Artificial Intelligence and Machine Learning Courses

AI+ Agent - Self-paced

Length 365 days access
Inclusions Online exam

Course overview

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Why study this course

The AI+ Agent n course designed for business professionals, IT practitioners, AI leaders, and developers seeking to build practical expertise in AI-driven automation and intelligent systems. This course equips participants to design, deploy, and manage autonomous AI agents that perform tasks, make decisions, and integrate across business workflows, enabling organisations to improve efficiency and drive innovation.

Throughout the course, learners explore the end-to-end lifecycle of AI agent development, including building simple and multi-agent systems, integrating APIs and workflows, and applying responsible AI practices. With a strong emphasis on hands-on learning, participants gain practical experience using no-code and low-code tools, developing real-world solutions that enhance productivity, automate processes, and support scalable business transformation.

Exam and certification

This course prepares students for the corresponding certification. The exam/assessment is completed online and provided as part of the course content.

The exam is:

90 minutes
50 multiple choice / multiple response questions
Pass mark is 35 out of 50 (i.e. 70%)
Online via AI Proctoring platform

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What you’ll learn

This course is designed to teach participants how to:

Create and deploy AI agents using no-code and low-code platforms
Apply agent-based solutions to practical use cases such as personal assistants, customer support, and sales automation.
Integrate APIs, managing workflows, and connecting essential system components.
Implement ethical, secure, and responsible AI practices throughout the agent-building process.
Automate tasks, solve complex problems, and build scalable AI-driven systems across industries.

AI CERTs at Lumify Work

AI CERTs® stands at the forefront of AI and blockchain certification, offering world-class programs that prepare individuals to lead in these rapidly growing fields. AI CERTs courses and certifications are vendor agnostic and designed to bridge the gap between theoretical knowledge and practical application, ensuring learners are equipped to make an immediate impact in their careers.
Lumify Work is a Platinum Authorized Training Partner for AI CERTs in Australia, New Zealand, and the Philippines.

View all AI CERTs at Lumify Work courses

Who is the course for?

This course is intended for:

Business Professionals Seeking AI Integration
Tech and IT Practitioners
Data and Analytics Enthusiasts
Innovation and Strategy Leaders
Career Changers Entering AI

Course subjects

Module 1: Introduction to AI Agents

Understanding AI Agents
Anatomy and Ecosystem of AI Agents
Applications, Misconceptions, and Mini Case Studies
Case Study: Transforming Customer Support at Acme Retail with AI Agents
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

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

Module 3: Tools for Non-Coders

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

Module 4: Building Simple Agents

Agent 1
Agent 2
Agent 3
Agent 4
Troubleshooting and Validation of AI Agents
Share Your AI Agent
Hands-On Exercise 1

Module 5: Multi-Tool Agents and Workflow Automation

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

Module 6: Integration, Application Mapping & Deployment

Deploying Agents
Channel Selection – Where the User Will Interact
Hosting Environment – Where Does the Agent Run?
Data Integration
Security Setup
Monitoring & Updates
Application Mapping
Hands-on Exercise 1: Integration of a Portfolio Assistant Chatbot into GitHub Pages using Zapier

Module 7: Integration, Application Mapping & Deployment

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

Module 8: Capstone Project – Design Your Own Intelligent Agent

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

Prerequisites

Familiarity with core AI principles.
Proficiency in Python or similar languages.
Ability to interpret and manipulate datasets.
Analytical thinking to address AI challenges.
Understanding basic ML algorithms and techniques.

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.