AI+ Agent™

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

$90.00

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Intermediate
AI+ Agent.
24h
1 Year.
$90.00
Training 5 or more people?

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

  • 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
  • Industry Recognition: A specialized credential that signals strong capability in AI agent design, deployment, and management.
  • Career Differentiation: A standout addition to your profile that highlights expertise in AI-powered automation and intelligent workflows.
  • Hands-on Proficiency: Demonstrated experience using agent-building tools, frameworks, and best practices to solve real problems.
  • Business Value Creation: Proven ability to build agents that streamline operations, elevate customer experiences, and drive measurable ROI.
  • Future-ready Skill Set: Strong alignment with the growing demand for AI agents across industries, keeping your skills relevant and competitive.

Course Curriculum

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

Learning Objectives

  • Learn to Build Intelligent Agents – Develop a strong understanding of creating and deploying AI agents using no-code and low-code platforms.
  • Grasp Real-World AI Applications – Apply agent-based solutions to practical use cases such as personal assistants, customer support, and sales automation.
  • Develop Workflow & API Integration Skills – Gain hands-on experience integrating APIs, managing workflows, and connecting essential system components.
  • Apply Responsible AI Principles – Understand and implement ethical, secure, and responsible AI practices throughout the agent-building process.
  • Equip Yourself to Automate & Scale – Gain the capability to automate tasks, solve complex problems, and build scalable AI-driven systems across industries.

Resource Center

  • Videos, Use cases, Workshops, E-books and tools.

Target Audience

  • Aspiring AI Professionals.
  • Software Developers & Engineers.
  • Data Analysts & Data Scientists.
  • Product Managers & Tech Leaders.
  • Automation & Operations Specialists.

Job Roles & Industry Outlook 

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Conversational & Virtual Agent Designer
Create intelligent customer-facing agents that handle inquiries, personalize interactions, and enhance user experiences across digital channels.
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utomation & Operations Lead
Oversee deployment, monitoring, and optimization of Al agents to ensure reliability, scalability, and continuous improvement in automated processes.
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Al Agent Product Manager
Define strategy, roadmap, and performance metrics for agent-based products and platforms that drive business value and innovation.
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Head of Intelligent Agent Transformation
Lead organization-wide adoption of Al agents, aligning technology, teams, and processes to enable scalable, autonomous operations.
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Al Agent Solutions Architect
Design and implement end-to-end Al agent ecosystems that automate complex workflows and integrate seamlessly with enterprise systems.

Exam Information

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Duration
90 minutes
Passing Score Icon-71608a
Passing Score
70% (35/50)
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Format
50 multiple-choice/multiple-response questions
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Delivery Method
Online via proctored exam platform (flexible scheduling)
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Fees include
One year of access to course content, including continuous updates. Certification exam. One exam re-take.

Exam Blueprint:

Introduction to AI Agents – 7%
Core Concepts and Types of AI Agents – 15%
Tools for Non-Coders – 15%
Building Simple Agents – 15%
AI Agent Builder – 12%
Integration, Application Mapping & Deployment – 12%
Monitoring, Guardrails & Responsible AI – 12%
Capstone Project – Design Your Own Intelligent Agent – 12%

Explore our Schedules

Apr 12 - Apr 14
GMT 09:00 AM - 05:00 PM
In-person
In-Person
Cairo
369.6$
3 Days
Sep 6 - Sep 8
GMT 09:00 AM - 05:00 PM
In-person
In-Person
Cairo
369.6$
3 Days
Jun 12 - Jun 28
GMT 06:00 PM - 10:00 PM
LVT
LVT
Zoom
280$
6 Days
Aug 30 - Sep 6
GMT 06:00 PM- 10:00 PM
LVT
LVT
Zoom
280$
6 Days
Nov 15 - Nov 22
GMT 06:00 PM- 10:00 PM
LVT
LVT
Zoom
280$
6 Days

Certificate of Completion

AI+ Agent.

AI-Healthcare-Certificate-Blurred 1

$90.00

ChartBar (1)-51bd46
Intermediate
AI+ Agent.
24h
1 Year.
$90.00
Training 5 or more people?

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