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Duration 14 hours
Course Outline
Introduction to LangGraph in Marketing Automation
- Core concepts and nodes within LangGraph
- Utilizing graph-based orchestration for content workflows
- Real-world applications in email automation
Creating Conditional Content Flows
- Applying branching logic to email campaigns
- Employing personalization strategies with dynamic content
- Structuring 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 copywriting for newsletters, product updates, and campaigns
Managing State and Context
- Monitoring recipient interactions and engagement levels
- Differentiating between short-term and persistent memory in workflows
- Ensuring consistency by passing context between nodes
Connecting APIs and External Systems
- Integration with email platforms (e.g., SMTP, SendGrid, HubSpot)
- Connecting to CRMs and marketing databases
- Executing tool calls and retrieving external data
Evaluating, Monitoring, and Optimizing
- Tracking metrics such as open rates, click-through rates, and engagement
- Troubleshooting workflow paths and branching outcomes
- Iteratively refining personalization strategies
Packaging and Deploying Workflows
- Implementing version control and managing workflows
- Setting up scheduling and automation triggers
- Applying operational best practices and transitioning to production teams
Recap and Future Actions
Requirements
- Foundational programming skills in Python
- Practical experience with content automation or marketing workflows
- Knowledge of email automation platforms or related APIs
Target Audience
- Marketing professionals
- Content strategists
- Automation developers