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 Duration 14 hours

Course Outline

Introduction to LangGraph for Marketing Automation

  • Key concepts and nodes in LangGraph
  • Graph-based orchestration for content workflows
  • Applications in email automation

Creating Conditional Content Flows

  • Implementing branching logic in email campaigns
  • Personalization tactics using dynamic content
  • Decision trees for customer journeys

Integrating LLMs for Content Generation

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

State Management and Context Handling

  • Monitoring recipient interactions and engagement
  • Short-term versus persistent memory in workflows
  • Passing context between nodes to ensure consistency

APIs and External Integrations

  • Email platform integration (e.g., SMTP, SendGrid, HubSpot)
  • Connecting CRM and marketing databases
  • Tool invocation and external data retrieval

Evaluation, Monitoring, and Optimization

  • Tracking open rates, click-throughs, and engagement metrics
  • Debugging workflow paths and branching results
  • Iteratively refining personalization strategies

Packaging and Deploying Workflows

  • Version control and workflow administration
  • Scheduling and automation triggers
  • Operational best practices and handover to production teams

Summary and Next Steps

Requirements

  • Fundamental programming skills in Python
  • Prior experience with content automation or marketing workflows
  • Knowledge of email automation platforms or APIs

Target Audience

  • Marketers
  • Content strategists
  • Automation developers

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