AI+ Data Agent™

Kód kurzu: AT5011

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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

172 EUR s DPH

Výber termínov

Odborní
certifikovaní lektori

Mezinárodne
uznávané certifikácie

Široká ponuka technických
a soft skills kurzov

Skvelý zákaznicky
servis

Prispôsobenie kurzov
presne na mieru

Termíny kurzov

Počiatočný dátum: Na vyžiadanie

Forma: Self-Paced

Dĺžka kurzu: 8 hodín

Jazyk: en

Cena bez DPH: 140 EUR Akční cena

Registrovať

Počiatočný
dátum
Miesto
konania
Forma Dĺžka
kurzu
Jazyk Cena bez DPH
Na vyžiadanie Self-Paced 8 hodín en A 140 EUR Registrovať
G Garantovaný kurz
A Akční cena

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Kontakt

Popis kurzu

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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

Cieľová skupina

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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.

Štruktúra kurzu

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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

Predpokladané znalosti

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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.

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pruduktová podpora

Certifikácie

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50 questions, 70% passing, 90 minutes, online proctored exam