AI for Marketing Course
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- Live or Self-paced
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Book live on Noble DesktopSummary
Explore the transformative role of AI in modern marketing. This course begins with a foundational understanding of AI, machine learning, and deep learning. Discover the benefits and applications of AI in marketing, such as content creation, advertising, social media, email marketing, SEO, and SEM.
Gain hands-on experience with popular AI platforms like ChatGPT, IBM Watson, Salesforce Einstein, and Google. Learn to measure AI's impact on marketing efforts using key performance indicators and ROI analysis. Real-world case studies provide insights into successful AI strategies. The course concludes with a capstone project in which students develop an AI-driven marketing strategy, applying their knowledge to solve real marketing problems.
Prerequisites
Students should have a basic understanding of marketing, including traditional marketing terms and techniques, SEO, social media marketing, and analytics.
Curriculum
What you'll learn
- Leverage AI-driven strategy in your marketing campaigns
- Integrate AI into SEO, SEM, content, advertising, and analytics
- Measure the real-world impact of your AI marketing efforts
- Complete a capstone project to showcase your work
Course syllabus
Section 1: Introduction to AI
- What are AI and Machine Learning?
- History of AI
- Types of AI: Narrow AI vs. General AI
- Basics of Machine Learning and Deep Learning
Section 2: AI in Marketing
- Role of AI in Marketing
- Benefits of Using AI in Marketing
- Key AI Marketing Applications
- Current Trends
Section 3: AI Platforms
- What is an AI Platform?
- Types of AI Platforms
- Popular AI Platforms (ChatGPT, IBM Watson, Salesforce Einstein, Google...)
- Comparison of AI Platforms
Section 4: AI in Content Marketing
- AI Role in Content Creation
- AI Role in Content Optimization
- Sentiment Analysis and Content Optimization
- AI-Driven Content Recommendations
Section 5: Chatbots and Virtual Assistants
- Building AI-Powered Chatbots
- Use Cases for Chatbots in Customer Service Marketing/Sales
- Popular Tools for Chatbot Development (Dialogflow, Microsoft Bot Framework)
Section 6: AI in Advertising
- Basics of Programmatic Advertising
- AI's Role in Real-Time Bidding
- Platforms for Programmatic Advertising
- AI for Personalized Ad Targeting
- What is Dynamic Creative Optimization?
- Top Dynamic Creative Optimization Tools
Section 7: AI in Social Media Marketing
- AI Tools for Social Media Monitoring
- Sentiment Analysis and Trend Prediction
- Automation in Social Media
- Using AI for Social Media Ad Targeting
- Case Studies and Best Practices
Section 8: AI in Email Marketing
- AI for Email Content Personalization
- Predictive Analytics for Email Marketing
- Tools for AI-Driven Email Marketing
- Automating Email Workflows
- A/B Testing and Optimization Using AI
- Case Students and Best Practices
Section 9: AI in SEO
- Benefits of Using AI in SEO
- Keyword Analysis
- On-Page SEO
- Content Recommendations & Creation
- Content Optimization
- Technical SEO
- User Experience (UX) and Engagement
- Link Building and Analysis
- Local SEO
- AI SEO Tools
Section 10: AI in SEM
- Role of AI in SEM
- Keyword Research and Optimization
- Ad Creation and Optimization
- Bid Management
- Audience Targeting
- Performance Analysis and Reporting
- AI SEM Tools
Section 11: Measuring and Evaluating AI Impact
- Key Performance Indicators for AI in Marketing
- Measuring ROI of AI Initiatives
- Using AI with Campaign Analytical Tools and Dashboards
Section 12: Case Studies and Real-World Applications
- AI Marketing Success Stories
- Lessons Learned
- Future Trends and Innovations
Section 13: Capstone Project
- Project: Developing an AI-Driven Marketing Strategy
- Define Objectives and Goals
- Collect and Preprocess Data
- Apply AI Techniques to Solve Marketing Problems
- Present Findings and Strategic Recommendations
What's included
- Free course retake within one year to refresh the material and gain practice.
- Class recordings
Stated by the provider. Confirm what your tuition covers before enrolling.
Live classes
Choose dates and book your instructor-led class on nobledesktop.com.
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In-person or live online
Starts at 10:00 · America/New_York (EST); final session ends at 17:00 EST
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In-person or live online
Starts at 10:00 · America/New_York (EST); final session ends at 17:00 EST
-
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In-person or live online
Starts at 10:00 · America/New_York (EST); final session ends at 17:00 EST
-
–
In-person or live online
Starts at 10:00 · America/New_York (EDT); final session ends at 17:00 EDT
-
–
In-person or live online
Starts at 10:00 · America/New_York (EDT); final session ends at 17:00 EDT
-
–
In-person or live online
Starts at 10:00 · America/New_York (EDT); final session ends at 17:00 EDT
-
–
In-person or live online
Starts at 10:00 · America/New_York (EDT); final session ends at 17:00 EDT
-
–
In-person or live online
Starts at 10:00 · America/New_York (EST); final session ends at 17:00 EST
Confirm current dates and availability on Noble Desktop before booking.
Self-paced course
Learn through recorded lessons on your own schedule.
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.
- Tuition
- $975
- Course length
- 18 hours
- Schedule
- On your schedule
Explore the transformative impact of AI on modern marketing in this comprehensive course. Begin by building a foundational understanding of AI, machine learning, and deep learning, and examine how these technologies shape today’s marketing landscape.
Discover practical applications of AI in areas such as content creation, advertising, social media, email marketing, SEO, and SEM. Gain hands-on experience with leading AI platforms, including ChatGPT, IBM Watson, Salesforce Einstein, and Google tools, while learning to evaluate performance using key metrics and ROI analysis. Through real-world case studies and a final capstone project, you’ll apply your knowledge to design an AI-driven marketing strategy that addresses genuine marketing challenges.
Self-paced prerequisites
Students should have a basic understanding of marketing, including traditional marketing terms and techniques, SEO, social media marketing, and analytics.
Self-paced curriculum
What you'll learn self-paced
- Leverage AI-driven strategy in your marketing campaigns
- Integrate AI into SEO, SEM, content, advertising, and analytics
- Measure the real-world impact of your AI marketing efforts
- Complete a capstone project to showcase your work
Self-paced syllabus
Section 1: Introduction to AI
- What are AI and Machine Learning?
- History of AI
- Types of AI: Narrow AI vs. General AI
- Basics of Machine Learning and Deep Learning
Section 2: AI in Marketing
- Role of AI in Marketing
- Benefits of Using AI in Marketing
- Key AI Marketing Applications
- Current Trends
Section 3: AI Platforms
- What is an AI Platform?
- Types of AI Platforms
- Popular AI Platforms (ChatGPT, IBM Watson, Salesforce Einstein, Google...)
- Comparison of AI Platforms
Section 4: AI in Content Marketing
- AI Role in Content Creation
- AI Role in Content Optimization
- Sentiment Analysis and Content Optimization
- AI-Driven Content Recommendations
Section 5: Chatbots and Virtual Assistants
- Building AI-Powered Chatbots
- Use Cases for Chatbots in Customer Service Marketing/Sales
- Popular Tools for Chatbot Development (Dialogflow, Microsoft Bot Framework)
Section 6: AI in Advertising
- Basics of Programmatic Advertising
- AI's Role in Real-Time Bidding
- Platforms for Programmatic Advertising
- AI for Personalized Ad Targeting
- What is Dynamic Creative Optimization?
- Top Dynamic Creative Optimization Tools
Section 7: AI in Social Media Marketing
- AI Tools for Social Media Monitoring
- Sentiment Analysis and Trend Prediction
- Automation in Social Media
- Using AI for Social Media Ad Targeting
- Case Studies and Best Practices
Section 8: AI in Email Marketing
- AI for Email Content Personalization
- Predictive Analytics for Email Marketing
- Tools for AI-Driven Email Marketing
- Automating Email Workflows
- A/B Testing and Optimization Using AI
- Case Students and Best Practices
Section 9: AI in SEO
- Benefits of Using AI in SEO
- Keyword Analysis
- On-Page SEO
- Content Recommendations & Creation
- Content Optimization
- Technical SEO
- User Experience (UX) and Engagement
- Link Building and Analysis
- Local SEO
- AI SEO Tools
Section 10: AI in SEM
- Role of AI in SEM
- Keyword Research and Optimization
- Ad Creation and Optimization
- Bid Management
- Audience Targeting
- Performance Analysis and Reporting
- AI SEM Tools
Section 11: Measuring and Evaluating AI Impact
- Key Performance Indicators for AI in Marketing
- Measuring ROI of AI Initiatives
- Using AI with Campaign Analytical Tools and Dashboards
Section 12: Case Studies and Real-World Applications
- AI Marketing Success Stories
- Lessons Learned
- Future Trends and Innovations
Section 13: Capstone Project
- Project: Developing an AI-Driven Marketing Strategy
- Define Objectives and Goals
- Collect and Preprocess Data
- Apply AI Techniques to Solve Marketing Problems
- Present Findings and Strategic Recommendations