AI for Managers

₹14,042.00

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Description

Under the Ministry of Electronics & Information Technology (MeitY), E&ICT Academy, IIT Kanpur brings you various courses in Emerging Technologies, Computer Sciences, Entrepreneurship, Business and many more. This course is curated and delivered by Industry Experts equipped with a wealth of experience and an in-depth understanding of the subject matter.

Overview:

This course is designed for managers across various functions who seek to understand and leverage AI technologies to drive business outcomes. It covers foundational AI concepts, practical tools, and industry-specific applications, with a focus on strategic decision-making and innovation in management.

Pre-Requisite:

  • Basic understanding of business management and operations.
  • Familiarity with general technology concepts.

Target Audience:

  • Managers in Marketing, HR, Operations, Finance, and other functional areas.
  • Business leaders looking to integrate AI into their strategic planning.
  • Professionals aiming to upskill and stay competitive in an AI-driven business environment.

Key Learning Outcome:

By the end of this course, participants will:

  • Understand key AI concepts and how they apply to management roles.
  • Be able to identify opportunities for AI implementation within their functions.
  • Gain familiarity with AI tools and platforms used in business management.
  • Learn to evaluate and manage AI projects within their organizations.
  • Develop insights into the future of AI in business management.

Delivery Mode & Duration:

  • Mode: Hybrid (In-person or online, with live interactive sessions and self-paced learning modules)
  • Duration: 60 hours (including lectures, hands-on labs, assignments, and assessments)

 

Disclaimer : E&ICT Academy, IIT Kanpur reserves the right to modify or cancel any courses listed on the portal. E&ICT Academy, IIT Kanpur also reserves the right to change the mode of delivery (Online, Offline, Hybrid, Self paced) without notice. However, the student will be given the option to claim 100% refund in case of any of the above modifications.

 

Module 1: Introduction to AI in Business Management 

 Overview of AI 

  • Introduction to AI in business, historical context, and its significance.
  • Impact of AI on business strategy and decision-making.

 Understanding AI 

  • Key AI concepts, terminology, machine learning vs deep learning.
  • Role of AI in enhancing business efficiency and innovation.

 AI Trends 

  • Discussion of current and future trends in AI, including emerging technologies.
  • How AI trends are reshaping business models and management practices.

 Generative AI 

  • Introduction to Generative AI, examples like GPT-3, Deepfakes.
  • Applications of Generative AI in business contexts.

Ethics in AI 

  • Ethical considerations, bias, and privacy concerns in AI.
  • Managing AI responsibly in a business environment.

Module 2: AI Technologies and Tools for Managers 

Fundamentals of AI 

  • Basic principles of machine learning, algorithms, and neural networks.
  • Overview of AI methodologies relevant to management.

AI Tools Overview 

  • Overview of AI tools like TensorFlow, PyTorch, IBM Watson, and their business applications.
  • AI platforms for managers: Analyzing tools for decision-making and analytics.

Data Analytics in AI 

  • Role of data in AI, introduction to data analysis tools like Tableau, Power BI.
  • Understanding how data drives AI and informs business decisions.

AI Tools Workshop 

  • Hands-on workshop using AI tools for practical business applications.
  • Case study exercises to apply AI tools in management scenarios.

Module 3: AI in Strategic Management 

AI in Strategic Planning 

  • How AI enhances strategic planning and forecasting.
  • Tools and techniques for AI-driven strategic management.

AI in Financial Management 

  • AI applications in financial planning, risk management, and investment analysis.
  • Tools like Alteryx, IBM Watson in financial decision-making.

AI in Customer Relationship Management (CRM) 

  • Leveraging AI for customer insights, engagement, and retention.
  • AI-driven CRM tools like Salesforce Einstein, HubSpot.

AI in Supply Chain Management 

  • AI applications in optimizing supply chains, inventory management, and logistics.
  • Case studies on AI in supply chain operations.

AI in Talent Management 

  • AI in recruitment, employee engagement, and talent development.
  • Tools like LinkedIn Talent Insights, Pymetrics for HR analytics.

Module 4: Industry-Specific AI Applications 

AI in Marketing 

  • AI for personalized marketing, customer segmentation, and campaign optimization.
  • Tools like MarketMuse, Google AI in marketing strategies.

AI in Operations 

  • AI for process optimization, workflow automation, and operational efficiency.
  • Tools like UiPath, Blue Prism in operations management.

AI in Retail Operations 

  • Case study: AI applications in retail, tools like Salesforce Einstein.
  • How AI is transforming retail supply chains, customer experience, and sales.

AI in Manufacturing 

  • AI-driven predictive maintenance, quality control, and production planning.
  • Case studies on AI applications in manufacturing industries.

Module 5: Future of AI in Management 

Round Table Discussion on AI Trends 

  • Discussion on future trends in AI across various management functions.
  • Expert panel on the evolving role of AI in business leadership.

Final Project 

  • Capstone project: Participants will develop a strategy for implementing AI in their respective departments or business units.
  • Presentation and peer review of AI implementation strategies.
Eict Certificate

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