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

Ce cours n'est pas disponible en Français (France)

Nous sommes actuellement en train de le traduire dans plus de langues. Consultez les langues disponibles.

AI For Data Analysts

Instructeur : AI CERTs Team

Inclus avec

7 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

1 semaine à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

7 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

1 semaine à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

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.

Compétences que vous acquerrez

Catégorie : Data Analysis
Catégorie : Real Time Data
Catégorie : Agentic systems
Catégorie : Responsible AI
Catégorie : Data Ethics
Catégorie : Data Pipelines
Catégorie : Model Evaluation
Catégorie : Information Privacy
Catégorie : Machine Learning
Catégorie : Data Collection
Catégorie : Artificial Intelligence
Catégorie : Data Processing

Outils que vous découvrirez

Catégorie : Model Deployment
Catégorie : No-Code Development
Catégorie : AI Workflows

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Récemment mis à jour !

novembre 2025

Évaluations

7 devoirs

Enseigné en Anglais

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Il y a 7 modules dans ce cours

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.

Inclus

6 vidéos1 lecture1 devoir2 plugins

6 vidéos 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 lecture Total 10 minutes

Hands - On 10 minutes

1 devoir Total 30 minutes

Quiz 1 30 minutes

2 plugins Total 30 minutes

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

Inclus

5 vidéos1 lecture1 devoir2 plugins

5 vidéos 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 lecture Total 10 minutes

Hands - On 10 minutes

1 devoir 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

Inclus

6 vidéos1 devoir2 plugins

6 vidéos 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 devoir 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

Inclus

6 vidéos1 lecture1 devoir2 plugins

6 vidéos 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 lecture Total 10 minutes

Hands - On 10 minutes

1 devoir 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

Inclus

5 vidéos1 lecture1 devoir2 plugins

5 vidéos 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 lecture Total 10 minutes

Hands - On 10 minutes

1 devoir 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

Inclus

5 vidéos1 devoir2 plugins

5 vidéos 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 devoir 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

Inclus

2 vidéos1 lecture1 devoir1 plugin

Instructeur

AI CERTs Team

AI CERTs

54 Cours 23 614 apprenants

Offert par

AI CERTs

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Foire Aux 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.