AI+ Data Agent™ eLearning

Type product

AI+ Data Agent™ eLearning

Train IT Now B.V.
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Beschrijving

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

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…

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Nog niet gevonden wat je zocht? Bekijk deze onderwerpen: Data Analyse Excel, Excel, Business intelligence, Excel voor Financials en Excel VBA.

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

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 Tools you will explore

* 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

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

Instructor-led OR Self-paced course + Official exam + Digital badge

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