MLOps Mastery Program

Deploy and manage Machine Learning models with DevOps best practices — vital in AI-driven teams

12 Weeks Program
8 Real Projects
24/7 Mentor Support
$120K+ Avg. Salary

Your MLOps Journey

From ML basics to production-grade MLOps engineer in 12 weeks

1
Foundation
ML fundamentals, Python, Docker basics
2
MLOps Tools
MLflow, DVC, model versioning
3
Production
K8s deployment, monitoring, scaling
4
Expert
Advanced MLOps, real projects

Course Modules

Comprehensive curriculum designed by industry experts

🔬
ML Foundation & Setup
Week 1-2 • 16 hours
  • Machine Learning lifecycle overview
  • Python for ML & data science
  • Docker containerization basics
  • Git version control for ML
  • Virtual environments & dependencies
⚙️
MLOps Tools & Platforms
Week 3-5 • 24 hours
  • MLflow for experiment tracking
  • Data Version Control (DVC)
  • Model registries & versioning
  • Feature stores (Feast, Tecton)
  • CI/CD for ML pipelines
🚀
Model Deployment
Week 6-8 • 24 hours
  • REST APIs with FastAPI
  • Kubernetes for ML workloads
  • Serverless ML with AWS Lambda
  • Blue-green & canary deployments
  • Load balancing & auto-scaling
📊
Monitoring & Observability
Week 9-10 • 16 hours
  • Model performance monitoring
  • Data drift detection
  • Prometheus & Grafana setup
  • Alerting & incident response
  • A/B testing for ML models
🎯
Advanced MLOps
Week 11-12 • 16 hours
  • Multi-cloud ML deployments
  • ML pipeline orchestration
  • Cost optimization strategies
  • Security & compliance
  • Real-world case studies
🏆
Capstone Project
Week 12 • 8 hours
  • End-to-end ML project
  • Production deployment
  • Portfolio development
  • Interview preparation
  • Career guidance session

Real-World Projects

Build production-ready ML systems that impress employers

E-commerce Recommendation Engine

Build and deploy a scalable recommendation system with real-time inference and A/B testing capabilities.

Python MLflow Kubernetes Redis

Fraud Detection Pipeline

Create an automated fraud detection system with data drift monitoring and model retraining capabilities.

Spark Kafka Docker Prometheus

Computer Vision API

Deploy a computer vision model as a scalable API with image preprocessing and batch inference.

FastAPI TensorFlow AWS Grafana

Choose Your Path

Flexible pricing options to fit your learning style and budget

🚀 LIMITED TIME LAUNCH OFFER - Save up to 44% OFF! Offer expires soon! ⏰

Self-Paced

$497
$297
Save $200 (40% OFF)

Complete course access

  • Complete MLOps curriculum
  • 8 hands-on projects
  • Community access
  • Certificate of completion
  • 6 months access
Most Popular

Live Mentored Program

$1,497
$897
Save $600 (40% OFF)

With live sessions & 1-on-1 guidance

🚀 NEXT BATCH STARTS: AUGUST 4TH, 2025

🌅 WEEKEND BATCH:
Sat-Sun 8:00 AM - 11:00 AM IST
(Fri 9:30 PM - 12:30 AM EST)
🌙 WEEKDAY BATCH:
Tue-Thu 7:00 PM - 10:00 PM IST
(Tue-Thu 8:30 AM - 11:30 AM EST)
⭐ 12 weeks • 24 live sessions • Max 15 students per batch ⭐
  • Everything in Self-Paced
  • 24 live mentoring sessions (3 hours each)
  • Real-time code review sessions
  • Career guidance & interview prep
  • Direct access to instructor
  • Lifetime access to recordings

Career Accelerator

$2,497
$1,497
Save $1,000 (40% OFF)

Complete career transformation package

  • Everything in Mentored
  • Job placement assistance & referrals
  • Resume & LinkedIn optimization
  • Mock interviews with feedback
  • Salary negotiation strategies
  • 3 months post-completion support
  • Industry networking opportunities

Ready to Master MLOps?

Join hundreds of engineers who've transformed their careers with our expert-led training

Enroll Now Book Free Consultation