Course Details

This course is appropriate for a wide range of professionals but not limited to:

• Marketing managers and executives
• Digital marketers and content strategists
• Brand managers
• Data analysts and marketing analysts
• CRM and customer experience professionals
• Business development professionals
• Entrepreneurs and startup founders
• Anyone interested in applying AI in marketing

No prior programming knowledge is required. Basic familiarity with digital marketing is recommended.

• Expert-led sessions with dynamic visual aids
• Comprehensive course manual to support practical application and reinforcement
• Interactive discussions addressing participants’ real-world projects and challenges
• Insightful case studies and proven best practices to enhance learning

By the end of this course, participants will be able to:

• Understand the role and impact of AI in the marketing landscape.
• Identify and evaluate AI tools and platforms used in digital marketing.
• Apply AI to segment customers, personalize content, and optimize campaigns.
• Analyze data using AI-driven predictive and prescriptive analytics.
• Understand ethical and data privacy considerations in AI-based marketing.
• Create an AI-integrated marketing strategy aligned with business goals.

DAY 1

Introduction to AI in Marketing

• What is AI? Machine Learning vs. Deep Learning vs. Generative AI
• Evolution of AI in marketing
• Key AI marketing use cases: personalization, automation, insights
• Overview of AI tools: ChatGPT, Midjourney, Jasper, HubSpot AI, etc.
• The role of data in AI-driven marketing
• Case studies of AI in global marketing campaigns

DAY 2

Customer Segmentation, Targeting & Personalization

• AI for behavioral and psychographic segmentation
• Tools for customer profiling and journey mapping
• Personalization engines and recommender systems
• Dynamic content creation with AI
• AI chatbots and virtual assistants for CX
• Exercise

DAY 3

Content Creation, SEO & Campaign Optimization

• Using AI for automated content creation: blogs, ads, email
• AI for A/B testing and campaign performance prediction
• AI and SEO: Natural Language Processing (NLP) and search ranking
• Sentiment analysis and brand monitoring with AI
• Using AI for social media scheduling, captioning, and engagement
• Workshop: Generate and optimize a marketing campaign using AI tools

DAY 4

Predictive Analytics & Data-Driven Decision Making

• Understanding predictive and prescriptive analytics
• Using AI to forecast trends, churn, and customer lifetime value
• AI in pricing strategy and ROI prediction
• Integrating AI insights into decision-making dashboards
• Demo: Using AI analytics platforms

DAY 5

Ethics, Strategy & Implementation Planning

• Ethical use of AI in marketing: data privacy, transparency, bias
• Compliance: GDPR, CCPA and AI governance
• Building an AI-ready marketing strategy
• Change management and team adoption
• Future of AI in marketing: trends to watch
• Final group activity