Professional Skill Course

Automation Course in Nagpur

Automate business workflows with n8n, Make, Zapier, Python, and Google Apps Script — eliminating manual work and building pipelines that run while you sleep.

6 weeks (48 hours of instruction)
Offline Nagpur · Online · Hybrid
Course Completion Certificate — Skilleze Technologies
1-on-1 Mentorship Included
Key Facts SummaryExtractable Entity Specifications
Institute EntitySkilleze Technologies
Location & CampusNagpur, Maharashtra (Ramdaspeth / Central Nagpur)
Training & Delivery ModeOffline — Flat no. 8A, 2nd Floor, Kanchana Kiran Apartment, Ramdaspeth, Nagpur - 440010 · Online live (Zoom) · Hybrid
Program Duration6 weeks (48 hours of instruction)
Credential AwardedCourse Completion Certificate — Skilleze Technologies

Quick Answer

The Automation course in Nagpur covers workflow automation with n8n, Make (Integromat), and Zapier, API and webhook integration, Python scripting for automation, CRM and data-sync pipelines, Google Apps Script, RPA concepts, and automation monitoring. It is designed for working professionals, business analysts, freelancers, and technically curious students who want to eliminate manual repetitive tasks and build intelligent, automated business workflows.

Course Specifications at a Glance

Automation course specifications
Duration6 weeks (48 hours of instruction)
Weekly Hours8 hours (weekday or weekend batch)
ModeOffline — Flat no. 8A, 2nd Floor, Kanchana Kiran Apartment, Ramdaspeth, Nagpur - 440010 · Online live (Zoom) · Hybrid
Batch Timings
  • Weekday Morning: Mon–Fri 10:00 AM – 12:00 PM
  • Weekday Evening: Mon–Fri 6:30 PM – 8:30 PM
  • Weekend Batch: Sat–Sun 9:00 AM – 1:00 PM
PrerequisitesBasic computer literacy. Python basics are helpful for Week 4 but not strictly required. Business process awareness is more valuable than coding experience for this course.
CertificateCourse Completion Certificate — Skilleze Technologies
FeesFees on enquiry — speak to an advisor

Who Is This Course For?

Students

  • B.Com, BBA, MBA, BCA, or B.Sc. students interested in business process automation
  • Students wanting a practical, immediately employable skill for operations or data roles
  • CS/IT students who want to complement development skills with automation expertise
  • Students who want to offer freelance automation services to local Nagpur businesses
  • Anyone in Nagpur who spends time on repetitive copy-paste or data entry tasks

Working Professionals

  • Operations, HR, finance, or sales professionals doing repetitive manual tasks daily
  • Business analysts who want to automate their own reporting and data workflows
  • Small business owners who want to automate customer follow-ups and data collection
  • Developers who want to build automation solutions as a freelance service
  • Working professionals in any department who use tools like Gmail, Google Sheets, or HubSpot

Week-by-Week Syllabus — Automation

6 modules · 6 weeks (48 hours of instruction)

Module 1Automation Fundamentals & n8n

Week 1
  • 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
n8n (self-hosted / cloud)Docker (n8n setup)Webhook.site

Outcome: 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.

Module 2Make (Integromat) — Advanced Workflow Design

Week 2
  • 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
Make.comWebhooksJSON / XML parsingRegex in Make

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

Module 3Zapier, API Integration & Webhooks

Week 3
  • 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
ZapierPostmanWebhook.siteOpenAPI / REST APIs

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

Module 4Python Scripting for Automation

Week 4
  • 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
Python 3.12requestsschedulepandasopenpyxl / xlrd

Outcome: 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.

Module 5CRM Pipelines, Data Sync & Google Apps Script

Week 5
  • 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
Google Apps ScriptHubSpot / Notion APIGoogle Sheets APIApps Script triggers

Outcome: 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.

Module 6RPA Concepts, Monitoring & Capstone

Week 6
  • 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
n8n / MakeUiPath Community (demo)PythonSentry / healthchecks.io

Outcome: 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.

Tools & Technologies You Will Master

n8n
Make (Integromat)
Zapier
Python 3.12
Google Apps Script
Webhooks / REST APIs
Google Sheets API
HubSpot API
Postman
BeautifulSoup
pandas / openpyxl
UiPath (demo)

Language  Framework  Database  DevOps  AI  Platform

Capstone Projects — What You Will Ship

Lead Capture & Follow-Up Automation

Project 1

Problem: Automate the full lead lifecycle: website form submission → CRM entry → welcome email → Slack sales alert → weekly lead summary sheet — without any manual steps.

n8nHubSpot / Notion APIGmail APIGoogle SheetsSlack webhook

You ship: A live n8n workflow running on schedule and on trigger, with documented flow diagram, error handling branches, and a one-page summary of the hours saved per week.

Daily Business Intelligence Report Bot

Project 2

Problem: Build an automation that pulls sales data from a Google Sheet, calculates daily KPIs in Python, formats a summary email, and sends it to a distribution list every morning at 8 AM.

Google Apps ScriptPythonGoogle Sheets APIGmailhealthchecks.io

You ship: A scheduled automation that sends a formatted daily business KPI email with a monitoring health-check ping — demonstrating a complete production-grade automation setup.

Career Outcomes — Where This Course Takes You

Target Role Titles

Automation Engineer
Business Process Automation Specialist
No-Code / Low-Code Developer
Operations Automation Analyst
RPA Developer (Junior)
Workflow Automation Consultant

Skills You Will Reach

Skills matrix for Automation
SkillLevel
n8n Workflow DesignAdvanced
Make.com AutomationProficient
Zapier Multi-Step ZapsProficient
REST API IntegrationProficient
Python Automation ScriptingProficient
Google Apps ScriptProficient
CRM Workflow AutomationFoundational
RPA ConceptsFoundational

Sample Interview Questions You Will Be Ready For

  • “How would you choose between n8n, Make, and Zapier for a new automation project?”
  • “What is an idempotent operation and why is it important when building data sync automations?”
  • “How would you handle API rate limits in an automation that processes 10,000 records per day?”
  • “What is the difference between UI automation (RPA) and API automation, and when would you use each?”
  • “How do you monitor an automation workflow in production to detect and alert on failures?”

Salary benchmarks: <<PLACEHOLDER: Average salary for Automation Engineers / No-Code Developers in India — source: AmbitionBox / Glassdoor India, verified [month year]>>

Why Skilleze Technologies — Not Just Another Institute

Skilleze Technologies vs generic institutes comparison
What You GetSkilleze TechnologiesGeneric Institutes
Mentorship1-on-1 mentor sessions + PR code reviewsRecorded videos only
Projects2–3 deployed capstone projects with live URLToy exercises or no projects
Syllabus currencyUpdated to 2025–26 industry toolingOften 2–3 years behind market
Batch sizeSmall cohorts — mentor access is realLarge batches, no individual feedback
Certificate verifiabilityVerifiable reference number issuedNo verification mechanism
LocationOffline Nagpur + online + hybridOnline only or fixed city only
Career layerATS resume + LinkedIn + mock interviewsNot included

Comparisons are factual statements about our own offering. We do not name or endorse any specific competitor.

Frequently Asked Questions — Automation

Is automation a good career in 2026?
Automation skills are in high demand across every industry. Every company — from small businesses to large enterprises — is looking to reduce manual work and increase efficiency. Automation engineers, no-code developers, and RPA specialists are hired by IT services, BPOs, BFSI, and e-commerce companies. The ROI of automation is directly measurable, making it easy to demonstrate value in interviews.
What is the fee for the Automation course in Nagpur?
Fees are shared during a personal advisor call. EMI options and batch-specific pricing are available. Connect via WhatsApp or the enquiry form — an advisor will share the complete fee structure within one business day.
Do I need coding experience to take the Automation course?
No. Weeks 1–3 and 5 use no-code tools (n8n, Make, Zapier, Apps Script) that require no programming. Week 4 introduces Python scripting — if you have never coded, the basics are introduced from scratch. A willingness to follow logic and experiment is more important than prior coding experience.
What is n8n and why is it taught in this course?
n8n is an open-source workflow automation platform similar to Zapier and Make but self-hostable. It allows you to build unlimited workflows without per-task fees — making it ideal for high-volume automations. It is taught first because its visual interface is excellent for learning automation concepts, and self-hosting gives you full control over your data and integrations.
What is the difference between n8n, Make, and Zapier?
Zapier is the most user-friendly but has per-task pricing that gets expensive at scale. Make is more powerful with better data transformation and a more visual interface. n8n is open-source, self-hostable, and has no per-execution limits — ideal for technical users and high-volume workflows. This course teaches all three so you can choose the right tool for each client or project.
Is Google Apps Script covered in this course?
Yes. Week 5 is dedicated to Google Apps Script — automating Google Sheets, Forms, Gmail, and Calendar using JavaScript-based scripting inside Google Workspace. Apps Script triggers (on-form-submit, on-edit, time-based) are covered, and you build a complete CRM → Sheets → email pipeline using it.
Is this Automation course available offline in Nagpur?
Yes. Offline classes at our Wardha Road centre in Nagpur. Online live Zoom and hybrid options also available. Weekend batches run Saturday–Sunday for working professionals.
Can I use automation skills to freelance for local Nagpur businesses?
Yes. Nagpur has a large number of SMEs — medical clinics, retail, manufacturing, education — that are doing manual data entry and follow-ups daily. After this course, you can offer to automate their WhatsApp lead handling, CRM data entry, and reporting workflows. Automation freelancers typically charge per project or as a monthly retainer.
Is Agentic AI different from the Automation course?
Yes. This Automation course focuses on deterministic workflow automation — if X then Y, connecting apps via APIs and webhooks. The Agentic AI course focuses on AI-powered autonomous systems that use LLMs to make decisions and take actions. They are complementary: automation for rule-based processes, agentic AI for tasks requiring reasoning and judgment.

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