GPMS TRANSPORTAL APPLIED AI COURSES

• This course introduces AI technologies and their applications in marketing and CRM. Students will explore how AI can be used to personalize marketing strategies, predict customer behavior, and automate customer service. The course focuses on integrating AI into marketing systems to drive customer engagement, retention, and business growth.
• Level: Basic
• Prerequisites: Basic understanding of marketing and customer relationship management. No coding knowledge required.
• Assessments: Weekly Micro Assessments, Final Project-based Assessment.
• Job Roles Applicability: Marketing Analyst, CRM Manager, AI Marketing Specialist, Digital Marketing Strategist.

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Week 1 - Introduction to AI in Marketing and CRM

Learning Outcome

Understand the fundamentals of AI in the context of marketing and CRM.

1.1 What is AI (Computer Vision, and Interaction AI Focus) and how it transforms marketing and CRM?
1.2 AI tools for improving customer interactions.
1.3 Key AI technologies (NLP, Machine Learning, Predictive Analytics) and their roles in CRM.

Practical Component
SExplore various AI Algorithms across Interaction AI, and CV Equipment with compare and contrast understanding.

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Week 2 - Personalization of Marketing Campaigns Using AI

Learning Outcome

Learn how AI can personalize marketing efforts to increase customer engagement and conversion.

2.1 Personalization algorithms and techniques in digital marketing.
2.2 AI for segmenting customers and targeting.
2.3 Using AI to recommend products and content.

Practical Component
Create an AI-driven personalized email campaign or product recommendation engine.

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Week 3 - AI for Customer Segmentation and Behavior Prediction

Learning Outcome

Gain insight into using AI to segment customers and predict future behavior.

3.1 Introduction to customer segmentation and behavior prediction.
3.2 Using machine learning to analyze customer data.
3.3 Predicting customer churn, lifetime value, and purchase behavior.

Practical Componenet
Build a predictive model to forecast customer churn or loyalty.

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Week 4 - AI-Powered Chatbots and Virtual Assistants for CRM

Learning Outcome

Understand how chatbots and virtual assistants improve customer interaction and service.

4.1 Building AI chatbots for 24/7 customer support.
4.2 Virtual assistants for CRM and sales automation.
4.3 Natural Language Processing (NLP) and sentiment analysis in customer communication.

Practical Componenet
Design a simple chatbot for customer service automation.

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Week 5 - AI for Marketing Automation and Campaign Optimization

Learning Outcome

Learn how AI can automate marketing tasks and optimize campaigns in real-time.

5.1 AI tools for campaign management and automation.
5.2 Optimizing ad spend and targeting with AI.
5.3 AI for tracking marketing performance and adjusting strategies.

Practical Component
Set up an automated campaign using AI tools for email marketing or social media ads.

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Week 6 - Final Project and Assessment

Learning Outcome

Apply AI to create a comprehensive marketing and CRM strategy for a business.

6.1 Group project to design a personalized marketing strategy using AI.
6.2 Final presentations and peer feedback.
6.3 Instructor feedback and final assessment.

Practical Component
Present a marketing and CRM strategy, demonstrating how AI was integrated to improve customer engagement and business results.

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