Course Overview

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We’re thrilled to announce the launch of our course, Airgapped Offline Retrieval-Augmented Generation (RAG), designed to help you set up a fully offline RAG solution using open-source models and Docker. Whether you’re an engineer or architect, this course empowers you to deploy local model-serving pipelines with secure offline capabilities.

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Why Airgapped Offline Retrieval-Augmented Generation (RAG)?

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This course isn’t just about learning—it’s your gateway to:

  • Local Deployment Expertise: Learn to deploy and serve open-source LLMs locally using Docker containers.
  • Offline AI Mastery: Set up a fully offline RAG pipeline with Meta Llama open-source models.
  • Problem-Solving Skills: Understand the challenges of building and deploying offline AI systems.

By the end of this course, you’ll be ready to deploy secure and efficient offline AI systems for sensitive data handling.

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Who Is This Course For?

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This course is perfect for:

  • Deployment Specialists: Anyone looking to deploy open-source models locally or in closed-network environments.
  • Engineers and Architects: Professionals exploring secure and offline RAG solutions.
  • Tech Enthusiasts: Engineers eager to familiarize themselves with open-source models and offline AI pipelines.

Whether you’re just starting or refining your skills, this course is tailored to meet your needs.

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Meet Your Instructor

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Our expert instructor brings years of experience in AI system deployment and secure architecture. With practical insights and real-world projects, they’ll guide you every step of the way.

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Enroll Now and Get Started

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Ready to take the leap? Here’s what you’ll gain when you enroll:

  • Hands-On Project: Build a fully offline RAG pipeline using open-source models.
  • Expert Guidance: Learn from experienced professionals with proven expertise in secure AI systems.
  • Certification: Showcase your skills with a certificate of completion.

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What Learners Are Saying

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“A great course for anyone looking to deploy secure AI systems locally. Highly recommended!” — [Course Tester Name]

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FAQs

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Q: Do I need prior experience ?

A: Basic Python knowledge is recommended, but no prior AI or machine learning experience is required.

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Q: Is there a certificate of completion ?

A: Yes! You’ll earn a certificate of completion to showcase your new skills.

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Let’s Get Started!

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Don’t wait—your journey to mastering offline RAG solutions begins today. Sign up now and join a growing community of learners!

👉 [Start Learning Today!]

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