Recommended AI Courses for Remote Roles

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 You can contact Dr. Delphine Asobo of Beveen Academy for internationally accredited courses on WhatsApp +447473128702

  1. IBM Applied AI Professional Certificate (Coursera)

    • Covers key AI skills like Python programming, machine learning basics, and chatbot creation.
    • Ideal for roles in AI development or training.
    • Duration: ~3 months.
    • Cost: Monthly subscription on Coursera​
      Coursera
      ​
      Learn R, Python & Data Science Online
      .

  2. Deep Learning Specialization (Coursera by Andrew Ng)

    • Focuses on neural networks, deep learning, and applications in computer vision and NLP.
    • Suitable for machine learning engineers or data scientists.
    • Includes practical projects to build your portfolio​
      Coursera
      ​
      Analytics Insight
      .

  3. AI for Medicine Specialization (Coursera by DeepLearning.AI)

    • Targeted at healthcare applications of AI, including disease prediction and medical imaging.
    • Prepares for roles in healthcare data analysis or AI-powered diagnostics​
      Coursera
      .

  4. Google Machine Learning Crash Course

    • Free course introducing machine learning concepts and TensorFlow.
    • Provides hands-on projects suitable for entry-level AI positions​
      Analytics Insight
      .

  5. AI for Business Professionals (Stanford Online)

    • Designed for non-technical professionals to understand AI strategy and implementation.
    • Great for roles like AI consultants or strategists​
      Stanford Online
      .

  6. AI Ethics and Governance (Lund University on Coursera)

    • Explores responsible AI use, ethics, and governance frameworks.
    • Relevant for roles in AI policy development and compliance​
      Coursera
      .

  7. Microsoft Certified: Azure AI Engineer Associate

    • Focuses on Azure AI services, including AI deployment and management.
    • Enhances qualifications for cloud-based AI roles.
    • Cost: $165 certification fee​
      Analytics Insight
      .

  8. Fast.ai Practical Deep Learning for Coders

    • Free course offering hands-on experience with deep learning projects.
    • Covers convolutional neural networks (CNNs) and generative adversarial networks (GANs).
    • Ideal for advanced developers​
      Analytics Insight
      .

Steps to Start:

  1. Choose Your Path: Decide based on your background (technical vs. non-technical) and career goals.
  2. Build a Portfolio: Engage in projects like chatbots, recommendation systems, or predictive models.
  3. Earn Certifications: Highlight certifications from recognized institutions on your resume or LinkedIn profile.
  4. Network: Join communities like Kaggle or GitHub to showcase skills and collaborate with other learners.

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