35 hours
NA
Industry recognized
Certified Learners
Years Avg. faculty experience
Happy Clients
Average class rating
This MLOps course is a program which tackles the subject of deploying the Machine Learning models in production and at scale. Our MLOps course will help you to learn - best MLOps tools, techniques, and practices for deploying, evaluating, monitoring and operating production ML systems end-to-end. As part of this course, you will learn to deploy models into production environments using cutting edges open-source frameworks.
3478J HAL 2ND Stage, Chirush Mansion,
2nd & 3rd Floors, 13th Main Road,
HAL 2nd Stage,Indiranagar, 13th A Main Rd,
Bengaluru, Karnataka 560008
Phone - +1 (469) 756-6329 (USA) |
+91 84094 92687 (INDIA)
Email - Contact@DevopsSchool.com
AGENDA |
MODE |
DURATION |
---|---|---|
Mentioned below |
Online (Instructor-led) |
35 Hours |
[ Fixed - No Negotiations]
Few years back we use to talk and learn about software development lifecycle(SDLC) and the process it goes from requirement → designing → development → testing → deployment → and then maintenance. We were implementing the waterfall model moved to iterative model then to agile model of software development to DevOps.
But, now organisations are trying to integrate AI/ML into their process. This new concept of building ML systems adds/reforms some principles of the SDLC to give rise to a new discipline called MLOps.
MLOps is communication between data scientists and the operations or production team. It’s deeply collaborative in nature, designed to eliminate waste, automate as much as possible, and produce richer, more consistent insights with machine learning.
This concept is deeply collaborative in nature between data scientists and the operations or production team, designed to eradicate waste, automate as much as possible, and produce richer, more consistent insights with machine learning (ml).
FEATURES | DEVOPSSCHOOL | OTHER |
---|---|---|
Lifetime Technical Support | ||
Lifetime LMS access | ||
Exam Dumps after Training | ||
Group Discounts |
After the training each participant will get LIFETIME ACCESS of our Learning Management System (LMS) where you will get materials in the form of Class recordings, Notes, PDF slides, Web reference step by step guide, questions and answers, Dumps, test module, exercise and assignements.
No, we would have meeting through Gotomeeting application and DEMO will be on AWS lab so you do not have to install anything on your local machine.
The average salary for a Machine Learning Engineer in USA is up to $111,165 in early career and at midlevel, the salary would amount to $135,506 per annum. For an experienced Machine Learning Engineer in USA, the average salary is $147,575. The salary changes with experience and skills.
Participants after completion of the course will get interview preparation KIT. Guidance will be given by conducting mock interviews and questionnaires.
Yes, particiapnts will be given 1 real-time scenario based project under the guidance of trainers.
Yes! Please feel free to ask your questions on DevOpsSchool forum and our community and team of experts will answer your questions. We believe forum will add better perspectives, ideas, and solutions to your questions.
Abhinav Gupta, Pune
(5.0)The training was very useful and interactive. Rajesh helped develop the confidence of all.
Indrayani, India
(5.0)Rajesh is very good trainer. Rajesh was able to resolve our queries and question effectively. We really liked the hands-on examples covered during this training program.
Ravi Daur , Noida
(5.0)Good training session about basic Docker concepts. Working session were also good, howeverproper query resolution was sometimes missed, maybe due to time constraint.
Sumit Kulkarni, Software Engineer
(5.0)Very well organized training, helped a lot to understand the Docker concept and detailed related to various tools.Very helpful
Vinayakumar, Project Manager, Bangalore
(5.0)Thanks Rajesh, Training was good, Appreciate the knowledge you poses and displayed in the training.
Abhinav Gupta, Pune
(5.0)The training with DevOpsSchool was a good experience. Rajesh was very helping and clear with concepts. The only suggestion is to improve the course content.