AI+ Agent Specialty™

Course code: NPAP1401

Formerly known as AI+ Agent™

Empower businesses with AI+ Agent Specialty™ to design, deploy, and scale intelligent agents.

Empower Automation with Intelligent AI Agents

Built for Beginners Designed for learners new to AI agents, offering step-by-step learning path that helps you build confidence as you progress from fundamentals to real applications.
Engaging Learning Experience Explore core concepts of AI agents through intuitive tools and practical workflows. You’ll learn to understand, create, and launch automated agents effectively in real-world scenarios.
Hands-On Capability Building Through guided projects, real-use scenarios, and applied exercises, you’ll gain the skills to craft, refine, and demonstrate high-performing AI agents that automate tasks efficiently and intelligently.

75 EUR

91 EUR including VAT

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Course description
Course structure
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Course dates

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 285 EUR

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 75 EUR

	Starting date	Type	Course duration	Language	Price without VAT
G	Upon request	Self-paced	8 hours	en	285 EUR	Register

G	Upon request	Self-paced	8 hours	en	75 EUR	Register
G	Guaranteed course

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Course description

Agent Foundations:

Understand AI agent fundamentals, architectures, and real-world use cases across different industries and workflows.

Agent Design & Building:

Design and build task-oriented and conversational agents using modern frameworks, tools, and APIs.

Multi-Agent Orchestration:

Orchestrate multi-agent systems that collaborate, share context, and handle complex, end-to-end workflows.

Performance & Optimization:

Implement monitoring, evaluation, and optimization strategies to improve agent performance, reliability, and user experience.

Responsible Deployment:

Apply best practices for secure, ethical, and human-in-the-loop deployment of AI agents in production environments.

Course structure

Module 1: Introduction to AI Agents

1.1 Understanding AI Agents
1.2 Anatomy and Ecosystem of AI Agents
1.3 Applications, Misconceptions, and Mini Case Studies
1.4 Case Study: Transforming Customer Support at Acme Retail with AI Agents
1.5 Hands-On Exercise 1: Build a Q&A ChatBot Using Gemini + Prompt + LLM Chain in Flowise Cloud

Module 2: Core Concepts & Types of AI Agents

2.1 Anatomy of an AI Agent
2.2 Classification of AI Agents
2.3 Matching Agents to Use Cases
2.4 Case Study: Enhancing Mental Health Support with AI Agents at Earkick
2.5 Hands-On Exercise

Module 3: Tools for Non-Coders

3.1 No-code and visual agent platforms
3.2 Tools Overview and Setup
3.3 Start building: “Your First Flow” with n8n
3.4 Case Study: Empowering HR with AI – Building an Onboarding Assistant Without Coding
3.5 Hands-on Exercise

Module 4: Building Simple Agents

4.1 Agent 1
4.2 Agent 2
4.3 Agent 3
4.4 Agent 4
4.5 Troubleshooting and Validation of AI Agents
4.6 Share Your AI Agent
4.7 Hands-On Exercise 1

Module 5: Multi-Tool Agents and Workflow Automation

5.1 Multi-Tool Agents
5.2 Agent Chaining and Workflow Basics
5.3 Managing Agent State: State, Context, and User Journey
5.4 Prompt Engineering for Agents
5.5 Multi-Agent Systems (MAS)
5.6 Case Study: Smarter Marketing Campaigns with Tool Chaining
5.7 Hands-on Exercise: Automating Order Tracking and Notifications with Make.com

Module 6: Integration, Application Mapping & Deployment

6.1 Deploying Agents
6.2 Channel Selection – Where the User will Interact
6.3 Hosting Environment – Where does the Agent Run?
6.4 Data Integration
6.5 Security Setup
6.6 Monitoring & Updates
6.7 Application Mapping
6.8 Hands-on Exercise 1: Integration of a Portfolio Assistant Chatbot into GitHub Pages using Zapier

Module 7: Monitoring, Guardrails & Responsible AI

7.1 Observability Basics
7.2 Performance Evaluation: Key Metrics
7.3 Guardrails: Preventing Misuse & Ensuring Safe Outputs
7.4 Responsible AI
7.5 Mini-Case: Failure and Recovery in Agent Deployments
7.6 Real-world Failures
7.7 Peer Sharing: How to Present and Discuss Agent Logs/Results

Module 8: Capstone Project – Design Your Own Intelligent Agent

8.1 Capstone Project 1: Smart Personal AI Assistant
8.2 Capstone Project 2: Smart Lead Engagement – From Email to Personalized Outreach – Sales Support Agent
8.3 Capstone Project 3: Education Tutor Agent
8.4 HR Knowledge Bot
8.5 Customer Service Agent
8.6 Healthcare Triage Bot