Build Your AI Foundation with Data and Automation

Overview

Grow your data skills, automate daily tasks, and set the stage for AI success.

Syllabus

• Introduction to AI and Its Foundations
Overview of Artificial Intelligence
Importance of Data in AI
The Role of Automation in AI
• Fundamental Data Skills
Data Types and Structures
Data Collection Methods
Data Cleaning and Preparation
• Data Analysis Techniques
Descriptive Statistics
Data Visualization with Tools (e.g., Excel, Tableau)
Introduction to Data-Driven Decision Making
• Introduction to Automation
Understanding Automation in Daily Tasks
Automating Data Entry and Processing
Tools for Automation (e.g., Python, RPA Software)
• Introduction to Machine Learning
Basics of Machine Learning Models
Supervised vs Unsupervised Learning
Introduction to Neural Networks
• Practical Automation Applications
Automating Reports and Dashboards
Using APIs for Data Collection and Automation
• AI Integration Techniques
How Data Drives AI Solutions
Implementing AI in Business Processes
AI Tools & Frameworks Overview
• Building AI Readiness
Assessing Data for AI Use Cases
Creating an AI Implementation Plan
Ethical Considerations in AI
• Capstone Project
Designing a Simple Automation/Data Task
Applying Data Skills and Automation Tools
Presentation and Feedback Session
• Course Conclusion and Next Steps
Reviewing Key Learnings
Career Paths in AI and Data Science
Resources for Further Learning and Development

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Subjects

Business