Digital Marketing in the world of AI Agents

GenAI in Digital Marketing Advanced Course for future-proofing your career in the world of AI agents 🚀

What does this corporate professionals course have to offer?

Module 1 - Foundational Digital Marketing Principles

Defining digital marketing and its key components
Branding and the 4Ps
Customer Value Proposition
Segmentation, Targeting, and Positioning
Customer Relationship Management (CRM)
Individual Assignment: Develop a market segmentation plan for a new product.
Understanding the customer journey and digital touchpoints
Setting SMART marketing goals and KPIs
Building a strong digital marketing foundation
Brand Truth: Marketing Fundamentals
Customer Journey: AIDA Funnel
Marketing Presentation Skills
Introduction to Agencies & Departments
Individual Assignment: Write a report on the challenges of integrating marketing with other departments.
Market Research and Analysis
Marketing in the Business Process
Marketing Constraints and Challenges
Competitive and Marketing Environment
Assignment

Module 2 - Search Engine Optimization (SEO) and Generative AI

Generative AI and SEO
On-page and off-page SEO techniques using AI
Keyword research and competitive analysis
Technical SEO with AI
Local SEO strategies
SEO Content Creation with Gen AI
AI-powered keyword research and competitor analysis
The Future of SEO and Gen AI
Case Study
Assignment

Module 3 - Search Engine Marketing (SEM) and Generative AI

Paid search advertising (Google Ads, Microsoft Ads)
Campaign planning and budgeting
Ad copywriting and landing page optimization
Performance tracking and analysis
Generative AI and SEM
Keyword Research and Campaign Planning with Gen AI
Automating ad creation and optimization
Using AI to predict campaign performance and identify opportunities
Bidding Strategies and Audience Targeting
Performance Analysis and Reporting
The Future of SEM and Gen AI
Case Study
Assignment

Module 4 - Social Media Marketing and Generative AI

Paid vs Organic
Content Creation and Engagement
Social Media Performance Metrics
Influencer Marketing
Platform-Specific Strategies
Community Building and ORM
Brand Reputation Management
Resume & LinkedIn Profile Building
Social media listening and community management
Organic and paid social media advertising
Social media analytics and reporting
Developing effective social media strategies
AI-powered social media listening and sentiment analysis
Generating engaging social media content using AI
AI-driven social media advertising and targeting
Case Study

Module 5 - Content Marketing with Generative AI

Content strategy development and planning
Creating high-quality, engaging content
Content distribution and promotion
Content marketing analytics and ROI measurement
Using AI for content ideation, research, and writing
Generating creative content
AI-assisted content editing and optimization
Case Study

Module 6 - Email Marketing and Generative AI

Email list building and segmentation
Crafting compelling email campaigns
Email marketing automation and personalization
Email deliverability and spam prevention
AI-powered email personalization and segmentation
Using AI to optimize email subject lines and content
Predicting email engagement and identifying at-risk subscribers
Case Study

Module 7 - User Experience (UX) Design, Web Analytics, and Generative AI

Website Basics
Website SEO
E-Commerce
Google Analytics fundamentals
Website traffic analysis and user behavior
Data visualization and reporting
Key website metrics and their interpretation
Website Elements and UX Design Basics
Information Architecture and Wireframing
Desktop vs. Mobile Wireframes
Visual Design and Testing Processes
Landing Page Optimization
Assessment

Module 8 - Marketing Analytics and Generative AI

Introduction to Marketing Analytics
Data Collection and Preparation
Data Analysis Techniques
Optimization Techniques
Pricing Optimization, Channel Optimization, and Marketing Budget Allocation
Forecasting Techniques
Customer Churn Prediction and Demand
Forecasting
Key Performance Indicators (KPIs) in
Marketing
Marketing Mix Modeling
Introduction to Generative AI Models
AI and Machine Learning in Marketing
Data Privacy and Security Bias in Data and Algorithms
Applications of Generative AI in Marketing
Prompt Engineering for Generative AI
Machine Learning Algorithms in Marketing
Case Study

Module 9 - Growth Marketing with Generative AI

Lead Generation & Nurturing
Google Analytics 4
AI-powered content creation
Optimizing content for search engines (SEO) with AI assistance
AI-driven content personalization and segmentation
Chatbots and conversational AI for customer engagement
AI-powered email marketing
AI-driven customer loyalty programs
Ethical Considerations in AI-Powered Growth Marketing
Prompt Engineering for Growth Marketers
Growth Marketing Campaigns with AI
Case Study

Module 10 - Strategy Marketing with Generative AI

Media Planning
Conversion Rate Optimization
Customer Relationship Management
Blogging, AdSense & Affiliate Marketing
Freelancing Economics & Overview
Portfolio & Personal Brand Building
Case Study

Module 11 - Management Level Marketing with Generative AI

Art of Pitching
Corporate Soft Skills
Client Servicing
Reporting & Excel Training
Campaign Planning
Project Management
Leadership & Conflict Resolution Skills
Economics of Digital Marketing
Case Study

Module 12 - Services Marketing and Generative AI

Introduction to Services Marketing
Customer Experience Management (CXM)
Designing Exceptional Customer Experiences
Technology and CX
Responsible Service Marketing
Corporate social responsibility (CSR)
Sustainable service practices
Ethical considerations in data privacy and security
Building trust and transparency with customers
Generative AI and Customer Experience
Service Innovation with Generative AI
Future of Services and Generative AI
Case Study

Module 13 - Retail Marketing and Generative AI

Foundations of Retail Strategy
Retail Buying, Merchandising, and Location
Retail Operations Management
Retail Failure & E-commerce Fundamentals
Generative AI in Retail
The Future of Retail
Case Study

Module 14 - Consumer Marketing with Generative AI

Consumer Buying Behaviour models
Organization Buying Behaviour models
Understanding customer experience and the digital journey
AI-powered chatbots and virtual assistants for customer support
Using AI for personalized customer recommendations and offers
AI-driven sentiment analysis to understand customer feedback
Case Study

Module 15 - Mastering GAI - Replicable, People, and AI Literacy Skills

Focusing on creative, strategic, and critical thinking skills
Cultivating strong communication, leadership, and interpersonal skills
Developing a human-centered approach to problem-solving and decision-making
Enhancing emotional intelligence and empathy
Developing strong negotiation, persuasion, and influencing skills
Building and nurturing strong relationships with colleagues, clients, and stakeholders
Understanding the capabilities and limitations of different AI tools
Learning to effectively use and manage AI technologies
Developing a critical understanding of AI ethics and societal impact
Case Study

Module 16 - Digital Marketing, Generative AI, and the job market

Adapting to the changing role of data analysts and marketers
Leveraging AI to enhance your existing skills and responsibilities
Developing a strong understanding of cross-functional collaboration and stakeholder engagement
Case Study: How a data analyst used AI to automate data analysis and focus on strategic insights
Identifying potential career shifts and reskilling opportunities
Developing niche expertise and specialized skills
Focusing on human-centric aspects of your role
Leveraging your unique human skills and building deeper client relationships
Exploring new opportunities in emerging areas like AI ethics and governance
Staying ahead of the curve by continuously learning and adapting to new technologies
Case Study

Module 17 - Real-World Case Studies & Practical Assignments

AI-Powered Content Strategy for “EcoTech” (Sustainable Energy Solutions)
Reskilling Program for Data Analysts
AI-Powered Social Media Campaign for “KidMedics” (Pediatric Clinic)
Community Forum Management for “Savvyor Hospitals”
Marketing Metrics Analysis for “LyvenSured” (Insurance Company)
Understanding Customer Behavior for “TelecomX” (Telecommunications Company)
Brand Engagement Strategy for “Digitags” (Digital Marketing Agency)
Integrated Marketing Communication (IMC) Campaign for “Pet Pals” (Pet Grooming Salon)
Reverse-Engineering a Creative Brief for “CEAT Tyres”

Module 18 - Survival Guide To Future-proofing Your Career in the World of AI Agents

The Rise of AI Agents & Impact on Digital Marketing
Introduction to AI agents
Analyzing the impact of AI agents
Identifying potential threats and opportunities presented by AI agents
Prompt engineering
AI-assisted content creation
Data analysis and interpretation with AI
AI-powered automation
Empathy and Emotional Intelligence
Creativity and Innovation
Critical Thinking & Problem-Solving
Communication & Collaboration
Identifying Future-Proof Skills
Reskilling and Upskilling
Building a Strong Professional Network
Developing a Personal Brand
Emerging trends in AI and their impact on digital marketing

£199.00 GBP

inclusive of value added tax

No. of Modules

Frequently Asked Questions

Can a newbie marketing professional benefit from the ‘Digital Marketing in the world of AI Agents’ course?

Yes. As a marketing professional in a corporate setup, this course will enable you to expand your skill set in lead generation, AI-based competitor research, ad management, writing SEO-content and more.

Do we receive a skill learning certification upon completing this course?

Yes. ‘Digital Marketing in the world of AI Agents’ is globally-recognized, making it a course of great value and credibility as well.

How long does the ‘Digital Marketing in the world of AI Agents’ course take to complete?

It takes 200+ hours for the course to complete. The curriculum is tailor-made to suit the schedule and skill set of whoever is pursuing the course. There is no fixed number of hours you should take to complete it. You can do so at your own pace.

Can I as a student enroll for ‘Digital Marketing in the world of AI Agents’ course?

No. This advanced digital marketing course is for experienced marketing professionals or CMOs.

Is there financial aid available for pursuing ‘Digital Marketing in the world of AI Agents’ course?

Please write to us and we will evaluate the request based on some predetermined criteria. This, however, doesn’t guarantee any concession.

Skillsets are evolving. Time for you to do the same. Enroll for the course now!

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