AI+ Data Agent™

Course code: AT5011

Price of the certification exam is included in the price of the course.

Formerly known as AI+ Data Agent™

Empower businesses with AI + Data Agent Specialty™ to unlock insights, automate analytics, and drive smarter decisions.

Empowering the Future with AI+ Data Agent Specialty™: Shaping Smarter Decision-Makers
Beginner-Friendly Certification: Perfect entry point to understand data-driven AI concepts and automation tools
Comprehensive Foundation: Explores AI data handling, analytics, and real-world business insights
Open to All: Designed for learners with curiosity about using data and AI for smarter outcomes

Akční cena

140 EUR

169 EUR including VAT

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Course dates
Course description
Target group
Course structure
Prerequisites
Certification

Course dates

Starting date: Upon request

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 140 EUR Akční cena

	Starting date	Type	Course duration	Language		Price without VAT
	Upon request	Self-paced	8 hours	en	A	140 EUR	Register
G	Guaranteed course
A	Akční cena

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Course description

Comprehensive Skill Development

Master AI-driven data analysis, automation, and intelligent agent design for real-world business applications.

Industry Recognition

Earn a globally recognized certification that validates your expertise in AI-powered data management and analytics.

Hands-On Learning

Engage in practical projects that simulate real data environments, enhancing problem-solving and analytical decision-making skills.

Career Advancement

Open doors to roles in data engineering, AI analytics, and intelligent automation across multiple industries.

Future-Ready Expertise

Stay ahead in the evolving AI landscape with cutting-edge knowledge of data agents and autonomous systems.

Python
TensorFlow
PyTorch
Scikit-learn
Keras
LangChain
Hugging Face Transformers
Jupyter Notebooks
Power BI
Tableau
Pandas
NumPy
SQL
Apache Spark
Airflow
DataBricks
RESTful APIs
Matplotlib
Data Visualization & Automation Tools

Target group

Data Professionals: Ideal for data analysts, engineers, and scientists looking to enhance their expertise with AI-driven automation.

Business Strategists: Perfect for professionals aiming to leverage data intelligence for informed and strategic decision-making.

AI Enthusiasts: Designed for learners passionate about integrating AI with data management and intelligent systems.

Tech Innovators: Suited for individuals exploring automation, predictive analytics, and autonomous data solutions.

Aspiring Leaders: Ideal for professionals seeking to lead AI transformation initiatives and drive data-driven innovation within their organizations.

Course structure

Module 1: Introduction to AI Agents

1.1 What is an AI Agent?
1.2 Components of AI Agents
1.3 Types of AI Agents
1.4 Hands on: No-Code AI and Machine Learning Models for Data Agents

Module 2: Data Agents and Their Role in AI Systems

2.1 AI Data Agents
2.2 AI vs. AI Data Agent
2.3 Components of AI Data Agents
2.4 Types of AI Data Agents
2.5 Existing AI Data Agents in Trend

Module 3: Data Collection and Acquisition for AI Data Agents

3.1 Steps in AI Data Collection Structure & Plan
3.2 Methods of Data Collection

Module 4: Data Pre-processing and Feature Engineering

4.1 Data Cleaning and Transformation
4.2 Feature Engineering for AI Models
4.3 No-Code AI Data Agent for Preprocessing & Feature Engineering

Module 5: AI and Machine Learning Models for Data Agents

5.1 Introduction to Machine Learning Models for Data Agents
5.2 Model Selection and Training
5.3 Hands on: No-Code AI and Machine Learning Models for Data Agents

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

6.1 Ethical Considerations in AI Data Agents
6.2 Security and Privacy Concerns

Module 7: Capstone Project

7.1 Problem Statement
7.2 Practical Implementation
7.3 Evaluation and Optimization
7.4 No-Code AI and Machine Learning Models for Data Agents

Prerequisites

Basic understanding of data management, analytics, and automation, with interest in AI-driven analysis and intelligent agent design. Ideal for learners seeking hands-on experience, industry recognition, and future-ready expertise in data systems, analytics, and autonomous technologies.