• Six months of interactive, self-paced training that requires 15-25 hours a week to complete the curriculum
• Prepare to pass the Microsoft AI-102: Designing and Implementing an Azure AI Solution exam which will allow you to work as a Microsoft AI engineer
• Get five 1-hour online coaching sessions with your instructor
• Put your learning into practice with a capstone project related to autonomous cars toward the end of the program

Given the technical nature of our AI & Machine Learning Bootcamp, it is ideal if you are an existing data professional with experience in data analysis or data science. Otherwise, you must have experience with algebra, mathematics, and calculus and have some basic programming knowledge.

In our AI & Machine Learning Bootcamp, you will explore:

• AI and ML definitions, history, current state, goals, types of models, and more
• Simple correlation, simple tests, selecting a training data set, cross-validation, and regression models
• Common ML models such as random forests and ensemble models
• Applied natural language processing (NLP)
• Development of neural networks and be able to apply them in a practical way

1. Introduction to Python and It’s Libraries
2. Introduction to Machine Learning
3. First Models and Tests
4. Common Machine Learning Models
5. Neural Networks 1
6. Neural Networks 2
7. Natural Language Processing
8. AWS & SQL for Machine Learning
9. Designing and Implementing an Azure AI Solution
10. Final Capstone Project: Autonomous Cars

Felix Quinque

Felix Quinque has a Ph.D. in Quantum Computing from the University of Portsmouth and a B.S. degree in Artificial Intelligence and Physics from Maastricht University. He is the Co-Founder & Director of OctoShrew, a machine learning consultancy, and software development firm.