AI/ML basics – A concise Introduction to AI/ML

As your organization undergo digital transformation, you are faced with a growing data in leaps and bounds, that is at once incredibly valuable and increasingly burdensome to collect, process and analyse. Hence new tools and methodologies are needed to manage the vast quantity of data being collected, to mine it for insights and to act on the same.

Topic Title :  AI/ML basics – A concise Introduction to AI/ML

Speaker : Mr Ramesh Kestur, Adjunct Professor, at International Institute of Information Technology, Bangalore (IIITB)

Date : Thursday, 4th July 2024

Time : 2:30 PM to 4:30 PM

Venue : Electronics City Industries Association, ELCIA Complex, #7 Electronics City, Bengaluru.

RVSP : Mob: 960 64 730 65


  1. Definition of AI/ML
  2. History and evolution of AI
  3. AI/ML terminologies
  4. AI/ML paradigms
  5. AI/ML solution triad
  6. Data, Domain and models
  7. Machine learning tasks
  8. Goal setting and metrics for AI/ML solutions.
  9. Industry-Specific AI Solutions use cases
  10. LLMs/Generative AI
  11. Ethical and Legal Considerations
  12. Production deployment
  13. Future trends in AI
  14. Q&A

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