Examine how AI is reshaping modern marketing in this comprehensive self-paced course. Start by developing a strong foundation in artificial intelligence, machine learning, and deep learning, and explore how these technologies influence today’s marketing environment.
Learn how AI is applied across content creation, advertising, social media, email marketing, SEO, and SEM. Gain hands-on experience with widely used AI platforms such as ChatGPT, IBM Watson, Salesforce Einstein, and Google tools, while learning how to assess results using performance metrics and return on investment analysis.
Through real-world examples and a final capstone project, you will put your skills into practice by creating an AI-driven marketing strategy that solves realistic marketing challenges.
What You Will Learn
- Leverage AI-based approaches to plan and execute marketing campaigns
- Apply AI across SEO, SEM, content creation, advertising, and analytics workflows
- Evaluate and measure the real-world impact of AI-powered marketing initiatives
- Complete a capstone project that demonstrates your skills and practical application
Course Outline
Section 1: Introduction to AI
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What are AI and Machine Learning?
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History of AI
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Types of AI: Narrow AI vs. General AI
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Basics of Machine Learning and Deep Learning
Section 2: AI in Marketing
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Role of AI in Marketing
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Benefits of Using AI in Marketing
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Key AI Marketing Applications
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Current Trends
Section 3: AI Platforms
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What is an AI Platform?
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Types of AI Platforms
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Popular AI Platforms (ChatGPT, IBM Watson, Salesforce Einstein, Google...)
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Comparison of AI Platforms
Section 4: AI in Content Marketing
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AI Role in Content Creation
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AI Role in Content Optimization
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Sentiment Analysis and Content Optimization
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AI-Driven Content Recommendations
Section 5: Chatbots and Virtual Assistants
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Building AI-Powered Chatbots
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Use Cases for Chatbots in Customer Service Marketing/Sales
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Popular Tools for Chatbot Development (Dialogflow, Microsoft Bot Framework)
Section 6: AI in Advertising
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Basics of Programmatic Advertising
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AI's Role in Real-Time Bidding
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Platforms for Programmatic Advertising
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AI for Personalized Ad Targeting
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What is Dynamic Creative Optimization?
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Top Dynamic Creative Optimization Tools
Section 7: AI in Social Media Marketing
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AI Tools for Social Media Monitoring
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Sentiment Analysis and Trend Prediction
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Automation in Social Media
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Using AI for Social Media Ad Targeting
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Case Studies and Best Practices
Section 8: AI in Email Marketing
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AI for Email Content Personalization
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Predictive Analytics for Email Marketing
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Tools for AI-Driven Email Marketing
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Automating Email Workflows
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A/B Testing and Optimization Using AI
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Case Studies and Best Practices
Section 9: AI in SEO
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Benefits of Using AI in SEO
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Keyword Analysis
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On-Page SEO
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Content Recommendations & Creation
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Content Optimization
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Technical SEO
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User Experience (UX) and Engagement
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Link Building and Analysis
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Local SEO
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AI SEO Tools
Section 10: AI in SEM
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Role of AI in SEM
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Keyword Research and Optimization
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Ad Creation and Optimization
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Bid Management
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Audience Targeting
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Performance Analysis and Reporting
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AI SEM Tools
Section 11: Measuring and Evaluating AI Impact
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Key Performance Indicators for AI in Marketing
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Measuring ROI of AI Initiatives
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Using AI with Campaign Analytical Tools and Dashboards
Section 12: Case Studies and Real-World Applications
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AI Marketing Success Stories
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Lessons Learned
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Future Trends and Innovations
Section 13: Capstone Project
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Project: Developing an AI-Driven Marketing Strategy
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Define Objectives and Goals
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Collect and Preprocess Data
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Apply AI Techniques to Solve Marketing Problems
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Present Findings and Strategic Recommendations
This course is available for 365 days. You can choose when to start your access period. Once you activate, you will have 365 days to complete it (access the course materials, quizzes, projects and videos). You may request one extension of seven (7) days. Other extension requests will be evaluated on a case-by-case basis. Videos are not downloadable.
