Quantum Computing for Cybersecurity, Chemistry, and Optimization

A 4-week course on quantum algorithms in solving complex problems in cybersecurity, chemistry, and optimization; including performance advantages of quantum algorithms, engineering requirements for implementation, and scientific limits to running large-scale quantum algorithms inr real-world applications.

Introduction to Quantum Computing

A 4-week course on the foundations of quantum computing, engineering challenges and potential business applications. 

Artificial Intelligence: Implications for Business Strategy Program

A 6-week course with focus on management approaches to machine learning, natural language processing, and robotics. 

Applied Generative AI for Digital Transformation

An 8-week course on applied Generative AI in digital transformaiton with focus on management perspectives, ethical concerns, and human elements. 

Data Distribution: Mastering AI and Machine Learning for Finance.

A course on AI automation and regualations within Finance, covering the AI productivity boom, effective data strategies, and increased productivity.

CCSP

SSCP demonstrates advanced technical skills and knowledge to implement, monitor and administer IT infrastructure using security best practices, policies and procedures established by the cybersecurity experts at ISC2.

Designing and building AI Products and Services

An 8-week course for technical product leaders to enhance understanding of AI technology fundamentals and tools, and explore various design processes involved in AI-based products.

Machine Learning, Modeling and Simulation Principles

A 5-week course (1 of 2) for Industry professionals with at least a bachelor’s degree in engineering or computer science with a strong background in college-level mathematics including differential calculus, linear algebra, and statistics.

Applying ML to Engineering and Science

A 5-week course (2 of 2) for Industry professionals with at least a bachelor’s degree in engineering or computer science with a strong background in college-level mathematics including differential calculus, linear algebra, and statistics.

ML Ops for Scaling TinyML

This course focused on MLOps for TinyML systems, revealing the unique challenges for TinyML deployments. Through real-world examples, it covered how tiny devices are deployed and updated once they’re with the end consumer, experiencing the complete product life cycle instead of just laboratory examples.

Deploying TinyML

This is a hands-on experience with embedded systems, machine learning training, and machine learning deployment using TensorFlow Lite for Microcontrollers. We implemented applications such as voice recognition, sound detection, and gesture detection.

Applications of TinyML

Through real-world case studies, guided by industry leaders, this course was a dive into the code for using sensor data for tasks such as gesture detection and voice recognition. Focusing on the neural network of the applications, specifically on training and inference.

The class also covered industry applications of TinyML as well as Keyword Spotting, Visual Wake Words, Anomaly Detection, Dataset Engineering, and Responsible Artificial Intelligence.

Fundamentals of TinyML

The first course in the TinyML Certificate series focuses on the basics of machine learning, deep learning, and embedded devices and systems, such as smartphones and other tiny devices. 

The class covered data science techniques for collecting data and develop an understanding of learning algorithms to train basic machine learning models.

CySA+

Project+

Network+

Security+