Cursussen
18835 Cursussen
Using Generative AI to Troubleshoot Linux
Using Generative AI to Troubleshoot Linux
The days of scouring Stack Overflow for troubleshooting help may be at an end. This course will teach you how to solve Linux operating system problems by using generative AI solutions like ChatGPT and GitHub Copilot. Troubleshooting Linux usually involves not only the good o.
Prompt Engineering Best Practices
Prompt Engineering Best Practices
This course will cover the craft of prompt engineering to elevate your AI capabilities. You'll gain expertise in designing effective prompts, managing model outputs, minimizing repetition, and enhancing model performance, without prior experience.
AI models can sometimes struggle to produce the desired output.
Pluralsight
On-Demand
Security Risks and Privacy Concerns Using Generative AI
Generative AI has the profound ability to impact and influence cybersecurity, yielding both favorable and adverse consequences. This course will teach you foundational aspects of generative AI and its implications on data and privacy concerns and how to remediate them.
In today’s current cyber landscape, threats are constantly evolving, and i.
Pluralsight
On-Demand
Stanford Seminar - When DNA Meets AI
Stanford Seminar - When DNA Meets AI
Join the Stanford Seminar on "When DNA Meets AI" to delve into the intriguing intersection of DNA and artificial intelligence. This course covers critical topics including ALS, coding, MD/PhD programs, challenges within the pharmaceutical industry, the advantages of data utilization, brain m.
YouTube
On-Demand
Microsoft Power Platform Fundamentals: Preparing to Take the PL-900 Exam
Microsoft Power Platform Fundamentals: Preparing to Take the PL-900 Exam
Microsoft Power Platform Fundamentals: Preparing to Take the PL-900 Exam
Low code / no code solutions have the potential to reduce development time by 90%. This course will introduce you to the PL-900: Microsoft Power Platform Fundamentals..
Stanford Seminar - Audio Research: Transformers for Applications in Audio, Speech and Music
Stanford Seminar - Audio Research: Transformers for Applications in Audio, Speech and Music
Course Title: Stanford Seminar - Audio Research: Transformers for Applications in Audio, Speech and Music
Description: This course aims to teach learners about the applications of Transformers in audio, speech, and music. The learning outcomes include und.
Stanford Seminar - Deep Learning for Medical Diagnoses
Stanford Seminar - Deep Learning for Medical Diagnoses
This course aims to teach learners about the application of deep learning in medical diagnoses. The learning outcomes include understanding traditional clinical diagnostic procedures, utilizing machine learning frameworks, detecting abnormalities in medical images such as X-rays, interpret.
YouTube
On-Demand
Stanford Seminar - Neuromorphic Chips - Addressing the Nanostransistor Challenge
Stanford Seminar - Neuromorphic Chips - Addressing the Nanostransistor Challenge
This course aims to teach learners about neuromorphic chips and how they address the nanotransistor challenge. The learning outcomes include understanding the concept of neuromorphic computing, implementing dendritic computation with subthreshold analog, and compari.
Stanford Seminar - Can the Brain Do Back-Propagation?
Stanford Seminar - Can the Brain Do Back-Propagation?
This course explores the concept of whether the brain can perform back-propagation. The learning outcomes include understanding online stochastic gradient descent, reasons why the brain may not be able to do backprop, and new methods for unsupervised learning.
Students will learn about the.
Bayesian Networks 1 - Inference - Stanford CS221: AI
Bayesian Networks 1 - Inference - Stanford CS221: AI
The course teaches students how to specify joint distributions compactly using Bayesian networks and factor graphs. It covers probabilistic inference, explaining away, consistency of sub-Bayesian networks, and applications such as medical diagnosis, language modeling, object tracking, multiple.
Stanford Seminar - Accessibility and the AI Autumn - Jeff Bigham
Stanford Seminar - Accessibility and the AI Autumn - Jeff Bigham
This course aims to educate learners on the importance of accessibility in the context of artificial intelligence. The learning outcomes include understanding human-computer interaction, challenging ability assumptions, designing for users with disabil.
YouTube
On-Demand
Stanford Seminar - Distributed Perception and Learning Between Robots and the Cloud
University: Stanford University
Provider: YouTube
Categories: Machine Learning Courses, Reinforcement Learning Courses, Federated Learning Courses
This course aims to teach learners about distributed perception and learning between robots and the cloud. The learning outcomes include understanding the key challenges of cloud robotics, distribu.
YouTube
On-Demand