CAIE™
Certified Member

  • Michael Nana Kameni
  • Certified Member: 8787438619
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United States Artificial Intelligence Institute
Certified Intelligence Engineer Engineer

Michael Nana Kameni

  • CAIE™ — #8787438619
  • CAIE™ Original Grant Date — July 18, 2022
  • CAIE™ Expiration Date — July 17, 2025
  • Issuer Location — 680 E Main Street #699 Stamford, CT 06901

The Certified Individual has the Capability and Expertise to Perform in

  • Understanding and Implementing Artificial Intelligence and Machine Learning Concepts
  • Deep Learning Framework and Libraries
  • Natural Language Processing (NLP)
  • Computer Vision and GANs
  • Reinforcement Learning
  • Deep Reinforcement Learning

Certification issued by USAII®

The United States Artificial Intelligence Institute (USAII®) envisions to impart world-class high-end and in-depth technical certifications for aspiring Artificial Intelligence and Machine learning professionals. These technologies are futuristic and possess great potential with enormous opportunities. Getting certified in these in-demand technologies opens a world of possibilities with bright career prospects for individuals and organizations. These certifications are specifically designed for professionals to test and impart in-depth knowledge to individuals, enhance their credibility, and experience the acceleration of their professional development.

Qualification(s)

  • MBA, New York University - Leonard N. Stern School of Business, USA
  • Bachelor's in Information Science and Technology (Cabrini University, USA)

Additional Certificate(s)

  • Program Management Professional (PMP), USA
  • Certified Statistical Business Analyst Using SAS 9
  • Certified Data Privacy Solutions Engineer (CDPSE)

Brief Profile

An accomplished senior AI Professional with 10+ years of cross-functional experience in leading and driving AI on Cloud, Python, machine learning pipelines, machine learning algorithms, deep learning foundations, projects and initiatives for organizational growth.

USAII® Certification Programs