All current Model Deployment Courses courses in 2024
36 Courses
(KK) Generative AI with Large Language Models
Coursera
Dive into the fundamentals of generative AI with our comprehensive course on Large Language Models (LLMs). This program is designed to equip learners with essential knowledge to deploy generative AI in practical scenarios.
Understand the lifecycle of LLM-based generative AI and the key steps involved, including data gathering, model.
Coursera
SAT Certified Practitioner Exam Prep
Prepare to succeed on your first attempt with the SAT Certified Practitioner Exam Prep, brought to you by Udemy. This course is expertly designed to guide you through the intricacies of the SAT certification, equipping you with the knowledge and skills you need in this rapidly evolving field.
Dive deep into essential disciplines such as Arti.
Udemy
Tiny Machine Learning (TinyML)
Embark on a revolutionary learning journey with the Tiny Machine Learning (TinyML) Professional Certificate, co-created by Harvard University and Google TensorFlow. Dive into the world of TinyML, where machine learning is integrated into tiny devices and embedded systems, demanding expertise in applications, algorithms, hardware, and software..
edX
Tiny Machine Learning (TinyML)
In this exciting Professional Certificate program offered by Harvard University and Google TensorFlow, you will learn about the emerging field of Tiny Machine Learning (TinyML), its real-world applications, and the future possibilities of this transformative technology. TinyML is a cutting-edge field that brings the transformative power of machine.
edX
Operationalizing ML Models: MLOps for Scalable AI
In this course you’ll explore how to turn promising ML prototypes into robust, scalable, and maintainable systems that deliver real value. Through hands-on demos, practical tools, and real-world case studies from companies like Netflix, Uber, and Google, you’ll gain a comprehensive understanding of what it takes to run ML systems effectively in pro.
Coursera
AIOps: CI/CD for AI Systems
DevOps is a concept that has been around a long time and has been applied to ML and, recently, LLMs. In this course, AIOps: CI/CD for AI Systems, you’ll learn to apply CI/CD, a fundamental concept of DevOps, to ML, AI, and LLMs. First, you’ll explore how CI/CD pipelines work with ML models. Next, you’ll discover how to deploy to cloud environments.
Pluralsight
Generative AI and Model Selection
Generative AI and Model Selection | Southern New Hampshire University | Coursera
Delve into the realm of generative AI and discover the intricacies of selecting the perfect model to suit your requirements with this hands-on course. You will develop a robust understanding of generative AI models, and examine various deployment options such as web.
Coursera
Introduction to On-Device AI
Introduction to On-Device AI
As AI moves beyond the cloud, on-device inference is rapidly expanding to smartphones, IoT devices, robots, AR/VR headsets, and more. Billions of mobile and other edge devices are ready to run optimized AI models. This course equips you with key skills to deploy AI on device:
Explore how deploying models on devic.
Coursera