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 Duration 14 hours

Course Outline

Introduction to LangGraph in Marketing Automation

  • Core concepts and nodes within LangGraph
  • Utilizing graph-based orchestration for content workflows
  • Real-world applications in email automation

Creating Conditional Content Flows

  • Applying branching logic to email campaigns
  • Employing personalization strategies with dynamic content
  • Structuring decision trees for customer journeys

Leveraging LLMs for Content Creation

  • Designing prompts and chains for multi-step content generation
  • Managing outputs and structured content
  • Automating copywriting for newsletters, product updates, and campaigns

Managing State and Context

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

Connecting APIs and External Systems

  • Integration with email platforms (e.g., SMTP, SendGrid, HubSpot)
  • Connecting to CRMs and marketing databases
  • Executing tool calls and retrieving external data

Evaluating, Monitoring, and Optimizing

  • Tracking metrics such as open rates, click-through rates, and engagement
  • Troubleshooting workflow paths and branching outcomes
  • Iteratively refining personalization strategies

Packaging and Deploying Workflows

  • Implementing version control and managing workflows
  • Setting up scheduling and automation triggers
  • Applying operational best practices and transitioning to production teams

Recap and Future Actions

Requirements

  • Foundational programming skills in Python
  • Practical experience with content automation or marketing workflows
  • Knowledge of email automation platforms or related APIs

Target Audience

  • Marketing professionals
  • Content strategists
  • Automation developers

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