AI+ Data Agent Specialty™
- Ártól 200 000 Ft + Áfa
- Önálló online Azonnal kezdhető
- Időtartam 8 óra tananyag, önálló tempóban
- Nyelv angol
- Terület AI Data & Robotics
Áttekintés
Miről szól a képzés
A kurzus, a tananyag és a vizsga angol nyelvű. Az alábbi leírás az AI CERTs® eredeti szövege.
- Empowering the Future with AI+ Data Agent Specialty™: Shaping Smarter Decision-Makers
- Beginner-Friendly Certification: Perfect entry point to understand data-driven AI concepts and automation tools
- Comprehensive Foundation: Explores AI data handling, analytics, and real-world business insights
- Open to All: Designed for learners with curiosity about using data and AI for smarter outcomes
Előfeltételek
Basic understanding of data management, analytics, and automation, with interest in AI-driven analysis and intelligent agent design. Ideal for learners seeking hands-on experience, industry recognition, and future-ready expertise in data systems, analytics, and autonomous technologies.
Célcsoport
Kinek szól
Data Professionals: Ideal for data analysts, engineers, and scientists looking to enhance their expertise with AI-driven automation.
Business Strategists: Perfect for professionals aiming to leverage data intelligence for informed and strategic decision-making.
AI Enthusiasts: Designed for learners passionate about integrating AI with data management and intelligent systems.
Tech Innovators: Suited for individuals exploring automation, predictive analytics, and autonomous data solutions.
Aspiring Leaders: Ideal for professionals seeking to lead AI transformation initiatives and drive data-driven innovation within their organizations.
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 What is an AI Agent? 1.2 Components of AI Agents 1.3 Types of AI Agents 1.4 Hands on: No-Code AI and Machine Learning Models for Data Agents
Module 2: Data Agents and Their Role in AI Systems
2.1 AI Data Agents 2.2 AI vs. AI Data Agent 2.3 Components of AI Data Agents 2.4 Types of AI Data Agents 2.5 Existing AI Data Agents in Trend
Module 3: Data Collection and Acquisition for AI Data Agents
3.1 Steps in AI Data Collection Structure & Plan 3.2 Methods of Data Collection
Module 4: Data Pre-processing and Feature Engineering
4.1 Data Cleaning and Transformation 4.2 Feature Engineering for AI Models 4.3 No-Code AI Data Agent for Preprocessing & Feature Engineering
Module 5: AI and Machine Learning Models for Data Agents
5.1 Introduction to Machine Learning Models for Data Agents 5.2 Model Selection and Training 5.3 Hands on: No-Code AI and Machine Learning Models for Data Agents
Module 6: Ethics, Security, and Privacy in AI Data Agents
6.1 Ethical Considerations in AI Data Agents 6.2 Security and Privacy Concerns
Module 7: Capstone Project
7.1 Problem Statement 7.2 Practical Implementation 7.3 Evaluation and Optimization 7.4 No-Code AI and Machine Learning Models for Data Agents
Vizsga
A vizsgáról
- 50 Kérdés
- 90 perc Időkeret
- 70% Ponthatár
- Online proctored exam
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