AI CERTS® certification

AI+ Data Agent Specialty™

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

Enquire about this certificationCourse code: AT 5011

AI+ Data Agent Specialty™ certification badge

Course overview

Review the course before deciding whether it is suitable.

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

Included: Instructor-led OR Self-paced course + Official exam + Digital badge
Duration: Instructor-Led: 1 day (live or virtual)Self-Paced: 8 hours of content
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Prerequisites: 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.

Course focus

Why this certification may be relevant.

Comprehensive Skill Development

Master AI-driven data analysis, automation, and intelligent agent design for real-world business applications.

Industry Recognition

Earn a globally recognized certification that validates your expertise in AI-powered data management and analytics.

Hands-On Learning

Engage in practical projects that simulate real data environments, enhancing problem-solving and analytical decision-making skills.

Career Advancement

Open doors to roles in data engineering, AI analytics, and intelligent automation across multiple industries.

Future-Ready Expertise

Stay ahead in the evolving AI landscape with cutting-edge knowledge of data agents and autonomous systems.

Who it may suit

Check the intended audience against your experience and goals.

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.

Course content

Modules supplied by AI CERTs.

Open each module to review the stated topics.

01Module 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

02Module 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

03Module 3: Data Collection and Acquisition for AI Data Agents

3.1 Steps in AI Data Collection Structure & Plan
3.2 Methods of Data Collection

04Module 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

05Module 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

06Module 6: Ethics, Security, and Privacy in AI Data Agents

6.1 Ethical Considerations in AI Data Agents
6.2 Security and Privacy Concerns

07Module 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

Tools referenced by AI CERTs

Platforms and tools included in the course information.

Python

TensorFlow

PyTorch

Scikit-learn

Keras

LangChain

Hugging Face Transformers

Jupyter Notebooks

Power BI

Tableau

Pandas

NumPy

SQL

Apache Spark

Airflow

DataBricks

RESTful APIs

Matplotlib

Data Visualization & Automation Tools

Before you enrol

This course information is supplied through the AI CERTs catalogue. Kiwi Fern Education will confirm current availability, delivery arrangements, inclusions and fees before enrolment. The programme is not presented as a New Zealand Qualifications Authority qualification.

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