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Artificial Intellegence

Virtual Training on Artificial Intelligence

Virtual Training on Artificial Intelligence: The Prediction Machines to help the industry members to understand what AI and ML are about and its applications. This training is designed to give a good overview of AI & ML through different learning approaches.


✅To introduce key concepts behind AI, including the differences between “strong” and “weak” aspects.
✅How AI has created questions around what it means to be intelligent and how much trust we should put in machines.
✅To understand different approaches to AI, including machine learning, and the practical applications for new AI-enhanced technologies.
✅To understand how the prediction machines can be built in business context with the help of AI Canvas.


Topics To Be Covered
✅Introduction to Artificial Intelligence & Machine Learning.
✅ML – Creating a paradigm shift in problem solving.
✅ML – Supervised learning approach.
✅ML – Unsupervised learning approach.
✅AI – Introduction to deep learning.
✅AI – Project engagement approach & career options.


Key Takeaways
📌Understand the key concepts of AI which is the next big revolution after Internet.
📌Understand how and where these AI concepts are applied through a real life case studies.
📌Practical hands on experience in identifying AI in the business.
📌 Get the right knowledge to introduce these technologies in the business/organization.


Who should attend?
✒️Anyone who is interested in learning new technologies and become a smart worker in the organization.
✒️ Anyone who likes to introduce these technologies in their organization and take their enterprise to the next level.
✒️ Mid-level and senior level managers of an organization who likes to understand the concept of AI and new age technologies for driving new initiatives in their organization.
Original Price:- 21000/- INR❌
Offer Price :- 10499/- INR ✅



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24 Aug 2020 - 28 Aug 2020


7:30 pm - 9:30 pm

Local Time

  • Timezone: America/New_York
  • Date: 24 Aug 2020 - 28 Aug 2020
  • Time: 10:00 am - 12:00 pm



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