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AI Agent Course

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

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AI Agent course
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The AI+ Agent certification validates your ability to use AI tools and technologies to solve real business problems. You learn how to apply AI-driven decision-making, understand natural language processing, and grasp core machine learning concepts so you can integrate intelligent solutions into different professional environments.
This certification also equips you with practical skills for implementing AI strategies, optimizing workflows, and driving innovation in your organization. By earning it, you demonstrate strong proficiency in AI technologies, strengthen your credibility, and expand your career opportunities in today’s rapidly evolving tech landscape.

From Oversight to Foresight: Why AI Agent Mastery is the Ultimate PM Career Accelerator

In the evolution of project management, we are moving from “Project Managers as Coordinators” to “Project Managers as Orchestrators.” While traditional tools track what has happened, AI Agents are designed to act, reason, and execute autonomously.

By mastering the AI+ Agent™ framework, you aren’t just learning about automation; you are learning how to build a digital workforce that aligns with the highest standards of PRINCE2 and Scrum.

1. Automating the “Admin” in PRINCE2 Governance

PRINCE2 is famously documentation-intensive. Managing the Issue Register, Quality Register, and Daily Log can consume a PM’s entire week.

  • The Agent Advantage: With this specialization, you’ll learn to deploy agents that can monitor project communications, flag deviations from the Project Initiation Documentation (PID), and draft highlight reports in real-time. You move from manual record-keeping to high-level governance.

2. Supercharging Scrum Velocity with “Agentic” Workflows

In a Scrum environment, “Blocking Issues” are the enemy of velocity.

  • The Agent Advantage: Imagine an AI Agent integrated into your Slack or Jira that doesn’t just track tickets but actively identifies missing requirements, pings stakeholders for approvals, or even drafts User Stories based on raw meeting transcripts. This course gives you the hands-on skills to build these “Team Assistants,” allowing your developers to stay in the “Flow State” while you manage the system.

3. Scaling Responsible AI (Guardrails & Ethics)

Every Project Manager is ultimately a Risk Manager. Deploying AI is risky; deploying autonomous agents is even riskier.

  • The Candidate Edge: This certification specifically covers Monitoring, Guardrails, and Responsible AI. As a PM, this is your strongest selling point. You will be the candidate who knows how to implement “Human-in-the-loop” frameworks, ensuring that AI agents operate within ethical boundaries and corporate compliance—protecting the business while driving innovation.

4. Integration & Application Mapping

Whether you are managing a waterfall project or a lean startup, the ability to map how AI agents interact with existing APIs and legacy systems is a rare, high-value skill. You will graduate with the ability to bridge the gap between technical “AI Architects” and business-focused “Stakeholders,” ensuring that AI solutions actually deliver the ROI promised in the Business Case.

The Competitive Edge: A certification in AI Agents proves to employers that you can lead the next generation of “Autonomous Projects.” You aren’t just managing the work; you are managing the intelligent systems that do the work.

You will learn

  • 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.

Skills You’ll Gain

  • AI Agent Architecture & Design
  • Conversational & Task-Oriented Agent Building
  • Multi-Agent System Orchestration
  • Tool & API Integration
  • Intelligent Workflow Automation
  • Context Management & Prompt Engineering
  • Agent Monitoring & Optimization
  • Human-in-the-Loop Supervision
  • Responsible & Trustworthy Agent Deployment

Who chould enroll?

  • Aspiring AI Professionals: Learners looking to break into AI by building practical experience with intelligent agents and automation.
  • Software Developers & Engineers: Python or similar language programmers who want to design, integrate, and deploy AI agents into real applications.
  • Data Analysts & Data Scientists: Professionals who work with data and want to operationalize insights through AI-driven agents and workflows.
  • Product Managers & Tech Leaders: Decision-makers aiming to understand, plan, and oversee AI agent solutions that enhance products and services.
  • Automation & Operations Specialists: Those focused on process optimization who want to replace repetitive tasks with smart, autonomous AI agents.

Prerequisites

  • 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.

Tools you will explore

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

Tool PythonTool LangChainTool LlamaIndexTool OpenAI API

Tool Hugging Face InferenceTool Multi-Agent Orchestration FrameworksTool Vector Databases (e.g., Pinecone, Chroma)Tool Workflow Orchestration (e.g., Airflow, Prefect)

Tool Jupyter NotebooksTool DockerTool Prompt Engineering Platforms

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
Yes, this certification is highly practical, focusing on building and deploying AI agents for real workflows. You’ll be able to apply agent-based automation directly to business processes, customer journeys, and internal operations.
This certification focuses specifically on intelligent agent design, orchestration, and deployment—going beyond theory to show how agents can act, decide, and collaborate across tools, apps, and systems in real business environments.
You’ll build task-oriented and conversational agents, multi-agent workflows, tool-using agents, and process-automation solutions—mirroring real organizational use cases like support automation, internal copilots, and workflow agents.
The course combines expert-led lessons, guided labs, and project-based learning where you design, configure, and deploy agents end-to-end, ensuring you gain hands-on, implementation-ready skills—not just conceptual knowledge.
It equips you with in-demand skills in agent building, orchestration, and automation, along with a portfolio of agent projects that align with emerging roles in AI engineering, automation, and intelligent systems design.

Exam Details

  • Duration 90 minutes
  • Passing Score 70% (35/50)
  • Format 50 multiple-choice/multiple-response questions
  • Delivery Method Online via proctored exam platform (flexible scheduling)

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%

Includes in this course

857,83 

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Industry Growth: Creating Informed, AI-Ready Workforces Globally

  • AI market is expected to reach $190.61 billion by 2025, growing at a CAGR of 42.2% (Source: Grand View Research).
  • AI-driven solutions are transforming industries, with businesses leveraging AI to streamline operations, improve decision-making, and drive innovation.
  • AI in customer service is projected to grow exponentially, with automation and AI chatbots becoming integral in enhancing customer experiences and reducing operational costs.
  • AI adoption in healthcare is accelerating, offering improvements in diagnostics, treatment recommendations, and personalized care, opening new opportunities for AI professionals.
  • AI’s impact on legal, financial, and manufacturing sectors is profound, reshaping business models, and creating lucrative career paths for professionals skilled in AI technologies.

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Who We Are?

Accredited Organization

Mentorix is an accredited training organization by AXELOS, PeopleCert, APMG International, DevOps Institute, Digital marketing institute, SCRUM Study and AI CERTs. Our courses, materials, and trainers meet the high standards set by these organizations. All trademarks, including PRINCE2®, ITIL®, AgilePM®, and others, are used with permission from their respective owners.

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AI Agent Course

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Split your payment and pay a fixed low price for 12 months 695 DKK per month
Split your payment and pay a fixed low price for 12 months 695 DKK per month

We offer you to split your payment for your course into instalments of 695 DKK over 12 months.

  • Full certification – course, and manual
  • 12 months access to all courses
  • Paid monthly via debit card

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AI Agent Course

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