AI+ Agent™ eLearning

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

Empower Automation with AI+ Agent™ for intelligent, efficient task execution


* Beginner-Friendly Pathway: Perfect for learners stepping into the world of AI agents, offering simple, structured guidance for confident skill-building
* Immersive Learning Experience: Combines essential AI agent fundamentals, intuitive tools, and real-world workflows to help you understand, build, and deploy automated agents
* Action-Oriented Skill Development: Features practical exercises, scenario-based tasks, and guided projects so you can design, optimise, and showcase high-performance AI agents with ease

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 Tools you will explore

* Python
* LangChain
* LlamaIndex
* OpenAI API
* Hugging Face Inference
* Multi-Agent Orchestration Frameworks
* Vector Databases (e.g., Pinecone, Chroma)
* Workflow Orchestration (e.g., Airflow, Prefect)
* Jupyter Notebooks
* Docker
* Prompt Engineering Platforms

Exam: 50 questions, 70% passing, 90 minutes, online proctored exam

Instructor-led OR Self-paced course + Official exam + Digital badge