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AI+ Data Agent Specialty™

Course code: NPAT5011

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™
Help businesses unlock insights, automate analytics, and make smarter decisions with AI+ Data Agent Specialty™.

Building Tomorrow's Decision Makers with AI+ Data Agent Specialty™
Accessible Entry Point: An ideal starting place for understanding data-driven AI concepts and automation tools
Solid Groundwork: Covers AI data handling, analytics, and practical business applications
Welcoming to All: Built for learners curious about applying data and AI toward better outcomes
75 EUR

91 EUR including VAT

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Course dates

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 285 EUR

Register

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 75 EUR

Register

Starting
date		 Place
Type Course
duration		 Language Price without VAT
G Upon request Self-paced 8 hours en 285 EUR Register
G Upon request Self-paced 8 hours en 75 EUR Register
G Guaranteed course

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Course description

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.

Course structure

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

Prerequisites

  • Exposure to data handling practices, including collection, cleaning, and preprocessing (useful but not required). 
  • No coding background necessary, as the course relies on hands-on, no-code tools. 
  • Working knowledge of data science, algorithms, and decision-making concepts (suggested). 
  • A fit for professionals or enthusiasts interested in growing their skills in AI agent technology and data-driven decision-making. 

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