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Duration 14 hours
Course Outline
Introduction to LangGraph in Marketing Automation
- Fundamental concepts of LangGraph and its nodes
- Applying graph-based orchestration to content workflows
- Real-world examples in email automation
Designing Conditional Content Flows
- Implementing branching logic in email campaigns
- Personalization strategies utilizing dynamic content
- Structuring decision trees for customer journeys
Integrating LLMs for Content Generation
- Prompt design and chaining techniques for multi-step content generation
- Processing outputs and managing structured content
- Automating copy creation for newsletters, product updates, and marketing campaigns
State Management and Context Handling
- Monitoring recipient interactions and engagement metrics
- Distinguishing between short-term and persistent memory within workflows
- Ensuring consistency through context passing between nodes
APIs and External Integrations
- Connecting with email platforms such as SMTP, SendGrid, and HubSpot
- Establishing connectivity with CRMs and marketing databases
- Executing tool calls and retrieving external data
Evaluation, Monitoring, and Optimization
- Analyzing open rates, click-throughs, and overall engagement
- Debugging workflow paths and evaluating branching outcomes
- Continuously refining personalization strategies through iterative optimization
Packaging and Deployment of Workflows
- Implementing version control and workflow management practices
- Configuring scheduling and automation triggers
- Adopting operational best practices and facilitating hand-off to production teams
Summary and Next Steps
Requirements
- Foundational programming proficiency in Python
- Practical experience with content automation or marketing workflow processes
- Familiarity with email automation platforms or their associated APIs
Target Audience
- Marketing professionals
- Content strategists
- Automation developers