- 9 Sections
- 55 Lessons
- Lifetime
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- 1. Foundations of No-Code Automation8
- 1.1DTZS 1.1 What can and cannot be automated without developers
- 1.2DTZS 1.2 The modern integration landscape (iPaaS, open-source, SaaS)
- 1.3DTZS 1.3 Events, webhooks, polling, and API fundamentals in plain English
- 1.4DTZS 1.4 “Input → Process → Output” architecture for business workflows
- 1.5DTZS 1.5 Finding bottlenecks: value-stream mapping for office work
- 1.6DTZS 1.6 Estimating ROI and building the business case
- 1.7DTZS 1.7 Cloud versus self-host: security, latency, and Total Cost of Ownership
- 1.101DTZS 1. Quiz3 Questions
- 2. n8n: Open-Source Backbone8
- 2.1DTZS 2.1 Interface tour and node taxonomy
- 2.2DTZS 2.2 Spinning up your first workflow in five minutes
- 2.3DTZS 2.3 Credentials, environment variables, and secrets management
- 2.4DTZS 2.4 Core logic nodes: HTTP Request, IF, Switch, Merge, Code
- 2.5DTZS 2.5 Integrating Slack, HubSpot, Airtable, Shopify, and GitHub
- 2.6DTZS 2.6 Debugging with execution logs, mock data, manual runs
- 2.7DTZS 2.7 Scaling with queues, separate workers, and Redis
- 2.101DTZS 2. Quiz3 Questions
- 3. Make and Zapier: Cloud Powerhouses8
- 3.1DTZS 3.1 Scenario vs. Zap: terminology, limits, pricing patterns
- 3.2DTZS 3.2 Building multi-step paths with routers, iterators, and aggregators
- 3.3DTZS 3.3 Error handling: retries, timeouts, conditional branching
- 3.4DTZS 3.4 Connecting Google Workspace, Notion, Stripe, and Facebook Ads
- 3.5DTZS 3.5 Using built-in functions to transform dates, arrays, text
- 3.6DTZS 3.6 Versioning and test-mode best practices
- 3.7DTZS 3.7 Migrating between platforms with Blueprint/Export files
- 3.101DTZS 3. Quiz3 Questions
- 4. Orchestration with Pipedream, Tray.io, and Parabola8
- 4.1DTZS 4.1 When to choose event-driven serverless (Pipedream) over GUI workflows
- 4.2DTZS 4.2 Building data pipelines and CSV automation in Parabola
- 4.3DTZS 4.3 Enterprise-grade connectors and mapping in Tray.io
- 4.4DTZS 4.4 Real-time webhooks, cron triggers, and queue workers
- 4.5DTZS 4.5 Embedding custom code steps (JavaScript, Python) safely
- 4.6DTZS 4.6 Observability: logs, metrics, and alerting integrations
- 4.7DTZS 4.7 Hybrid architectures that mix multiple iPaaS tools
- 4.101DTZS 4. Quiz3 Questions
- 5. AI Modules and LLM Assistants8
- 5.1DTZS 5.1 Overview of accessible LLM APIs in North America and Europe
- 5.2DTZS 5.2 Prompt-engineering for deterministic outputs and JSON formats
- 5.3DTZS 5.3 Generating personalized emails from CRM data
- 5.4DTZS 5.4 Classifying reviews and support tickets by sentiment and topic
- 5.5DTZS 5.5 Summarizing contracts and meeting transcripts on the fly
- 5.6DTZS 5.6 Creating product images with generative AI and storing in CDN
- 5.7DTZS 5.7 Designing fallback strategies for quota limits and outages
- 5.101DTZS 5. Quiz3 Questions
- 6. Thirty Ready-Made Automation Recipes7
- 6.1DTZS 6.1 Web form submission → Salesforce lead → Slack alert
- 6.2DTZS 6.2 Stripe payment → QuickBooks invoice → customer thank-you email
- 6.3DTZS 6.3 Shopify order → OpenAI shipping-update copy → Mailchimp campaign
- 6.4DTZS 6.4 Google Sheets row → enrichment via Clearbit → HubSpot deal
- 6.5DTZS 6.5 Zendesk ticket → sentiment analysis → route to priority queue
- 6.6DTZS 6.6–6.30 More advanced and industry-specific recipes up to: Closed-won deal → generate PDF contract → e-sign → cloud archive
- 6.101DTZS 6. Quiz3 Questions
- 7. Governance, Security, and Compliance8
- 7.1DTZS 7.1 Data residency, GDPR, CCPA, and SOC 2 basics for no-code builders
- 7.2DTZS 7.2 Role-based access, secrets vaults, and API key rotation
- 7.3DTZS 7.3 Version control and staging environments for workflows
- 7.4DTZS 7.4 Logging, audit trails, and immutable evidence for regulators
- 7.5DTZS 7.5 Disaster recovery: backup, restore, and high availability
- 7.6DTZS 7.6 Design patterns that avoid “spaghetti integrations”
- 7.7DTZS 7.7 Scaling to thousands of tasks per minute without breaking SLAs
- 7.101DTZS 7. Quiz3 Questions
- 8. ROI, Scaling, and Automation Culture8
- 8.1DTZS 8.1 Measuring success: throughput, error rate, cost per task
- 8.2DTZS 8.2 Building an internal “automation backlog” and intake form
- 8.3DTZS 8.3 Coaching teams to document before they automate
- 8.4DTZS 8.4 Center-of-Excellence model versus federated ownership
- 8.5DTZS 8.5 Continuous improvement loops and quarterly audits
- 8.6DTZS 8.6 Presenting wins to leadership with data-driven storytelling
- 8.7DTZS 8.7 Road-mapping future initiatives: AI agents, RPA, and beyond
- 8.101DTZS 8. Quiz3 Questions
- DTZS FinalQuiz1
DTZS 8. Quiz
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