LLM Engineering Curriculum Overview: 9-Week Roadmap to Fine-Tuning and Deployment

In this video, we explore the full curriculum and roadmap for the LLM Engineering & Deployment Certification Program by Ready Tensor.

You’ll get a clear view of how the program is structured across two modules —
one focused on fine-tuning open-source LLMs, and the other on deploying and managing them in production.

You’ll learn how each week builds on the last, what tools you’ll use, and what projects you’ll complete to earn certification.

Here’s what we cover:

- How the program is divided into two modules and nine total weeks
- What you’ll learn in each week — from data prep to deployment
- The purpose of both capstone projects and what they require
- Tools and platforms you’ll use: Hugging Face, DeepSpeed, Axolotl, AWS, and vLLM
- How this roadmap prepares you for real-world, production-grade AI work

📘 View the full lesson:
https://app.readytensor.ai/lessons/OlXWOUDG

✅ Join the Program:
https://www.readytensor.ai/programs/llm-engg-and-deployment/

About Ready Tensor:
Ready Tensor helps AI/ML professionals build, evaluate, and showcase intelligent, goal-driven systems through certifications, competitions, and real-world project publications.

🌐 Learn more:
https://www.readytensor.ai/

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Видео LLM Engineering Curriculum Overview: 9-Week Roadmap to Fine-Tuning and Deployment канала Ready Tensor