How can you boost your AI skills online?

In my experience, online courses from universities like Stanford that are free and available on youtube are enough. To better understand subjects, there are some mini projects that are available on GitHub that you can implement yourself. Although I suggest you join a community to ask your questions and get help on mini projects.

Don't enroll in a course just for the sake of adding the certificate to your profile. There are many courses that you can fly through quickly, but if you don't combine your learnings with real-life application, your new knowledge may not stick for long...

Based on one's expertise level, suitable courses can be selected. Beginners can commence their journey with "AI for Everyone," on Coursers which provides a comprehensive overview of the AI domain. Subsequently, deepening their grasp of AI can be achieved through advanced programming projects involving the implementation of tasks using PyTorch and TensorFlow libraries. Furthermore, enrolling in courses that involve individual projects offers valuable insights into the challenges encountered during the development of AI projects.

There are several reputable online courses that you can take online. Yoy should also consider workshops and masterclasses these tend to be shorter but they are usually fully packed with value as they are often delivered by AI experts with a lot of experience in practice.

Practical experience is invaluable in learning AI. Define your learning objectives and understand the benefits of online learning. Given that learning from peers and in an analytical environment will boost your cognitive engagement - a good place to start is online interactive hands-on projects: participate in open-source AI projects or work on your own project in a guided and collective learning environment.

If you have a premium LinkedIn account, take advantage of the courses on LinkedIn Learning. They are included with your subscription. Available courses include everything from high level overviews to entire learning paths on Machine Learning.

How can you boost your AI skills online? AI skills and techniques are constantly evolving. Therefore, so must your knowledge. Keep up to date by following AI news and blogs, and join a LinkedIn AI community to stay informed of the latest thinking and methods. Attend online conferences. Follow and engage with AI experts' social media content. Watch online videos, podcasts and webinars. Subscribe to vendor AI news alerts, releases, and advisories. Lastly, share your newfound knowledge so that everyone can benefit.

Since Artificial Intelligence is a relatively new and versatile subject, you may find fewer resources compared to many other fields. On the other hand, new resources are continually being added every day. There are numerous paid and free options, both certified and uncertified. However, the crucial aspect is to concentrate on your personal learning journey and thoroughly evaluate the courses you plan to take before enrolling. Ensure that they align with your learning objectives; otherwise, you may easily become overwhelmed by irrelevant material that won't be beneficial to your goals.

Embark on side projects if your main jobs do not give you opportunities to build hands-on skills on AI. Leverage Generative AI tools such as ChatGPT or Claude 2 or Github copilot to assist you in coding as these tools can write the first draft of codes pretty well.

Practice is always a crucial part of development, especially when it comes to Artificial Intelligence. Personally, I follow two approaches to practice. First, I apply the concepts I've learned in their simplest form. Second, I implement them in real-life examples and applications. This approach allows me to not only accumulate a collection of experiments but also build a code archive where I have applied the fundamental concepts. This archive serves as a valuable resource that I can revisit and examine whenever necessary.

Joining online learning communities within your specific industry can be a game-changer for boosting your AI skills. Engaging with like-minded learners allows you to tap into a wealth of collective knowledge and best practices tailored to your field. These communities can be particularly helpful for individuals who may initially feel insecure about diving into AI learning, providing feelings of psychological safety, inside a supportive space to connect with peers facing similar challenges. Embrace the opportunity to learn from others, share experiences, and foster a sense of camaraderie on your AI learning journey

I agree and also follow key thought leaders in and out of your sector. For example I have found following certain individuals who are experts on data science beneficial for my work in education and digital learning. They often bring different perspectives and insights too.

Online communities are great because you can be part of collective exploration and collaboration. When we discuss topics with peers, we are often required to explain concepts or clarify our thoughts. This process of articulating our ideas will lead to a far deeper understanding of the subject matter. Participate, Ask, Remain Curious, and Empower Yourself!

LinkedIn itself also have numerous AI,ML and Data groups that encourage active participation and questioning. These groups are great to find out about upcoming webinars. You can also use the LinkedIn search and query AI webinars. With the publicly accessible narrative around generative AI - there are many to join and learn from!

Right now, I believe that joining online communities focused on Artificial Intelligence, can be one of the best decisions for individuals looking to enhance their skills in this field. While keeping up with innovations, taking courses, training, and experimenting are all valuable, none of them can offer the level of growth and support that a dedicated community centred around a specific subject can provide.

You can also use the LinkedIn search and query AI webinars. With the publicly accessible narrative around generative AI - there are many to join and learn from. Another resource is specific company LinkedIn pages or websites. If you are interested in a particular component of AI i.e. multimodal models - look for companies specialising and attend their events!

To enhance your AI skills subscribe to AI-focused news outlets and newsletters, like AI enthusiasts Geoffrey Hinton, Elon Musk, and Jürgen Schmidhuber. Follow them on social media for insights. Dive into research papers on platforms like Google Scholar and arXiv for the latest advancements. Enroll in AI courses on platforms like Coursera, edX and Udemy. Listen to AI podcasts like the "TWIML AI Podcast" and engage in AI forums. Stay informed about research from influential AI institutions like OpenAI and DeepMind by reading their reports. Lastly, attend AI webinars for invaluable insights.

Before focusing on the latest trends, make sure you have solid foundations. Trends change so quickly that it's impossible to follow them all. But if you understand the underlying logic of things, you'll be able to pick things up much faster.

Artificial Intelligence is undeniably one of the fastest-growing industries, and to establish a foothold within it and gain knowledge about it as an integral part of the software realm, continuous learning and staying up-to-date are certain necessities.

Boosting AI skills starts with clear learning goals. Are you switching to an AI career or simply want to stay up-to-date with AI in your current role? Tailor resources to your learning goals: For e.g., if you are a software engineer transitioning to AI engineering, comprehensive, hands-on courses will help you build the technical skills and fundamentals. Or if you’re in marketing or law, and want to be prepared with how AI is transforming your work, find continual learning opportunities through newsletters, YouTube channels, or podcasts. A common problem I hear is that there are too many resources out there, and it’s hard to identify the right ones for you. So, begin with the end in mind to help you stay focused and learn efficiently.

Generative AI has democratized many skills to desk users. For many use cases such as writing articles/ slides, creating videos or images , or summarizing long documents, you do not need technical skills of data scientists . So start with those no-code tools to understand how to use these tools safely for your everyday tasks is a good first step to stay updated to all happenings in AI these days. Many of these no-code AI tools for desk users could help you boost productivity tremendously and prepare you with necessary skills and knowledge for the upcoming shift of workforce skills.

With AI skills forecast to be the most highly-demanded skills of the next decade you need to take your productivity, employability, and business to the next level by dedicating time to learning AI. AI tools and techniques are constantly evolving. Therefore, so must your knowledge. How? Keep up to date by following AI news and blogs, and join an AI community to stay informed of the latest tips, tools and techniques. Attend online conferences. Follow and engage with experts' social media content. Watch online videos, podcasts and webinars. Subscribe to vendor vulnerability alerts, releases, and advisories. Lastly, share your newfound AI knowledge so that everyone can benefit.

To boost your AI skills fast, focus on your personal interests/skills first and build from there. AI has become a vast subject with many exciting opportunities to explore. The path may be difficult to choose or navigate due to its complexity leading to possible learning overload. Solve this problem easily by focusing on your likes, interests, and skills first. What excites you about AI? What would you be good at? (ie Coding, engineering, planning). Create a learning path that leads to increasingly difficult and in-depth subjects. Begin with simple tasks and gradually expand your knowledge. This method allows you to learn quickly while having fun.

In my opinion 1. Choose online courses that provide an understanding of the basic concepts. Platforms like Coursera, edX, and Udacity offer a range of AI courses. 2. Engage in hands-on projects that apply theoretical knowledge to real-world problems. Platforms like Kaggle and GitHub offer a plethora of datasets and projects. 3. Actively participate in online AI forums and communities such as Reddit's r/ML, Stack Overflow, and GitHub. 4. Familiarise yourself with AI tools and frameworks like TensorFlow, PyTorch, and Keras. 5. Document your AI learning journey by creating a personal portfolio showcasing your projects, research, and contributions. 6. Connect with AI mentors who can provide guidance, advice, and constructive feedback!!!

Two things to consider. First, seek out opportunities that emphasize full lifecycle skill development. That means something that goes beyond great content. It should include meaningful opportunities to apply and experiment in a community of people where you’ll get feedback and coaching along the way. While these opportunities will be a larger time commitment, they’ll result in more sustainable and measurable growth. Also, especially with technical skills, find opportunities that balance the interpersonal aspects of the skill. Even the most technical skills require working together with others. This is especially important since the half-life of hard skills is diminishing where interpersonal skills are more durable.

Since AI can be applied to any domain and any field to improve aspect of it, it means you do not have to give up on something to switch to AI. Say you are a banker or auditor, first identify what are the pain points you go through on a daily basis and list them down. Ask yourself these questions: 1) can this be automated, 2) does this always need high levels of accuracy, 3) is it a time-consuming task when done manually, 4) how would you teach this task to a new employee or student? These will reveal some insights about your current situation. Now you look at other examples of how others have applied AI/ML/DL techniques to similar problems by attending conferences, reading papers, and talking to experts. Try to apply and experiment.

Always remember to have fun! If you're genuinely interested in learning artificial intelligence or planning to specialize in it, I highly recommend delving into this subject. However, if like many emerging technologies, you view it solely as a land of opportunities or a potential goldmine, diving into this field can be exhausting and potentially a misguided decision.

Talk to common people understand real world challenges we can unearth lots of possibilities AI for common purpose will drive economy not just industries