Master Large Language Models with Coursera and Duke University
Join this comprehensive specialization to dive into the world of Large Language Models (LLMs). Explore topics such as generative AI techniques, open-source LLM management, and deployment on various platforms like Azure, AWS, Databricks, and local infrastructure.
Hands-on Learning with Real-World Projects
Through immersive projects and best practices, gain practical experience in designing, deploying, and scaling powerful language models for diverse applications. Showcase your skills by tackling real-world challenges and building a portfolio as a proficient LLMOps professional, preparing you for roles such as:
- Machine Learning Engineer
- DevOps Engineer
- Cloud Architect
- AI Infrastructure Specialist
- LLMOps Consultant
Applied Learning Projects
Complete over 20 hands-on coding projects, including:
- Deploying large language models on Azure and AWS clouds
- Utilizing Azure AI Service for building applications
- Creating powerful prompts with LLM frameworks
- Running local LLM models using external APIs and cloud services
- Constructing a chatbot based on personal data with vector databases
These projects, designed by experts at leading institutions, will give you authentic, portfolio-ready experience in deploying, managing, and optimizing large language models across various platforms and applications.
| Course 1 | Introduction to Generative AI |
| Course 2 | Operationalizing LLMs on Azure |
| Course 3 | Advanced Data Engineering |
| Course 4 | GenAI and LLMs on AWS |
| Course 5 | Databricks to Local LLMs |
| Course 6 | Open Source LLMOps Solutions |