This online instructor led training course provides the knowledge to better understand Aritificial Intelligence, AI. In this course students will learn key topics including how AI currently works, what the current limitations are, what are the trends, what languages are being utilized, what major players are currently leading the way, how math is utilized in AI, and more.
Overview
Skills Learned
After completing this online training course, students will be able to:
Understand what Artificial Intelligence is
Better understand the different types of Machine Learning
Know who the major players are at this time
Understand how data works in Machine Learning
Understand Deep Learning concepts
This course is intended for professionals and managers who are looking to better understand artificial intelligence, what the current environment of AI is, what’s changing, and how it can change your job.
None
01. AI and Machine Learning Overview
- General AI vs Applied AI
- Machine Learning vs AI
- Machine Learning vs Deep Learning
02. Types of Machine Learning
- Supervised Learning
- Unsupervised Learning
- Semi-Supervised Learning
- Reinforcement Learning
03. The Data
- Data Shaping
- Feature Extraction
- Epochs
04. Deep Learning Concepts
- What is a Neural Network?
- Neurons
05. Industry Players
- Major Industry Players
- Other Industry Players
06. Framework and Toolkits
- High and Low Level Libraries
07. Machine Learning Cloud Offerings
- Prebuilt
- No code ML services
- Custom: Training and Inference
- AutoML
SKILLS LEARNED
Skills Learned
After completing this online training course, students will be able to:
Understand what Artificial Intelligence is
Better understand the different types of Machine Learning
Know who the major players are at this time
Understand how data works in Machine Learning
Understand Deep Learning concepts
WHO SHOULD ATTEND
This course is intended for professionals and managers who are looking to better understand artificial intelligence, what the current environment of AI is, what’s changing, and how it can change your job.
PREREQUISITES
None
COURSE OUTLINE
01. AI and Machine Learning Overview
- General AI vs Applied AI
- Machine Learning vs AI
- Machine Learning vs Deep Learning
02. Types of Machine Learning
- Supervised Learning
- Unsupervised Learning
- Semi-Supervised Learning
- Reinforcement Learning
03. The Data
- Data Shaping
- Feature Extraction
- Epochs
04. Deep Learning Concepts
- What is a Neural Network?
- Neurons
05. Industry Players
- Major Industry Players
- Other Industry Players
06. Framework and Toolkits
- High and Low Level Libraries
07. Machine Learning Cloud Offerings
- Prebuilt
- No code ML services
- Custom: Training and Inference
- AutoML
