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 Duration 14 hours

Course Outline

Introduction to LangGraph for Marketing Automation

  • Understanding LangGraph concepts and node structures
  • Applying graph-based orchestration to content workflows
  • Real-world examples in email automation

Creating Conditional Content Flows

  • Implementing branching logic within email campaigns
  • Utilizing personalization strategies with dynamic content
  • Building 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 copy generation for newsletters, product updates, and campaigns

Managing State and Context

  • Monitoring recipient interactions and engagement
  • Distinguishing 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

  • Tracking open rates, click-throughs, and overall engagement
  • Troubleshooting workflow paths and branching results
  • Continuously refining personalization strategies

Packaging and Deploying Workflows

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

Conclusion and Future Directions

Requirements

  • Foundational programming proficiency in Python
  • Prior 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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