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 Duration 14 hours

Course Outline

Introduction to LangGraph in Marketing Automation

  • An overview of LangGraph concepts and node structures
  • Graph-based orchestration tailored for content workflows
  • Real-world examples in email automation

Architecting Conditional Content Flows

  • Implementing branching logic within email campaigns
  • Personalisation strategies utilising dynamic content
  • Constructing 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 generation for newsletters, product updates, and campaigns

State Management and Context Handling

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

APIs and External Integrations

  • Connecting with email platforms (e.g., SMTP, SendGrid, HubSpot)
  • Establishing connectivity with CRMs and marketing databases
  • Executing tool calls and fetching external data

Evaluation, Monitoring, and Optimisation

  • Measuring key metrics such as open rates, click-through, and engagement
  • Debugging workflow paths and branching outcomes
  • Iteratively optimising personalisation strategies

Packaging and Workflow Deployment

  • Managing version control and workflow administration
  • Configuring scheduling and automation triggers
  • Applying operational best practices and facilitating hand-offs to production teams

Summary and Recommended Next Steps

Requirements

  • Fundamental programming skills in Python
  • Practical experience with content automation or marketing workflows
  • Familiarity with email automation platforms or APIs

Target Audience

  • Marketers
  • Content strategists
  • Automation developers

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Provisional Upcoming Courses (Require 5+ participants)

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