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

Erwerben Sie mit Coursera Plus für 199 $ (regulär 399 $) das nächste Level. Jetzt sparen.

kurs ist nicht verfügbar in Deutsch (Deutschland)

Wir übersetzen es in weitere Sprachen. Sehen Sie sich die Sprachen an, die wir anbieten.

AI For Data Analysts

Dozent: AI CERTs Team

Bei enthalten

Mehr erfahren

7 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Mittel

Empfohlene Erfahrung

1 Woche zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

7 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Mittel

Empfohlene Erfahrung

1 Woche zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

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.

Kompetenzen, die Sie erwerben

Kategorie: Real Time Data
Kategorie: Data Ethics
Kategorie: Machine Learning Algorithms
Kategorie: Data Collection
Kategorie: Ethical Standards And Conduct
Kategorie: Law, Regulation, and Compliance
Kategorie: Machine Learning
Kategorie: Model Evaluation
Kategorie: AI Workflows
Kategorie: No-Code Development
Kategorie: Analytical Skills
Kategorie: Data Pipelines
Kategorie: Data Processing
Kategorie: Data Analysis
Kategorie: Information Privacy
Kategorie: Agentic systems
Kategorie: Artificial Intelligence
Kategorie: Responsible AI

Wichtige Details

Zertifikat zur Vorlage

Zu Ihrem LinkedIn-Profil hinzufügen

Kürzlich aktualisiert!

November 2025

Bewertungen

7 Aufgaben

Unterrichtet in Englisch

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

Weitere Informationen zu Coursera für Unternehmen

Logos von Petrobras, TATA, Danone, Capgemini, P&G und L'Oreal

In diesem Kurs gibt es 7 Module

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.

Das ist alles enthalten

6 Videos1 Lektüre1 Aufgabe2 Plug-ins

6 VideosInsgesamt 30 Minuten

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

1 LektüreInsgesamt 10 Minuten

Hands - On10 Minuten

1 AufgabeInsgesamt 30 Minuten

Quiz 130 Minuten

2 Plug-insInsgesamt 30 Minuten

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

Das ist alles enthalten

5 Videos1 Lektüre1 Aufgabe2 Plug-ins

5 VideosInsgesamt 31 Minuten

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

1 LektüreInsgesamt 10 Minuten

Hands - On10 Minuten

1 AufgabeInsgesamt 30 Minuten

Quiz 230 Minuten

2 Plug-insInsgesamt 30 Minuten

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

Das ist alles enthalten

6 Videos1 Aufgabe2 Plug-ins

6 VideosInsgesamt 35 Minuten

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

1 AufgabeInsgesamt 30 Minuten

Quiz 330 Minuten

2 Plug-insInsgesamt 30 Minuten

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

Das ist alles enthalten

6 Videos1 Lektüre1 Aufgabe2 Plug-ins

6 VideosInsgesamt 36 Minuten

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

1 LektüreInsgesamt 10 Minuten

Hands - On10 Minuten

1 AufgabeInsgesamt 30 Minuten

Quiz 430 Minuten

2 Plug-insInsgesamt 30 Minuten

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

Das ist alles enthalten

5 Videos1 Lektüre1 Aufgabe2 Plug-ins

5 VideosInsgesamt 21 Minuten

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

1 LektüreInsgesamt 10 Minuten

Hands - On10 Minuten

1 AufgabeInsgesamt 30 Minuten

Quiz 530 Minuten

2 Plug-insInsgesamt 30 Minuten

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

Das ist alles enthalten

5 Videos1 Aufgabe2 Plug-ins

5 VideosInsgesamt 22 Minuten

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

1 AufgabeInsgesamt 30 Minuten

Quiz 630 Minuten

2 Plug-insInsgesamt 30 Minuten

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

Das ist alles enthalten

2 Videos1 Lektüre1 Aufgabe1 Plug-in

Dozent

AI CERTs Team

AI CERTs

40 Kurse8.820 Lernende

von

AI CERTs

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Warum entscheiden sich Menschen für Coursera für ihre Karriere?

Felipe M.

Lernender seit 2018

„Es ist eine großartige Erfahrung, in meinem eigenen Tempo zu lernen. Ich kann lernen, wenn ich Zeit und Nerven dazu habe.“

Jennifer J.

Lernender seit 2020

„Bei einem spannenden neuen Projekt konnte ich die neuen Kenntnisse und Kompetenzen aus den Kursen direkt bei der Arbeit anwenden.“

Larry W.

Lernender seit 2021

„Wenn mir Kurse zu Themen fehlen, die meine Universität nicht anbietet, ist Coursera mit die beste Alternative.“

Chaitanya A.

„Man lernt nicht nur, um bei der Arbeit besser zu werden. Es geht noch um viel mehr. Bei Coursera kann ich ohne Grenzen lernen.“

Häufig gestellte Fragen

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.