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Duration 14 hours
Course Outline
Introduction to LangGraph in Marketing Automation
- An overview of LangGraph concepts and node structures
- Graph-based orchestration tailored for content workflows
- Real-world examples in email automation
Architecting Conditional Content Flows
- Implementing branching logic within email campaigns
- Personalisation strategies utilising dynamic content
- Constructing 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 generation for newsletters, product updates, and campaigns
State Management and Context Handling
- Monitoring recipient interactions and engagement
- Distinguishing between short-term and persistent memory in workflows
- Passing context between nodes to ensure consistency
APIs and External Integrations
- Connecting with email platforms (e.g., SMTP, SendGrid, HubSpot)
- Establishing connectivity with CRMs and marketing databases
- Executing tool calls and fetching external data
Evaluation, Monitoring, and Optimisation
- Measuring key metrics such as open rates, click-through, and engagement
- Debugging workflow paths and branching outcomes
- Iteratively optimising personalisation strategies
Packaging and Workflow Deployment
- Managing version control and workflow administration
- Configuring scheduling and automation triggers
- Applying operational best practices and facilitating hand-offs to production teams
Summary and Recommended Next Steps
Requirements
- Fundamental programming skills in Python
- Practical experience with content automation or marketing workflows
- Familiarity with email automation platforms or APIs
Target Audience
- Marketers
- Content strategists
- Automation developers