What do you do if you want to use your existing experience to excel in Artificial Intelligence (AI)?

Some of the most important skills lacking in AI today relate to business analysis, strategic planning, user experience design and continuous improvement. People think AI is all about technology and data science. While technical skills are of course important, many technology companies are abstracting technicalities into low code platforms. It will become more important to focus on applying AI in the right use case that’s aligned to your wider strategy, that helps you solve a real business problem in a way that improves services for users.

Domain Expertise Person This is your hidden superpower! Examine your industry experience for deep knowledge of specific business problems or processes that could be solved or enhanced with AI.

Any prior skills in technology can easily be transferable to AI. It's just a matter of understanding what you're currently good at. Most AI courses, only require basic Python knowledge. If you're already good at python, and using frameworks for python, than it's all you need to start your learning path in AI.

AI is a broad field with various specializations. Consider specializing in a niche that aligns with your interests and expertise. This could include computer vision, natural language processing, reinforcement learning, or AI for specific industries.

Familiarize yourself with the fundamental concepts of AI, including machine learning, deep learning, neural networks, natural language processing, and computer vision. There are numerous online courses, tutorials, and books available to help you understand these concepts.

Building a strong foundation in AI fundamentals is crucial for success in the field. This includes understanding machine learning algorithms, neural networks, data preprocessing techniques, and optimization methods. Learn from online courses, and tutorials to gain theoretical knowledge. You can Enroll in reputable online platforms like Coursera, Udacity, or edX offering AI courses taught by industry experts. For instance, completing Andrew Ng's Machine Learning course provides a solid theoretical understanding while implementing projects reinforces practical skills.

OJT or “On the Job Training” is the best way to learn And preferably in an apprentice environment The best way is to find these opportunities is to find people working on AI project NOW And reach out to them on LinkedIn And see if you can get a Gig internship (ie a part time internship while you are in school or still working at job) Even if the internship is unpaid The experience working with others in this new AI + Knowledge age early Priceless!

Hands-on involvement is highly beneficial in AI. Look for opportunities to utilize your expertise in real-life situations or simulated environments. Get involved in open-source AI projects, participate in hackathons, or incorporate elementary AI solutions into your current position.

Connect with professionals in the AI field through online forums, social media, and local meetups. Networking can provide valuable insights, opportunities for collaboration, and potential job leads.

Networking plays a pivotal role in career advancement. Connect with professionals in the AI community through conferences, meetups, and online forums. Engage in knowledge-sharing, seek mentorship, and explore potential collaboration opportunities. Attend AI conferences such as NeurIPS, CVPR, or AAAI to network with researchers and practitioners. Additionally, leverage LinkedIn to join AI-focused groups and engage in discussions, showcasing your expertise through insightful contributions.

Estudié Ciencias del Mar por lo que la #inteligenciaartificial no es mi campo. He aprendido de forma autodidacta y sobre todo, siguiendo a las personas adecuadas en Linkedin. He intentado que mi especialización sea la de aterrizar conceptos complejos en el día a día de las empresas de mi entorno. Peque?as y medianas empresas que pueden mejorar su eficiencia y procesos pero que no tienen departamentos especializados...ese es mi nicho

Identify areas within AI where you can specialize based on your interests and existing experience. This could be in areas such as computer vision, natural language processing, robotics, healthcare, finance, or cybersecurity.

AI + Knowledge age is JUST starting to ACCELERATE CHANGE is expected and will happen RAPIDLY Have a vision and purpose that you are PASSIONATE about for how you want to use AI + Knowledge to THRIVE in your work and life FIND your tribe and coaches/mentors and START to learn and build FRAMEWORKS and scaffoldings to bridge you into this NEW emerging world And keep taking those tiny STEPS to LEARN and grow EVERYDAY

I’ve started to write a weekly newsletter on AI for creatives. The weekly research helps me stay up to date with what is relevant by teaching others. Writing for Designer Resouces Dot AI forces me to spend time discovering what is happening on the bleeding edge of the Design industry and it’s fascinating

AI is a rapidly evolving field, so it's essential to stay curious and keep learning. Stay updated on the latest research papers, tools, and techniques by reading blogs, attending conferences, and participating in online communities.

AI is unknown. Best way to learn something unknown is to tie it to something you do know. Analyze your existing creative process. Your skills and experiences. Which of these can be supported with AI? Start with the ones you don't like to do, the ones that take a lot of time and money. AI is good at creating fast and creating a lot. See what AI CAN do in your existing process. Pay attention to what it can't do. Be open to see what it does that you didn't think about before. Through this process you will learn how AI fits into what you're already doing and you will find new possibilities that are only possible with AI. Be curious, open and explore.

Embrace Hybridity Seek roles that leverage both your domain knowledge AND your growing AI expertise for a unique advantage. Ensure you update your portfolio to highlight projects that blend your domain expertise with your AI skills.