Course Outline

Introduction to LangGraph for Marketing Automation

  • Overview of LangGraph concepts and nodes
  • Graph-based orchestration for content workflows
  • Examples in email automation

Designing Conditional Content Flows

  • Branching logic in email campaigns
  • Personalization strategies with dynamic content
  • Decision trees for customer journeys

Integrating LLMs for Content Generation

  • Prompt design and chaining for multi-step content generation
  • Handling outputs and structured content
  • Automating copy for newsletters, product updates, and campaigns

State Management and Context Handling

  • Tracking recipient interactions and engagement
  • Short-term vs. persistent memory in workflows
  • Context passing between nodes for consistency

APIs and External Integrations

  • Email platform integration (e.g., SMTP, SendGrid, HubSpot)
  • CRM and marketing database connectivity
  • Tool calling and external data fetching

Evaluation, Monitoring, and Optimization

  • Measuring open rates, click-through, and engagement
  • Debugging workflow paths and branching outcomes
  • Iterative optimization of personalization strategies

Packaging and Deployment of Workflows

  • Version control and workflow management
  • Scheduling and automation triggers
  • Operational best practices and handoff to production teams

Summary and Next Steps

Requirements

  • Basic programming knowledge in Python
  • Experience with content automation or marketing workflows
  • Familiarity with email automation platforms or APIs

Audience

  • Marketers
  • Content strategists
  • Automation developers
 14 Hours

Delivery Options

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