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AI for Data Scientists: Advanced LLM Fine-Tuning & MLOps
A 1-Month Beginner-to-Advanced Roadmap for LLM Fine-Tuning and MLOps
CREATED BY
5.0
Team Lead Data Scientist at MiQ
|
8+ years of experience
About this Path
This learning path takes data scientists from foundational knowledge to advanced skills in large language model (LLM) fine-tuning and MLOps. You'll start with LLM architectures and MLOps fundamentals, then progress to advanced model structures and efficiency techniques. The path covers hands-on fine-tuning, prompt engineering, and parameter-efficient methods. You'll learn to build robust MLOps pip...
Path Overview
Beginner to Intermediate Level
Certificate of Completion
About 50 hours to complete
English Language
10 + Curated Videos
Learn Online at you own pace
6 Modules with Resources
Gamified & Interactive
Path Curriculum
A 1-Month Beginner-to-Advanced Roadmap for LLM Fine-Tuning and MLOps
6 Topics
โข
19 Subtopics
โข
71 Resources
Topic 1:
Introduction to LLMs and MLOps
Topic 2:
Advanced LLM Architectures
Topic 3:
Fine-Tuning Techniques for LLMs
Topic 4:
Building MLOps Pipelines for LLMs
Topic 5:
Deployment Strategies for LLMs
Topic 6:
Monitoring and Maintenance
What youโll learn
Understand the fundamentals of large language models and MLOps concepts.
Explore advanced LLM architectures and their key components.
Apply effective fine-tuning techniques, including prompt engineering and parameter-efficient methods.
Build robust MLOps pipelines for data versioning, experiment tracking, and model management.
Deploy LLMs efficiently and securely using best practices for scaling and compliance.
Monitor, maintain, and continuously improve LLMs in production environments.
Skills youโll gain with this path
LLM Basics
MLOps Fundamentals
Transformer Models
LLM Survey
Scaling Laws
Model Efficiency
Supervised Fine-Tuning
Prompt Engineering
Instruction Tuning
Parameter-Efficient Tuning
Model Evaluation
Data Versioning
Experiment Tracking
Model Registry
ML CI/CD
LLM Deployment
API Serving
Batch Processing
Streaming Inference
Inference Optimization
Deployment Security
Compliance Practices
Model Monitoring
Drift Detection
Logging Systems
Alerting Setup
Continuous Retraining
Certification of Completion
Get a verified certificate of completion to showcase on your LinkedIn profile.
CERTIFICATE of
COMPLETION
This IS PROUDLY PRESENTED TO
Your Name
This certificate acknowledges your successful completion of the AI for Data Scientists: Advanced LLM Fine-Tuning & MLOps and celebrates your commitment to personal and professional development.
Signature
FOUNDER, CTO
PRESENTED ON
30 Jul 2025
AI for Data Scientists: Advanced LLM Fine-Tuning & MLOps
5.0
Course Content:
10 Curated Videos
06 Modules with Resources
Created By Expert From MiQ
Gamified & Interactive
Certificate of Completion
AI for Data Scientists: Advanced LLM Fine-Tuning & MLOps