LLMOps Course Online

8 Lesson

40 Hours

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igmGuru offers the best LLMOps Training online worldwide. This course covers essential topics such as LLM lifecycle management, model deployment, prompt engineering, versioning, monitoring, evaluation, security, cost optimization, and CI/CD pipelines for large language models. The LLMOps course syllabus is designed by industry experts with over 15 years of experience in AI, machine learning, and MLOps, and includes practical, hands-on projects with real-world use cases. We have successfully trained 350+ professionals globally. Enroll in our LLMOps training to gain job-ready skills for managing and scaling LLM applications in production environments.

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LLMOps Course Overview

Prerequisites

Basic knowledge of Python
Understanding of machine learning fundamentals
Familiarity with cloud platforms is recommended

Who Should Enroll

Machine learning engineers
Data scientists
AI engineers
MLOps and DevOps professionals
Software engineers working with LLMs
Professionals deploying and managing AI models in production

What Will You Learn

Overview of LLMOps
LLM lifecycle management
Prompt engineering techniques
Fine-tuning and model customization
Model deployment and serving
Monitoring and evaluation of LLMs
Security and governance for LLMs
Scaling and cost optimization

Key Features

1 On 1 Training Option Available
24 X 7 Lifetime Support & Access
Small Batches Upto 10 Participants
Experienced & Professional Trainers
100% Job Assistance
Flexible Schedule

Course Curriculum

Lesson 1 - Introduction to LLMOps

1. Overview of LLMOps

2. LLM lifecycle and workflows

3. LLMOps vs MLOps

Lesson 2 - Data Management for LLMs

1. Data collection and preprocessing

2. Dataset versioning

3. Data governance and quality checks

Lesson 3 - Prompt Engineering and Fine-Tuning

1. Prompt design techniques

2. Fine-tuning approaches

3. Model customization strategies

Lesson 4 - Model Development and Experiment Tracking

1. Model versioning

2. Experiment management

3. Reproducibility best practices

Lesson 5 - Deployment of LLM Applications

1. LLM deployment architectures

2. API-based model serving

3. CI/CD pipelines for LLMs

Lesson 6 - Monitoring and Evaluation

1. Performance monitoring

2. Drift detection and logging

3. Evaluation metrics for LLMs

Lesson 7 - Security, Governance, and Responsible AI

1. Model security and access control

2. Data privacy and compliance

3. Bias, safety, and ethical considerations

Lesson 8 - Scalability and Cost Optimization

1. Scaling LLM workloads

2. Resource optimization

3. Cost management strategies

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1-800-7430-173 (US Toll Free)

+91 7240740740 (India)

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Course Fees

Online Class Room Program

US $ 799.00

100% Money Back Guarantee

Duration : 40 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 19 Jun 2026
Weekday Batch 22 Jun 2026
Weekend Batch 20 Jun 2026

Corporate Training

Customized Training Delivery Model
Flexible Training Schedule Options
Industry Experienced Trainers
24x7 Support

Trusted By Top Companies Worldwide

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LLMOps Certification

igmGuru provides a recognized LLMOps Course Completion Certificate after successful completion of the training program. This certification validates your skills in LLM lifecycle management, prompt engineering, model deployment, monitoring, governance, and cost optimization. Our certificate comes with lifetime validity and helps demonstrate your practical LLMOps and production AI skills.

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LLMOps Course Online