ML / LLM Ops
Our services in the LLMOps and MLOps training and development field are designed to equip individuals and organizations with the skills needed to operationalize machine learning and large language models at scale. We offer structured training programs ranging from foundational courses that introduce the core concepts of MLOps pipelines, CI/CD for ML, and model monitoring, to advanced modules that cover LLMOps best practices, fine-tuning large language models, and integrating LLMs into production workflows.
Participants will gain hands-on experience with industry-standard tools and frameworks such as MLflow, Kubeflow, Airflow, Vertex AI, Hugging Face, LangChain, and LangGraph, along with cloud platforms like AWS, GCP, and Azure for deploying and managing ML/LLM systems.
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Course Overview
ML / LLM Ops Live Course Overview
By the end of the course, participants will be able to:
✔ Write clean, efficient Python code & Solve problems using Python’s built-in data structures
✔ Automate repetitive tasks with scripts
✔ Perform data analysis with Python libraries
✔ Understand fundamentals of OOP and modules
✔ Build small projects for real-world applications
