Individual Courses
Intermediate·AI & Automation

Agentic AI & Workflow Automation

Build the automations that replace hours of manual work, the way production teams actually build them. Learn AI agent architectures, multi-step workflows, and enterprise-grade automation with n8n, Make, and Python.

5 Weeks10–12 hrs/wkIntermediate

Who This Is For

  • Working IT professionals who want to build real AI automation systems
  • Backend developers looking to add AI/LLM skills to their stack
  • DevOps and platform engineers automating internal workflows
  • Technical founders building AI-powered products or internal tools
  • Data engineers who want to integrate LLMs into existing pipelines

How This Course Works

  1. 1

    Build production systems

    No toy examples - every project is designed to handle real data at real scale.

  2. 2

    Code + no-code combined

    Use Python for custom agents and n8n/Make for rapid workflow prototyping.

  3. 3

    Weekly deployments

    Every week you deploy something: a bot, a pipeline, a RAG system.

  4. 4

    Architecture reviews

    Mentors review your system design, not just your code - like a real engineering team.

Technologies You'll Learn

Pythonn8nMakeOpenAI APIClaude AI

What You'll Learn

Understand AI agent architectures: ReAct, tool-use, and multi-agent systems

Build advanced automation workflows with n8n and Make

Create custom AI agents with Python and LLM APIs (OpenAI, Anthropic)

Implement RAG (Retrieval-Augmented Generation) for enterprise knowledge bases

Deploy and monitor AI automation systems in production environments

Prerequisites

  • Basic Python programming or equivalent coding experience
  • Familiarity with APIs and JSON data structures

Course Syllabus

5 modules

  • The landscape of AI automation in 2026: agents, workflows, and copilots
  • LLM fundamentals: tokens, context windows, temperature, and structured output
  • Prompt engineering patterns that work: chain-of-thought, few-shot, system prompts
  • Building your first LLM-powered automation with Python and the OpenAI API

Projects You'll Build

  1. 1Build a multi-agent document processing pipeline that classifies, extracts, and routes information
  2. 2Deploy an AI-powered internal tool that answers questions from your company knowledge base

Enrollment

Enroll today. Start learning immediately.

NPR 15,000

or 2 x NPR 8,000

Python basics required

Duration5 Weeks
Commitment10–12 hrs/wk
FormatLive + Recorded
LevelIntermediate

Seats are limited. Reserve yours today.

Price

NPR 15,000