The Beevolve Academy

Teaching automation as engineering, not prompts.

Most courses teach you to type prompts. We teach you to architect systems — data structures, APIs, logic flow, AI agents, and the discipline to ship them in production.

Twelve weeks. Five modules. A real industry capstone. You leave as an Automation Architect, not a prompt operator.

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Pedagogical philosophy

The Fair-Code Architect.

The education market is flooded with generic "Prompt Engineering" courses that age in months. We teach Engineering Fundamentals through the lens of Low-Code tools — skills that compound for a decade.

architect
i

Data structures over prompts

JSON, schema design, data shape. Without these, every "AI" automation collapses the moment data drifts.

ii

API architecture as a first language

REST, authentication, webhooks, error handling. The internet's wiring diagram — taught as primary, not optional.

iii

Logic flow, then AI

Conditionals, loops, retries, dead-letter queues. Then we introduce LLMs as one node in a system, not the whole system.

iv

Ownership over dependency

Self-hosting, version control, deployment. You graduate able to run, scale, and own your systems — no vendor lock.

Designed for

Three kinds of builder.

The curriculum is paced to take anyone from "I don't know what JSON is" to architecting agentic systems — but it's especially calibrated for three career inflection points.

Persona / 01

The Upskiller.

IT professionals or operations managers wanting to add "Automation Engineer" to their resume — and bring serious leverage back to their current org.

ITOpsMid-career
Persona / 02

The Career Switcher.

Non-technical individuals seeking a high-paying entry into the tech sector without spending four years on a CS degree. We compress the path.

Non-CSCareer changeJob-ready in 12wk
Persona / 03

The Agency Founder.

Entrepreneurs starting their own automation agencies. Pricing, scoping, SOW templates and client systems are baked into the final module.

FounderFreelancePricing + SOW
Comprehensive syllabus

The 12-week Automation Masterclass.

Five modules, each with topics, a hands-on project, and feedback from a working automation architect. Designed to take a novice to job-ready.

i
Weeks 1–2
Objective — The physics of automation

Foundations of workflow logic.

Start at zero. Understand the canvas, the causality of triggers and actions, and the language data speaks. Build muscle memory before complexity.

Topics

  • The n8n interface — Canvas, Nodes, Execution History.
  • Trigger vs. Action — the fundamental causality of automation.
  • Data structures — a deep dive into JSON. Why, how to read it, how to structure it.
  • The 'Set' node — manipulating fields and preparing data downstream.

You'll be able to

  • Read and write JSON fluently
  • Trace data through any workflow
  • Trigger workflows on a schedule, webhook, or event
  • Debug a broken execution from the History tab
Project

"The Morning Briefing" — Build a workflow that triggers at 8:00 AM, fetches weather (OpenWeatherMap), pulls news headlines (News API), and sends a summarized message to Telegram every morning.

ii
Weeks 3–5
Objective — Connect anything to anything

The API & integration layer.

The universal connector. Once you speak HTTP fluently, the entire internet becomes a node in your workflow.

Topics

  • HTTP requests — GET, POST, PUT, DELETE.
  • Authentication — API keys, bearer tokens, OAuth2. Secure credential handling.
  • Webhooks — listeners that react to real-time events.
  • Data transformation — merge sources, match IDs across systems.

You'll be able to

  • Integrate any documented API into n8n in under an hour
  • Set up OAuth2 from scratch without panic
  • Build a Webhook listener with replay and error logging
  • Merge two data sources by a foreign key
Project

"The Lead Enricher" — A workflow that receives a new lead via webhook, looks up the email in Clearbit / Apollo for company data, and writes the enriched profile to HubSpot or Pipedrive.

iii
Weeks 6–7
Objective — Breaking the low-code ceiling

Advanced logic & JavaScript.

Where low-code ends, code begins. Just enough JavaScript to handle the 10% of problems that pure no-code can't.

Topics

  • Complex logic — Switch nodes, If/Else nesting, Wait nodes.
  • Looping — Split In Batches. Process 1,000 rows without crashing.
  • The 'Code' node — JavaScript .map(), .filter(), .reduce(). Regex.
  • Error handling — Dead Letter Queues. Retry logic. Failure paths.

You'll be able to

  • Write JS to transform any data shape into any other
  • Process arbitrarily large datasets with batching
  • Build self-healing workflows with retries and DLQs
  • Parse messy text with regex without losing your mind
Project

"The Invoice Parser" — A workflow that reads a CSV of 500 orders, calculates tax per country code in JS, generates PDF invoices, and emails them — with full failure recovery.

iv
Weeks 8–10
Objective — Build intelligent, autonomous workers

AI & agentic systems.

Now the LLM enters. Treated as one (powerful) node — wired into agents with memory, tools, and the discipline to call them correctly.

Topics

  • LLM integration — OpenAI (GPT-4), Anthropic (Claude). Prompting for JSON.
  • The AI Agent node — Memory (WindowBuffer), Tools, Chains.
  • RAG — Vector databases (Pinecone / Supabase). Embeddings.
  • Multi-agent — Manager → Researcher → Writer architectures.

You'll be able to

  • Get strict JSON out of an LLM, reliably
  • Give an agent tools and supervise its calls
  • Build a working RAG system end-to-end
  • Architect a multi-agent system with clean delegation
Project

"The HR Policy Bot" — An AI agent connected to a Slack channel that answers employee questions by retrieving from a PDF Employee Handbook stored in a vector database.

v
Weeks 11–12
Objective — Going pro

Enterprise deployment & career strategy.

Ship to production, get paid for it. Self-hosting, versioning, pricing, and the portfolio that gets you hired or hired-by.

Topics

  • Self-hosting — Docker, DigitalOcean, AWS EC2. SSL, VPN, env vars.
  • Version control — Git for workflow backup and team collaboration.
  • Freelancing & pricing — Scoping, SOWs, pricing models.
  • Resume workshop — A portfolio that appeals to CTOs.

You'll be able to

  • Run a production n8n instance on your own infra
  • Manage workflow versions in Git like real code
  • Write a tight SOW and price a project without flinching
  • Ship a portfolio that opens doors
Capstone

"The Industry Capstone" — Find a real business problem (yours or a client's), architect a solution, build it end-to-end, document it, present it. Graded by working automation architects.

How you'll learn

Three delivery formats.

Same curriculum, three ways to consume it. The format choice is about your pace and accountability, not the material.

On-Demand LMS

Full video library with quizzes, downloadable templates, and the n8n workflow files for every project. Go at your own pace; rewatch when you need to.

Self-paced · Lifetime access · Templates

Live Cohorts

12-week intensive with live Zoom labs, weekly office hours, mentorship from working architects, and a peer cohort building alongside you.

Live + mentored · Cohort-based · Capstone review

Corporate Workshops

On-site Automation Bootcamps for companies upskilling their workforce. Customized to your stack, your data, your real internal workflows.

On-site · Custom curriculum · Team-wide
After 12 weeks

Architect, not operator.

What graduates can do that the average "prompt engineering" graduate cannot.

A typical course graduate
  • — Can write a clever prompt
  • — Uses pre-built templates without understanding them
  • — Stops at the first API error
  • — Cannot self-host or deploy
  • — Skills depreciate the moment models change
A Beevolve graduate
  • Architects systems from a blank canvas
  • Reads any API docs, integrates in under an hour
  • Builds self-healing pipelines with retry & DLQ logic
  • Self-hosts production infra with versioning
  • Skills compound across model generations
FAQ

Frequently asked questions.

Is this course suitable for non-technical backgrounds?
Yes. The curriculum is designed to teach engineering fundamentals through low-code systems. We start at "what is JSON" and end at multi-agent architectures — nobody gets left behind, and the visual canvas does most of the heavy lifting in the early weeks.
Will I be job-ready after completing the program?
Graduates are trained to design and own automation systems, not just use tools. The capstone is a real production-grade build — graded by working architects, suitable as a portfolio piece on day one.
How is this different from a prompt engineering course?
Prompt engineering is a small component of one module. Most of the time is spent on system architecture, workflows, APIs, data, and AI integration — the durable skills that don't depreciate when the next model drops.
Do students work on real projects?
Every module includes a production-style project, and the program ends with a real industry capstone. By the end you'll have six portfolio-ready builds, not slides.
Can this help me start an automation agency or freelance?
Yes. The final module covers pricing, scoping, SOW creation, and freelancing fundamentals — and we share the actual contract templates we use in our own client engagements.
Are corporate teams trained as well?
Yes. Customized corporate automation bootcamps are offered on-site, with the curriculum tailored to your stack and your real internal workflows. Cohorts of 8–20 work best.
Investment

Transparent pricing.

Three formats to match where you are. All include access to the same curriculum — the difference is pace, mentorship, and support.

On-demand
₹9,999
one-time · self-paced
  • ✓ All 5 modules + video lessons
  • ✓ Capstone project templates
  • ✓ Community access
  • ✓ Lifetime updates
Enrol now →
Most popular
Live cohort
₹24,999
12 weeks · mentored
  • ✓ Everything in On-demand
  • ✓ Weekly live Zoom labs
  • ✓ Office hours with instructors
  • ✓ Peer cohort (≤30 seats)
  • ✓ Certificate of completion
Apply for next cohort →
Corporate workshop
Custom
on-site or remote · tailored
  • ✓ Custom curriculum for your stack
  • ✓ On-site or remote delivery
  • ✓ Team of 5–50 participants
  • ✓ Post-training support
Get a quote →

Architects ship. Operators wait.

Apply for the next cohort. Twelve weeks, five modules, one real capstone. Limited seats — we cap each cohort at 30 to keep mentorship dense.

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