AI+ Data Agent

Hours: 8 / Access Length: 12 Months / Delivery: Online, Self-Paced
Online Hours: 8
Retail Price: $195.00

Course Overview:

This beginner-friendly certificate serves as the perfect entry point for those eager to master data-driven AI concepts and modern automation tools.  By exploring the foundations of AI data handling and business analytics, the course empowers curious learners to transform raw information into smarter, real-world decisions.

Recommended Prerequisites:

• Familiarity with data handling, including collection, cleaning, and preprocessing (beneficial but not mandatory).
• No prior coding experience required (hands-on with no-code tools).
• Basic knowledge of data science, algorithms, and decision-making principles (recommended).
• Suitable for professionals or enthusiasts looking to expand their knowledge in AI agent technology and data-driven decision-making.

Course Outline:

Lesson 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

Lesson 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

Lesson 3: Data Collection and Acquisition for AI Data Agents

• 3.1 Steps in AI Data Collection Structure & Plan
• 3.2 Methods of Data Collection

Lesson 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

Lesson 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

Lesson 6: Ethics, Security, and Privacy in AI Data Agents

• 6.1 Ethical Considerations in AI Data Agents
• 6.2 Security and Privacy Concerns

Lesson 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

All necessary course materials are included.

System Requirements:

Internet Connectivity Requirements:

• Cable, Fiber, DSL, or LEO Satellite (i.e. Starlink) internet with speeds of at least 10mb/sec download and 5mb/sec upload are recommended for the best experience.

NOTE: While cellular hotspots may allow access to our courses, users may experience connectivity issues by trying to access our learning management system.  This is due to the potential high download and upload latency of cellular connections.   Therefore, it is not recommended that students use a cellular hotspot as their primary way of accessing their courses.

Hardware Requirements:

• CPU: 1 GHz or higher
• RAM: 4 GB or higher
• Resolution: 1280 x 720 or higher.  1920x1080 resolution is recommended for the best experience.
• Speakers / Headphones
• Microphone for Webinar or Live Online sessions.

Operating System Requirements:

• Windows 7 or higher.
• Mac OSX 10 or higher.
• Latest Chrome OS
• Latest Linux Distributions
  

NOTE: While we understand that our courses can be viewed on Android and iPhone devices, we do not recommend the use of these devices for our courses. The size of these devices do not provide a good learning environment for students taking online or live online based courses.

Web Browser Requirements:

• Latest Google Chrome is recommended for the best experience.
• Latest Mozilla FireFox
• Latest Microsoft Edge
• Latest Apple Safari

Basic Software Requirements (These are recommendations of software to use):

• Office suite software (Microsoft Office, OpenOffice, or LibreOffice)
• PDF reader program (Adobe Reader, FoxIt)
• Courses may require other software that is described in the above course outline.