Applied Artificial Intelligence in Marketing and Automation

Duration: 30 hours
Certificate: YES
Work Experience Letter: YES

Course Importance & Value (Short Explanation)

In today’s hyper-competitive digital economy, marketing success is no longer driven by creativity alone. It is powered by data, automation, and intelligent systems. Applied Artificial Intelligence in Marketing and Automation equips marketers, business owners, and digital strategists with the skills to leverage AI as a growth engine, not just a technical tool.

This course bridges the gap between marketing strategy and AI execution, showing how artificial intelligence enhances customer acquisition, personalization, content creation, advertising performance, CRM automation, and predictive decision-making. Participants learn how to automate repetitive marketing tasks, analyze customer behavior in real time, and scale campaigns with precision, speed, and measurable ROI.

Designed for marketers rather than programmers, the course focuses on hands-on tools, real-world marketing scenarios, and automation frameworks used by modern agencies and high-growth brands.

Class 1 – AI in Modern Marketing

• What Artificial Intelligence really means for marketers

• AI vs traditional digital marketing

• How AI reshapes the customer journey

• Marketing use cases across B2C and B2B

• Overview of AI tools used in marketing today

Class 2 – Marketing Data, Signals, and Customer Intelligence

• Understanding marketing data sources

• Customer behavior tracking and signals

• First-party vs third-party data

• Ethical and privacy-compliant data usage

• Turning data into actionable marketing insights

Class 3 – AI-Driven Market Research & Consumer Insights

• Using AI for audience segmentation

• Predicting consumer intent and needs

• Sentiment analysis for brand monitoring

• Trend detection and demand forecasting

• Competitive intelligence with AI tools

Class 4 – AI-Powered Branding & Positioning

• AI for brand voice consistency

• Audience-aligned messaging strategies

• Personalization at scale

• Brand storytelling with AI support

• Visual identity and AI-assisted creative direction

Class 5 – AI Content Strategy for Marketing

• AI in content planning and ideation

• SEO-driven content strategies

• Content personalization for different audiences

• AI-assisted copywriting frameworks

• Editorial calendars powered by automation

Class 6 – AI for Social Media Marketing

• AI-driven content scheduling and optimization

• Predicting best posting times

• Engagement analysis and growth prediction

• Social listening and brand sentiment

• Automating social workflows

Class 7 – AI in Paid Advertising (Google, Meta, LinkedIn)

• How AI optimizes ad targeting

• Smart bidding and budget allocation

• Creative testing using AI

• Predictive performance modeling

• Reducing ad waste and increasing ROAS

Class 8 – Marketing Automation Fundamentals

• What marketing automation really means

• Automation vs personalization balance

• Building automated marketing funnels

• Lead nurturing workflows

• AI-driven decision triggers

Class 9 – AI-Enhanced CRM & Lead Management

• AI-powered lead scoring

• Predicting conversion probability

• Automated follow-ups and pipelines

• CRM personalization at scale

• Aligning sales and marketing with AI

Class 10 – Email Marketing & AI Personalization

• AI-based subject line optimization

• Predicting open and click rates

• Dynamic content personalization

• Automated drip campaigns

• Customer lifecycle email automation

Class 11 – Conversational AI & Chatbots in Marketing

• AI chatbots for lead generation

• Conversational marketing strategies

• Customer support automation

• Sales qualification via AI

• Integrating chatbots into marketing funnels

Class 12 – Predictive Analytics & Marketing Forecasting

• Predicting customer lifetime value

• Churn prediction and retention strategies

• Campaign outcome forecasting

• Budget planning using AI insights

• KPI optimization through predictive models

Class 13 – AI for E-Commerce & Conversion Optimization

• Personalized product recommendations

• Dynamic pricing strategies

• AI-driven UX optimization

• Cart abandonment prediction

• Conversion rate optimization with AI

Class 14 – Ethics, Trust & AI Governance in Marketing

• Ethical use of AI in marketing

• Bias and transparency challenges

• Customer trust and brand reputation

• AI regulations and compliance awareness

• Responsible AI marketing frameworks

Class 15 – Future of AI in Marketing & Final Strategy Workshop

• Emerging AI marketing trends

• AI-first marketing strategies

• Building an AI-powered marketing roadmap

• Case studies from leading brands

• Final project: AI-driven marketing strategy design

Outcome for Participants

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

• Design and execute AI-powered marketing strategies

• Automate complex marketing workflows

• Increase efficiency, personalization, and ROI

• Confidently use AI tools without technical coding

• Future-proof their marketing skills