Overview

Artificial Intelligence(AI) has become a decisive technology for the growth of every organization. Sophistication in AI is expected to be the main differentiator between high-performing companies and low-performing companies. The use of AI and its components such as statistical, machine and deep learning are expected to increase the stakeholder value and customer experience and satisfaction. The algorithmic aspects of AI are available readily through many sources; however, many companies still struggle with adapting AI to the organization.
This short-duration program is aimed at the managers who are currently leading and are likely to lead AI initiatives in the organization. The course covers the aspects such as Organizational journey of AI transformation, data governance, data preparation for analytic model building and descriptive, predictive and prescriptive analytics.

Syllabus

Introduction to Artificial Intelligence (AI), Machine Learning (ML), Statistical Learning(SL), and Deep Learning(DL):
Intuitive understanding of AI; Relationship between AI, ML, SL, and DL; Converting a business problem into an analytics problem, analytics problem-solving framework; Use cases of AI across different functional areas and different industries; Business process automation using AI.

Machine Learning: Supervised, Unsupervised and Reinforcement Learning Algorithms.
AI/ML Model Development: Feature Extraction; Feature Engineering; Feature Selection; Model Selection and Model Deployment.

Introduction to Descriptive, Predictive and Prescriptive Analytics:
Objectives of Descriptive Analytics: Story telling using Data; Predictive Analytics Models:  Regression, and Logistic Regression; Prescriptive Analytics: Linear Programming and Multi-Criteria Decision Making.

Eligibility

The program is designed for leaders with at least 10 years of experience who are either working in AI or planning to set up an AI team.

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Course Info

Fees: 1 lakh
Duration: 3 Days
Study Mode : Part Time
Approved By: UGC

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