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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