AI+ Agent™

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

Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam

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