AI+ Data Agent Specialty™

Kód kurzu: NPAT5011

Tato část není lokalizována

Formerly known as AI+ Data Agent™

Empower businesses with AI + Data Agent Specialty™ to unlock insights, automate analytics, and drive smarter decisions.

Formerly known as AI+ Data Agent™
Empower businesses with AI + Data Agent Specialty™ to unlock insights, automate analytics, and drive smarter decisions.

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

Odborní
certifikovaní lektoři

Mezinárodně
uznávané certifikace

Široká nabídka technických
a soft skills kurzů

Skvělý zákaznický
servis

Přizpůsobení kurzů
přesně na míru

Termíny kurzu

Počáteční datum: Na vyžádání

Garantovaný

Forma: Self-paced

Délka kurzu: 8 hodin

Jazyk: en

Cena bez DPH: 6 950 Kč

Registrovat

Počáteční datum: Na vyžádání

Garantovaný

Forma: Self-paced

Délka kurzu: 8 hodin

Jazyk: en

Cena bez DPH: 1 830 Kč

Registrovat

Počáteční
datum
Místo
konání
Forma Délka
kurzu
Jazyk Cena bez DPH
G Na vyžádání Self-paced 8 hodin en 6 950 Kč Registrovat
G Na vyžádání Self-paced 8 hodin en 1 830 Kč Registrovat
G Garantovaný kurz

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Kontakt

Popis kurzu

Tato část není lokalizována

AI-Powered Data Collection & Integration

Learn how AI-driven data agents gather, clean, and unify data from multiple sources to create accurate, real-time datasets for smarter business decisions.

Intelligent Data Analysis & Predictive Insights

Understand how to use AI and predictive analytics to uncover patterns, forecast trends, and generate actionable insights from complex data.

Automated Reporting & Workflow Optimization

Discover how AI agents automate repetitive data tasks such as reporting, monitoring, and dashboard generation to improve efficiency and productivity.

Conversational Data Querying & Decision Support

Explore how AI data agents enable natural language interactions, helping teams retrieve insights, answer business questions, and make faster decisions.

Struktura kurzu

Tato část není lokalizována

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

Předpokládané znalosti

Tato část není lokalizována

  • Familiarity with data handling, including collection, cleaning, and preprocessing (beneficial but not mandatory).
  • No prior coding experience required (hands-on with no-code tools).
  • Basic knowledge of data science, algorithms, and decision-making principles (recommended).
  • Suitable for professionals or enthusiasts looking to expand their knowledge in AI agent technology and data-driven decision-making.

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