EICTA, IIT Kanpur

AI for Managers

Empowering Business Leaders with AI-Driven Decision-Making (Online & Offline Training Available)

  • 100 Hours of blended learning – 40-45 hours of classroom sessions + 55 hours of hands-on assignments
  • Strategic AI training tailored for managers across Marketing, HR, Finance, Operations & more
  • Certification from EICTA consortium upon successful completion
  • Available in both Online & Offline (Classroom) formats
  • Classroom batches are scheduled as follows: Batch 1: 4th–19th Dec 2025, Batch 2: 15th–30th Dec 2025, and Batch 3: First week of Jan 2026.
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Winter Training

Certification

Hybrid

Mode of Delivery

100 Hours

Course Duration

What you'll learn

  • Understand core AI concepts and trends impacting management.
  • Identify opportunities to apply AI in business functions like finance, HR, and operations.
  • Gain hands-on experience with AI tools (TensorFlow, IBM Watson, Salesforce Einstein, UiPath, Tableau, Power BI, etc.).
  • Learn to evaluate and manage AI projects in real business contexts.
  • Develop strategies for AI-driven strategic planning, CRM, supply chain, and marketing.
  • Explore the future of AI in leadership and innovation.

Skills you'll gain

AI Fundamentals for BusinessStrategic AI ImplementationData Analytics & VisualizationCRM & Customer Insights with AIAI in Supply Chain OptimizationAI in Talent & Financial ManagementIndustry-Specific AI ApplicationsAI Project Evaluation & Leadership

Tools

TensorFlow
Tableau
PowerBI
Pytorch
Salesforce-Einstein

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Certificate

Course Fee

11864.41 +GST

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Manager-Centric AI Training

Tailored for leaders in HR, Finance, Marketing, Operations—focused on decision-making & strategy.

100 Hours of Practical Learning

100 Hours of blended learning – 40-45 hours of classroom sessions + 55 hours of hands-on assignments

EICTA consortium Certification

Earn a Certificate of Completion & Project Letter from EICTA consortium.

Real-World Applications

Case studies and hands-on tools for AI adoption in business management.

Classroom Batch Schedule

Classroom batches are scheduled as follows: Batch 1: 4th–19th Dec 2025, Batch 2: 15th–30th Dec 2025, and Batch 3: First week of Jan 2026.

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