MLOps and LLMOps Bootcamp
viaAgileFever•
4.0 Rating
Difficulty
Beginner
Cost
$1,600
Format
Instructor Led
Delivery
Online
Time Commitment
6 weeks 8 hrs/week
This online course provides comprehensive training on managing the machine learning lifecycle. Students will explore key concepts and tools essential for handling ML projects from inception to deployment. The program features a blend of self-paced learning and hands-on projects, ensuring a practical understanding of ML lifecycle management.
Designed for technical professionals and aspiring data scientists
Ideal for those interested in ML project management
No prerequisites required; beginners welcome
Self-paced online learning with hands-on projects
Focus on practical tools for ML lifecycle management
Engagement in real-world ML deployment scenarios
Gain practical skills in managing ML projects
Learn tools applicable to ML lifecycle stages
No certifications are covered by this course.
Graduate 2026
I recently completed a 6–7 week MLOps Bootcamp, where I gained hands-on experience in Machine Learning, MLOps, and LLMOps.During the program, I worked on multiple practical projects and developed a strong understanding of building and managing end-to-end ML workflows, including experiment tracking, data pipelines, and model lifecycle management.The bootcamp also covered Deep Learning concepts using Keras, along with model evaluation, handling overfitting, and fine-tuning techniques.Overall, this experience strengthened my ability to design and deliver scalable, real-world AI and machine learning solutions.
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