Master in Digital Marketing with AI Course: Become a Certified Digital Marketing Pro
For Freshers or individuals with foundational knowledge of Digital Marketing
Build a Future-Proof Career in Digital Marketing
Skillway Academy In this Master in Digital Marketing with AI course, you will learn how to leverage Artificial Intelligence tools and techniques to supercharge your digital marketing efforts. This program blends traditional digital marketing concepts with advanced AI-driven strategies, focusing on automation, customer insights, personalization, and predictive analytics. By the end of the course, you’ll be equipped to harness AI in optimizing your campaigns, improving customer engagement, and boosting ROI
Tools & Technologies Covered:
AI Tools for Marketing: Google AI, Hootsuite, Jasper, Copy.ai, HubSpot, Marketo, ActiveCampaign.
Analytics Tools: Google Analytics, IBM Watson, SEMrush, Moz.
Chatbot Tools: ManyChat, Drift, Tidio, Intercom.
Content Tools: Curata, Scoop.it, Clearscope.
SEO Tools: SEMrush, Moz, Ahrefs.
Week 1: Introduction to Digital Marketing & AI Fundamentals
Saturday (Day 1): Overview of Digital Marketing
Digital Marketing Channels: SEO, SEM, Social Media Marketing, Content Marketing, Email Marketing.
Key Metrics in Digital Marketing: Impressions, CTR, Conversion Rates, Bounce Rates.
Introduction to Marketing Automation: Tools like HubSpot, Marketo, ActiveCampaign.
Sunday (Day 2): Artificial Intelligence in Digital Marketing
What is AI in Marketing?: Use cases and trends in AI-driven marketing.
AI Tools Overview: AI chatbots, predictive analytics, personalized content.
Introduction to Data Science: Basic data analysis and how it supports AI in marketing.
Week 2: AI-Powered Customer Insights & Personalization
Saturday (Day 3): Customer Segmentation Using AI
Traditional vs AI-Driven Segmentation: Behavior-based, demographic, and psychographic segmentation.
Clustering Algorithms (K-Means, DBSCAN): How AI models segment customer data.
Building AI Models for Customer Segmentation: Hands-on with Python, scikit-learn.
Sunday (Day 4): Personalization in Digital Marketing
Why Personalization Matters: Higher engagement and conversion rates.
Personalization Techniques: Content, product recommendations, email campaigns.
AI in Content Personalization: Use of algorithms for content suggestion (Netflix, Amazon-style personalization).
Week 3: AI in Social Media Marketing
Saturday (Day 5): AI for Social Media Strategy
Social Listening Tools: How AI-powered tools monitor brand sentiment and trends (e.g., Brandwatch, Sprout Social).
AI-Driven Social Media Analytics: Predictive analytics for user engagement.
Case Studies: AI in successful social media campaigns.
Sunday (Day 6): Social Media Automation with AI
AI for Content Creation: Tools like Copy.ai, Jasper for generating copy.
Chatbots and Customer Support: Using AI chatbots for customer interaction and lead generation.
AI-Driven Scheduling: Automating posting schedules with AI.
Week 4: AI in SEO and SEM
Saturday (Day 7): AI for Search Engine Optimization (SEO)
How AI is Transforming SEO: AI tools that help with keyword research and content optimization.
On-Page and Off-Page SEO with AI: Optimizing content, backlinks, and keyword rankings.
AI Tools for SEO: SEMrush, Moz, Clearscope, and their AI features.
Sunday (Day 8): AI in Paid Search Marketing (SEM)
AI for PPC Campaigns: How AI is revolutionizing Google Ads, Facebook Ads, and other paid platforms.
Automated Bidding & Budget Management: Using AI for bidding optimization.
Predictive Analytics for SEM: Forecasting trends and conversion optimization using AI.
Week 5: AI for Email Marketing & Content Marketing
Saturday (Day 9): AI in Email Marketing
Personalized Email Campaigns: Segmenting customers and personalizing email content.
Predictive Email Marketing: AI-driven email timing and content optimization.
Automation Tools: Using AI tools like Mailchimp, ActiveCampaign, and HubSpot for email marketing automation.
Sunday (Day 10): AI for Content Creation and Distribution
AI-Driven Content Creation: Automating blog posts, social media copy, and more.
AI Content Curation: Tools like Curata and Scoop.it to aggregate and distribute content.
AI in Content Strategy: Analyzing consumer behavior to create content that resonates with the audience.
Week 6: AI for Customer Experience & Chatbots
Saturday (Day 11): AI-Powered Customer Experience
Personalized Web Experience: How AI can optimize web design for specific audiences.
Recommendation Systems: How Amazon, Netflix, and Spotify use AI to suggest products/content.
Real-time Personalization: Dynamic website content, offers, and suggestions based on AI.
Sunday (Day 12): AI-Powered Chatbots & Conversational Marketing
Building Chatbots for Customer Interaction: Tools like ManyChat, Tidio, and Drift.
Using AI for Lead Qualification: Automating lead nurturing with chatbots and virtual assistants.
Case Study: How businesses use AI-driven chatbots for customer support and lead generation.
Week 7: Advanced Analytics & Predictive Marketing with AI
Saturday (Day 13): Predictive Analytics in Marketing
Overview of Predictive Analytics: Using historical data to predict future behaviors.
AI Models for Predictive Marketing: Regression, classification, and clustering models.
Predictive Analytics Tools: Using AI tools like Google Analytics and IBM Watson for predictive insights.
Sunday (Day 14): Advanced Campaign Optimization with AI
AI for Real-Time Campaign Optimization: Ad and content testing using AI.
Automated A/B Testing: Using AI to run and analyze A/B tests faster.
Campaign Performance Analysis: Evaluating AI-driven campaigns and adjusting in real-time.
Week 8: AI Tools, Strategy Implementation & Capstone Project
Saturday (Day 15): AI Tools for Digital Marketing
AI Tools Overview: A comprehensive review of AI tools for SEO, SEM, Social Media, Content Creation, etc.
Integrating AI Tools into Marketing Workflows: Best practices for using AI in your daily marketing tasks.
AI in Multichannel Campaigns: How to run integrated campaigns across channels with AI tools.
Sunday (Day 16): Capstone Project and Course Review
Capstone Project Work: Apply AI to a real-world digital marketing problem. Develop a marketing strategy using AI tools.
Project Presentation: Present your project to peers and instructors, showcasing how AI helped optimize the digital marketing strategy.
Final Review and Q&A: Reflect on key learnings, industry applications, and future trends in AI and digital marketing.
Course Certification:
Upon successful completion of the course and the Capstone Project, participants will receive a Master in Digital Marketing with AI certification. This certification is designed to demonstrate your expertise in combining digital marketing strategies with AI technologies to improve campaign performance and customer engagement.
Career Opportunities:
Graduates of this course will be well-equipped to pursue roles such as:
AI Digital Marketing Specialist
Digital Marketing Manager
AI Marketing Consultant
SEO/SEM Specialist
Content Marketing Strategist
PPC Campaign Manager
FAQ'S
Frequently asked questions
This course is ideal for marketing professionals, digital marketing enthusiasts, business owners, and anyone interested in integrating AI with digital marketing strategies to enhance campaign performance.
The course typically takes 6 months to complete. You can go at your own pace, and you’ll have lifetime access to all course materials.
Reach Us: Skillway Academy through:
Email: info@skillwayacademy.in
Phone: Contact numbers provided on the +917980991726
Online Form: Use the contact form available on their website Contact Us for inquiries.
No, We will learn Basic knowledge of digital marketing concepts and tools is recommended, but you don’t need to be an AI expert. The course will guide you through how AI enhances digital marketing.
Yes! Upon successful completion of all modules and the capstone project, you’ll receive a Certificate of Completion that you can add to your resume and LinkedIn profile.
Skillway Academy accepts various payment methods, including:
Online Payments: Credit/Debit cards, Net Banking
Bank Transfers: Details provided upon request
Offline Payments: Cash or Cheque at the academy
For specific payment instructions, please refer to the Skillway Academy website or contact their support team.
Enrollment can be completed through:
Online Registration: Fill out the enrollment form available on the Skillway Academy website.
Direct Contact: Reach out via email or phone to express your interest and receive assistance.
You will need a laptop with internet access. Most tools and platforms used in the course offer free trials or are open-source.