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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