LLM Ops: A Deep Dive

LLM Ops: A Deep Dive

6W (10 hrs/w)

6W (10 hrs/w)

AI Professionals, Developers, Data Scientists

AI Professionals, Developers, Data Scientists

ILT Workshop

ILT Workshop

About Course

About Course

This course focuses on the essential strategies and tools for deploying, managing, and optimizing large language models (LLMs) in real-world environments. Participants will gain a deep understanding of LLM operations, including fine-tuning, scalability, and performance monitoring. It explores practical workflows, ethical considerations, and the integration of LLMs into production systems. Ideal for AI professionals and developers, the course equips learners with skills to harness the power of LLMs effectively while addressing challenges like bias, cost-efficiency, and system reliability.

Skills You'll Acquire

Generative AI Concepts

Building AI Agents

Workflow Automation with LangChain

Advanced Prompt Engineering

Hugging Face

Hugging Face

Hugging Face

RAG

Methodology

Methodology

Hands-on, Case-study-led, Demo & Simulation

Hands-on, Case-study-led, Demo & Simulation

Lab/Logistics Details

Lab/Logistics Details

Target Audience: Developers, Machine Learning Practitioners, AI Engineers, Data Scientists

Target Audience: Developers, Machine Learning Practitioners, AI Engineers, Data Scientists

Pre-Requisites

Pre-Requisites

  • A foundational understanding of artificial intelligence and machine learning principles.

  • Basic programming knowledge, especially in languages commonly used for AI, such as Python.

  • Familiarity with deep learning concepts and frameworks like TensorFlow or PyTorch.

  • Experience with cloud computing and AI model deployment processes.

Learning Objectives

Learning Objectives

  • Understand the core principles and workflows for managing large language models (LLMs) in production environments.

  • Develop skills for fine-tuning and customizing LLMs for specific applications.

  • Learn techniques for optimizing scalability, reliability, and cost-efficiency of LLM-based systems.

  • Explore ethical considerations, including bias mitigation and responsible AI practices.

  • Gain practical experience with tools and platforms used for deploying and monitoring LLMs.

Curriculum

This Course contains 6 Modules.

1. Foundations of Generative AI and Prompt Engineering

1. Foundations of Generative AI and Prompt Engineering

  • Exploring the basics of Generative AI and its role in modern automation.

  • Designing effective prompts to optimize AI output quality.

  • Developing AI-driven software solutions tailored to business needs.

2. Operationalize Large Language Models (LLMs) on Azure

2. Operationalize Large Language Models (LLMs) on Azure

  • Harnessing Semantic Kernel for advanced query handling.

  • Strategies for deploying and scaling LLMs on Azure cloud.

  • Building RAG applications for enhanced information retrieval.

3. Advanced Data Engineering for AI Applications

3. Advanced Data Engineering for AI Applications

  • Constructing robust data pipelines to fuel machine learning.

  • Integrating message queues for efficient data workflows.

  • Utilizing cutting-edge databases: vector, graph, and key/value systems.

4. Building Generative AI Solutions on AWS

4. Building Generative AI Solutions on AWS

  • Leveraging AWS services for scalable AI solutions.

  • Deploying ML pipelines with Amazon Bedrock and other AWS tools.Hands-on labs

  • Cloud infrastructure essentials for machine learning innovation.

5. Enhancing AI Workloads with Databricks and Local LLMs

5. Enhancing AI Workloads with Databricks and Local LLMs

  • Optimizing ML and data engineering tasks using Databricks.

  • Deploying and running local LLMs like Llamafile and Mixtral.

  • Streamlining workflows with hybrid cloud and local model strategies.

6. Mastering Open-Source LLMOps Tools and Techniques

6. Mastering Open-Source LLMOps Tools and Techniques

  • Implementing open-source tools for cost-effective LLM operations.

  • Fine-tuning LLMs for niche applications.

  • Building versatile Generative AI solutions with open-source platforms.

Our Customers that are upskilling

Our Customers that are upskilling

Learn AI. Build The Future.

Learn AI. Build The Future.

Use Rag & LLM in your day to day work and see your career rocket.

Use Rag & LLM in your day to day work and see your career rocket.

Use Rag & LLM in your day to day work and see your career rocket.

AJR Pride, 3rd Floor
27th Main, Sector-1, HSR Layout,

Bengaluru, KA - 560102

Phone no.: +91-8123617991 | +91-8837709354

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Products & Initiatives

© 2025 – All Rights Reserved By Theseus Technologies Pvt. Ltd.

AJR Pride, 3rd Floor
27th Main, Sector-1, HSR Layout,

Bengaluru, KA - 560102

Phone no.: +91-8123617991 | +91-8837709354

Logo

Products & Initiatives

© 2025 – All Rights Reserved By Theseus Technologies Pvt. Ltd.

AJR Pride, 3rd Floor
27th Main, Sector-1, HSR Layout,

Bengaluru, KA - 560102

Phone no.: +91-8123617991 | +91-8837709354

Logo

Products & Initiatives

© 2025 – All Rights Reserved By Theseus Technologies Pvt. Ltd.