What do you do if your AI continuing education journey is filled with challenges?

Connaitre son VAKOQ est clé pour garantir un apprentissage simple et efficace. Pour cela je vous conseille deux temps : 1. Une auto-évaluation : prenez le temps de comprendre si vous apprenez mieux visuellement, auditivement, en lisant/écrivant, ou par l'expérience pratique. 2. Choisir les ressources adaptées : cherchez des ressources d'apprentissage qui correspondent à votre style, comme des vidéos pour les apprenants visuels ou des podcasts pour ceux qui préfèrent l'audio.

In navigating the AI's complexities, understanding one's own learning style emerges as the cornerstone of growth. It's not just about the accumulation of knowledge but about resonating with the essence of information. As an AI/ML Consultant, I've found that understanding AI is woven with threads of personal insights, intuitive grasps, and experiential learning. The journey is akin to sculpting – where each learner chisels away at the vast marble of AI knowledge with tools unique to their cognitive blueprint. This personalized approach not only accelerates comprehension but also deepens the connection with the material, making every challenge a stepping stone rather than a stumbling block.

Stay resilient in your AI learning journey by joining online forums, attending webinars, and participating in online courses. Seek guidance from experienced professionals, collaborate on projects, and don't hesitate to ask questions. Remember, overcoming challenges is part of the learning process, and each hurdle you conquer brings you closer to success.

Identificar seu estilo de aprendizagem é fundamental na jornada de educa??o em inteligência artificial. Cada pessoa tem uma forma preferencial de assimilar novos conhecimentos, seja visual, auditiva, cinestésica ou uma combina??o delas. Compreender seu estilo de aprendizagem auxilia na escolha dos recursos, métodos e ferramentas mais adequados para sua forma??o em IA. Por exemplo, aprendizes visuais podem se beneficiar de vídeos, diagramas e gráficos. Aqueles com perfil auditivo podem preferir podcasts, palestras e debates. Já os cinestésicos podem se inclinar por projetos práticos, experimentos e simula??es

To organize your learning based on past successes, analyze what worked before, assess its current effectiveness, adapt by combining multiple learning styles, set clear goals, organize your schedule, use diverse resources, and regularly review and adjust your strategies.

As I’ve been deeply immersed in learning and working with generative AI over the past 18 months, I’ve realized the importance of approaching the process with curiosity and humility. We are all newbies and it’s essential to keep an open mind. One of the most rewarding parts of this journey has been cultivating a close-knit group of friends who share my passion. We meet once a week virtually to share our progress, work through challenges, celebrate each other's "aha!" moments and inspire each other. To keep the inspiration flowing, we have a lively group chat where we share the latest news, articles, resources and tools. Having this incredible support system has been a lifeline in navigating these uncharted waters.

To find your learning community, identify your interests, search for relevant groups online, attend workshops and conferences, join professional organizations, participate in local community groups, enroll in courses or training programs, engage on online learning platforms, and actively network to connect with like-minded individuals.

Descobrir sua comunidade de aprendizado é essencial ao estudar inteligência artificial, especialmente em ambientes online ou autodidatas que podem ser solitários. é crucial conectar-se com outros aprendizes, mentores, especialistas e colegas que compartilham seus interesses, objetivos e desafios. Participe de fóruns, grupos, cursos e eventos online relacionados à IA para interagir em discuss?es, receber feedback, colaborar e estabelecer contatos. Além disso, procure encontros locais, workshops ou clubes para intera??es presenciais e troca de experiências

Find Your Learning Community: Connect with fellow learners, mentors, and professionals in the field. Join online forums, attend meetups, and participate in AI-related events. Collaborate and learn from others’ experiences. Building a supportive network is essential. Engage with like-minded individuals, share insights, and seek guidance. Together, we learn and grow!

AI's hype is relatively new, but AI itself is not that recent, which means there are individuals with extensive experience from whom you can learn. While surfing the web, you can easily get in touch with communities where you can learn a lot from experts. If you are building the fundamentals of your knowledge, you may want to join communities built around university or online courses, joining former students and professors. ? If you are already a professional working in a certain industry, you may want to look for places where AI is discussed in its practical applications specifically built for a field (e.g. healthcare or engineering). In any case, looking for the right community can be a highly rewarding activity for your learning!

1. Start with a dream/vision that AI can do for you/humanity. This will help you stay motivated throughout your learning journey. 2. Write down the rough milestones required leading up to it -- This is the map you'd use to navigate and help avoid distractions as you sail through the ocean of knowledge. 3. Share your upcoming milestone with your learning community and get accountability partner(s), use them to clearly define timeline, process and outcomes of this goal. And get started!

To set your learning goals, define your long-term vision, break it into specific, measurable objectives, prioritize them, create an action plan, regularly monitor progress, seek feedback, and stay flexible to adjust your goals as needed.

Estabelecer metas de aprendizado é fundamental ao embarcar no estudo da inteligência artificial, evitando sentimentos de sobrecarga e confus?o. Defina claramente o que deseja aprender, os motivos que o impulsionam e como avaliará seu progresso. Utilize o método SMART para tornar suas metas específicas, mensuráveis, alcan?áveis, relevantes e temporais. Dividir os objetivos em etapas menores e gerenciáveis permite um acompanhamento mais eficaz das conquistas e desafios ao longo do caminho

Establishing clear learning goals is pivotal in navigating challenges during your AI education journey. Define what you want to learn, why it's important, and how you'll gauge your progress. Employ the SMART framework to ensure your goals are Specific, Measurable, Achievable, Relevant, and Time-bound. Break down larger objectives into smaller, manageable steps for clarity and track progress systematically. This approach provides direction, clarity, and motivation, helping you overcome confusion and overwhelm while advancing steadily toward mastery in AI.

Set Your Learning Goals: Define clear objectives. What do you want to achieve in your AI education? Break down your goals into smaller, manageable tasks. Monitor your progress and adjust as needed. Setting specific learning goals provides direction and motivation. Whether it’s mastering a specific algorithm, building a project, or understanding a theoretical concept, articulate your goals and take deliberate steps toward them. Remember, progress is a journey, not just a destination!

To manage your learning time effectively, prioritize tasks, create a structured schedule, set time limits, use planning tools, break down large tasks, minimize distractions, incorporate breaks, and regularly review and adjust your schedule for optimal productivity and progress.

Manage Your Learning Time: Create a schedule that balances learning, work, and personal life. Allocate time for focused study, practice, and review. Avoid procrastination—consistency is key. Effective time management is essential for successful learning. Prioritize your AI education, set aside dedicated blocks of time, and stay disciplined. Remember, every minute invested in learning brings you closer to mastery!

Hands on experience is essential to learning how to best use generative AI. That's the only way to unlock its power for your specific role, function, workflow or projects. Because, each of us will use these tools very differently based on our use cases, needs and preferences. After learning the foundational basics on prompting, it will take you about 10-12 hours to get in the flow of using these tools. And here’s the best part: You don’t need to be a scientist, an engineer, or even a techie to use these tools. If you can speak or write – basically if you can communicate - you have all you need to use these tools effectively.

This field is so new!! The highest leverage activity you can do to learn AI is to actually use AI. Play with ChatGPT and other tools. Set a goal and do some actual rigorous prompt engineering to figure out what works and what doesn't. Benchmark different models. If you don't know how to code, use some no-code AI platforms to try and make your first agent. In this fast moving world of AI, the best thing you can do is just get your hands dirty. And don't forget - these LLMs are actually fantastic teachers in and of themselves. Use ChatGPT to learn more about ChatGPT! You'll find them to be the best teachers.

To apply your learning skills effectively, identify practical applications, undertake relevant projects, reflect on your experiences, seek feedback, integrate skills into daily life, be ready to adapt, collaborate with others, and continuously pursue new knowledge to reinforce and expand your abilities.

I have personally followed the hands-on approach and worked very well for me and other mentees. I recommend, anyone watching a tutorial or reading something, to immediately apply on another project or just simply follow along. Applying what you learnt will augment your learning process by keeping you focussed, engaged and enhances your ability to retain the knowledge effectively in various contexts AI landscape has changed so much in the last few years and will continue to change even faster. So, upskilling will help you to keep up with current and future trends. Continuous learning is a trait, that is extremely important and valuable. I look for similar traits in people during the hiring process as well.

Be Flexible: Adaptability is key. Be open to learning new skills and shifting focus if necessary. Explore adjacent fields like data science, natural language processing, or computer vision. In the ever-evolving landscape of AI, rigidity can hinder growth. Embrace change, pivot when needed, and remain curious. Remember, flexibility is the bridge between stagnation and innovation!

Embrace Your Learning Mindset: Stay curious and open-minded. AI evolves rapidly; be ready to adapt. View challenges as opportunities for growth. Persist even when faced with setbacks. In your journey, cultivate a mindset that thrives on curiosity, resilience, and a hunger for knowledge. Treat each obstacle as a stepping stone toward mastery. Remember, the most profound learning often occurs during the struggle.

En cualquiera sea nuestro plano de desarrollo personal, cultivar una mentalidad de crecimiento y aprendizaje es fundamental. Abraza los retos como oportunidades de crecimiento y no te desanimes por los obstáculos. Mantén una actitud humilde, reconociendo que el campo de la IA está en constante evolución y siempre habrá más por aprender. Cultiva la curiosidad y el pensamiento crítico, cuestiona lo que das por sentado y busca nuevas perspectivas. Rodéate de una comunidad de pares que te inspire y motive a seguir adelante. Con una mentalidad abierta y dispuesta al aprendizaje, superarás los desafíos y enriquecerás tu expertise en Inteligencia Artificial.

When facing challenges in my AI continuing education journey, I delve deeper into various aspects beyond the immediate hurdles. Firstly, I reassess my learning approach, exploring different resources, and methodologies to find what resonates best with my learning style. Additionally, I seek support from peers, mentors, or online communities, leveraging their expertise and experiences to navigate obstacles effectively. Furthermore, I stay adaptable and open-minded, embracing challenges as opportunities for growth and refinement. By considering these factors holistically, I empower myself to overcome challenges and continue progressing on my AI education journey.

Tasks to do: 1. Find out difficulties during learning AI. 2. Get help from mentors, peers, or professionals. 3. Make a plan to overcome challenges and keep motivated. 4. Use more resources or different ways to learn better. 5. Check progress often and change strategies if necessary.