Welcome to Episode number 9 of the AI NOW podcast!
In this episode "Get a Career in AI", we dive into the exciting world of Artificial Intelligence and explore how you can become a part of this transformative field .
Have you ever imagined a future where AI is diagnosing diseases faster than doctors or creating award-winning art? That future is now, and behind these incrediblebreakthroughs are talented individuals shaping its course. This episode is your guide to understanding how to build a successful career in AI, whether you're a coder, a philosopher, or a designer ....
We'll start by defining what AI is – the science of training machines to mimic human intelligence like learning, reasoning, and problem-solving. Discover the massiveimpact of AI across diverse industries, from predicting crop yields in farming to powering recommendations on Netflix and even aiding mental health through apps like Woebot. We'll delve into why pursuing an AI career is a smart move,highlighting the high demand for AI talent, with the World Economic Forum predicting 97 million new AI-related jobs by 2025. Companies like Google and Pfizer are actively seeking AI professionals, and even Tesla's Autopilot team saw exponential growth.
Explore the fascinating key disciplines within AI, including Machine Learning (ML), which teaches machines to learn from data, exemplified by Spotify's personalized playlists . We'll also cover Natural Language Processing (NLP),enabling machines to understand text and speech, like Grammarly's AI-powered grammar checks. Learn about Computer Vision (CV), the technology behind Instagram filters and used by surgeons to analyze MRI scans with impressive accuracy. Understand the crucial role of AI Ethics in addressing issues like bias in algorithms, as seen with Amazon's hiring tool. We'll touch upon Roboticsand its real-world applications, such as warehouse automation, and AI Product Management, which bridges the gap between technology and business.
Learn valuable job search strategies, including utilizing platforms like LinkedIn and specialized job boards, crafting impactful resumes that quantify your achievements, and the power of networking at industry events. We'll also touchupon current trends and challenges in AI, such as the rise of generative AI and AI in law, as well as important considerations like bias in AI and potential job displacement. Finally, we'll point you towards valuable resources and communities like books, podcasts (such as the Lex Fridman Podcast), and online platforms like Kaggle and r/MachineLearning to continue your AI journey .
According to Andrew Ng, a prominent figure in AI, coding AI is becoming a new form of literacy . His insights emphasize a three-step approach to career growth in AI:
learning foundational skills, working on projects, and finding a job, all while being part of a supportive community .... He highlights the importance of foundational machine learning skills, deep learning, software development, and relevant math for a promising AI career .... Ng also stresses that learning is a career-long process .
Ready to embark on your AI career? This episode is packed with actionable insights to get you started.
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References:
TensorFlow: tensorflow.org
PyTorch: pytorch.org Hugging Face (NLP): huggingface.co DALL-E 2 (OpenAI): openai.com/dall-e-2 GitHub Copilot: github.com/features/copilot Kaggle: kaggle.com Google Colab: colab.research.google.com “The Hundred-Page Machine Learning Book” by Andriy Burkov (ISBN: 978-1999579500) “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” by Aurélien Géron (ISBN: 978-1492032649).
Musicby EVGENY , Kyrylo and Quang Duc from Pixabay