LLMOps course

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Master the operations of large language models. Acquire proficiency in the deployment, management, and optimization of extensive language models on a variety of platforms, such as Azure, AWS, Databricks, local infrastructure, and open source solutions, through practical projects.

Key AI Functions:Azure, Databricks

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Description for LLMOps course

Gain mastery in Large Language Models (LLMs) through a comprehensive Coursera and Duke University specialization, covering open-source LLM management and generative AI techniques on platforms like Azure, AWS, Databricks, and local infrastructure.

Acquire practical experience in designing, deploying, and scaling robust language models for diverse applications via immersive projects and industry best practices.

Build a portfolio demonstrating LLM management skills by tackling real-world challenges, preparing for roles such as Machine Learning Engineer, DevOps Engineer, Cloud Architect, AI Infrastructure Specialist, or LLMOps Consultant.

Engage in over 20 hands-on coding projects, including deploying LLMs on Azure and AWS, creating prompts with LLM frameworks, running local models using external APIs, and building chatbots with vector databases, to gain authentic, portfolio-ready experience.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 21

Offered by: On Coursera provided by Duke University

Duration: 5 months at 10 hours a week

Schedule: Flexible