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AI+ Marketing Practitioner™

Course code: NPAP240

Formerly known as AI+ Marketing™

Unlock Marketing Potential: Employ Advanced AI Technologies

  • AI-Powered Marketing: Explore predictive analytics, customer journey mapping, and marketing automation techniques.
  • Strategic Impact: Develop data-driven, personalized marketing strategies with measurable business impact.
  • Future-Focused Tools: Covers chatbots, AI-generated content, and trend forecasting methodologies.
  • ROI & Retention: Strengthen lead generation, customer retention, and drive continuous marketing innovation.
75 EUR

91 EUR including VAT

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Course dates

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 285 EUR

Register

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 75 EUR

Register

Starting
date		 Place
Type Course
duration		 Language Price without VAT
G Upon request Self-paced 8 hours en 285 EUR Register
G Upon request Self-paced 8 hours en 75 EUR Register
G Guaranteed course

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Course description

AI-Driven Marketing Strategy Development

Students will learn to create complete marketing plans using AI. This involves AI-driven content strategy, customization, and analytics to analyse market data, identify target audiences, and create customized marketing campaigns.

AI-driven A/B testing

Participants will learn to build trials, analyse outcomes, and iterate marketing strategies to increase performance.

Data Visualization

The course may teach marketing analytics insights visualization. Students will learn to design visually appealing dashboards and reports to explain complicated data and aid data-driven decision-making.

Risk Management and Compliance

Students will learn about risk management and compliance. This includes identifying and mitigate data security, regulatory compliance, and reputation management issues to ensure legal and ethical marketing activities. has context menu

Course structure

Course Overview

Module 1: Introduction to Artificial Intelligence (AI) in Marketing

  • 1.1 Understanding AI and Its Core Components
  • 1.2 AI Technologies Transforming Marketing
  • 1.3 Applications of AI in Marketing

Module 2: AI-Driven Content Strategy and Personalization

  • 2.1 Introduction to AI in Content Marketing
  • 2.2 Personalization Through AI
  • 2.3 AI in Search and Content Discovery
  • 2.4 Implementing AI in Your Content Strategy

Module 3: AI in Social Media and Email Marketing

  • 3.1 AI Integration in Social Media Marketing
  • 3.2 Leveraging AI for Email Marketing Success

Module 4: Leveraging AI for Marketing Analytics

  • 4.1 Introduction to AI-powered Analytics
  • 4.2 Predictive Analytics and Consumer Behavior
  • 4.3 Measuring and Optimizing Campaign Effectiveness
  • 4.4 Ethical AI and Responsible Marketing
  • 4.5 Future Trends in AI-driven Marketing

Module 5: Ethical Considerations in AI Marketing

  • 5.1 Ethical AI Use in Marketing
  • 5.2 Regulatory Compliance and Standards
  • 5.3 Implementing Ethical AI Marketing Practices

Module 6: Crafting an AI-Driven Marketing Strategy

  • 6.1 Strategic Planning with AI
  • 6.2 Implementation of AI in Marketing Strategies
  • 6.3 Creating a Scalable AI Marketing Plan

Module 7: AI Integration in Multichannel Marketing Campaigns

  • 7.1 Integrating AI in Multichannel Strategies
  • 7.2 Measuring the Effectiveness of AI-Enhanced Campaigns
  • 7.3 Future Trends in AI and Multichannel Marketing

Optional Module: AI Agents for Marketing

  • What Are AI Agents?
  • Applications and Trends for AI Agents in Marketing
  • How Does an AI Agent Work?
  • Core Characteristics of AI Agents
  • Importance of AI Agents
  • Significance of AI Agents in Marketing Industry
  • Types of AI Agents

Prerequisites

  • A solid understanding of core marketing principles including segmentation, branding, and marketing mix.
  • Familiarity with digital marketing tools such as CRM software and analytics platforms.
  • A basic grasp of strategic decision-making within marketing contexts, including how strategies are developed and measured.
  • A proactive interest in exploring how artificial intelligence can reshape marketing practices and improve overall efficiency.

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