What Are The Top in Demand Roles in AI/ML And Certificates For Them

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AI Summary

• AI Job Roles Overview:
  • Machine Learning Engineer
    • Design and implement AI systems.
    • Write code and understand algorithms.
    • Example: Netflix’s recommendation system.
  • Data Scientist
    • High demand, similar to past software developer boom.
    • Use statistics, mathematics, and computer science to analyze data.
    • Predictive modeling and data mining.
    • Example: Analyze sales data for future product demand.
  • AI Researcher
    • Explore new AI technologies and applications.
    • Example: DeepMind’s AlphaFold for protein folding predictions.
  • NLP Engineer
    • Develop systems for language understanding and generation.
    • Work on translation, sentiment analysis, speech recognition.
    • Example: Google Assistant’s language context improvements.
  • Computer Vision Engineer
    • Create algorithms for image/video analysis.
    • Example: Tesla’s object recognition for autonomous driving.
  • AI Ethicist
    • Ensure responsible AI system development.
    • Example: Microsoft’s facial recognition technology analysis.
  • AI Product Manager
    • Oversee AI feature development and team coordination.
    • Example: Spotify’s personalized playlist features.
  • Robotics Engineer
    • Combine software, AI, and hardware knowledge.
    • Work on robot mobility and applications.
    • Example: Boston Dynamics’ robot navigation improvements.
• AI Job Market:
  • Continues to grow beyond 2024.
  • Includes technical and non-technical roles.
  • Certifications can upskill for AI roles.
  • No strict requirement for computer science degrees.
• Additional Notes:
  • Encouragement to subscribe and suggest video topics.
  • Personal anecdote about mushroom coffee preference.
  • Emphasis on the variety of AI roles and the potential for career shifts.
  • Mention of personal projects and YouTube channel content.
  • Call to action for viewers to engage and explore AI opportunities.