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#MLOpsRoadmap2024 #MLOpsCareerPath #MLOpsCompleteRoadmap #MLOpsCareers #Intellipaat

In this video on the "MLOps Roadmap 2024," you will learn about MLOps, its uses, and a comprehensive MLOps roadmap to become an MLOps engineer in 2024. This MLOps Career Path 2024 video covers topics such as the definition of MLOps, the use of MLOps, key components of MLOps, MLOps engineers' responsibilities, the required skills to become an MLOps engineer and a detailed roadmap for becoming an MLOps engineer in 2024. Additionally, we discuss who can transition to an MLOps engineer role and the salaries they receive in India and the USA. Make sure you watch the video till the end to clarify any doubts you may have about MLOps.

🔵 Following topics are covered in this session:
00:00 - Introduction
00:53 - What is MLOps?
01:22 - What is the use of MLOps?
01:51 - What are the key components of MLOps?
03:44 - What does an MLOps Engineer do?
04:06 - Skills required for MLOps Engineer
05:59 - MLOps Roadmap 2024
09:29 - Who can switch to the MLOps Engineer role?
10:02 - Top companies hiring for MLOps
10:22 - Salary for MLOps Engineer
10:39 - Conclusion


✅ What are the three stages of MLOps?
MLOps involves three key stages: development, deployment, and monitoring. In the development stage, models are crafted and refined. Deployment focuses on efficient model release and integration. Monitoring ensures ongoing performance, addressing issues like data drift. Successful MLOps implementation relies on mastering these stages for optimal machine learning model management.

✅ What is the future of MLOps?
The future of MLOps looks promising as businesses increasingly adopt machine learning. With automation, collaboration, and efficient deployment, MLOps streamlines the ML lifecycle. As demand grows, mastering MLOps tools, continuous integration, and cloud platforms will be crucial for professionals seeking to thrive in this evolving field.

✅ Is MLOps a good career?
The job outlook for MLOps engineers is strong. The field of machine learning and operations, or MLOps, is still new and multiplying. As more companies automate specific processes, there will be a need for people who can ensure that these processes are working as intended.


➡️ About the Course
Explore this Machine Learning course taught by IIT Madras faculty and industry experts that will help you master Machine Learning algorithms. This ML certification training will help you master Python, machine learning algorithms, statistics, and AI skills. Enroll in this training course and get your Machine Learning certification from IITM Pravartak.

➡️Who should take this course?
Experts have designed our ML course so that anyone, from a fresher/undergraduate or undergrad to a professional seeking a career change, can benefit from it.

✅ Key Features - (Course Features)
👉🏼50+ Live sessions across seven months
👉🏼218 Hrs Self-paced Videos
👉🏼200 Hrs Project & Exercises
👉🏼Learn from IIT Madras Faculty and Industry Practitioners
👉🏼1:1 with Industry Mentors
👉🏼Resume Preparation and LinkedIn Profile Review
👉🏼24*7 Support
👉🏼No-cost EMI Option

What’s Covered in This Program? -
✅Preparatory Session - Linux and Python
✅Data Wrangling with SQL
✅Python With Data Science
✅Linear Algebra and Advanced Statistics
✅Machine Learning
✅Supervised and Unsupervised Learning in ML
✅Performance Metrics
✅Deep Learning Using TensorFlow
✅Data Science Capstone Project
✅Business Case Studies

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