E-PashuHaat Transportal

GPMS TRANSPORTAL APPLIED AI COURSES

AI

Course 80 :AI for Business and Industry Grade 11

Duration: 36 Hours (6 Hours per week - 2 Hrs x 3)

Week 1 - AI in Finance and Banking
Learning Outcome

Understanding AI role in financial automation.

1.1 AI-powered fraud detection and financial security
1.2 AI in stock market predictions and algorithmic trading
1.3 AI for credit scoring and loan risk assessment

Practical Component
Simulating AI-driven financial analysis at Dataviv AI Lab
Week 2 - AI in Business Strategy and Market Analytics
Learning Outcome

Exploring AI impact on decision-making in business.

2.1 AI-powered business intelligence and market research
2.2 AI in customer relationship management and automation
2.3 AI in retail sales forecasting and product recommendations

Practical Component
Developing AI-based business strategies at Dataviv AI Lab
Week 3 - AI in Supply Chain and Logistics
Learning Outcome

Understanding AI role in optimizing operations.

3.1 AI in demand forecasting and inventory management
3.2 AI-powered warehouse automation and robotics
3.3 AI for logistics route optimization and delivery tracking

Practical Component
Simulating AI-driven logistics models at Dataviv AI Lab
Week 4 - AI in Manufacturing and Industrial Automation
Learning Outcome

Exploring AI-powered automation in industries.

4.1 AI in predictive maintenance and equipment monitoring
4.2 AI-powered robotic assembly and production lines
4.3 AI for defect detection and quality assurance

Practical Component
Experimenting with AI-driven industrial automation at Dataviv AI Lab
Week 5 - AI in Smart Retail and E-commerce
Learning Outcome

Understanding AI influence on consumer behavior

5.1 AI-powered recommendation systems and personalized shopping
5.2 AI in virtual shopping assistants and augmented reality stores
5.3 AI for automated customer support and chatbots

Practical Component
Testing AI-driven retail automation at Dataviv AI Lab
Week 6 - AI for Business Innovation Project
Learning Outcome

Applying AI to a real-world business problem.

6.1 Identifying a business or industry challenge solvable with AI
6.2 Developing an AI-powered business solution
6.3 Presenting project findings

Practical Component
Hands-on AI business project at Dataviv AI Lab