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

位教师：AI CERTs Team

包含在中

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7个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

7个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

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.

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要了解的详细信息

可分享的证书

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有7个模块

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.

涵盖的内容

6个视频1篇阅读材料1个作业2个插件

6个视频总计30分钟

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

1篇阅读材料总计10分钟

Hands - On10分钟

1个作业总计30分钟

Quiz 130分钟

2个插件总计30分钟

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

涵盖的内容

5个视频1篇阅读材料1个作业2个插件

5个视频总计31分钟

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

1篇阅读材料总计10分钟

Hands - On10分钟

1个作业总计30分钟

Quiz 230分钟

2个插件总计30分钟

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

涵盖的内容

6个视频1个作业2个插件

6个视频总计35分钟

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

1个作业总计30分钟

Quiz 330分钟

2个插件总计30分钟

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

涵盖的内容

6个视频1篇阅读材料1个作业2个插件

6个视频总计36分钟

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

1篇阅读材料总计10分钟

Hands - On10分钟

1个作业总计30分钟

Quiz 430分钟

2个插件总计30分钟

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

涵盖的内容

5个视频1篇阅读材料1个作业2个插件

5个视频总计21分钟

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

1篇阅读材料总计10分钟

Hands - On10分钟

1个作业总计30分钟

Quiz 530分钟

2个插件总计30分钟

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

涵盖的内容

5个视频1个作业2个插件

5个视频总计22分钟

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

1个作业总计30分钟

Quiz 630分钟

2个插件总计30分钟

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

涵盖的内容

2个视频1篇阅读材料1个作业1个插件

位教师

AI CERTs Team

AI CERTs

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AI CERTs

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常见问题

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.