AI+ Agent Specialty™

Ártól 80 000 Ft + Áfa
Önálló online Azonnal kezdhető
Időtartam 8 óra tananyag, önálló tempóban
Nyelv angol
Terület AI Specialization

Kinek szól
Mit tartalmaz az ár
Tematika
A vizsgáról

Áttekintés

Miről szól a képzés

A kurzus, a tananyag és a vizsga angol nyelvű. Az alábbi leírás az AI CERTs® eredeti szövege.

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

Előfeltételek

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.

Célcsoport

Kinek szól

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.

Az árban

Mit tartalmaz az ár

Önálló tempójú online kurzus, a teljes tananyaggal
A hivatalos AI CERTs® vizsga
Digitális badge a sikeres vizsga után

Tananyag

Tematika

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

Vizsga

A vizsgáról

50 Kérdés
90 perc Időkeret
70% Ponthatár

Online proctored exam

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