Loading…
Loading…
AI for Marketing: Practical Enterprise AI Capability Building
A practical program that helps marketing professionals leverage AI across the entire marketing lifecycle, covering strategy, content creation, customer engagement, campaign optimization, analytics and automation. It is built on AI Literacy, Prompt Engineering, Context Engineering and Responsible AI.
Six capabilities this program is built to give every marketer who creates content, runs campaigns and proves ROI.
Produce blogs, social content, ad copy and campaign assets without sacrificing quality.
Build personas, segment audiences and map customer journeys with AI-driven insight.
Improve SEO, keyword targeting and social performance using AI-assisted optimization.
Design lead nurturing, email workflows and chatbot journeys that scale customer engagement.
Build dashboards and attribution models that connect marketing activity to business results.
Apply Responsible AI principles to safeguard copyright, customer trust and brand consistency.
How the program moves you from foundational AI skills to a roadmap you can bring back to your marketing team.
Understand AI fundamentals and how they're reshaping marketing and customer engagement.
See AI applied to content creation, SEO, personalization and analytics.
Apply Prompt Engineering and Context Engineering through realistic marketing scenarios.
Solve practical challenges like content creation, lead generation and campaign optimization.
Redesign marketing processes collaboratively while exploring governance and brand consistency.
Present an AI-Enabled Marketing Transformation Roadmap.
Understand AI fundamentals and how they're reshaping marketing and customer engagement.
See AI applied to content creation, SEO, personalization and analytics.
Apply Prompt Engineering and Context Engineering through realistic marketing scenarios.
Solve practical challenges like content creation, lead generation and campaign optimization.
Redesign marketing processes collaboratively while exploring governance and brand consistency.
Present an AI-Enabled Marketing Transformation Roadmap.
The real marketing scenarios you'll practice, pulled directly from the program's applied curriculum.
Develop a complete marketing transformation roadmap addressing lead generation, campaign performance or engagement, spanning content strategy, automation, analytics and governance.
The program focuses on solving marketing problems with the right capability, not on memorizing a list of tools.
ChatGPT Enterprise · Microsoft 365 Copilot · Gemini · Claude
HubSpot AI · Salesforce Marketing Cloud · Adobe Marketo Engage · Zoho · Mailchimp AI
Canva Magic Studio · Adobe Firefly · Jasper AI · Copy.ai · Synthesia
Semrush · Ahrefs · Surfer SEO · Google Analytics 4 · Google Ads AI
Hootsuite · Buffer AI · Sprout Social · Brandwatch · Intercom AI
Power Automate · Zapier · Make · Notion AI · Power BI · Tableau · Looker Studio · Fabric
A preview of the ten modules inside the program. See the full breakdown in the detailed curriculum.
AI, Generative AI, AI agents and how AI is transforming marketing and customer engagement.
Structured prompting and contextual frameworks for high-quality marketing content and strategies.
Ethics, copyright, IP, customer privacy, brand governance, transparency and responsible content generation.
Automate content planning, campaign documentation, communications and marketing collaboration.
Blogs, social media, email campaigns, ad copy, video scripts and personalized marketing content at scale.
Personas, audience segmentation, customer journey mapping and personalized campaigns.
SEO, keyword research, content optimization, social media planning and digital advertising.
AI-powered lead nurturing, email automation, chatbots and omnichannel marketing experiences.
AI-powered dashboards, campaign analytics, predictive insights, attribution and executive reporting.
AI adoption roadmap, governance, change management and scalable marketing strategy; transformation strategy.
AI applications across talent acquisition, employee experience, policy drafting, workforce analytics, and responsible HR governance.
Design customized learning pathways, instructional assets, skills taxonomies, and adaptive learning experiences with AI.
Enhance financial analysis, variance commentary, forecasting models, policy compliance, and audit preparation using AI.
Accelerate account research, proposal drafting, RFP responses, discovery prep, and customer intelligence.
Optimize vendor evaluations, SOP creation, root cause analysis, process documentation, and operational reporting.
Optimize project planning, risk tracking, stakeholder communication, and resource allocation using AI.
Elevate customer support with AI-driven inquiry resolution, sentiment analysis, and automated knowledge retrieval.
Accelerate code generation, architecture design, technical documentation, and code review processes with AI.
Enhance product strategy, user research synthesis, roadmap planning, and feature prioritization using AI.
Streamline contract review, regulatory research, policy drafting, and compliance monitoring with AI.
Improve vendor evaluation, contract analysis, spend analytics, and supply chain risk assessment with AI.
Supercharge data cleaning, trend identification, hypothesis generation, and automated reporting with AI.
Generic AI training is failing the enterprise. A finance director, an HR manager, and a software engineer require fundamentally different AI capabilities. Discover why role-based enablement—anchored in actual workflows, decisions, and domain expertise—is the only sustainable path to enterprise AI value.
Most enterprises conflate AI literacy (knowing what AI is) with AI capability (knowing how to use AI effectively in your role). This confusion leads to generic training that fails to change behaviour or drive ROI. Discover how to build true AI capability.
Enterprise AI initiatives are failing at scale not due to technological flaws, but because traditional IT training models are entirely unsuited for probabilistic AI tools. Discover why a human-centred capability building approach is essential.
Every module, topic, activity and practical application, laid out in the detailed curriculum.