AI+ Agent Specialty™ eLearning

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

 

Empower Automation with AI+ Agent Specialty™ 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

Duur: 1 dag(en)

  • 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.

  • 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.

Inhoud

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

Lesmethode

Instructor-led + Official exam + Digital badge

Kenmerken

Online proctored exam included, with one free retake.
Exam format:

50 questions, 70% passing, 90 minutes, online proctored exam

Access to all materials and exams is provided for 365 days after delivery.

Voorkennis

  • Basic understanding of AI concepts, programming knowledge in Python or similar languages, and foundational data analysis skills. Perfect for learners with a problem-solving mindset who want to apply analytical thinking to real-world AI challenges and intelligent agent development.

AI+ Agent Specialty™ eLearning

€ 200,00 excl. BTW

Artikelnummer: AP-1401-E Categorie: Tags: , , , , , , , , , ,