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Duration 14 hours
Course Outline
Introduction to LangGraph in the Context of Marketing Automation
- Core concepts of LangGraph and its nodes
- Utilizing graph-based orchestration for content workflows
- Real-world examples in email automation
Creating Conditional Content Flows
- Implementing branching logic in email campaigns
- Strategies for personalization using dynamic content
- Building decision trees for customer journeys
Leveraging LLMs for Content Generation
- Prompt design and chaining for multi-stage content creation
- Managing outputs and structured content
- Automating copywriting for newsletters, product updates, and campaigns
State Management and Context Handling
- Monitoring recipient interactions and engagement levels
- Distinguishing between short-term and persistent memory in workflows
- Ensuring consistency through context passing between nodes
APIs and External Integrations
- Connecting to email platforms (e.g., SMTP, SendGrid, HubSpot)
- Integrating with CRMs and marketing databases
- Executing tool calls and retrieving external data
Assessment, Monitoring, and Optimization
- Tracking metrics such as open rates, click-throughs, and engagement
- Troubleshooting workflow paths and branching results
- Refining personalization strategies iteratively
Packaging and Deploying Workflows
- Applying version control and managing workflows
- Setting up scheduling and automation triggers
- Following operational best practices and transferring to production teams
Conclusion and Future Steps
Requirements
- Foundational programming skills in Python
- Prior experience with content automation or marketing workflows
- Familiarity with email automation platforms or their APIs
Target Audience
- Marketing professionals
- Content strategists
- Automation developers