AI Fundamentals for Data Professionals

Offered By: LinkedIn Learning

Tags

Artificial Intelligence Courses Data Science Courses Machine Learning Courses Deep Learning Courses Supervised Learning Courses Unsupervised Learning Courses Reinforcement Learning Courses Exploratory Data Analysis Courses Data Preprocessing Courses Feature Engineering Courses

Course Description

Overview

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Discover the fundamental skills, tools, and concepts of AI in this course designed for data professionals.

Syllabus

Introduction

Introduction

1. Introduction to AI and Machine Learning

AI and machine learning overview
Types of machine learning
Popular AI and ML tools
AI applications and use cases

2. Data and Feature Engineering

Data types and sources
Exploratory data analysis (EDA)
Data preprocessing techniques
Feature engineering

3. High-Level Machine Learning Techniques

Supervised learning overview
Unsupervised learning overview
Reinforcement learning overview
Deep learning overview: Part 1
Deep learning overview: Part 2

4. Implementation and Future Trends

Model evaluation and validation
AI project lifecycle
AI ethics and bias: Part 1
AI ethics and bias: Part 2

Conclusion

Bring it all together

Taught by

Sadie St. Lawrence

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