Advanced Artificial Intelligence (Gashler)

Advanced Artificial Intelligence (Gashler)

An advanced topics course on artificial intelligence by Dr. Michael S. Gashler.

This course investigates some advanced topics in artificial intelligence, including deep Q-learning, kd-trees, nonlinear dimensionality reduction, cognitive architectures, using the extended Kalman filter with neural networks, and Bayesian graphical models (a.k.a. belief networks).

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Automated Report Generation with Generative AI (Coursera) Coursera
Coursera Instructor Network

Automated Report Generation with Generative AI (Coursera)

In today's data-driven world, generating reports efficiently is a valuable skill for professionals across various industries. This course introduces beginners to the world of automated report generation using AI-powered tools and techniques. You will learn how to leverage the capabilities of artificial intelligence to streamline the reporting process, save time, and improve data accuracy.

Sep 14th 2026
1 Week
Designing Autonomous AI (Coursera) Coursera
University of Washington,Microsoft

Designing Autonomous AI (Coursera)

When children learn how to hit a baseball, they don’t start with fastballs. Their coaches begin with the basics: how to grip the handle of the bat, where to put their feet and how to keep their eyes on the ball. Similarly, an autonomous AI system needs a subject matter expert (SME) to break a complex process or problem into easier tasks that give the AI important clues about how to find a solution faster.

Sep 14th 2026
4 Weeks
Ethics of Artificial Intelligence (Coursera) Coursera
Politecnico di Milano

Ethics of Artificial Intelligence (Coursera)

This course deals with the problems created, aggravated or transformed by AI. It is intended to give students a chance to reflect on the ethical, social, and cultural impact of AI by focusing on the issues faced by and brought about by professionals in AI but also by citizens, institutions and societies. The course addresses these topics by means of case studies and examples analyzed in the light of the main ethical frameworks.

Sep 14th 2026
4 Weeks
AI for Business: Generation & Prediction (Coursera) Coursera
Coursera Instructor Network

AI for Business: Generation & Prediction (Coursera)

Artificial Intelligence (AI) is not a new technology, it has been in development for decades. Today, however, AI is in the spotlight as it reshapes the way businesses operate, innovate, and engage with customers. Generative AI stands at the forefront of this transformation. This course demonstrates the foundations and practices of using Generative AI in Business settings.

Sep 14th 2026
1 Week
Quantization Fundamentals (Coursera) Coursera
DeepLearning.AI

Quantization Fundamentals (Coursera)

Generative AI models, like large language models, often exceed the capabilities of consumer-grade hardware and are expensive to run. Compressing models through methods such as quantization makes them more efficient, faster, and accessible. This allows them to run on a wide variety of devices, including smartphones, personal computers, and edge devices, and minimizes performance degradation.

Sep 14th 2026
1 Week
Machine Learning Rapid Prototyping with IBM Watson Studio (Coursera) Coursera
IBM

Machine Learning Rapid Prototyping with IBM Watson Studio (Coursera)

An emerging trend in AI is the availability of technologies in which automation is used to select a best-fit model, perform feature engineering and improve model performance via hyperparameter optimization. This automation will provide rapid-prototyping of models and allow the Data Scientist to focus their efforts on applying domain knowledge to fine-tune models. This course will take the learner through the creation of an end-to-end automated pipeline built by Watson Studio’s AutoAI experiment tool, explaining the underlying technology at work as developed by IBM Research.

Sep 14th 2026
4 Weeks