MlOps Trainers
MlOps Trainers For: Online - Classroom - Corporate Training in Worldwide
What is MlOps?
MLOps (Machine Learning Operations) is a practice that combines machine learning development with operational practices to automate and streamline the deployment, monitoring, and management of machine learning models in production environments. It extends the principles of DevOps to the machine learning lifecycle, focusing on improving collaboration between data scientists, machine learning engineers, and IT operations teams. MLOps ensures that models are efficiently deployed, continuously monitored, and retrained when necessary, helping to manage large-scale machine learning systems. It emphasizes version control, automation, and monitoring to make the machine learning process more scalable, reliable, and efficient for real-world applications.
Importance of Quality Trainer for MlOps?
A quality trainer is crucial for MLOps (Machine Learning Operations) because they ensure the accuracy, consistency, and effectiveness of machine learning models throughout their lifecycle. Here are key reasons why a skilled trainer is important in MLOps:
- High-Quality Models: A knowledgeable trainer helps create well-tuned models that perform optimally in real-world scenarios, minimizing errors and improving decision-making.
- Efficient Training Process: Trainers with expertise can optimize the training process, reducing time and resource consumption, which is essential in MLOps where continuous training and deployment are common.
- Handling Model Drift: As data changes over time, models may degrade in performance. A skilled trainer can identify and address model drift, ensuring models remain accurate and reliable.
- Automated Retraining: Quality trainers can automate retraining pipelines, helping to keep models up-to-date with minimal manual intervention, which is a core aspect of MLOps.
- Reproducibility: Trainers ensure that models are reproducible, meaning that the same model can consistently produce the same results across different environments—key to operationalizing machine learning in production.
- Collaboration: A quality trainer bridges the gap between data scientists, engineers, and operations teams by maintaining clarity in the training process, leading to smoother MLOps workflows and faster deployment cycles.
How DevopsSchool's Trainer is best in industry for MlOps?
DevOpsSchool's trainers are regarded as some of the best in the MLOps industry due to their deep expertise and practical, hands-on experience. They bring years of industry knowledge in both DevOps and MLOps, enabling them to teach real-world applications of machine learning operations. Their training programs cover the entire MLOps lifecycle, from data management to model deployment and monitoring, ensuring a comprehensive understanding of both technical and operational aspects. Additionally, they emphasize the use of cutting-edge tools and practices, providing learners with skills that are immediately applicable in production environments. This blend of expert knowledge, practical insight, and up-to-date curriculum makes DevOpsSchool’s trainers highly effective in preparing professionals for the challenges of MLOps.
How to contact DevOpsSchool.com
+1 (469) 756-6329
Contact@DevopsSchool.com
DevopsSchool.com
+91 84094 92687
OUR POPULAR CERTIFICAITON
| CERTIFICAITON / COURSES NAME | AGENDA | FEES | DURATION | ENROLL NOW |
|---|---|---|---|---|
| DevOps Certified Professional (DCP) | CLICK HERE | 24,999/- | 60 Hours | |
| DevSecOps Certified Professional (DSOCP) | CLICK HERE | 49,999/- | 100 Hours | |
| Site Reliability Engineering (SRE) Certified Professional | CLICK HERE | 49,999/- | 100 Hours | |
| Master in DevOps Engineering (MDE) | CLICK HERE | 99,999/- | 120 Hours | |
| Master in Azure DevOps | CLICK HERE | 34,999/- | 20 Hours | |
| MLOps Certified Professional (MLOCP) | CLICK HERE | 49,999/- | 100 Hours | |
| AiOps Certified Professional (AIOCP) | CLICK HERE | 49,999/- | 100 Hours | |
| DataOps Certified Professional (DOCP) | CLICK HERE | 49,999/- | 60 Hours | |
| Kubernetes Certified Administrator & Developer (KCAD) | CLICK HERE | 29,999/- | 20 Hours |
Features of DevOpsSchool:-
- Known, Qualified and Experienced Git Trainer.
- Assignments with personal assistance.
- Real time scenario based projects with standard evaluation.
- Hands on Approach - We emphasize on learning by doing.
- The class is consist of Lab by doing.
- Life time access to all learning materials & Lifetime technical support.
MlOps Course content designed by our MlOps Trainers
Day 1: Introduction to MLOps and Development Pipeline
Overview of MLOps
- ntroduction to MLOps
- Key differences between DevOps and MLOps
- Challenges in scaling machine learning models
- Benefits of implementing MLOps
- MLOps lifecycle and components
Machine Learning Pipeline
- Defining the ML pipeline
- Data collection, preprocessing, and feature engineering
- Model development workflow
- Model training and validation
- Monitoring model performance
Hands-on - Building a Simple ML Pipeline
- Set up a project repository
- Create a pipeline for data preprocessing
- Implement a basic machine learning model (e.g., scikit-learn)
Version Control & Experiment Tracking
- Version control for data, models, and code (using Git)
- Introduction to experiment tracking (using MLflow or Weights & Biases)
- Hands-on: Versioning and tracking experiments
Day 2: MLOps Infrastructure and Model Deployment
Infrastructure for MLOps
- Introduction to cloud services (AWS, GCP, Azure) for MLOps
- Containerization with Docker
- Orchestration with Kubernetes
- Hands-on: Dockerizing an ML model
CI/CD for Machine Learning
- Continuous Integration (CI) and Continuous Deployment (CD) in MLOps
- Tools: Jenkins, CircleCI, GitLab CI
- Automating testing and deployment of ML models
Model Deployment Techniques
- Deploying models as APIs (Flask, FastAPI)
- Batch vs. Real-time model serving
- Monitoring and scaling model deployments
- Hands-on: Deploy a model with FastAPI or Flask
Hands-on - Building a CI/CD Pipeline for ML
- Set up a basic CI/CD pipeline for automated testing and deployment
- Hands-on integration with Git and CI/CD tools
Day 3: Monitoring, Scaling, and Best Practices
Monitoring ML Models in Production
- Introduction to model monitoring and logging
- Monitoring model drift and performance degradation
- Tools for monitoring: Prometheus, Grafana, or MLflow
- Hands-on: Monitoring a deployed model
Model Retraining and Automation
- Automating the retraining process
- Scheduling model retraining (using Airflow or Kubeflow Pipelines)
- Hands-on: Automating model retraining
MLOps Best Practices and Governance
- Data governance and compliance in MLOps
- Best practices for MLOps pipelines and workflows
- Security in machine learning workflows
Scaling MLOps Pipelines
- Scaling ML pipelines with Kubernetes and cloud services
- Auto-scaling models in production
- Closing remarks and next steps
Need Assistance
Feel Free To Contact Us -
+1 (469) 756-6329
(USA Call-WhatApp)
+91 84094 92687
(India Call-WhatsApp)
Profiles - MlOps Trainers
Training Flow
Hear Words Straight From Our Clients About DevOpsSchool
These Trending Tools Should Learn For Best Career Opportunities.
FAQ
Can I attend a Demo Session?
To maintain the quality of our live sessions, we allow limited number of participants. Therefore, unfortunately live session demo cannot be possible without enrollment confirmation. But if you want to get familiar with our training methodology and process or trainer's teaching style, you can request a pre recorded Training videos before attending a live class.
Will I get any project?
We do not have any demo class of concept. In case if you want to get familiar with our training methodology and process, you can request a pre recorded sessions videos before attending a live class?
Who are the training Instructors?
All our instructors are working professionals from the Industry and have at least 10-12 yrs of relevant experience in various domains. They are subject matter experts and are trained for providing online training so that participants get a great learning experience.
Do you provide placement assistance?
No, But we help you to get prepared for the interview. Since there is a big demand for this skill, we help our students for resumes preparations, work on real life projects and provide assistance for interview preparation.
What are the system requirements for this course?
The system requirements include Windows / Mac / Linux PC, Minimum 2GB RAM and 20 GB HDD Storage with Windows/CentOS/Redhat/Ubuntu/Fedora.
How will I execute the Practicals?
In Cloud, We can help you setup the instance in cloud (AWS, Cloudshare & Azure),
the
same VMs can be used in this training.
Also, We will provide you with step-wise installation guide to set up the Virtual
Box
Cent OS environment on your system which will be used for doing the hands-on
exercises,
assignments, etc.
What are the payment options?
You can pay using NetBanking from all the leading banks. For USD payment, you can pay by Paypal or Wired.
What if I have more queries?
Please email to contact@DevopsSchool.com
What if I miss any class?
You will never lose any lecture at DevOpsSchool. There are two options available:
You can view the class presentation, notes and class recordings that are available for online viewing 24x7 through our site Learning management system (LMS).
You can attend the missed session, in any other live batch or in the next batch within 3 months. Please note that, access to the learning materials (including class recordings, presentations, notes, step-bystep-guide etc.)will be available to our participants for lifetime.
Do we have classroom training?
We can provide class room training only if number of participants are more than 6 in that specific city.
What is the location of the training?
Its virtual led training so the training can be attended using Webex | GoToMeeting
How is the virtual led online training place?
What is difference between DevOps and Build/Release courses?
Do you provide any certificates of the training?
DevOpsSchool provides Course completion certification which is industry recognized and does holds value. This certification will be available on the basis of projects and assignments which particiapnt will get within the training duration.
What if you do not like to continue the class due to personal reason?
You can attend the missed session, in any other live batch free of cost. Please note, access to the course material will be available for lifetime once you have enrolled into the course. If we provide only one time enrollment and you can attend our training any number of times of that specific course free of cost in future
Do we have any discount in the fees?
Our fees are very competitive. Having said that if we get courses enrollment in
groups,
we do provide following discount
One Students – 5% Flat discount
Two to Three students – 10% Flat discount
Four to Six Student – 15% Flat discount
Seven & More – 25% Flat Discount
Refund Policy
If you are reaching to us that means you have a genuine need of this training, but if you feel that the training does not fit to your expectation level, You may share your feedback with trainer and try to resolve the concern. We have no refund policy once the training is confirmed.
Why we should trust DevOpsSchool for online training
You can know more about us on Web, Twitter, Facebook and linkedin and take your own decision. Also, you can email us to know more about us. We will call you back and help you more about the trusting DevOpsSchool for your online training.
How to get fees receipt?
You can avail the online training reciept if you pay us via Paypal or Elance. You can also ask for send you the scan of the fees receipt.
Participant's Feedback
Gourav Singh
Deputy manager
Outstanding training. Rajesh has not wasted a time while creating VM's and fixing the bugs for half a day. He was well planned and created machines in AWs with in a min. His way of teaching is good, very good knowledge on devops tools. Thank you Rajesh. Only comment is please do not take more tools in a single training.
Raja Tomar
Senior Technical Consultant
I attended the Cloud computing course offered by scmGalaxvery .Since I am a complete newbie in it. I found it very informative.Rajesh carried out the session well with minimal wastage.It touched upon basics of devops, aws/ cloud computing and docker. i would like to have detailed sessions in the future as the course length was small as compared to topics available.
Reshma Rani
UX Design
I will rate 5 star to scmGalaxy. The Splunk course was really useful and value for money and trainer was great at explaining everything practically and giving good industry examples which has make me comfortable to implement it in live project.
Anagha Ranade
BMC Software India
I found cloud computing training (From Rajesh Kumar) useful and good. The training material is also very good.Trainer is knowledgeable. But IMO training course duration was not enough and many topics were covered in hurry.
Raja Tomar
Senior Technical Consultant
I attended the Cloud computing course offered by scmGalaxvery .Since I am a complete newbie in it. I found it very informative.Rajesh carried out the session well with minimal wastage.It touched upon basics of devops, aws/ cloud computing and docker. i would like to have detailed sessions in the future as the course length was small as compared to topics available.
Gourav Singh
Deputy manager
Outstanding training. Rajesh has not wasted a time while creating VM's and fixing the bugs for half a day. He was well planned and created machines in AWs with in a min. His way of teaching is good, very good knowledge on devops tools. Thank you Rajesh. Only comment is please do not take more tools in a single training.
DevOpsSchool is offering its industry recognized training and certifications programs for the professionals who are seeking to get certified for DevOps Certification, MlOps Certification, & MlOps Certification. All these certification programs are designed for pursuing a higher quality education in the software domain and a job related to their field of study in information technology and security.
BECOME AN INSTRUCTOR
Join thousand of instructors and earn money hassle free!
- Bangalore :-
DevOpsSchool Training Venue (Vervenest Technologies Private Limited) 3478J HAL 2ND Stage, Chirush Mansion, 2nd & 3rd Floors, 13th Main Road, HAL 2nd Stage,Indiranagar, Bengaluru, Karnataka 560008 - Hyderabad :-
DevOpsSchol Training Venue(Palmeto Solutions) 8th floor, Vaishnavi Cynosure,Telecom Nagar, Gachibowli, Telangana -500032 Land Mark : Reliance Digital Building, Next to Gachibowli Flyover.
TRENDING COURSES
- Master in DevOps Engineering (MDE)
- Master in Azure DevOps
- Master in Machine Learning
- Master in Big Data Hadoop
- Master in Artificial Intelligence
- Master in AppDynamics
- Master in Python Programming
- Master in Cloud Computing
- Master in Datadog
- Master in GitLab
- Master in New Relic
- Master in Splunk Engineering
- Master in Data Science
- Master in Deep Learning
- Master in Data Analytics