Description
Fifteen years after our first class, we still have the same passion: to train exceptional IT professionals. At SIXE, we believe that behind every technology there are people who need to master it, which is why our approach goes beyond theory to create learning experiences that truly transform careers.
Zapier Advanced Course Information for Automation Architects
Who is this advanced course for?
This expert level training is specially designed for:
- Enterprise solution architects who design complex automation ecosystems on an organizational scale.
- Automation Engineers building multi-system workflow infrastructures with high availability requirements.
- Full-stack developers integrating no-code automation with proprietary systems and custom APIs.
- Technical Product Managers leading digital transformation initiatives through intelligent orchestration.
- Automation consultants implementing enterprise solutions for multiple customers with heterogeneous architectures.
- DevOps and SRE Engineers that automate CI/CD, monitoring and incident response pipelines.
- Innovation Leads exploring generative AI integrations into critical business workflows.
- Revenue Operations specialists who orchestrate CRM systems, marketing automation and data warehouses.
Mandatory prerequisites
This advanced course requires participants to have:
- Demonstrable experience building and maintaining Zaps in production for at least 6 months
- Strong proficiency in JavaScript including promises, async/await, error handling and native APIs
- In-depth knowledge of REST APIs including HTTP methods, OAuth 2.0 authentication and endpoint design
- Familiarity with complex JSON data structures, array/object manipulation and nested transformations
- Understanding of distributed architectures including webhooks, event-driven systems and message queues
- Experience with version control (Git) and collaborative development methodologies
- Knowledge of relational databases and SQL queries for advanced integrations
- Have completed our basic Zapier course or have equivalent certification
Objectives of the advanced course
At the end of this intensive expert-level training, participants will have mastered:
- Enterprise automation architecture: distributed system design with Zapier as central orchestrator
- Advanced Code by Zapier: developing complex logic with JavaScript and Python for transformations impossible with native nodes
- Zapier Platform CLI: building custom integrations for proprietary apps without native connector
- Canvas for visual architecture: diagramming complex workflows before technical implementation
- AI Agent orchestration: multi-level autonomous agent design with advanced contextual decisions
- Extreme performance optimization: techniques for workflows that process millions of events with minimum task consumption
- Enterprise error handling: advanced recovery patterns, circuit breakers and transaction compensation
- Security hardening: implementation of mutual authentication, encryption of payloads and full audit trails
- Multi-tenancy patterns: architectures for managing multiple customers/departments with data isolation
- Real-time data synchronization: bidirectional synchronization between systems with conflict resolution
- Custom middleware development: building intermediate layers for complex pre/post-processing transformations
- Monitoring and observability: implementation of structured logging, metrics and alerting for critical workflows
- Migration strategies: techniques to migrate automations from other platforms while maintaining operational continuity
- Enterprise governance: policy setting, granular access controls and compliance requirements
Expert level training program
Module 1: Enterprise Architecture for Automation at Scale
- Design principles for distributed systems: separation of concerns, loose coupling, idempotency
- Architectural patterns: event sourcing, CQRS, saga pattern applied to Zapier
- Zapier as ESB (Enterprise Service Bus): positioning in modern SOA architectures
- Design patterns for complex workflows: state machines, workflow orchestration vs. choreography
- Capacity planning: calculation of throughput, latency and scalability requirements
- Case Studies: real Fortune 500 architectures implemented with Zapier
- Lab: complete architecture design for migration from Workato/Tray.io
Module 2: Code by Zapier – Advanced development with JavaScript and Python
- Deep dive in Code by Zapier: limitations, capabilities and runtime environment
- Advanced JavaScript: async/await, promises, error handling and performance optimization
- Python on Zapier: use optimal cases, available libraries and constraints
- Complex transformations: XML/HTML parsing, advanced regex, cryptography
- Integration with external APIs: building robust HTTP clients with retry logic
- Data validation and sanitization: schema implementation and strict validation
- Unit testing strategies: validation of custom code prior to production deployment
- Lab: building middleware for legacy ERP synchronization with Salesforce
Module 3: Zapier Platform CLI – Building custom integrations
- Introduction to Zapier Platform CLI: when to develop custom integrations vs. using native connectors
- Setup of development environment: Node.js, npm, authentication and initial project
- Structure of an integration: triggers, searches, creates and architecture overview
- Authentication methods: API Key, OAuth 2.0, Session Auth and custom implementations
- Trigger development: polling vs. REST hooks, deduplication strategies
- Search implementation: pagination, filtering and performance optimization
- Creates with validation: dynamic input fields, error handling and idempotent operations
- Local testing: unit tests, integration tests and debugging of complex integrations
- Private publication: deployment of integrations for internal business use
- Maintenance and versioning: strategies for upgrading integrations without breaking changes
- Lab: full custom integration development for proprietary ticketing system
Module 4: Zapier Canvas – Visual Architecture and Executable Documentation
- Canvas as an architectural tool: design before technical implementation
- AI workflow generation: effective prompting for complex architectures
- Multi-workflow system diagramming: visualization of dependencies and data flows
- Collaboration with non-technical stakeholders: effective communication of architectures
- Export to Zaps: automatic conversion of diagrams to executable workflows
- Documentation as code: Canvas as a source of truth for technical documentation
- Use cases: proposal submission, team onboarding, compliance audits, etc.
- Lab: complete quote-to-cash process design with 15+ integrated applications
Module 5: Advanced AI Agents – Enterprise Artificial Intelligence Orchestration
- AI Agents architecture: memory, tools, planning and execution loops
- Multi-target agent design: prioritization, delegation and coordination among agents
- Integration with enterprise LLMs: OpenAI, Anthropic Claude, Azure OpenAI, custom models
- Advanced function calling: tool use to execute complex actions on external systems
- Prompt engineering for production: robust templates, versioning and A/B testing
- Context management: context windows, summarization and retrieval strategies
- RAG implementation: vector databases, embeddings and semantic search in workflows
- Cost optimization: caching, strategic model selection and prompt compression
- Safety and guardrails: content filtering, hallucination detection and output validation
- Multi-agent systems: coordination of specialized agents for complex tasks
- Lab: building customer success agent managing end-to-end onboarding
Module 6: Tables as data warehouse – Zapier data architecture
- Tables as a single source of truth: design of normalized vs denormalized schemas
- Advanced data modeling: table relationships, foreign keys and referential integrity
- Query optimization: techniques for efficient searches in tables with millions of records
- Bulk operations: massive import/export and batch processing strategies
- Data lifecycle management: archiving, purging and compliance with data regulations
- Bidirectional synchronization: conflict resolution when multiple systems modify the same data
- Complete audit trails: change tracking, versioning and rollback capabilities
- Backup and disaster recovery: strategies for critical data protection
- Performance tuning: indexes, logical partitioning and caching strategies
- Lab: implementation of master data management system with Tables as central hub
Module 7: Advanced Webhooks and event-driven architectures
- Webhook security hardening: HMAC signatures, IP whitelisting and request validation
- Rate limiting and backpressure: handling of traffic spikes without loss of events
- Async processing patterns: immediate responses with delayed processing
- Webhook retry logic: exponential backoff, dead letter queues and manual intervention
- Fan-out patterns: distribution of events to multiple consumers with delivery guarantees
- Event replay mechanisms: reprocessing of historical events for data recovery
- Correlation IDs: end-to-end traceability in complex distributed architectures
- Webhook to long-running job: patterns for processes exceeding timeout limits
- Monitoring of webhooks: latency tracking, error rates and automatic alerting
- Lab: event bus construction that receives webhooks and distributes to multiple workflows
Module 8: Extreme performance optimization and cost reduction
- In-depth consumption audit: identification of inefficient workflows with task usage analysis
- Batch processing strategies: grouping of operations to reduce consumption by up to 90%.
- Intelligent caching: implementation of TTL, override and strategies for frequent data
- Advanced Deduplication: techniques to avoid redundant event processing
- Lazy loading patterns: on-demand data loading instead of preprocessing
- Query optimization: minimization of API calls through efficient searches and filtering
- Asynchronous operations: use of delays and scheduling to distribute time load
- Resource pooling: reuse of connections and credentials between runs
- Workflow profiling: identification of bottlenecks with detailed execution metrics
- ROI calculation framework: accurate measurement of savings vs. investment in automation
- Lab: workflow optimization that processes 100K+ records per day reducing costs by 80%.
Module 9: Enterprise error handling and resilience engineering
- Circuit breaker pattern: protection against cascading failures in distributed architectures
- Advanced Retry strategies: combined exponential backoff, jitter and circuit breaking
- Compensating transactions: rollback of multi-system transactions when a step fails
- Error categorization: transient vs permanent errors and type-specific strategies
- Dead letter queues: management of repeatedly failing events with subsequent analysis
- Graceful degradation: maintaining partial functionality when downstream services fail
- Intelligent alerting: contextual notifications to facilitate rapid diagnosis and resolution
- Applied chaos engineering: proactive resilience testing through fault injection
- Incident response playbooks: executable documentation for troubleshooting common problems
- Post-mortem automation: automatic analysis of failure patterns for continuous improvement
- Laboratory: implementation of a resilient system that maintains operation in the face of 3+ service failures.
Module 10: Security hardening and corporate compliance
- Zero-trust architecture: safety principles applied to automation workflows
- Advanced Secrets management: automatic rotation, encryption at rest and least privilege access
- Data encryption: encryption of sensitive payloads in transit and storage
- Granular RBAC: permit design by team, project and data sensitivity level
- Full audit logging: traceability of who executed what, when and with what data
- GDPR and compliance: implementation of data residency, right to be forgotten and consent management
- SOC 2 considerations: controls required for certification in Zapier environments
- Penetration testing of workflows: identification of vulnerabilities in automations
- Data loss prevention: policies to avoid accidental exposure of sensitive information
- Incident detection: proactive monitoring of anomalous activity in workflows
- Lab: full hardening of multi-tenant architecture with banking compliance requirements
Module 11: Real-time bidirectional sync and data consistency
- Challenges of bidirectional synchronization: race conditions, conflict resolution, eventual consistency
- Change data capture patterns: efficient detection of changes in source systems
- Conflict resolution strategies: last-write-wins, merge strategies, manual intervention
- Idempotency guarantees: ensuring that repeated operations produce the same result
- Distributed locking: coordination between workflows to avoid simultaneous changes
- Transaction boundaries: definition of atomic units in multi-system operations
- Eventual consistency patterns: design of systems that tolerate temporal inconsistencies
- Data reconciliation: batch processes to detect and correct accumulated inconsistencies
- Version vectors: state tracking in distributed systems without central coordination
- Lab: Implementation of bi-directional synchronization between Salesforce and NetSuite with 50K+ records
Module 12: Advanced observability and operational excellence
- Three pillars of observability: logs, metrics, traces applied to Zapier workflows
- Structured logging: implementation of context-consistent logging with rich context
- Custom metrics: exposing business KPIs from workflows to dashboards
- Distributed tracing: tracking requests across multiple workflows and systems
- Alerting based on SLOs: definition of service level objectives and significant alerts
- Dashboard design: effective visualization of automation ecosystem health
- Capacity monitoring: growth forecasting and proactive resource planning
- Performance baselines: establishment of standard metrics for anomaly detection
- Incident management integration: alerts connection with PagerDuty, Opsgenie, ServiceNow
- Continuous improvement loops: use of observability data for iterative optimization
- Laboratory: construction of complete observability system with intelligent alerting
Module 13: Migration strategies and platform transitions
- Assessment methodology: evaluation of migration complexity from other platforms
- Strangler fig pattern: incremental migration without big bang deployments
- Parallel run strategies: simultaneous operation of old and new systems with comparison of results
- Data migration approaches: bulk import, incremental sync, hybrid strategies
- Rollback planning: ability to revert to previous system if migration fails
- Feature parity validation: comprehensive post-migration functional equivalence testing
- User training and change management: successful adoption of new automations
- Performance comparison: benchmarking of new vs. legacy systems
- Case studies: real migrations from Workato, Tray.io, custom code to Zapier
- Lab: complete planning of migration of 200+ workflows from legacy platform
Module 14: Enterprise governance and center of excellence
- Establishment of Automation CoE: organizational structure, roles and responsibilities
- Standards and best practices: definition of naming conventions, architecture, documentation
- Approval workflows: review processes before deployment to production
- Template library management: creation and maintenance of reusable components
- Knowledge management: technical documentation, runbooks and troubleshooting guides
- Training programs: enablement of self-service automation equipment
- Vendor management: relationship with Zapier support, escalations, feature requests
- Budget management: cost allocation, chargeback models, optimization initiatives
- Innovation tracking: evaluation of new features and applicability to internal use cases
- Maturity model: organizational automation level assessment and evolution roadmap
- Lab: design of complete governance model for 5000+ employee company
Module 15: Capstone Project – End-to-end Enterprise Architecture
- Real business case definition: complete automation of critical business process
- Detailed technical architecture: diagrams, data flows, integration points, dependencies
- Implementation of coordinated workflows: construction of 10+ interconnected Zaps
- Generative AI integration: autonomous agents making contextual decisions
- Security and compliance implementation: complete hardening according to best practices
- Performance testing: validation of throughput under load with real metrics
- Observability setup: logging, monitoring, alerting and operational dashboards
- Complete technical documentation: architecture, runbooks, troubleshooting guides
- Disaster recovery testing: failure simulation and recovery validation
- Executive presentation: solution demo with ROI and business value metrics
- Peer review: architecture and code feedback from instructors and peers
Training modalities for enterprise teams
In-depth technical sessions with real-time hands-on implementation. Each participant works in a dedicated Zapier Enterprise environment with direct feedback from expert instructors. Includes session recordings for later review and ongoing consultation.
Hands-on experience in our specialized centers with enterprise infrastructure. Face-to-face collaboration on complex architectures with whiteboarding sessions and design sprints. Direct networking with automation architects from other leading organizations.
Latin America: Mexico DF, Buenos Aires, Bogota, Santiago, Lima, Quito
Program completely adapted to the technological stack and specific processes of your organization. We work directly on your real systems building production-ready automations. Includes prior assessment of automation opportunities, target architecture design and implementation roadmap. Ideal for companies looking to establish an automation Center of Excellence with advanced internal capabilities.