Who should consider getting certified with AI CERTs®?

Working professionals, entrepreneurs, students, startup founders, and more should consider getting certified with AI CERTs®, offering industry recognized in-demand AI and Blockchain certifications, to enhance their expertise and career prospects in these cutting-edge fields.

What is the difference between certificates and certifications?

Certificates demonstrate completion of a specific course or training, focusing on acquiring particular knowledge or skills. Certifications, on the other hand, validate expertise and competence in a field through standardized exams and ongoing requirements, ensuring sustained proficiency.

What are the benefits of role-based certifications?

Role-based certifications provide targeted skills and knowledge, enhancing job performance and career advancement. They demonstrate expertise in specific areas, increase employability, and often lead to higher salaries and better job opportunities. The AI CERTs® website offers specialized role-based certifications in AI and blockchain, tailored for professionals seeking to advance their careers in these fields with in-demand programs.

Can I get an AI certification if I don’t have a technical background?

Yes, you can get an AI certification without a technical background. AI CERTs® offers programs designed for individuals with non-technical as well as technical backgrounds, individuals, making AI knowledge accessible to everyone.

What kind of support is available during the course?

The AI CERTs® website offers extensive support for learners, including access to expert educators, business coaches, and advisors. Additionally, learners benefit from detailed guidance through certifications tailored for AI and blockchain specializations, ensuring comprehensive learning and professional development.

How are the exams conducted?

The AI CERTs® exams are conducted online and are designed to validate the candidate's knowledge in AI and Blockchain domains. Exams include multiple-choice questions, case studies, and practical exercises, ensuring a comprehensive assessment of skills.

Are these certifications globally recognized?

Yes, AI CERTs® certifications are globally recognized. They are designed by the industry and subject matter experts and offer comprehensive knowledge on AI and blockchain specializations, covering the industry demands. For detailed information, visit AI CERTs® Store

Are there any group discounts or corporate training options available?

For group discounts or corporate training, you can reach out to us through support@aicerts.ai for detailed information.

What is our certification development process?

Our certification development process involves rigorous industry analysis, curriculum design by subject matter experts, pilot testing, and continuous updates based on feedback and emerging trends to ensure relevance and effectiveness.

Who is involved in the certification development process?

The certification development process involves a team of experts, including educators from leading universities, business coaches, AI subject matter experts, certification strategists, and senior directors of learning and development

How up to date is the course content?

The course content on AI CERTs® is designed to be up-to-date, reflecting the latest advancements and best practices in AI and blockchain technologies. The certifications offered are continuously updated to ensure relevance in the rapidly evolving tech landscape.

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AI+ Data Agent™

AT 5011

Empower businesses with AI + Data Agent™ to unlock insights, automate analytics, and drive smarter decisions. Empowering the Future with AI+ Data Agent: 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

Enroll Now

Overview
Opportunities
Course Modules
Tools
Prerequisites
Exam Details
Mode of learning
Testimonials
FAQs

Why This Certification Matters

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.

At a Glance: Course + Exam Overview

Program Name

AI+ Data Agent™

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

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.

Exam Format

50 questions, 70% passing, 90 minutes, online proctored exam

Delivery

Online labs, projects, case studies

Outcome

Industry-recognized credential + hands-on experience

Who Should Enroll?

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.

Job Roles & Industry Outlook

AI Data Strategy Consultant

Guide organizations in implementing AI-driven data solutions to enhance analytics, automation, and business intelligence strategies.

Data Automation Lead

Manage the design and deployment of intelligent data agents to streamline workflows, optimize data processing, and improve decision-making efficiency.

AI Data Analyst

Build and utilize AI models to extract actionable insights, identify trends, and support predictive, data-informed business strategies.

Intelligent Systems Manager

Oversee the integration of AI and data automation technologies to improve organizational efficiency and drive innovation across operations.

Chief Data Intelligence Officer (CDIO)

): Lead enterprise-wide AI and data initiatives, shaping strategies that leverage intelligent agents for scalable, data-driven transformation.

Skills You’ll Gain

AI & Machine Learning for Data Automation
Intelligent Agent Design
Predictive Data Analytics
Natural Language Processing
Data Integration & Management
Autonomous Workflow Optimization
Business Intelligence Automation
Decision Intelligence Systems
Ethical & Responsible AI Deployment

What You'll Learn

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

Tools You'll Explore

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

Prerequisites

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.

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 for AI Data Agents - 15%
Data Pre-processing and Feature Engineering - 15%
AI and Machine Learning Models for Data Agents - 15%
Ethics, Security, and Privacy in AI Data Agents -15%
Capstone Project - 15%

Choose the Format That Fits Your Schedule

What’s Included (One-Year Subscription + All Updates)

High-Quality Videos, E-book (PDF & Audio), and Podcasts
AI Mentor for Personalized Guidance
Quizzes, Assessments, and Course Resources
Online Proctored Exam with One Free Retake
Comprehensive Exam Study Guide

Instructor-Led (Live Virtual/Classroom)

1 days of intensive training with live demos
Real-time Q&A, peer collaboration, and hands-on labs
Led by AI Certified Trainers and delivered through Authorized Training Partners

Purchase instructor-Led Course

Self-Paced Online

~8 hours of on-demand video lessons, e-book, podcasts, and interactive labs
Learn anywhere, anytime, with modular quizzes to track progress

Purchase Self-Paced Course

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Frequently Asked Questions

Can I apply what I learn in this course to real-world scenarios immediately?

Yes, this certification provides hands-on experience with real business data and automation projects. You'll be ready to apply AI-driven data solutions directly in enterprise and analytical environments.

What makes this course different from other Data and AI courses?

This certification uniquely combines AI automation, intelligent agent design, and practical data analytics, focusing on real-world business applications and decision intelligence.

What type of projects will I work on?

You’ll work on AI data automation, predictive analytics, NLP-based data agents, and business intelligence workflows—simulating real organizational challenges for job-ready expertise.

How is the course structured to ensure I actually learn the skills?

This course integrates expert-led modules, interactive simulations, and project-based learning with real-world data scenarios, ensuring deep understanding and practical skill mastery.

How does this course prepare me for the job market?

It equips you with high-demand AI and data automation skills, hands-on project experience, and domain knowledge aligned with evolving roles in data intelligence and AI operations.