AI+ Agent™

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

$90.00

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 

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

Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via proctored exam platform (flexible scheduling)
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
Cairo
369.6$
3 Days
Sep 6 - Sep 8
GMT 09:00 AM - 05:00 PM
In-person
Cairo
369.6$
3 Days
Jul 29 - Aug 5
GMT 06:00 PM - 10:00 PM
LVT
Zoom
396.8
6 Days
Dec 13 - Dec 20
GMT 06:00 PM- 10:00 PM
LVT
Zoom
396.8$
6 Days

Certificate of Completion

AI+ Agent.

$90.00

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

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