Course Overview

The AI+ Agent Specialty certification is designed to validate professionals’ expertise in utilizing artificial intelligence tools and technologies to solve business problems. The certification covers key areas such as AI-driven decision-making, natural language processing, machine learning fundamentals, and AI application in various industries. Aimed at professionals seeking to advance their careers in AI, this certification equips individuals with the practical skills necessary for implementing AI strategies, optimizing workflows, and driving innovation. Achieving the AI+ Agent certification demonstrates proficiency in AI technologies, boosting credibility and enhancing job prospects in the rapidly evolving tech landscape.

Course Objectives

By the end of the training, participants will be able to:

• Master Agent Architecture: Design memory, reasoning, and decision systems.
• Automate Workflows: Build autonomous agents using external APIs.
• Apply Tech Tools: Use modern frameworks like LangGraph and CrewAI.
• Ensure Guardrails: Monitor performance, safety, and ethical compliance.

Who Should Attend?

This training is ideal for: 

• Developers: Engineering building dynamic structures of AI logic
• Data Scientists: Specialists integrating action-oriented design patterns
• Product Leaders: Architect scaling multi-agent API ecosystems
• Business Analysts: Professionals automate departmental workflows

Pre-requisite

• 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 

Module 1: Introduction To AI Agents

• 1.1: Understanding of AI Agent
• 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 Retails 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 AI Agent
• 2.2: Classification of AI Agents
• 2.3: Matching Agents of Use Cases

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 on Onboarding Assistant Without Coding
• 3.5: Hands-on Exercise

Module 4: Building Simple Agents

• 4.1: Agent 1: AI-Powered HR Policy Assistant
• 4.2: Troubleshooting and Validation of AI Agents
• 4.3: Share Your AI Agent
• 4.4: Hand-On Exercise 1: Design and Implementation of an AI-Powered Research Assistant using Flowise

Module 5: Multi-Tools Agent and Workflow Automation

• 5.1: Multi-Tool Agent
• 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 System
• 5.5: Case Study: Chaining Tools for Smarter Marketing Campaigns
• 5.5: Hands-on Exercise 1: Automating Order Tracking and Real-Time Notifications using Make.com

Module 6: Integration, Application Mapping & Deployment

• 6.1: Deploying Agents
• 6.2 Channel Selection
• 6.3 Hosting Environment 
• 6.4 Data Integration
• 6.5 Security Setup 
• 6.6 Monitoring & Updates
• 6.7 Application Mapping

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
• 8.3 Capstone Project 3: Education Tutor Agent
• 8.4 HR Knowledge Bot 
• 8.5 Customer Service Agent
• 8.6 Healthcare Triage Bot