What are the best ways to learn and update your digital skills in the age of AI?

Assess your skillscape: Evaluate strengths and weaknesses. Use tools like SkillScan or Coursera and seek mentor feedback for growth areas. Explore diverse learning: Choose from courses, bootcamps, podcasts, or books. Mix formats to suit your style and relish the learning process. Seek credible sources: Trust platforms like edX, LinkedIn Learning, or expert blogs/podcasts. Become a savvy digital detective, filtering reliable information. Practice and apply: Use platforms like Kaggle or GitHub for real projects. Engage in communities like Stack Overflow for feedback and collaborative learning.

Learn, Adapt, Excel! 📘🚀 I'd approach updating digital skills in the AI era as an engineer continuously improves a system. Assess your current skills, identifying gaps like diagnosing system vulnerabilities. Choose the right learning format, matching personal learning styles to educational methods. Find credible sources, akin to selecting reliable components for a project. Practice and apply your skills, similar to testing and refining a prototype. Keep track of progress, monitoring advancements like system upgrades. Stay curious and adaptable, embracing new technologies and methodologies for sustained growth and innovation.

Continuity. Integrate the new technologies into your everyday life, into your work process and into your daily doing. It doesn't matter how much, just the fact that you do it continuously. Do you need graphics? Use an AI before you hire a graphic designer. You need a PR text? Before you hire a copywriter, use an AI. Find out about useful and good tools in your industry and use them. They have a lot of potential. I have written several articles on this and have always received positive feedback.

Enroll in online courses (Coursera, edX, Udacity). Pursue certifications (Google, Microsoft, IBM). Follow AI and tech blogs for trends and breakthroughs. Join online communities to learn from professionals. Participate in AI hackathons for practical experience. Contribute to open source AI projects. Listen to AI podcasts and attend webinars. Attend AI conferences to network and learn. Work on practical projects for hands-on experience. Watch AI documentaries and tutorials. Seek mentorship from experienced professionals. Utilize continuous learning platforms (LinkedIn Learning, Skillshare, Pluralsight). Stay curious, practice consistently, and adapt to the evolving AI landscape.

Combination of personal experience, practical knowledge and experimental activities can play major role to update digital skills. Exploration, adaptation of new tools and platforms can make competitive and up to date of AI generation.

Reading is the conventional mode of learning and probably the best! 👉 Try to harness the power of books , podcasts and online learning platforms. 👉 Find out the mode that suits you best! 👉 You can go for the instructor led /free online sessions . Motive should be enjoy the learning journey .

Continuous learning and updating your skills. I see different ways to do it: -Online learning platforms and courses like Coursera, edX, or LinkedIn Learning -Or getting trainings and certifications -Reading articles and books or research papers on the subjects -Subscribing to newsletters on the topic -Participating in webinars, workshops, and industry conferences - Practical application of knowledge through personal projects for example. Lastly, as the field evolves rapidly, staying curious and adopting a growth mindset is key to thriving in the dynamic landscape of digital innovation and AI.

When it comes to selecting the right learning format, diversity is key. Online courses, bootcamps, podcasts, and books all offer unique advantages. Tailor your choices to fit your learning style and schedule, mixing and matching as needed. Remember, practical application is crucial; it transforms theoretical knowledge into tangible skills. Embrace a variety of learning formats to ensure a comprehensive and engaging learning journey.

The digital learning landscape is vast, and there's a trail for every kind of explorer. Whether it's the autonomy of online courses, the intensity of bootcamps, or the casual vibe of podcasts and books, there's a fit for every style and schedule. It's not just about picking a path but tailoring it. Maybe it's the freedom of self-paced learning or the structure of instructor-led sessions that suits you. And hey, mixing it up can keep the journey fresh. It's all about crafting a learning adventure that's as unique as your digital ambitions.

Beim Erlernen neuer digitaler Fähigkeiten ist es oft am effektivsten, sich direkt in die Praxis zu stürzen. Eigene Erfahrungen beim Anwenden neuer Techniken sind unersetzlich und bieten wertvolle Einblicke. Obwohl es hilfreich sein kann, ergänzende Inhalte wie Bücher, Videos oder Selbstlernkurse zu nutzen, glaube ich fest daran, dass das eigentliche Lernen durch aktives Tun erfolgt. Sich in neue Themen einzuarbeiten erfordert Einsatz und lässt sich nicht durch passive Lernmethoden ersetzen. Dieser Ansatz fördert nicht nur das tiefe Verständnis, sondern auch die Fähigkeit, Wissen praktisch anzuwenden und zu verinnerlichen.

In the digital realm, there's no shortage of knowledge, but the trick is separating the wheat from the chaff. With a topic as dynamic as AI, it's crucial to tap into sources that are not just informative but credible. Platforms like edX or Udemy are like beacons in the fog, guiding learners to solid ground with courses backed by top-notch institutions. And for the latest buzz, blogs and podcasts from the gurus in the field can be goldmines. It's all about being a savvy digital detective, picking out the nuggets of wisdom in an ever-expanding sea of information.

I recommend turning your attention to edX. This platform offers courses from leading institutions in AI, including Harvard, MIT, and Microsoft, allowing you to gain practical skills and knowledge in artificial intelligence and machine learning.

In the digital age, the abundance of information can be overwhelming. Seek out reliable platforms like edX, Udemy, and LinkedIn Learning for courses endorsed by industry leaders. Additionally, leverage the power of curated YouTube channels and podcasts hosted by subject matter experts. The key is not just consuming information but critically evaluating and applying it to real-world scenarios to stay ahead in the rapidly evolving tech landscape.

In the rapidly evolving landscape of AI, selecting credible sources is crucial for staying ahead. As an AI Automation expert, I recommend leveraging platforms like edX and LinkedIn Learning for structured learning, while also tapping into industry-specific AI blogs and podcasts for real-time insights. This dual approach not only enhances your knowledge base but also equips you with practical skills to optimise AI-driven sales and lead generation strategies, ultimately boosting your business's efficiency and profitability.

Practicing and sharing insights are essential for achieving mastery. I embrace this approach by sharing my knowledge with the community and welcoming feedback. (what I am doing here) This approach enables me to break down learned skills and incorporate them into my own understanding. Put your learning into practice and regularly reflect on what works and what doesn't. Sharing your reflections and insights with the community is invaluable. I'm eager to learn from the wisdom gained through your own practice and reflection. Let's hang out together here.

Getting hands-on can be critical for many of us to learn vs. reading or taking a slightly interactive training course. As you become a more senior leader, staying hands-on can be challenging for many reasons. Finding training and tools that provide hands-on exercises can truly make the difference in obtaining knowledge. And of course, the more you understand the better your input and insights are to your team and customers.

Experiment! Practicing - and failing - is one of the fastest ways to learn, especially with technology. You may not know everything up front, but once you start you will get a much more clear idea pf what you are missing and need to focus more on.

To effectively reinforce and retain the digital skills you learn, consider creating real-world use cases. Putting what you've learned into practice by working through real-world scenarios or specific projects will not only help you understand the concepts better, but also help you memorize them. Additionally, sharing and discussing your learning with others, whether in person or in online forums, can enrich your understanding and provide valuable feedback. In short, actively practicing and talking about your knowledge are key steps to sustainably mastering digital skills.

Let's discuss what to track, how to track, and how to leverage the tracked record for further improvement. What to Track: 1. Your learning objectives with a clear link to your career aspirations. 2. Specific skills relevant to your objectives, ensuring they contribute directly to your goals. 3. Activity Log and time spent on each activity How to Track: Do NOT track them in your head! Log them down -- digitally or in writing. This act of recording solidifies commitment and aids in reflection. Review your logs every few weeks and ask yourself, 1. Does my learning path still meet my career goal? 2. Did my skills improve? If not, look at the activity log and ask yourself if you chose the right activities and invested enough time in them.

Here are some points: 1. Set specific goals with deadlines. *don't forget to use the tools like Notion, ClickUp or a simple spreadsheet to track completed courses and skills acquired 2. Review your progress regularly, check if there's the progress. and adjust your learning plan as needed. 3. The great point is to note the key milestones, which can also help you visualise your growth. It has an influence on your motivation and see where the breakpoint you stopped learning, what effected on that, what should you do to proceed learning regularly.

In the age of AI, the best ways to learn and update your digital skills include: ✅Stay Curious and Adaptable: Embrace lifelong learning by exploring new technologies, tools, and trends. Attend webinars, workshops, and online courses from platforms like Coursera, Udacity, and LinkedIn Learning. ✅Engage in Communities: Join professional networks and online forums. Engage in discussions on platforms like GitHub, Stack Overflow, and LinkedIn to exchange knowledge and stay updated. ✅Practical Application: Work on projects, contribute to open-source, and experiment with AI tools. Hands-on experience solidifies learning. ✅Mentorship and Collaboration: Seek mentors and collaborate with peers to gain diverse insights and feedback.

The best way to stay curious and adaptable is to have a personal project on something that you are passionate about. This way, every new advance will immediately and effortlessly have you thinking about different ways that can be applied. You will inevitably follow the technology to be the first one to test things out.

With the catalyzing force of open-sourced collaborations and supercomputers, in navigating this dynamic terrain, more than just curiosity and adaptability, we need to wholeheartedly embrace creativity. Creativity, at its core, embodies an innate curiosity and adaptability. It thrives on a willingness to experiment and tinker, to innovate rather than mere react. Beyond its traditional association with design, creativity is a fundamental way of thinking – a precursor to design thinking. It involves probing the value of things and the dynamic nature of change. An ability to "think differently", becomes paramount for shedding old habits and fixed perspectives, enabling us to embrace new habits and paradigms, from the metaverse to AI.

Pour rester en tête dans le paysage numérique dynamique d'aujourd'hui, cultiver la curiosité et l'adaptabilité est essentiel. Notre capacité à explorer de nouvelles idées et à nous adapter rapidement aux avancées de l'IA définit notre succès dans un monde en constante évolution. En restant curieux, nous stimulons l'innovation et découvrons de nouvelles façons de tirer parti de la technologie émergente. Notre adaptabilité nous permet de transformer ces idées en actions concrètes, garantissant que nos compétences numériques évoluent en même temps que les exigences du marché.

Practice your skills by working on hands-on projects. Online is great, irrelevant of you needs, i would start with your area of interest and going to youtube and see what is happening within this space and moving from there to short courses and starting with small projects and gradually increase the complexity as you gain more experience. Building a portfolio of projects or directly applying it your needs so that you can see the benefits of your learning. Podcasts are also a great way of learning what is happening and can be a non active way of staying curious.

- Simplify the learnings and share them in a context with your team or audience - Go from theory to practice with real-life use cases

Advertise your new skills! Share what you learned, share your personal projects, share your challenges, share your point of view. That's the best way for people to know about your interests. Just be careful - you may end up making new friends or even landing an exciting new job!

Firstly, understand what AI is in the eyes of the popular audience these days. Then evaluate your "digital" skills = computer skills; they call it digital because so far the most of computers are based upon 'binary' based (0 and 1) data processing. Since these are 'digits', so the computer based knowledge is called "digital" skills. So, depending upon which business function or industry you are, evaluate your computer skills and study the AI popular narratives accordingly for you to use wisely and wildly as you need.