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AI for Marketing Course

Noble Desktop logo via Noble Desktop Affiliated with Course Report

Apply AI to existing marketing work in Noble Desktop's AI for Marketing course. The curriculum examines uses across content, search, advertising, social media, and analytics, with attention to measuring results. You develop an AI-supported marketing strategy, connecting tool choices to campaign goals and the work needed to assess performance.

What's included with live classes

  • Free course retake within one year to refresh the material and gain practice.
  • Class recordings

Overview

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.

Topics included

Compare live and self-paced learning

Schedule & enrollment

Find dates that fit your schedule, then book on Noble Desktop.

Book live on Noble Desktop
Live tuition
$975
Course length
18 hours

All class times are Eastern (ET).

  • Dates

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    Class time

    Starts at 10am ET

    Final session ends at 5pm ET

    Attend

    In-person or live online

  • Dates

    –

    Class time

    Starts at 10am ET

    Final session ends at 5pm ET

    Attend

    In-person or live online

  • Dates

    –

    Class time

    Starts at 10am ET

    Final session ends at 5pm ET

    Attend

    In-person or live online

  • Dates

    –

    Class time

    Starts at 10am ET

    Final session ends at 5pm ET

    Attend

    In-person or live online

  • Dates

    –

    Class time

    Starts at 10am ET

    Final session ends at 5pm ET

    Attend

    In-person or live online

  • Dates

    –

    Class time

    Starts at 10am ET

    Final session ends at 5pm ET

    Attend

    In-person or live online

  • Dates

    –

    Class time

    Starts at 10am ET

    Final session ends at 5pm ET

    Attend

    In-person or live online

  • Dates

    –

    Class time

    Starts at 10am ET

    Final session ends at 5pm ET

    Attend

    In-person or live online

Confirm current dates and availability on Noble Desktop before booking. Enrollment opens in a new tab.

Self-paced tuition & enrollment

Learn through recorded lessons on your own schedule.

Tuition
$975
Course length
18 hours
Format
Self-paced online

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.

Prefer to enroll directly? Open the course website.

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 Studies 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

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.

View self-paced tuition & enrollment

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 Studies 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

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Is this course right for you?

A basic understanding of marketing, SEO, social media, and analytics is expected. Choose this course to add AI to existing skills. Compare the AI Marketing Bootcamp if you also want foundational marketing training and broader portfolio development.

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