Artificial Intelligence and Digital Marketing – Free Level 1 Course

Oxford Home Study Centre offers flexible online learning for people who want to build practical knowledge at their own pace. This free Level 1 course provides a concise introduction to the relationship between artificial intelligence and modern digital marketing, with a clear focus on personalisation, predictive insight and automation. Learners can also browse all online courses or explore the wider digital marketing course collection.

Artificial intelligence is increasingly used to support decisions across the digital customer journey. AI-enabled systems can help marketers identify patterns in audience behaviour, tailor messages, automate routine activity and interpret campaign data more efficiently. This introductory programme explains those applications in accessible language without assuming previous technical or marketing experience.

The course is designed as a starting point rather than an advanced digital marketing programme. Across three focused modules, learners examine how AI fits into digital marketing, how personalisation can support customer engagement, and how predictive analytics and automation can inform campaign planning and optimisation. Its 20-hour format is suited to beginners, business owners, aspiring marketers and existing professionals who want a structured introduction to AI-assisted marketing.

What You Will Learn

Explain the role of artificial intelligence in contemporary digital marketing.
Recognise common ways AI can support targeting, personalisation and customer engagement.
Understand how behavioural and preference data can inform more relevant marketing activity.
Describe the purpose of predictive analytics in anticipating trends and customer actions.
Identify marketing tasks that can be supported or streamlined through automation.
Assess AI-assisted marketing outputs with human judgement rather than treating automated recommendations as inherently correct.

Who Is This Course For?

This Level 1 course is intended for learners who want an accessible introduction to AI in a marketing context. It may be useful for:

Beginners exploring digital marketing for the first time.
Small business owners who want to understand how AI may support online promotion.
Marketing assistants and junior team members building awareness of AI-enabled workflows.
Freelancers, content creators and entrepreneurs interested in customer engagement and automation.
Professionals from other fields who want a short overview before moving into deeper digital marketing study.

Flexible, Self-Paced Online Study

The course is delivered online and is designed for flexible, self-paced study. With approximately 20 hours of learning, it can be fitted around work, family or other commitments. There are no formal entry requirements, making it an accessible first step for learners who are new to both AI and digital marketing.

For other no-cost options in the same subject area, explore OHSC's free digital marketing courses. Learners who want substantially broader study can compare the Digital Marketing QLS Level 3 certificate programme, a 200-hour route covering strategy, SEO, paid media and social media.

Continue Learning About AI and Digital Marketing

For a broader explanation of the topic, read OHSC's guide to artificial intelligence and digital marketing. Learners who want a narrower specialism can also explore AI in SEO or AI in Social Media & Advertising.

Frequently Asked Questions

Is Artificial Intelligence and Digital Marketing suitable for beginners?

Yes. This is a Level 1 introductory course and does not assume previous experience in artificial intelligence or digital marketing.

How long does the course take?

The course duration is approximately 20 hours. It is designed for self-paced online study, so learners can organise their study schedule around existing commitments.

How many modules are included?

The course contains three modules covering an introduction to AI in digital marketing, personalised marketing and customer engagement, and predictive analytics and automation.

Is the course free?

Yes. The study component is free. Certificate options may involve a fee, so learners should check the current certificate information before ordering.

What can I study next?

Learners who want broader digital marketing study can progress to the 200-hour Digital Marketing QLS Level 3 certificate programme. Those interested in a specific AI-related marketing area can explore AI in SEO or AI in Social Media & Advertising.

By the end of this course the learner will be able to:

Understand the role of artificial intelligence in digital marketing and its impact on modern marketing practices.
Identify key AI technologies used in digital marketing, including machine learning, natural language processing, and predictive analytics.
Learn to design and implement AI-driven marketing strategies for personalized customer engagement.
Develop the skills to apply AI tools for automating marketing tasks such as email campaigns, social media management, and content creation.
Gain practical experience with AI tools to forecast customer behaviours and enhance targeted marketing campaigns.
Complete a comprehensive project to demonstrate your understanding and application of AI in digital marketing.

Free Study and Certificate Options

There is no enrolment fee for this course and the learning materials are available online. Certificate options are separate from the free study experience and may involve a fee. Before ordering, review the current certificate claiming information for available formats, charges and administrative details.

COURSE CONTENT

Topics Covered in the Course

Course Syllabus

Module 1: Introduction to AI in Digital Marketing

Begin with the core relationship between artificial intelligence and digital marketing. This module explains how AI can support automation, customer insight, audience targeting and data-informed decision-making. Learners consider where AI can add value within a marketing workflow and why human oversight remains important when interpreting automated outputs.

Module 2: AI for Personalised Marketing and Customer Engagement

Explore how AI-enabled systems can analyse customer behaviour, preferences and interaction patterns to support more relevant communications. The module introduces segmentation, personalisation and engagement concepts, showing how marketers can adapt messages and experiences to different audience needs while maintaining appropriate judgement around data use and customer trust.

Module 3: Predictive Analytics and Automation in Digital Marketing

Examine how predictive techniques can be used to identify patterns and anticipate likely customer actions, and how automation can streamline repetitive marketing activity. Learners consider practical applications such as campaign timing, audience prioritisation and workflow automation, alongside the importance of monitoring performance and reviewing AI-supported decisions.

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