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WorldQuant University launches a free, 16-week online Deep Learning Fundamentals Lab that delivers rigorous, project-based education worldwide. Leveraging PyTorch, participants build and train neural networks for tasks like image classification and healthcare problem-solving. The program addresses the growing demand for AI-skilled professionals by equipping learners with practical deep learning expertise.

Key points

  • Leverages PyTorch framework to build and train neural networks for image classification and healthcare tasks.
  • Includes hands-on projects such as heart disease detection and concrete strength prediction.
  • Offers a free, 16-week online certificate program requiring Python, machine learning, and calculus experience to bridge the AI skills gap.

Why it matters: This initiative democratizes high-quality deep learning education globally, addressing critical AI skills shortages and fostering innovation across industries.

Q&A

  • What background knowledge is required?
  • How do project-based modules enhance learning?
  • What career opportunities can this lab enable?
  • Is there any cost or financial aid available?
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Market research firm ResearchAndMarkets forecasts a rise of the AI market from USD 273.6 billion to USD 5.26 trillion by 2035, driven by software, cloud-based services, and widespread adoption across key industries, enabling data-driven decision-making and automation.

Key points

  • Forecast predicts AI market growth from $273.6B to $5.26T by 2035 at 30.84% CAGR.
  • Software leads market share with broad use in NLP, computer vision, and ML across sectors.
  • Cloud-based deployment segment expected to outpace on-premises in future growth due to scalability.

Q&A

  • What does CAGR mean?
  • Why is software dominating the AI market?
  • How does cloud deployment affect AI adoption?
  • What industries are driving AI growth?
  • Why is regional growth fastest in Asia?
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