Short Course · 20 Hours

The Agentic Professional

"Learn it, Build it, Carry it with you."

⏱ 20 Hours · Integrated Lab & Theory 💻 Runs Locally on Your Desktop 🔒 Privacy-First · Zero Data Leakage

A high-impact deep-dive designed for domain experts to move beyond "AI as a Chatbot" and toward "AI as an Employee." Build autonomous, private, and governed agentic systems that run locally on your machine.

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Course Overview

From "AI as a Chatbot" to "AI as an Employee"

Most AI training stops at prompt-craft. This course goes further. You will install, configure, and ship autonomous agents that execute real work — under your control, on your hardware, with full audit trails. No vendor lock-in. No leaking data to the cloud.

Core Value Pillars

Four pillars. Zero compromise.

Every lab session is built on these four principles — the difference between a demo and a system you can stake your reputation on.

Privacy-First

Use Ollama and n8n Desktop to keep prompts, data, and outputs on your machine. Zero cloud leakage.

Connectivity

Real-world tool integration via MCP (Model Context Protocol). Plug agents into Gmail, Drive, PDFs, and your stack.

Governance

Rigorous focus on Human-in-the-Loop (HITL) approvals, PII filters, and full audit trails on every action.

Evaluation

Move from "vibes" to Evals. Quantitative benchmarks, regression suites, and red-team exercises.

20-Hour Syllabus

Five modules. One shippable agent.

Each module is integrated lab + theory — you finish the day with running code, not slides.

The Local Ecosystem

Install and configure the “Agentic Stack” (Ollama + n8n). Build your first local triage agent using Micro-models.

Outcome A running local agent on your laptop — no cloud account required.

The Connected Agent

Connect agents to Gmail, Drive, and PDFs. Learn Instruction-Data Separation and Markdown best practices.

Outcome An agent that reads your inbox & documents and writes clean structured output.

Multi-Agent Swarms

Orchestrate collaborative teams (Researcher + Critic). Introduction to agent-cli for system-wide shortcuts.

Outcome A two-agent workflow that argues with itself and produces a better result.

Governance & Eval

Implement PII filters and HITL gates. Run Red-Teaming exercises and scientific Evals using agents-cli eval.

Outcome A governed agent with an automated eval harness you can re-run any time.

The Capstone

Build, test, and package your Domain Partner. Document using YAML frontmatter for enterprise readiness.

Outcome A packaged, documented agent — ready to hand to your team.

FAQ

Questions, answered.

Who is The Agentic Professional course for?

Working professionals and domain experts who want to move beyond using AI as a chatbot and start building autonomous, private, governed AI agents that run on their own machine. No prior LLM-engineering experience is required.

How long is the course and how is it delivered?

20 hours total, delivered as integrated lab and theory. Each module ends with running code, not slides.

What tools and technologies will I learn?

Ollama, n8n Desktop, MCP (Model Context Protocol), agent-cli, Human-in-the-Loop (HITL) gates, PII filters, and quantitative evaluation harnesses.

Do I need to send my data to the cloud?

No. The course is privacy-first. All agents you build run locally on your laptop using Ollama and n8n Desktop, so prompts, data, and outputs never leave your machine.

How do I enrol?

Click Enrol Now on this page to apply via municampus.com, call +91 7777 066 810, or email admissions@aegis.edu.in.