Professional Certificate Program in AI And Machine Learning

Overview of AI and ML Certification

This AI ML certification course, which covers statistics, ML, neural networks, NLP, and reinforcement learning, may be useful for programmers. This AI ML course is delivered using our interactive learning technique, which includes live sessions from outside experts, laboratories, and business projects.

 

Key Elements

  • Membership in the Alumni Association and accreditation from the Purdue Postgraduate Program
  • 3 Capstones and more than 25 Projects with data from Mercedes Benz, Uber, Twitter, and other industry sources
  • IBM only hosts hackathons and Ask Me Anything sessions.
  • IBM professionals and Purdue faculty present master classes
  • Andrew McAfee, a principal research scientist at MIT, will lead a LevelUp session.
  • 8X more live engagement in programs taught by industry professionals online


The Benefit Of Machine Learning And AI

This comprehensive postgraduate program in AI and Machine Learning, co-sponsored by Purdue University and IBM, will prepare you for a career in AI, Computer Vision, Machine Learning, and Deep Learning.


Combining Forces With Purdue University

  • Obtain the joint Purdue-certificate
  • Faculty masterclasses at Purdue
  • Membership in the Purdue University Alumni Association

 

COLLABORATIVE PROGRAM WITH IBM

  • IBM credentials for IBM courses are accepted by the industry.
  • Sessions for "Ask Me Anything" with IBM Experts

 

Bootcamp: an 8x more efficient method of education

  • Online laboratories and practical, hands-on projects
  • Virtual classrooms that are live and have self-paced videos online
  • 24/7 instructional assistance and community forums for students
  • Master seminars led by renowned industry figures and university faculty

 

Details about AI ML Certification

Our AI and Machine Learning Course, created in collaboration with Purdue University, will help you realize your full AI and ML potential. You'll learn about Machine Learning, Reinforcement Learning, Computer Vision, Natural Language Processing, and Supervised Learning, among other AI-based technologies.


Skills Included

  • Statistics
  • Python
  • supervised education
  • Unsupervised Education
  • NLP
  • Cognitive Networks
  • Machine Learning
  • GANs
  • Keras
  • Tensorflow
  • Reward-Based Learning
  • Language Recognition
  • Systems of Recommendations
  • Collective Learning
  • NumPy

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