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.

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

AI For Data Analysts

Instructor: AI CERTs Team

Included with

Learn more

7 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

7 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

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

There are 7 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.

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 videos Total 31 minutes

Course Introduction 4 minutes
1.1 Understanding AI Agents in Data Systems 6 minutes
1.2 Components of AI Agents 5 minutes
1.3 Types of AI Agents 6 minutes
1.4 Architectures and Real-World Applications of AI Agents 4 minutes
1.5 Ethical and Design Considerations in AI Agents & Future Scope 5 minutes

1 reading Total 10 minutes

Hands - On 10 minutes

1 assignment Total 30 minutes

Quiz 1 30 minutes

2 plugins Total 30 minutes

Module 1: Introduction to AI Agents 15 minutes
ACTIVITY: Hotspot 15 minutes

What's included

5 videos1 reading1 assignment2 plugins

5 videos Total 32 minutes

2.1 AI Data Agents 6 minutes
2.2 AI vs. AI Data Agent 4 minutes
2.3 Components of AI Data Agents 5 minutes
2.4 Types of AI Data Agents 4 minutes
2.5 AI Data Agents – Types, Applications, and Real-World Case Studies 11 minutes

1 reading Total 10 minutes

Hands - On 10 minutes

1 assignment Total 30 minutes

Quiz 2 30 minutes

2 plugins Total 30 minutes

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

What's included

6 videos1 assignment2 plugins

6 videos Total 35 minutes

3.1 AI Data Agents – Data Acquisition, Planning, and Case Studies in Smart Agriculture 7 minutes
3.2 AI Data Collection – Design, Preparation, and Quality Assurance 8 minutes
3.3 Storing the Data and Process Documentation 4 minutes
3.4 Annotation of the Data 7 minutes
3.5 Methods of Data Collection and Real-Time Data Streaming 4 minutes
3.6 Batch and API-Based Data Collection 5 minutes

1 assignment Total 30 minutes

Quiz 3 30 minutes

2 plugins Total 30 minutes

Module 3: Data Collection and Acquisition for AI Data Agents 15 minutes
ACTIVITY: Problem Statement 15 minutes

What's included

6 videos1 reading1 assignment2 plugins

6 videos Total 36 minutes

4.1 Data Pre-processing and Feature Engineering 7 minutes
4.2 Feature Engineering for AI Models 8 minutes
4.3 Feature Selection, Feature Extraction, and Real-World Applications 5 minutes
4.4 Dimensionality Reduction & Encoding 7 minutes
4.5 Binning, Bucketing, Feature Transformation and Feature Engineering 6 minutes
4.6 No-Code AI Data Agent for Preprocessing & Feature Engineering 3 minutes

1 reading Total 10 minutes

Hands - On 10 minutes

1 assignment Total 30 minutes

Quiz 4 30 minutes

2 plugins Total 30 minutes

Module 4: Data Pre-Processing and Feature Engineering 15 minutes
ACTIVITY: Drag and Drop 15 minutes

What's included

5 videos1 reading1 assignment2 plugins

5 videos Total 22 minutes

5.1 Overview of Machine Learning for AI Data Agents 5 minutes
5.2 Machine Learning Techniques in AI Data Agents 6 minutes
5.3 Advanced Machine Learning for AI Data Agents 3 minutes
5.4 Selecting and Training Machine Learning Models for AI Data Agents 4 minutes
5.5 Advanced Machine Learning Models and Optimization for AI Data Agents 4 minutes

1 reading Total 10 minutes

Hands - On 10 minutes

1 assignment Total 30 minutes

Quiz 5 30 minutes

2 plugins Total 30 minutes

Module 5: AI and Machine Learning Models for Data Agents 15 minutes
Activity: Accordion 15 minutes

What's included

5 videos1 assignment2 plugins

5 videos Total 23 minutes

6.1 Key Ethical Issues and Broader Ethical Principles in AI Data Agents 6 minutes
6.2 Fairness and Accountability in AI Data Agents 5 minutes
6.3 Risk of Bias and Ethical Frameworks in AI Data Agents 4 minutes
6.4 Security and Privacy Concerns in AI Data Agents 4 minutes
6.5 Legal, Regulatory, and Ethical Data Practices in AI Data Agents 4 minutes

1 assignment Total 30 minutes

Quiz 6 30 minutes

2 plugins Total 30 minutes

Module 6: Ethics, Security, and Privacy in AI Data Agents 15 minutes
ACTIVITY: Case Study 15 minutes

What's included

2 videos1 reading1 assignment1 plugin

Instructor

AI CERTs Team

AI CERTs

54 Courses 24,738 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.

AI For Data Analysts

AI For Data Analysts

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

There are 7 modules in this course

Module 1: Introduction to AI Agents

What's included

Module 2: Data Agents and Their Role in AI Systems

What's included

Module 3: Data Collection and Acquisition for AI Data Agents

What's included

Module 4: Data Pre-Processing and Feature Engineering

What's included

Module 5: AI and Machine Learning Models for Data Agents

What's included

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

What's included

Module 7: Capstone Project: Building and Deploying an AI Data Agent

What's included

Instructor

Offered by

Explore more from Data Analysis

Hands-on Agentic AI: Building Intelligent Agents

GenAI for Data Analysts

Generative AI for Data Analysts

Building AI Agents – Fundamentals to Advanced

Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Open new doors with Coursera Plus

Advance your career with an online degree

Join over 3,400 global companies that choose Coursera for Business

Frequently asked questions

What is this course about?

Do I need coding experience?

Which tools will I learn?

More questions