What skills will I gain?

Agent design, data ingestion, workflow automation, basic ML training, API integration, and AI ethics & governance.

What kinds of AI agents will I build?

You will build data automation agents and real-time decision agents.

Is this course suitable for non-technical professionals?

Yes - perfect for business, ops, analytics, product, and IT roles entering AI automation.

Will I work on projects?

Yes - hands-on labs, mini-projects, and a capstone AI agent deployment.

Is there a certification exam?

Yes -you’ll complete a proctored exam to earn your certification.

How long does this programme take to complete?

This is a1-day intensive programmedesigned to help you build, test, and deploy AI data agents quickly through guided, hands-on learning.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

AI For Data Analysts

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AI For Data Analysts

Instructor: AI CERTs Team

9 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

9 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Master AI Agent Architecture: Learn agent frameworks, memory, planning, & tool-use to build autonomous decision-making systems for real-world tasks.
Build No-Code and Low-Code Agents: Use n8n, Zapier, or agent studios to automate workflows, data handling, and business processes.
Develop ML-Powered Agents: Train models and connect APIs using Python and Scikit-Learn to enable intelligent agent actions.
Deploy Ethical, Reliable Agents: Apply governance, testing, and safety measures to ensure ethical and high-performance AI agents.

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

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There are 9 modules in this course

Artificial intelligence is evolving beyond automation — it’s becoming agentic. AI systems that can gather data, analyze patterns, and make decisions autonomously are transforming industries. This course prepares you to build and deploy AI-powered data agents — without needing prior coding experience.

Designed for data-driven professionals, analysts, and business learners, this hands-on program covers the foundations of agentic AI, data pipelines, machine learning basics, and ethical considerations. You’ll explore how AI data agents collect and process real-time information, learn from it, and take action across domains like retail, healthcare, agriculture, logistics, and smart-city environments. Through guided projects and no-code tools, you will build intelligent data workflows, train simple ML models, automate decisions, and design agents that monitor, analyze, and respond to dynamic data. You will also learn responsible AI practices, privacy and compliance essentials, and evaluation methods to ensure reliability and transparency. By the end of the course, you will be able to: Create AI-powered data automations Build and train basic machine learning models Deploy no-code AI agents for real-world use cases To validate your learning, you will complete a proctored certification exam, demonstrating applied competency in AI-driven data automation and agent workflows.

This module covers a quick summary of what the certification is going to cover from start to finish. Here is the brief about the structure of the overall certification: Each of our certifications follows a consistent, multimodal structure to provide a flexible learning experience. The content is available across four formats: eBooks: In-depth written material for focused learning. Audiobooks: Audio version of the eBook, perfect for learning on the go. Podcasts: Engaging audio content to reinforce key concepts. Videos: Modular video chunks, each covering a specific topic. The names of the eBooks, Audiobooks, and Podcasts are the same, ensuring you can seamlessly switch between formats without losing track of the content. Videos are divided into bite-sized modules for easier consumption, and all content across these mediums is consistent, so no matter which format you choose, the information remains the same. This gives you the freedom to learn in the way that works best for you.

What's included

6 videos1 reading1 assignment2 plugins

6 videosTotal 30 minutes

Course Introduction4 minutes
1.1 Understanding AI Agents in Data Systems6 minutes
1.2 Components of AI Agents5 minutes
1.3 Types of AI Agents5 minutes
1.4 Architectures and Real-World Applications of AI Agents4 minutes
1.5 Ethical and Design Considerations in AI Agents & Future Scope4 minutes

1 readingTotal 10 minutes

Hands - On10 minutes

1 assignmentTotal 30 minutes

Quiz 130 minutes

2 pluginsTotal 30 minutes

Module 1: Introduction to AI Agents15 minutes
ACTIVITY: Hotspot15 minutes

What's included

5 videos1 reading1 assignment2 plugins

5 videosTotal 31 minutes

2.1 AI Data Agents6 minutes
2.2 AI vs. AI Data Agent4 minutes
2.3 Components of AI Data Agents5 minutes
2.4 Types of AI Data Agents4 minutes
2.5 AI Data Agents – Types, Applications, and Real-World Case Studies11 minutes

1 readingTotal 10 minutes

Hands - On10 minutes

1 assignmentTotal 30 minutes

Quiz 230 minutes

2 pluginsTotal 30 minutes

Module 2: Data Agents and their Role in AI Systems 15 minutes
ACTIVITY: Tab15 minutes

What's included

6 videos1 assignment2 plugins

6 videosTotal 35 minutes

3.1 AI Data Agents – Data Acquisition, Planning, and Case Studies in Smart Agriculture7 minutes
3.2 AI Data Collection – Design, Preparation, and Quality Assurance7 minutes
3.3 Storing the Data and Process Documentation4 minutes
3.4 Annotation of the Data6 minutes
3.5 Methods of Data Collection and Real-Time Data Streaming3 minutes
3.6 Batch and API-Based Data Collection4 minutes

1 assignmentTotal 30 minutes

Quiz 330 minutes

2 pluginsTotal 30 minutes

Module 3: Data Collection and Acquisition for AI Data Agents15 minutes
ACTIVITY: Problem Statement15 minutes

What's included

6 videos1 reading1 assignment2 plugins

6 videosTotal 36 minutes

4.1 Data Pre-processing and Feature Engineering6 minutes
4.2 Feature Engineering for AI Models8 minutes
4.3 Feature Selection, Feature Extraction, and Real-World Applications5 minutes
4.4 Dimensionality Reduction & Encoding7 minutes
4.5 Binning, Bucketing, Feature Transformation and Feature Engineering6 minutes
4.6 No-Code AI Data Agent for Preprocessing & Feature Engineering3 minutes

1 readingTotal 10 minutes

Hands - On10 minutes

1 assignmentTotal 30 minutes

Quiz 430 minutes

2 pluginsTotal 30 minutes

Module 4: Data Pre-Processing and Feature Engineering15 minutes
ACTIVITY: Drag and Drop15 minutes

What's included

5 videos1 reading1 assignment2 plugins

5 videosTotal 21 minutes

5.1 Overview of Machine Learning for AI Data Agents5 minutes
5.2 Machine Learning Techniques in AI Data Agents5 minutes
5.3 Advanced Machine Learning for AI Data Agents3 minutes
5.4 Selecting and Training Machine Learning Models for AI Data Agents3 minutes
5.5 Advanced Machine Learning Models and Optimization for AI Data Agents3 minutes

1 readingTotal 10 minutes

Hands - On10 minutes

1 assignmentTotal 30 minutes

Quiz 530 minutes

2 pluginsTotal 30 minutes

Module 5: AI and Machine Learning Models for Data Agents15 minutes
Activity: Accordion15 minutes

What's included

5 videos1 assignment2 plugins

5 videosTotal 22 minutes

6.1 Key Ethical Issues and Broader Ethical Principles in AI Data Agents6 minutes
6.2 Fairness and Accountability in AI Data Agents4 minutes
6.3 Risk of Bias and Ethical Frameworks in AI Data Agents3 minutes
6.4 Security and Privacy Concerns in AI Data Agents3 minutes
6.5 Legal, Regulatory, and Ethical Data Practices in AI Data Agents4 minutes

1 assignmentTotal 30 minutes

Quiz 630 minutes

2 pluginsTotal 30 minutes

Module 6: Ethics, Security, and Privacy in AI Data Agents15 minutes
ACTIVITY: Case Study15 minutes

What's included

2 videos1 reading1 assignment1 plugin

What's included

1 reading

What's included

1 reading

Instructor

AI CERTs Team

AI CERTs

23 Courses3,298 learners

Offered by

AI CERTs

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Frequently asked questions

You’ll learn to build and deploy AI data agents for automation, analysis, and decision-making across real business use cases.

No. The course uses no-code and low-code tools, with optional beginner-friendly Python exercises.

No-Code Automation with n8n.io, develop ML agents with Python and Scikit-learn ,and integrate APIs and the OpenAI Chat Model for intelligent, real-time decision-making.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.