AI Marketing Course: Transforming Strategies with Generative AI

AI is fundamentally changing how marketing teams plan, create, measure, and execute. Yet, the primary executive challenge isn’t simply learning more tools; it’s deciding where to focus first, which workflows to redesign, and how to deploy AI in a way that your organization can absorb while improving both growth outcomes and durable value. Organizations that equip their leaders with the skills to strategically adopt generative, predictive, and agentic AI technologies — projected by McKinsey to add $4.4 trillion in annual corporate value — will gain a significant competitive edge.

As AI systems move from assisting marketers to autonomously executing and optimizing campaigns, leaders must develop fluency in agent-driven discovery, AI-mediated traffic, and autonomous decision systems that are reshaping marketing performance. This program equips you to move beyond the hype and strategically leverage agentic AI, predictive analytics, and hyper-personalization to drive measurable growth.

You will diagnose the right growth constraints in your business and apply AI to high-leverage areas such as audience targeting, conversion optimization, content automation, and cross-channel orchestration. You will also examine how increasing AI autonomy influences team structures and cross-functional collaboration in modern marketing organizations.

Designed for marketers in both B2B and B2C environments, this program addresses the practical realities of deploying AI at scale — constrained talent, fragmented data ecosystems, evolving workflows, and the need to align marketing with analytics, product, IT, finance, and legal.

Through case studies and interactive exercises, you will develop practical experience in AI-driven segmentation and campaign optimization across both human-led and agent-driven environments. You will leave with a clear, actionable path to maximize marketing impact across the customer journey.

Program Benefits

• Optimize the Customer Journey: Improve marketing outcomes by applying AI strategies across all touchpoints to segment audiences, reduce friction in conversion, and strengthen retention.
• Enhance Brand Engagement: Predict trending topics and automate high-performing content across social media and digital channels to support campaign efficiencies.
• Scale Operations & Testing: Integrate AI tools into existing marketing technology stacks (CRM, CMS, and analytics) to accelerate execution and automate complex processes at scale.
• Adapt to Changing Customer Discovery: Understand how generative search and answer engines are reshaping how customers find brands, and how to adapt marketing systems for an agent-driven future.
• Drive Strategic Growth: Lead AI-enabled initiatives that align marketing with analytics, product, and finance to deliver measurable business impact.

Participants will return to their office with a Certificate of Completion from the Harvard Division of Continuing Education, further validating their expertise.

Who Should Enroll

This program is designed for mid- to senior-level marketing professionals responsible for strategy, execution, or cross-functional leadership, including:

• Marketing executives (VP/Director level) seeking to align AI initiatives with business outcomes
• Digital, growth, and lifecycle leaders overseeing ecommerce, CRM, or performance marketing
• Senior marketers working closely with product, analytics, IT, or finance teams
• Agency leaders and consultants advising clients on AI-enabled marketing transformation

Participants should have a solid grasp of core marketing concepts such as funnel metrics, customer lifetime value, and segmentation. No technical background is required, though familiarity with generative AI tools (e.g., ChatGPT, Gemini, Claude) will be helpful.

Topics Covered

• AI-Enabled Customer Segmentation and Personalization: Applying AI tools to refine audience targeting and design more relevant customer journeys across channels.
• Predictive Analytics: Leveraging AI to predict customer lifetime value, churn, and product affinities to inform long-term strategy.
• Content & SEO/GEO Optimization: Utilizing generative AI to optimize keyword strategies, automate content for SEO, and navigate new discovery engines for Generative Engine Optimization (GEO).
• Agentic AI Systems: How autonomous AI agents can plan, execute, and optimize campaigns across channels with limited human intervention.
• Managing AI-Enabled Performance: How leaders set guardrails, monitor outputs, and ensure autonomous systems drive measurable business outcomes.