AI+ Agent (AP 1401 Self-Paced Training)
Ziele der Schulung
Empower businesses and professionals with the skills to design, deploy, and scale intelligent AI agents that automate workflows and deliver business value. This certification equips learners with practical knowledge of AI agent fundamentals, tools, workflows, integration techniques, responsible deployment practices, and hands-on experience building real agents. What Will You Learn? – Understanding AI agents and ecosystems, building and deploying agents, multi-agent systems, monitoring and guardrails, workflow automation, and completing a capstone project designing your own intelligent agent.
Zielgruppe Seminar
- Aspiring AI Professionals interested in automation and intelligent systems.
- Software Developers & Engineers (Python or similar programming)
- Data Analysts & Data Scientists looking to operationalize insights through intelligent agents.
- Product Managers & Tech Leaders overseeing AI agent solutions.
- Automation & Operations Specialists aiming to optimize processes with AI.
Voraussetzungen
Seminarinhalt
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 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 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
Hinweise
Prüfung und Zertifizierung
- Duration: 90 minutes
- Passing Score: 70% (35/50)
- Format: 50 multiple-choice/multiple-response questions
- Delivery Method: Online via proctored exam platform (flexible scheduling)
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Übersicht: AI Certs Schulungen Portfolio
