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AI for Marketing Course

Discover how to integrate AI into your digital marketing strategy with this comprehensive course. Learn to apply AI-powered tools to optimize SEO and SEM, refine social media campaigns, analyze performance data, and improve the effectiveness of paid advertising.

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  • 18 and older
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  • Self-paced, start anytime
  • 18 clock hours

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Class Description

Description

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.

Prerequisite

Students should have a basic understanding of marketing, including traditional marketing terms and techniques, SEO, social media marketing, and analytics.

What You'll Learn at a Glance

  • Leverage AI-driven strategy in your marketing campaigns
  • Integrate AI into SEO, SEM, content, advertising, and analytics
  • Meaure the real-world impact of your AI marketing efforts
  • Complete a capstone project to showcase your work

Course Syllabus

  • Section 1: Introduction to AI
  • Section 2: AI in Marketing
  • Section 3: AI Platforms
  • Section 4: AI in Content Marketing
  • Section 5: Chatbots and Virtual Assistants
  • Section 6: AI in Advertising
  • Section 7: AI in Social Media Marketing
  • Section 8: AI in Email Marketing
  • Section 9: AI in SEO
  • Section 10: AI in SEM
  • Section 11: Measuring and Evaluating AI Impact
  • Section 12: Case Studies and Real-World Applications
  • Section 13: Capstone Project

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

Refund Policy

  • Students may cancel up to 14 days before the class/program start date and receive a refund, less the registration fee (10% of the undiscounted course price). 
  • Cancellations within 14 days are not permitted, but students may reschedule up to three business days before the class start date.
  • For cancellations and reschedules, please email us at [email protected]

In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.

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Noble Desktop

Noble Desktop is a reputable New York-based training institute known for offering a wide range of creative and technical courses, including web development, design, coding, and digital marketing. With a strong emphasis on hands-on learning and industry-relevant skills, Noble Desktop equips individuals with the knowledge and expertise needed to excel in today's competitive job market.

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