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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
$195.00
| Modules | Percentage |
|---|---|
| Introduction to AI Agents | 10 |
| Data Agents and Their Role in AI Systems | 15 |
| Data Collection and Acquisition for AI Data Agents | 15 |
| Data Pre-processing and Feature Engineering | 15 |
| AI and Machine Learning Models for Data Agents | 15 |
| Ethics, Security, and Privacy in AI Data Agents | 15 |
| Capstone Project | 15 |
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
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
3.1 Steps in AI Data Collection Structure & Plan
3.2 Methods of Data Collection
4.1 Data Cleaning and Transformation
4.2 Feature Engineering for AI Models
4.3 No-Code AI Data Agent for Preprocessing & Feature Engineering
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
6.1 Ethical Considerations in AI Data Agents
6.2 Security and Privacy Concerns
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
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Guide organizations in implementing AI-driven data solutions to enhance analytics, automation, and business intelligence strategies.
Manage the design and deployment of intelligent data agents to streamline workflows, optimize data processing, and improve decision-making efficiency.
Build and utilize AI models to extract actionable insights, identify trends, and support predictive, data-informed business strategies.
Oversee the integration of AI and data automation technologies to improve organizational efficiency and drive innovation across operations.
): Lead enterprise-wide AI and data initiatives, shaping strategies that leverage intelligent agents for scalable, data-driven transformation.