Production ML 101 – MLOps/LLMOps
Production ML 101 – MLOps/LLMOps, available at Free, has an average rating of 4.1, with 13 lectures, based on 18 reviews, and has 776 subscribers.
You will learn about Understand the approach to ML to Production Understand the fundamentals of MLOps in Production Understand MLOps as a process – From Business Discussions – ML in Production Evaluation of different types of tools – Make sense of plethora of tools Understand different job roles and their future roadmaps This course is ideal for individuals who are Beginner who wants to start their journey in ML in Production or Starting point for Data Scientists, Data Engineers, ML Engineers, MLOps Engineers, Data Product Managers, Engineering Leader It is particularly useful for Beginner who wants to start their journey in ML in Production or Starting point for Data Scientists, Data Engineers, ML Engineers, MLOps Engineers, Data Product Managers, Engineering Leader.
Enroll now: Production ML 101 – MLOps/LLMOps
Summary
Title: Production ML 101 – MLOps/LLMOps
Price: Free
Average Rating: 4.1
Number of Lectures: 13
Number of Published Lectures: 13
Number of Curriculum Items: 13
Number of Published Curriculum Objects: 13
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Understand the approach to ML to Production
- Understand the fundamentals of MLOps in Production
- Understand MLOps as a process – From Business Discussions – ML in Production
- Evaluation of different types of tools – Make sense of plethora of tools
- Understand different job roles and their future roadmaps
Who Should Attend
- Beginner who wants to start their journey in ML in Production
- Starting point for Data Scientists, Data Engineers, ML Engineers, MLOps Engineers, Data Product Managers, Engineering Leader
Target Audiences
- Beginner who wants to start their journey in ML in Production
- Starting point for Data Scientists, Data Engineers, ML Engineers, MLOps Engineers, Data Product Managers, Engineering Leader
Are you looking to start your journey in ML in production? Are you confused with so many tools? Are you confused about where to start your journey?
Did you know >50% of people discontinue their journey in ML in production because they feel overwhelmed.
Our comprehensive course on MLOps in production is designed to help you do just that to teach you the proper approach to ML in production.
According to the BCGs report, the pioneers of AI @ scale—the companies that have scaled AI across the business and achieved meaningful value from their investments—typically dedicate 10% of their AI investment to algorithms, 20% to technologies, and 70% to embedding AI into business processes and agile ways of working.
Why give so much importance to the tools? Rather emphasis should be given to the process.
This course is suitable for anyone looking to advance their machine learning skills, including Data engineers, ML engineers, Data Scientists, MLOps platform engineers, and MLOps Engineers. By the end of the course, you’ll have a deep understanding of the major root causes of failure in ML in production, the fundamentals of MLOps, MLOps as a process and the future roadmap in ML in production.
I have been working along with industry experts and industry mentors for the past year to understand the root causes in ML in production.
Course Curriculum
Chapter 1: Fundamentals of ML in Production
Lecture 1: Course Introduction
Lecture 2: Root Cause of Failure
Lecture 3: Fundamentals – ML System vs ML Code
Lecture 4: Fundamentals – ML Research vs ML Production
Lecture 5: Fundamentals – DevOps vs MLOps
Lecture 6: Fundamentals – MLOps vs LLMOps
Chapter 2: Making sense of tooling ecosystem
Lecture 1: MLOps as a mess – plethora of tools
Lecture 2: Making sense of the mess – End to End MLOps Lifecycle
Lecture 3: Making sense of the mess – Tooling Ecosystem
Lecture 4: Making sense of the mess – Levels of frameworks
Chapter 3: Future prospects in Production ML
Lecture 1: Industry of Production ML
Lecture 2: Career Prospects in Production ML
Lecture 3: Conclusion
Instructors
-
Tejaswini Allikanti
Founder at LearnMigo
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 1 votes
- 3 stars: 3 votes
- 4 stars: 5 votes
- 5 stars: 8 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
You may also like
- Top 10 Language Learning Courses to Learn in November 2024
- Top 10 Video Editing Courses to Learn in November 2024
- Top 10 Music Production Courses to Learn in November 2024
- Top 10 Animation Courses to Learn in November 2024
- Top 10 Digital Illustration Courses to Learn in November 2024
- Top 10 Renewable Energy Courses to Learn in November 2024
- Top 10 Sustainable Living Courses to Learn in November 2024
- Top 10 Ethical AI Courses to Learn in November 2024
- Top 10 Cybersecurity Fundamentals Courses to Learn in November 2024
- Top 10 Smart Home Technology Courses to Learn in November 2024
- Top 10 Holistic Health Courses to Learn in November 2024
- Top 10 Nutrition And Diet Planning Courses to Learn in November 2024
- Top 10 Yoga Instruction Courses to Learn in November 2024
- Top 10 Stress Management Courses to Learn in November 2024
- Top 10 Mindfulness Meditation Courses to Learn in November 2024
- Top 10 Life Coaching Courses to Learn in November 2024
- Top 10 Career Development Courses to Learn in November 2024
- Top 10 Relationship Building Courses to Learn in November 2024
- Top 10 Parenting Skills Courses to Learn in November 2024
- Top 10 Home Improvement Courses to Learn in November 2024