Training Level

Intermediate

Training Duration (Days)

7

Training Mode

  1. Physical classroom & Online

Prerequisite

  1. Understanding of fundamental AI,ML, supervised/unsupervised learning, artificial neural networks, computer vision and natural language processing
  2. Or CertNexus AIBIZ™& experience working with databases and programming language as Python, Java, or C/C++

Career Track

  1. AI/ML ENGINEER
  2. ASSOCIATEAI/ML ENGINEER

Accreditation Body

CERTNEXUS/LOGICAL OPERATIONS, USA

Skill Outcome

By the end of this course, you will be able to:

  1. Implement AI techniques: Specify a general approach to solve a given business problem that uses applied AI and ML
  2. Collect and refine a dataset to prepare it for training and testing. Train and tune a machine learning model
  3. Present ML results to the appropriate audience. Promote data privacy and ethical practices within AI and ML projects
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