Course Description

The course "Applications of Artificial Intelligence and Machine Learning in Industries" provides a comprehensive overview of how AI and ML technologies are transforming various sectors. From understanding the fundamental principles to exploring real-world industry applications, participants will gain insights into the role of AI and ML in revolutionizing business processes, decision-making, and innovation. Ethical considerations and societal impacts are also discussed to foster the responsible use of these technologies. 

Course Outcome

  • Understand the fundamental principles and terminologies of AI and ML
  • Apply data preparation techniques and select appropriate ML models for various tasks
  • Identify industry-specific applications of ML and their potential impact on business processes
  • Develop and deploy ML solutions in different industry domains
  • Evaluate and optimize the performance of ML models using relevant metrics and techniques
  • Stay updated on emerging trends and ethical considerations in the field of AI and ML

Pre-Requisites

  • A basic understanding of data science, programming (preferably in Python), and machine learning concepts is recommended.
  • Familiarity with statistics, linear algebra, and industry-specific processes will help participants fully grasp the course material.
  • Prior exposure to AI and ML frameworks or tools such as TensorFlow or scikit-learn would be beneficial but is not mandatory.

IBM Course

Lectures

10

Quiz

2

Skill level

Advanced

Certificate

Yes

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