Learn AI Automation from the Top Automation Expert in Nepal
Learn how to build real AI automations with n8n, Make.com, AI tools, and modern workflow systems through practical teaching, private workshops, and implementation-focused sessions.
Three private tracks. One built for you.
n8n is for builders who want to own the stack. Make.com is for operators who want to ship visually. AI Automation is for leaders deciding when AI belongs in the workflow at all. Pick the one that matches how you actually work.
Learn n8n
Self-hostable, code-friendly, infinitely extensible.
You want to own your automations end to end self hosted, version, fork, extend with code, and bolt AI agents onto the same workflow engine.
- Developers, technical founders, and engineering teams
- Anyone who wants to self-host and own their automation stack
- Builders adding AI agents and RAG into a workflow engine they control
- Teams comfortable with Git, Docker, JavaScript, and JSON
- People who want code escape hatches when the visual tool isn't enough
Learn Make.com
Visual scenarios that ship fast and stay maintainable.
You want to launch automations quickly without managing infrastructure. You think visually, you live inside the business workflow.
- Ops, sales, support, and marketing teams shipping every week
- Non-technical founders who think in flowcharts, not code
- Agencies running automations across multiple clients
- Teams that need every automation to be readable by the next teammate
- Anyone who wants visual wins without touching servers
Learn AI automation
Tool-agnostic. Architecture-first. Built around your real workflow.
You're not just learning a tool, you're learning how to think about AI. Where it belongs, where it actively hurts, and how to design systems that survives.
- Founders deciding when to bet on AI vs. simple automation
- Product leaders scoping their first or next AI pilot
- Teams stuck choosing between n8n, Make.com, Zapier, and custom code
- Anyone leading AI adoption without a real framework yet
- Leaders who want to defend AI decisions with cost, latency, and risk math
What you won't get. What you actually will.
Most AI automation courses are theatre. They teach the tool and workflow without teaching the thinking. The sessions here are the opposite, focused on the small and unglamorous decisions that decide whether your automation still works a year later from now.
What you won't get
- Pre-recorded videos you watch alone on 1.5× speed
- Theoretical AI lectures with slides that never run
- Random templates dropped without context or maintenance
- Hype about 'vibe automation' or AI replacing your team
- A one-size-fits-all curriculum copied from a YouTube playlist
What you'll actually get
- Live sessions inside YOUR workflow, on YOUR accounts
- Async support between sessions when something breaks
- Working automations you can run on Monday morning
- A decision framework you'll re-use for years, not weeks
- A direct line to ask the small questions later — no ticket queues
How private AI automation training proceeds.
Follow the learning workflow from discovery call to roadmap, live sessions, testing, clarification, and final handover for n8n, Make.com, and AI automation training in Nepal or online.
Scope your goals, tools, current skill level, and the automation workflow you want to learn.
Turn the discovery call into a private n8n, Make.com, or AI automation training plan.
Build live with real accounts, real data, and practical workflow automation examples.
Run the automation, inspect edge cases, and test whether the workflow works in practice.
Clear up implementation questions, tool confusion, errors, and handover details.
Leave with a working automation, a repeatable learning path, and next-step confidence.
The questions people actually ask before booking.
Honest answers about platforms, pricing, language, timeline, and what AI automation training in Nepal looks like in practice.
Prakhyat Shrestha is one of the most recognised AI automation experts in Nepal, specialising in n8n, Make.com, and production AI workflows. The training is hands-on, built around real client workflows shipped across South Asia and globally — not borrowed YouTube curriculum.
If you're technical and want full control, start with n8n — it's self-hostable, code-friendly, and has stronger AI agent primitives. If you want to ship visually without touching infrastructure, start with Make.com. The AI Automation track covers both and helps you pick by use case, not by preference.
Yes. The Make.com track and the strategy portion of the AI Automation track require zero coding. You work entirely inside visual scenarios and AI modules. The n8n track is friendlier if you are comfortable with light JavaScript and JSON, but it is still doable without it.
Most learners ship their first useful automation within 2 to 3 live sessions. A confident production-grade build with error handling, monitoring, and AI logic typically takes 6 to 8 sessions over 4 to 6 weeks. Real autonomy — being able to scope and architect new workflows independently — is usually around 3 months of weekly practice.
Training is delivered as private 1:1 or team sessions, priced per engagement. Pricing depends on track length, team size, and whether implementation is included. Book a free 30 minute call to scope the right format and get a quote tailored to your workflow.
For build sessions, yes — you need API access to at least one model provider (Claude, OpenAI, Gemini, or an open-source endpoint). The strategy portion can be done without any paid AI subscriptions. The sessions also cover how to choose providers and how to keep costs under control.
Both. Sessions are delivered fully in English, fully in Nepali, or mixed depending on what is most useful for you and your team. All written documentation, code, and references stay in English so they remain usable globally.
Yes. Team workshops are available for ops, sales, support, and product teams. Group sessions are designed so each role leaves with workflows that touch their part of the business — not generic AI demos.
Both. Many engagements start as training and roll into a build-with-me sprint where the automation is implemented alongside you. If you would rather skip the training and have it fully built, see the AI Automation and Automation services pages — that is a separate engagement.
n8n is open-source, self-hostable, code-friendly, and gives full ownership of your automations and data. Make.com is a cloud-only visual platform with thousands of pre-built modules and is faster for non-technical teams to start with. n8n is stronger for AI-heavy workflows and complex logic. Make.com is stronger for fast, visual ops work. Both are excellent in 2026.
Learn AI Automation, Beyond the Hype
Book a call and tell me your current level, the tools you want to learn, and the workflow you want to build.