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AI+ Data Agent

EDU Trainings s.r.o.

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

Empowering the Future with AI+ Data Agent: 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

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

Obsah kurzu

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

Cieľová skupina

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.
Certifikát Na dotaz.
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