Nairobi, Kenya

The Digital Marketing with Artificial Intelligence (AI) Training Workshop equips marketing professionals, business owners, entrepreneurs, communication officers and digital marketing teams with practical skills to integrate AI into modern marketing strategies, campaigns and customer engagement activitie

Artificial intelligence is transforming how organisations attract customers, develop content, optimise websites, manage social media, deliver personalised advertising, automate marketing workflows and measure campaign performance. Generative AI, predictive analytics, conversational AI and marketing automation now enable organisations to improve productivity, understand customer behaviour and make more informed marketing decisions.

Course objectives

  • Develop an AI-powered digital marketing strategy aligned with organisational objectives, target audiences, brand positioning and measurable business outcomes.
  • Establish responsible AI marketing practices covering data privacy, content accuracy, copyright, brand governance, advertising compliance and performance measurement.
  • Design, manage and optimise integrated digital marketing campaigns using appropriate advertising, automation and analytics platforms.
  • Use customer data, marketing analytics and AI-assisted insights to improve audience segmentation, personalisation, lead generation and conversion rates.
  • Apply AI tools to keyword research, SEO, content development, social media planning, email marketing and digital advertising.

Who should attend

Digital marketing professionals, marketing managers, social media managers, SEO specialists, content creators, communications officers, public relations professionals, advertising executives, brand managers, business owners, entrepreneurs, e-commerce managers, sales and business development teams, customer experience managers, marketing consultants, freelancers, NGO communication officers, public sector communication teams, corporate communications departments, website administrators, digital agency teams, tourism and hospitality marketers, small and medium-sized enterprise managers.

Course content

  • Module 1: Foundations of AI-Powered Digital Marketing Digital marketing concepts and channels, the evolution of AI in marketing, traditional automation versus machine learning and generative AI, large language models and AI assistants, predictive analyti
  • Module 2: Digital Marketing Strategy, Customer Personas and Market Research Developing digital marketing objectives, aligning campaigns with business goals, market and competitor research, audience profiling and customer personas, customer needs and pain
  • Module 3: AI-Powered Search Engine Optimisation (SEO) Search engine optimisation fundamentals, keyword research and search intent, identifying primary and secondary keywords, topic clustering and content planning, competitor SEO analysis, AI-assisted con
  • Module 4: Generative AI for Content Marketing and Copywriting Developing content marketing strategies, AI-assisted topic research, prompt engineering for marketing content, blog and article development, website landing page copy, product and service desc
  • Module 5: AI-Powered Social Media Marketing and Community Management Social media strategy and platform selection, AI-assisted audience research, developing social media content pillars, generating post ideas and captions, creating platform-specific cont
  • Module 6: AI-Powered Graphic Design, Video and Multimedia Marketing Principles of visual communication, AI-assisted design briefs, creating marketing graphics and promotional materials, image generation and editing, branded templates and visual consisten
  • Module 7: AI-Driven Digital Advertising and Paid Campaign Management Digital advertising principles, paid search and paid social campaigns, Google Ads campaign structure, Meta advertising across Facebook and Instagram, audience targeting and segmentation
  • Module 8: AI-Powered Email Marketing, CRM and Marketing Automation Email marketing strategy, permission-based subscriber acquisition, audience segmentation, newsletter development, AI-assisted subject lines and email copy, personalised messaging, automat
  • Module 9: AI for Lead Generation, Conversion Rate Optimisation and Sales Enablement Digital lead generation strategies, lead magnets and landing pages, forms and conversion pathways, AI-assisted landing page copy, customer journey friction analysis, lead
  • Module 10: AI Chatbots, Conversational Marketing and Customer Experience Conversational AI fundamentals, rule-based chatbots versus generative AI assistants, website and messaging platform chatbots, automated responses to customer enquiries, product and
  • Module 11: Marketing Analytics, Attribution and AI-Assisted Decision-Making Digital marketing performance indicators, website traffic and engagement analysis, campaign reach and conversion metrics, Google Analytics 4 fundamentals, Google Search Console p
  • Module 12: E-Commerce Marketing, Personalisation and Customer Retention E-commerce marketing fundamentals, product feed optimisation, AI-generated product descriptions, product discovery and recommendation systems, customer segmentation by behaviour and
  • Module 13: Influencer Marketing, Online Reputation and Brand Intelligence Influencer and creator marketing strategies, identifying relevant creators, audience fit and engagement quality, AI-assisted influencer research, campaign brief development, influe
  • Module 14: AI Marketing Governance, Privacy, Copyright and Ethical Advertising Responsible AI principles for marketing, personal data protection and lawful data processing, consent and preference management, customer data minimisation, handling confident
  • Module 15: Capstone — Developing an Integrated AI-Powered Digital Marketing Campaign Selecting a product, service, organisation or brand for the project, conducting AI-assisted market and competitor research, defining campaign objectives and target aud

General notes

  • This practical workshop explores AI-powered search engine optimisation (SEO), content marketing, social media marketing, paid advertising, email marketing, customer segmentation, lead generation, conversion optimisation and marketing analytics. Participants learn how to use AI tools to research audiences, develop content strategies, produce marketing assets, optimise campaigns, analyse performance and improve return on marketing investment.
  • The programme also addresses responsible AI use, data privacy, copyright, brand consistency, advertising transparency and the risks of inaccurate or misleading AI-generated content. Through practical exercises and a capstone project, participants will develop an AI-powered digital marketing strategy, campaign calendar, advertising plan and performance measurement framework suitable for their organisation or clients.
  • Practical Exercises and Case Studies AI marketing strategy: Develop a digital marketing strategy for a business, public institution, NGO or professional service provider. SEO content project: Conduct keyword research, prepare a content brief and optimise a website landing page for a defined search intent. Social media campaign: Create a seven-day content calendar with platform-specific posts, visual briefs and calls to action. Paid advertising simulation: Develop a Google Ads or Meta Ads campaign structure with audiences, budget assumptions, creative variations and conversion objectives. Email automation exercise: Design a welcome sequence and lead-nurturing workflow with segmentation and follow-up triggers. Marketing analytics exercise: Interpret campaign data, calculate conversion rates and customer acquisition costs, and recommend optimisation actions. AI governance exercise: Review a proposed campaign for privacy, copyright, inaccurate claims, brand risks and appropriate disclosure. Capstone project: Produce an integrated AI-powered digital marketing campaign, measurement framework and implementation roadmap.
  • Website and marketing analytics: Google Analytics 4, Google Tag Manager, Looker Studio, Microsoft Clarity.
  • Social media management and listening: Hootsuite, Sprout Social, Buffer, Brandwatch, platform-native analytics.
  • Digital advertising: Google Ads, Meta Ads Manager, LinkedIn Campaign Manager, TikTok Ads Manager.
  • SEO and search intelligence: Semrush, Ahrefs, Google Search Console, Google Keyword Planner, Screaming Frog SEO Spider.

Frequently asked questions

The workshop is suitable for marketing managers, digital marketers, SEO specialists, social media managers, content creators, business owners, entrepreneurs, communication professionals, advertising teams, e-commerce managers and consultants seeking to improve marketing performance using AI.
No programming experience is required. Basic familiarity with computers and digital marketing is helpful, but the workshop introduces the relevant AI concepts and tools through guided, practical exercises.
The course covers SEO, content marketing, social media, graphic and video content, paid advertising, email marketing, marketing automation, lead generation, chatbots, e-commerce marketing, analytics and campaign optimisation.
Yes. Participants practise AI-assisted research, content development, campaign planning, keyword research, advertising creative development, customer segmentation and performance analysis using relevant tools.
Yes. It includes Google Ads, Meta Ads and other relevant digital advertising platforms, covering campaign planning, audience targeting, creative testing, conversion tracking, budget management and performance optimisation.
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