AI+ Agent

Hours: 8 / Access Length: 12 Months / Delivery: Online, Self-Paced
Online Hours: 8
Retail Price: $195.00

Course Overview:

Master the future of automation with our beginner-friendly AI+ Agent course, a structured pathway designed to transform AI fundamentals into tangible, real-world results. Through an immersive and action-oriented curriculum, you will tackle practical projects and scenario-based tasks to confidently build, optimize, and deploy high-performance agents. It’s the perfect blend of theory and "doing" for anyone ready to let intelligent automation handle the heavy lifting.

Recommended Prerequisites:
  • Basic Understanding of AI Concepts – Familiarity with core AI principles.
  • Programming Knowledge – Proficiency in Python or similar languages.
  • Data Analysis Skills – Ability to interpret and manipulate datasets.
  • Problem-Solving Mindset – Analytical thinking to address AI challenges.
  • Familiarity with Machine Learning – Understanding basic ML algorithms and techniques.

Course Outline:

Lesson 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
Lesson 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
Lesson 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
Lesson 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
Lesson 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
Lesson 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
Lesson 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
Lesson 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

All necessary course materials are included.


System Requirements:

Internet Connectivity Requirements:

  • Cable, Fiber, DSL, or LEO Satellite (i.e. Starlink) internet with speeds of at least 10mb/sec download and 5mb/sec upload are recommended for the best experience.

NOTE: While cellular hotspots may allow access to our courses, users may experience connectivity issues by trying to access our learning management system.  This is due to the potential high download and upload latency of cellular connections.   Therefore, it is not recommended that students use a cellular hotspot as their primary way of accessing their courses.

Hardware Requirements:

  • CPU: 1 GHz or higher
  • RAM: 4 GB or higher
  • Resolution: 1280 x 720 or higher.  1920x1080 resolution is recommended for the best experience.
  • Speakers / Headphones
  • Microphone for Webinar or Live Online sessions.

Operating System Requirements:

  • Windows 7 or higher.
  • Mac OSX 10 or higher.
  • Latest Chrome OS
  • Latest Linux Distributions

NOTE: While we understand that our courses can be viewed on Android and iPhone devices, we do not recommend the use of these devices for our courses. The size of these devices do not provide a good learning environment for students taking online or live online based courses.

Web Browser Requirements:

  • Latest Google Chrome is recommended for the best experience.
  • Latest Mozilla FireFox
  • Latest Microsoft Edge
  • Latest Apple Safari

Basic Software Requirements (These are recommendations of software to use):

  • Office suite software (Microsoft Office, OpenOffice, or LibreOffice)
  • PDF reader program (Adobe Reader, FoxIt)
  • Courses may require other software that is described in the above course outline.


** The course outlines displayed on this website are subject to change at any time without prior notice. **