AI Machine Learning Boot Camp

Artificial intelligence (AI) aims to create intelligent machines. Machines can act and react like humans with access to expansive information about the world—with machine learning (ML) being a core part of AI.

The AI Machine Learning Boot Camp is a comprehensive six-month program that correlates directly to the AI and ML industry, a hot topic for the past couple of years. There is also a high demand for AI/ML certified and trained professionals within the industry, as revenue generated by AI/ML products is estimated to reach $156.5 billion worldwide. In addition, the U.S. average salary range is $90,000 - $185,000, depending upon experience—making this profession lucrative and fulfilling.

This boot camp offers self-paced training that requires 15-25 hours a week to complete the curriculum. You will start with a powerful introduction to the current and historical context of AI, highlighting the massive opportunities in technology. This is followed by an introduction to AI and ML, progressing to data science programming with Python and SQL, and getting into ML and natural language processing (NLP). You will prepare to pass the Microsoft Azure AI Engineer Certification Exam AI-102: Designing and Implementing an Azure AI Solution.

By the end of this course, you will be prepared for the following job roles:

• Machine Learning Researcher
• Data Scientist - Entry level
• Research Analyst
• Quantitative Researcher
• AI and ML Developer
• Data Science Engineer - Machine Learning

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.

Requirements:

Hardware Requirements:

• This course must be taken on a PC and Mac.
• This course should be taken on a Windows desktop or laptop or Macs equipped with the M1 chip.

Software Requirements:

• PC: Windows 8 or later. However, it is recommended to have Windows 10 to avoid compatibility issues.
• Browser: The latest version of Google Chrome or Mozilla Firefox is preferred. Microsoft Edge is also compatible.
• Adobe Acrobat Reader.
• Software must be installed and fully operational before the course begins.

Other:

• Email capabilities and access to a personal email account.

Instructional Material Requirements:

The instructional materials required for this course are included in enrollment and will be available online.