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MLOps & Production ML Systems
Advanced program to deploy, scale and operate machine learning in production with full MLOps tooling and cloud infrastructure.
4.8
430 learners enrolled
Mentor: David Kim
- Length
- 20 weeks
- Live teaching
- 160+ hours
- Level
- Advanced
- Curriculum
- 8 modules · 16 topics
Live classes: Mon/Wed 8-10 PM (GMT).
About this program
An advanced program for engineers operationalizing machine learning. Across 20 weeks and 160+ live hours you build reproducible pipelines, CI/CD for models, feature stores, serving, monitoring, drift detection and governance on cloud infrastructure, culminating in a production MLOps capstone.
What you'll be able to do
- Build reproducible ML pipelines
- Implement CI/CD and model registries
- Serve models at scale
- Monitor performance and detect drift
- Govern and operate production ML
Tools you'll use
PythonMLflowDockerKubernetesAirflowAWS SageMakerPrometheusGrafana
Curriculum
-
01
MLOps Foundations & Reproducibility2 topics
- Reproducibility
- Versioning
-
02
Data & Feature Pipelines2 topics
- Pipelines
- Feature stores
-
03
Experiment Tracking & Registries2 topics
- MLflow
- Registries
-
04
Model Serving & APIs2 topics
- Serving
- APIs
-
05
CI/CD for Machine Learning2 topics
- CI/CD
- Testing
-
06
Monitoring, Drift & Observability2 topics
- Monitoring
- Drift
-
07
Scaling on Cloud & Kubernetes2 topics
- Kubernetes
- Scaling
-
08
Governance & Production Capstone2 topics
- Governance
- Capstone
- Certificate
Verified MLOps certificate with capstone review.
Projects you'll build
Hands-on work reviewed by your mentor. Together they become your portfolio.
- P1End-to-end MLOps pipeline
- P2Monitored model deployment capstone
Where it can take you
Roles this program prepares you for:
MLOps EngineerMachine Learning EngineerML Platform Engineer
Career counselling is included
A counsellor helps you plan the move, reviews your resume and LinkedIn, and prepares you for interviews for the roles above.
Your mentor
David KimPrincipal Cloud Architect
Certified across AWS/Azure/GCP, 12 years cloud delivery.
From learners
Nexify's live data science bootcamp completely changed my career. The mentors were world-class and I landed a role within 2 months.
The cybersecurity program was hands-on and practical. The SOC simulations were exactly what I needed for my new role.
Questions
Is career counselling included?
Yes. One-to-one career counselling is part of this program: help planning your path, check-ins while you learn, and preparation for applications and interviews.
Can I pay monthly?
Yes. You can finance this program with Climb Credit, subject to approval. Checking your rate is a soft credit pull and does not affect your credit score.
$18,999
$22,999Save $4,000
Or pay monthly with Climb Credit
- Live classes with your mentor
- Every session recorded
- 2 hands-on projects
- One-to-one career counselling
- Verified certificate
Questions?
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