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AI+ Data Agent Specialty™

AI+ Data Agent Specialty™
  • 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
AVALIABLE AT COMPUNET LIMITED Enroll Now Enroll Now

Certificate Code

AT 5011

Exam Format

AI-Driven Remote Exam Proctoring

Course Overview

Important details and certification information

Instructor-led OR Self-paced course + Official exam + Digital badge
Instructor-Led: 3 Days (live or virtual)
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.
50 questions, 70% passing, 90 minutes, online proctored exam

Certification Modules

  1. 1.1 What is an AI Agent?
  2. 1.2 Components of AI Agents
  3. 1.3 Types of AI Agents
  4. 1.4 Hands on: No-Code AI and Machine Learning Models for Data Agents

  1. 2.1 AI Data Agents
  2. 2.2 AI vs. AI Data Agent
  3. 2.3 Components of AI Data Agents
  4. 2.4 Types of AI Data Agents
  5. 2.5 Existing AI Data Agents in Trend

  1. 3.1 Steps in AI Data Collection Structure & Plan
  2. 3.2 Methods of Data Collection

  1. 4.1 Data Cleaning and Transformation
  2. 4.2 Feature Engineering for AI Models
  3. 4.3 No-Code AI Data Agent for Preprocessing & Feature Engineering

  1. 5.1 Introduction to Machine Learning Models for Data Agents
  2. 5.2 Model Selection and Training
  3. 5.3 Hands on: No-Code AI and Machine Learning Models for Data Agents

  1. 6.1 Ethical Considerations in AI Data Agents
  2. 6.2 Security and Privacy Concerns

  1. 7.1 Problem Statement
  2. 7.2 Practical Implementation
  3. 7.3 Evaluation and Optimization
  4. 7.4 No-Code AI and Machine Learning Models for Data Agents

AI Tools Covered

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
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