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
