AI⁺ Data Agent Specialty^TM

A beginner-friendly certification covering AI-driven data handling, automation, analytics, and intelligent agent design, with hands-on no-code projects.

Build intelligent data agents without code

Level:
Beginner-friendly entry point
Duration:
8 hours self-paced
Format:
Self-paced, official exam and digital badge
Delivery:
Online labs, projects, case studies
Languages:
English, Spanish

Prerequisites

Basic understanding of data management, analytics, and automation
Data handling experience is helpful but optional
No prior coding experience needed; hands-on work uses no-code tools

Self-Paced

Group Live Class

Instructor-led

Self-Paced

Group Live Class

Instructor-led

Why This Certification Matters?

Skill development Covers AI-driven data analysis, automation, and intelligent agent design for business use.
Industry recognition A globally recognized credential for AI-powered data management and analytics.
Hands-on learning Practical projects simulate real data environments to build problem-solving skills.
Career advancement Supports roles in data engineering, AI analytics, and intelligent automation.
Future-ready expertise Covers data agents and autonomous systems as the AI field evolves.

What You'll Learn?

Introduction to AI Agents

What is an AI agent
Components of AI agents
Types of AI agents
Hands-on: no-code AI and ML models for data agents

Data Agents and Their Role in AI Systems

AI data agents
AI vs. AI data agents
Components of AI data agents
Types of AI data agents
Current AI data agents in use

Data Collection and Acquisition for AI Data Agents

Steps in AI data collection: structure and plan
Methods of data collection

Data Pre-processing and Feature Engineering

Data cleaning and transformation
Feature engineering for AI models
No-code AI data agent for preprocessing and feature engineering

AI and Machine Learning Models for Data Agents

Introduction to ML models for data agents
Model selection and training
Hands-on: no-code AI and ML models

Ethics, Security, and Privacy in AI Data Agents

Ethical considerations
Security and privacy concerns

Capstone Project

Problem statement
Practical implementation
Evaluation and optimization
No-code AI and ML models for data agents

Job Roles & Industry Outlook

AI Data Strategy Consultant

Guides organizations in adopting AI-driven data solutions for analytics, automation, and BI.

Data Automation Lead

Designs and deploys intelligent data agents to streamline workflows and decision-making.

AI Data Analyst

Builds AI models to extract insights, spot trends, and support predictive strategy.

Intelligent Systems Manager

Oversees AI and data automation integration to improve efficiency and innovation.

Chief Data Intelligence Officer

Leads enterprise-wide AI and data initiatives using intelligent agents.

Skills You’ll Gain

AI and machine learning for data automationIntelligent agent designPredictive data analyticsNatural language processingData integration and managementAutonomous workflow optimizationBusiness intelligence automationEthical and responsible AI deployment

Tools You’ll Master

Exam Details

Duration

90 minutes

Passing Score

70% (35/50)

Format

50 multiple-choice/multiple-response questions

Delivery Method

Online via proctored exam platform (flexible scheduling)

Exam Blueprint

Introduction to AI Agents

10%

Data Agents and Their Role in AI Systems

15%

Data Collection and Acquisition

15%

Data Pre-processing and Feature Engineering

15%

AI and ML Models for Data Agents

15%

Ethics, Security, and Privacy

15%