AI+ Data Agent™
Empower businesses with AI + Data Agent™ to unlock insights, automate analytics, and drive smarter decisions.
Certificate Code:
AT 5011
About This Course
- 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
Certificate Overview
Included
Instructor-led OR Self-paced course + Official exam + Digital badge
Duration
- Instructor-Led: 1 day (live or virtual)
- Self-Paced: 8 hours of content
Prerequisites
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.
Exam Format
50 questions, 70% passing, 90 minutes, online proctored exam
Course Modules
1
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
2
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
3
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
4
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
5
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
6
Module 6: Ethics, Security, and Privacy in AI Data Agents
- 6.1 Ethical Considerations in AI Data Agents
- 6.2 Security and Privacy Concerns
7
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
AI Tools You'll Learn
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
