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 Duration 14 hours

Course Outline

Getting Started with LangGraph for Marketing Automation

  • An overview of core LangGraph concepts and node structures
  • Applying graph-based orchestration to manage content workflows
  • Real-world examples within email automation contexts

Creating Conditional Content Flows

  • Implementing branching logic in email campaigns
  • Developing personalization strategies utilizing dynamic content
  • Constructing decision trees to guide customer journeys

Integrating LLMs for Content Generation

  • Designing prompts and chaining steps for multi-stage content generation
  • Processing outputs and managing structured content
  • Automating copy creation for newsletters, product updates, and broader campaigns

Managing State and Handling Context

  • Monitoring recipient interactions and engagement metrics
  • Differentiating between short-term and persistent memory in workflows
  • Ensuring consistency through context passing between nodes

Connecting APIs and External Systems

  • Integrating with email platforms (such as SMTP, SendGrid, and HubSpot)
  • Establishing connectivity with CRMs and marketing databases
  • Executing tool calls and retrieving external data

Evaluating, Monitoring, and Optimizing Performance

  • Tracking key metrics including open rates, click-throughs, and overall engagement
  • Diagnosing workflow paths and analyzing branching outcomes
  • Iteratively refining personalization strategies

Packaging and Deploying Workflows

  • Managing version control and workflow administration
  • Configuring scheduling and automation triggers
  • Adopting operational best practices and preparing for hand-off to production teams

Recap and Future Directions

Requirements

  • Foundational programming skills in Python
  • Prior exposure to content automation or marketing workflows
  • Working knowledge of email automation platforms or related APIs

Intended Audience

  • Marketing professionals
  • Content strategists
  • Automation developers

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