Core Topics

• What is workflow automation: triggers, actions, conditions, and data transformation
• n8n interface: workflows, nodes, connections, and credentials management
• Core n8n nodes: HTTP Request, IF, Set, Merge, Function, Code, Loop
• Trigger types: webhook trigger, schedule (cron), on-event triggers
• Building your first workflow: form submission → Google Sheets → Slack notification
• Data mapping: JSONPath expressions, $json, $node references in n8n
• Error handling: Retry on fail, Error Trigger, and workflow error branches

Tools & Tech

Learning Outcomes

• Build a multi-step n8n workflow triggered by a webhook that reads data, applies conditional logic, writes to Google Sheets, and sends a formatted Slack message.

Core Topics

• Make interface: scenarios, modules, routes, and filters
• Scenario scheduling and trigger types: instant webhooks vs scheduled runs
• Routers and filters: conditional branching in Make scenarios
• Data stores in Make: key-value storage for cross-scenario memory
• Aggregators and iterators: processing arrays and lists in Make
• Error handlers: ignore, resume, rollback, and commit patterns
• Make vs n8n: when to choose which platform for a given business problem

Tools & Tech

Learning Outcomes

• Design and run a Make scenario with routers, filters, data stores, and aggregators — handling an array of records conditionally and logging errors robustly.

Core Topics

• Zapier fundamentals: Zaps, triggers, actions, filters, and Paths (branching)
• Multi-step Zaps: chaining 5+ actions for complex business processes
• Zapier Formatter: date/time, text, number transformations built-in
• API integration basics: REST, HTTP methods, authentication (API key, OAuth2, Bearer)
• Using Zapier's Webhooks by Zapier for custom API triggers and actions
• Connecting no-code tools: Typeform → HubSpot → Slack → Gmail automation
• Choosing between Zapier, Make, and n8n based on budget, scale, and tech comfort

Tools & Tech

Learning Outcomes

• Build a production Zapier automation that integrates 4+ apps (form → CRM → email → notification) with conditional Paths and Formatter-transformed data.

Core Topics

• Why Python for automation: when no-code tools are not enough
• requests library: making authenticated API calls, handling pagination, retries
• Automating file operations: reading/writing CSV, Excel, JSON, PDF extraction
• Web scraping basics: requests + BeautifulSoup for structured data extraction
• Python schedule library: running tasks at intervals or on cron expressions
• Automating emails: smtplib for programmatic email sending, attachments
• Combining Python with n8n: calling Python scripts via HTTP Request nodes

Tools & Tech

Learning Outcomes

• Write Python automation scripts that call APIs with pagination, process spreadsheet data, and run on a schedule — filling gaps that no-code tools cannot cover.

Core Topics

• Google Apps Script: the programmable layer inside Google Workspace
• Apps Script triggers: on-open, on-edit, time-driven triggers
• Automating Google Sheets: reading, writing, formatting, and emailing summaries
• Google Forms → Sheets → custom processing via Apps Script
• HubSpot CRM automation: workflow triggers, property updates, deal stage moves
• Data sync patterns: bi-directional sync, conflict resolution, idempotent operations
• Building a CRM → Google Sheets daily reporting pipeline

Tools & Tech

Learning Outcomes

• Build a Google Apps Script that triggers on form submission, processes data, updates a CRM via API, and emails a formatted summary — fully automated without manual steps.

Core Topics

• RPA fundamentals: what Robotic Process Automation is and where it fits
• UI automation concepts: element identification, screen scraping, attended vs unattended bots
• UiPath Community Edition overview: Studio, robot, orchestrator architecture
• When to use RPA vs API automation: legacy systems, no-API applications
• Monitoring automations: health check pings, failure alerts, run logging
• Debugging automation failures: common failure patterns and defensive design
• Capstone project: end-to-end business automation pipeline with monitoring

Tools & Tech

Learning Outcomes

• Design, build, and deploy a monitored end-to-end automation pipeline that solves a real business workflow problem — with error alerts and a documented runbook.