoing

"I Have My Certification and Cyber Field of Interest—Now What?" Breaking into cybersecurity is a thrilling journey, but after earning your first certification and identifying your field of interest—whether it's penetration testing, SOC analysis, GRC, cloud security, or another exciting area—the next steps can feel daunting. Here's a roadmap to keep you moving forward: 1. Research Job Descriptions: Identify 10-20 job postings in your chosen field and analyze them. Look for trends in required skills, responsibilities, certifications, and educational requirements. This step gives you a clear picture of what employers are seeking. 2. Assess and Address Skill Gaps:  Compare the job requirements to your current resume. Are you missing any skills, certifications, or experience? If so, create a plan to bridge those gaps. This could involve hands-on labs, free training resources, or additional certifications. (I know, I know... more learning... it truly never ends. Yay!) 3. Network with Professionals:   Connect with people already working in your field of interest. Join LinkedIn groups, attend local cybersecurity meetups, or participate in webinars and conferences. Building relationships can open doors to mentorship and opportunities. (Yes it's true, cyber is the definition of "It's not what you know, but who you know." Unfortunately, us computer nerds have to talk to real human beings sometimes, what a shame.) 4. Tailor Your Resume:   Once you've sharpened your skills and gained relevant experience, update your resume to reflect your readiness for the roles you're targeting. Highlight your certifications, lab projects, and any relevant transferable skills. (A.K.A. "Word-smithing") 5. Apply with Confidence:   With your updated resume and network support, start applying for roles. Be persistent, stay positive, and keep learning along the way. (It might hundreds of applications before you hear back...I wish that number was exaggerated. Persistence is key!) Remember, cybersecurity is a vast and ever-evolving field. Your journey will be unique, but the key is to stay focused, adaptable, and proactive. You've got this!! #thelearningcontinues #Cybersecurity #CyberJobs #EntryLevelCyber

Q&A with Dr. Esona: Skip Entry-Level in Cybersecurity You’ve put in the years. You’ve led teams. You’ve managed operations, compliance, or risk. And now, you’re ready to pivot into cybersecurity. But the internet keeps telling you: "Start from scratch. Entry-level only. Analyst 1, maybe help desk first..." Let’s clear this up. 💡 You can go straight into a mid-level role in cybersecurity—if you reposition your experience and back it up with strategy. Today, I’m answering 5 of the most common questions I get from mid-career professionals ready to level up without starting over. 1. Can I go straight into a mid-level cyber role? ↳ Yes, but not with a junior-level mindset. ↳ Roles like GRC Analyst II, Privacy Program Manager, Risk & Controls Lead, or Vendor Risk Specialist are excellent landing spots. ↳ Focus less on “breaking in” and more on bridging your existing experience with cyber language. 2. How do I talk about my past roles in a way that lands interviews? ↳ Translate your outcomes: “I reduced onboarding risk by 30%” → “I designed and enforced process controls.” ↳ Use the STAR method to tell results-driven stories that match cyber job descriptions. ↳ Highlight your risk thinking, documentation, and cross-functional leadership—those are high-value in GRC. 3. What should I include in a project portfolio to make up for no direct experience? ↳ A fictional GRC audit with ISO 27001 controls ↳ A sample risk register with identified threats, impact levels, and remediation plans ↳ A policy and compliance checklist for a small business (real or imagined) You don’t need a job title to build proof—you need execution. 4. What are the best certs for a mid-career pivot? ↳ ISC2 Certified in Cybersecurity (foundation + credibility) ↳ ISO/IEC 27001 Lead Auditor (for audit alignment) ↳ OneTrust Privacy Tech Pro or CIPP/US (if targeting privacy/data roles) Certs give you language and structure. But projects give you leverage. 5. How do I convince recruiters I’m not just “starting out”? ↳ Update your resume to reflect cybersecurity-aligned outcomes from your past roles ↳ Include your portfolio URL on your resume and LinkedIn ↳ Speak confidently about governance, frameworks, and impact—not just your titles You’re not new to leadership. You’re just new to this language. 📩 Got a question about pivoting into cybersecurity without losing your momentum? Drop it in the comments or DM me—we might feature it in a future Q&A. Ready to skip the “entry-level” trap and aim higher? Book a 1:1 session and let’s build your mid-career cyber strategy together. 🔔 Follow for more cyber career insights! ♻️ Repost if this was helpful or tag someone who's ready to level up in cyber!

How to Create Personal AI Road Map: Overcome Fear of #AI So many people have been worried that AI will take their jobs or wipe out their professions. Since AI became so popular, in leading sessions with teams & employability sessions with university students and job seekers, I always say that AI will not replace anyone; it is people who know how to use AI that will replace people who are ignorant. While speaking with someone a few days ago, I said the best way out for you is to create a personal AI roadmap. If you run a business, create an AI roadmap for your business. The truth is anyone or any business not doing this will be left behind. AI is already and will continue to be a major driver. Being passive about it will lead to chaos in a few weeks, months, and years. I told someone, do not be worried about AI; develop foresight and proactive actions about AI. Worry will not change anything, but learning, unlearning, and relearning will change so much and position you for better success. Here is a personal AI sample road map I suggest for you reading this; Step 1: Understand AI Basics Learn the Fundamentals: Start with online courses, articles, and videos to understand what AI is and how it works.  Key Concepts: Focus on basic concepts like machine learning, neural networks, and data science. Step 2: Identify Relevant AI Tools Research AI Tools: Identify AI tools and applications relevant to your field. For example, marketers can explore tools like chatbots and predictive analytics, while designers might look into AI-driven design software. Stay Updated: Follow AI news and updates through tech blogs, newsletters, and podcasts. Step 3: Develop Practical Skills Hands-On Practice: Engage with practical AI applications.  Projects and Challenges: Participate in AI projects or challenges on websites like GitHub or competitions on Kaggle to build real-world experience. Step 4: Integrate AI into Your Work Apply AI Solutions: Start integrating AI tools into your daily work. For instance, use AI for automating repetitive tasks, improving customer service, or analyzing data trends. Experiment and Adapt: Test different AI tools and methods, and adapt them to fit your needs and enhance productivity. Step 5: Continuous Learning and Networking Join AI Communities: Become part of AI communities and forums like LinkedIn groups. Networking with professionals can provide insights and opportunities. Ongoing Education: Regularly update your knowledge with advanced courses and certifications. Attend webinars, workshops, and conferences to stay informed about the latest AI advancements. Having the right foundation in AI will not happen overnight. Follow the above roadmap, and give yourself time. Now, get to work.   Any questions for me? Blessings Dr. Joybert Javnyuy #Innovation #Future #Entrepreneurship #Careers #Startups #India #20daylinkedinchallengewithhaoma #linkedinacceleratorwithlynn