Deploy GenAI on your Desktop and On-premises

Master Local GenAI Deployment: Enhance Privacy & Reduce Costs


What you'll learn
Deploy open-source AI models locally on desktops and data centers.
Manage AI deployments to ensure data privacy and reduce costs
Use LM Studio and Ollama for efficient AI model management.
Gain hands-on experience with real-world AI deployment projects

Requirements
No specific prerequisites needed. Familiarity with basic AI concepts or tools is helpful but not required. Ideal for anyone interested in deploying AI locally.

Description
Unlock the full potential of generative AI with our comprehensive Udemy course designed for all levels, from beginners to advanced users. Whether you're interested in deploying open-source AI models on your desktop or integrating them into your company's on-premises data centers, this course offers the expertise and practical skills you need.
What You Will Learn:
Understanding Open Source Models
: Dive into the world of open-source generative AI models and discover how they can be customized and utilized effectively.
Local Deployment
: Learn step-by-step how to set up and run these models locally on your desktop with LM Studio and scale up to an on-premises data center using Ollama.
Privacy and Cost Efficiency
: Explore how local deployment allows for greater privacy, as your data does not need to be sent to external services. Understand the cost benefits of running models locally, avoiding the fees associated with cloud services like OpenAI.
Course Structure:
Introduction to Generative AI and Open Source Models
: Familiarize yourself with the basic concepts of AI and the advantages of open-source models.
Local Deployment on Desktop
: Hands-on tutorials to set up and deploy your first AI model using LM Studio on your desktop.
Scaling to On-Premises Data Centers
: Advanced techniques for deploying and managing AI models in a data center environment using Ollama, including loading models, testing, and API integration.
Key Features:
Hands-On Learning
: Each section includes practical exercises and real-world projects to help you apply what you've learned immediately.
Privacy Focused
: Learn how to keep your data private by running AI locally—ideal for handling sensitive or proprietary information.
Cost-Effective
: Reduce ongoing operational costs by managing AI deployments in-house without relying on external cloud services.
Who Should Enroll:
This course is ideal for anyone interested in leveraging the power of generative AI within their own infrastructure. Whether you're a developer, IT professional, or a curious enthusiast, you'll find valuable insights and skills to help you advance in the field.
Prerequisites:
No formal prerequisites are required, but familiarity with concepts related to ChatGPT or other AI technologies will be beneficial.
Enroll Now:
Join us today to begin your journey into the efficient and private deployment of generative AI models, and take control of your AI capabilities!
Who this course is for:
This course is designed for IT professionals, developers, and tech enthusiasts eager to leverage AI within their infrastructure. Ideal for those interested in privacy-focused, cost-effective AI solutions.

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