---
url: "https://xcademia.com/courses/agentic-ai-foundations"
title: Agentic AI Foundations
description: "Learn how agentic AI systems work, including agent workflows, orchestration patterns, and safety guardrails in this mentor-led Agentic AI Foundations course."
publishedAt: "2026-03-16T12:11:51.390229+00:00"
updatedAt: "2026-05-12T12:13:59.103867+00:00"
type: course
code: "FSE-0031"
level: Foundation
duration_days: "2"
track: "AI Agents & Multiagent Systems "
category: "AI, Data & Analytics"
credential_tier: tier1
price_gbp: "1799"
---

# Agentic AI Foundations

> Understand how modern AI agents plan, reason, and use tools to perform tasks. This mentor-led course introduces agent architectures, orchestration patterns, and safety guardrails through practical scenarios.

## Overview

Artificial intelligence is evolving beyond single prompts and models into systems capable of planning, reasoning, and interacting with tools. These systems, often called agentic AI, allow organisations to build autonomous workflows that can analyse information, make decisions, and perform tasks with minimal human intervention.

This mentor-led programme introduces the core principles behind modern AI agents. Participants explore how agents operate, how they interact with tools and data sources, and how orchestration patterns allow multiple agents to collaborate. Through practical scenarios, learners examine how organisations design reliable agent-driven workflows.

The course also introduces safety guardrails, oversight mechanisms, and evaluation approaches that help ensure responsible AI deployment. By the end of the programme, participants will understand how agentic systems work, how they are structured, and how organisations manage risk when deploying AI agents in real environments.

## Prerequisites

- Basic understanding of AI concepts helpful.
- Familiarity with digital tools or automation platforms.
- Interest in AI-driven workflows and automation.

## What you will learn

- Analyse how agentic AI systems operate
- Evaluate agent architectures and workflows
- Implement structured approaches for agent automation
- Communicate agent system concepts to stakeholders
- Evaluate guardrails for responsible AI use
- Analyse orchestration strategies for agent systems

## Skills you will gain

- AI agent fundamentals
- Agent workflow design
- AI orchestration patterns
- Tool integration concepts
- AI guardrails and governance
- Agent evaluation basics

## Career progression

- AI Analyst
- Automation Specialist
- AI Product Associate
- Prompt Engineer
- AI Solutions Consultant

## Curriculum

1. **Module 1: Getting Ready**
   - Programme orientation and learning objectives
   - Overview of modern AI systems
   - Understanding practical scenario exercises
2. **Module 2: Introduction to Agentic AI**
   - What agentic AI means
   - Differences between AI tools and AI agents
   - Capabilities of modern AI agents
   - Role of agents in automation systems
3. **Module 3: Agent Architecture and Components**
   - Planning and reasoning concepts
   - Memory and context management
   - Interaction with tools and APIs
   - Agent lifecycle and execution flow
4. **Module 4: Agent Workflows and Orchestration**
   - Task decomposition and workflow design
   - Sequential and parallel agent workflows
   - Multi-agent collaboration concepts
   - Agent orchestration patterns
5. **Module 5: Tool Use and Data Interaction**
   - Connecting agents to tools and knowledge sources
   - Retrieval and information access concepts
   - Managing external system interactions
   - Data reliability considerations
6. **Module 6: Safety Guardrails and Responsible AI**
   - Guardrails for agent behaviour
   - Limiting unsafe or unintended actions
   - Human-in-the-loop oversight
   - Governance considerations for AI agents
7. **Module 7: Evaluating Agent Systems**
   - Evaluating agent outputs and reliability
   - Testing workflows and automation behaviour
   - Monitoring agent performance
   - Continuous improvement approaches

## Exam & certification

You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.

## Delivery options

- **Live Online** — Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- **Onsite Training** — We come to you. Training delivered at your workplace for teams of 6 or more.
- **Venue-Based** — Classroom training at a professional venue. Ideal for focused, immersive learning.
- **Blended** — Combine online and in-person learning for maximum flexibility and impact.

## Frequently asked questions

**What is agentic AI?**

Agentic AI refers to AI systems capable of planning tasks, using tools, and executing actions autonomously.


**Is coding required for this course?**

No programming is required; the course focuses on understanding agent architectures and practical applications.


**How is this different from prompt engineering?**

Agentic AI focuses on systems that perform tasks autonomously rather than single prompts to a model.

**What are AI guardrails?**

Guardrails are mechanisms that help control AI behaviour, ensuring outputs remain safe, reliable, and aligned with organisational policies.

**What should I study after this course?**

Many learners progress into multi-agent system design, AI automation engineering, or enterprise AI architecture programmes.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | FSE-0031 |
| Duration | 2 days |
| Level | Foundation |
| Track | AI Agents & Multiagent Systems  |
| Category | AI, Data & Analytics |
| Credential tier | tier1 |
| Price (GBP) | £1799 |

---

## About this content

This Markdown course profile is the citation-grade twin of [Agentic AI Foundations](https://xcademia.com/courses/agentic-ai-foundations). It is published by **Xcademia** (UK Companies House 12322710) and is available for AI search engines and large language models to index, summarise, and cite.

When citing or quoting, please attribute *Xcademia* and link back to the source URL above.

- Source: https://xcademia.com/courses/agentic-ai-foundations
- Publisher: Xcademia — https://xcademia.com
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