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MLOps Mastery In 60 Days (ML | GenAI | AWS)

Are you a Data Scientist, ML Engineer, or aspiring MLOps professional looking to break into the world of Machine Learning Operations? LearnYard’s Complete MLOps Course is designed to take you from zero to hero in MLOps, equipping you with real-world skills, industry-standard tools, and hands-on experience with end-to-end ML pipelines.

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MLOps Mastery In 60 Days (ML | GenAI | AWS)

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Doubt Support

Industry Standard MLOps Tools Covered

Industry Grade Projects Covered

Resume Building - Interview Preparation

Basic Course Details

              

Start Date - (1.0 Batch)

4th April 2025

Duration

~2.5 months

Live Classes

Sat (2 - 4 PM IST)

Recorded Classes

Unlock Every Sunday

Class Duration

2-2.5 hours

Doubt Sessions

Saturday Live Session

Recordings available?

Yes

Validity of Recordings

1 Year

Programming Languages

Python

Language of Communication

Hinglish

Master the Essential MLOps Tools & Techniques

Version Control & CI/CD – Git, DVC, Docker, Kubernetes
Model Tracking & Deployment – MLflow, Docker, AWS EKS
Monitoring & Observability – Prometheus, Grafana
Cloud & DevOps – AWS (IAM, S3, ECR, EC2, EKS, Sagemaker)

About the instructor

Vikash Das

Meet Vikash, a seasoned Data Scientist, MLOps Engineer, Educator, and Career Mentor with over 7 years of industry experience. Specializing in Generative AI, Python for Data Science, and Machine Learning, Vikash has a passion for making complex concepts simple and engaging. His expertise spans data analysis to deploying AI models in production, providing students with practical, real-world insights.

Whether you’re diving into Python for AI, learning about ML workflows, or exploring the power of generative models, Vikash is committed to helping you master the tools and techniques needed to succeed in today’s fast-evolving AI landscape.

Capstone Projects - Industry Grade Experience

GIT

DVC

MLFlow

Docker

CICD

Kubernetes

Prometheus

Grafana

Machine Learning Use Case

Generative AI Application

Project On AWS Sagemaker

Resume Building Session

Interview Tips and Tricks

Notes and QnA Docs

Career Guidance and Mentorship

What is System design

Why is it important?

What to Expect in a System Design Interview?

Operating Systems

Concurrency vs Parallelism

Networking & Distributed Systems

Microservices vs Monolith

Journey of a URL from browser to server

Startup challenges at scale

Vertical vs Horizontal scaling

Reliability

Maintainability

Scalability

Fault vs failures

Load

Latency vs throughput vs response time

CAP theorem

PACELC theorem

The Two Generals Problem

Paxos and Raft Consensus Algorithms

Consistent Hashing

Load Balancer

Proxy/Reverse Proxy

API Gateway

CDN

Caching

ACID vs BASE

Basics of Databases

RDBMS

Wide column databases

Document store

Search Database

Distributed cache

Distributed key value database

Time Series database

Distributed Queue

Blob storage

HDFS/GFS

Understand pros and cons of each and their applications

Different communication protocols

REST vs RPC

Batch Processing vs. Stream Processing

Heartbeat and Circuit Breaker

Idempotency

Database Scaling

Data Replication

Data Redundancy

Understand different formats of system design document

How to do back of the envelope calculations

Multiple examples of resource estimations.

Database Sharding

Fault Tolerance

Failover

Gossip Protocol

Distributed Locking

Checksum

Circuit Breaker

Exponential Back-off

Bloom Filters

Consistent Hashing

Quorum

Leader and Follower

Write-ahead Log

Segmented Log

High-Water Mark

Lease

Thift/GRPC

Gossip Protocol

Phi Accrual Failure Detection

Split Brain

Fencing

Checksum

Vector Clocks

Hinted Handoff

Read Repair

Merkle Trees

Design Google search

Design chat System

Design subscription service

Design youtube

Design Social media like instagram/twitter

Design tiny URL

Design pastebin

Read Repair

Discuss real interview questions from FAANG

Design chat System

Tips for cracking System design interviews

Why you should join this course

course1

Unlike traditional courses that focus only on implementation, we ensure you understand the "why" behind every concept. From intuition building to practical deep dives, we break down complex topics into easy-to-follow steps, making learning smooth and engaging.

Theory is not enough—that’s why our course is structured around real-world projects. You’ll gain experience working on end-to-end ML pipelines, cloud deployments, and scalable architectures that mirror actual industry use cases.

Get ahead with premium study resources—interview Q&A, coding exercises, and cheat sheets. Connect with top industry experts and build a strong MLOps network to boost your career.

Also, Get a Signed Certificate on successful Completion of the Course.

certificate
Love from our past students hearts
Hello sir, I recently discovered your video on MLOps, and I must say, your content is one of the best It's raw, clear, and incredibly understandable. Would love to connect for future guidance.
Sarvesh Maurya
Sarvesh Maurya
Sir apke Lecture ain last 3 days see dekh raha hun, sir apka sikhane ka tarika is way better than anyone in the IT industry. I really than you for becoming a My GURU. Thanks, A lot sir.
Vikas Rathod
Vikas Rathod
I never comment on any video or for channel, but your're dedication towards education is commendable bhai. You deserve millions of followers, so that more people learn from you, because you make videos without filter(cutting etc). Your way of teaching is amazing. Keep it up I really appreciate you effort. Love from Pakistan ♥.
itsfazeel
itsfazeel
Wow, this series is absolutely incredible! The way you dive into MLOps, Git, DVC, Python, and more in such detail is amazing. I especially love how you explain real- time industry projects — it really helps connect the theory to practical, real-world applications. Each video makes complex concepts so much easier to grasp, and the examples bring everything to life. The depth of knowledge you're sharing is truly valuable, and I can already see how much this is going to help in my learning journey. Thank you for putting so much effort into creating this content — it's truly making a huge impact!
AjayBendale-i6p
AjayBendale-i6p
Good Morning Sir, I just wanted to take a moment to sincerely thank you for your incredible MLOps playlist. Your structured and detailed explanations made complex concepts easy to grasp, and following your tutorials step by step, I was able to successfully deploy my projects. Your content has been a game-changer for me, and I truly appreciate the time and effort you put into making such high-quality educational videos. Please keep up the amazing work—your teachings are making a real impact!
Khushi Jain
Khushi Jain
i think i have landed upon the goldmine thank you very much you are teaching everything in detail about mlops never discontinue it.
ommanojsharma
ommanojsharma
I have a paid course on MLOps but this is way more awesome than that course thanks a lot, sir for making this playlist.
sarveshmaurya
sarveshmaurya
Sir I am a student at DePaul university, Chicago my skills depend on you please continue making more end to end projects after this series with industry standards. Don't look at views you will surely get millions soon.
Mayankcodezz
Mayankcodezz
very good. Cant belive i was able to understand and implement parellely with u. No one was able to explain these things this simple as u did. thank you so much. Except that last part where we store the dvc remote in aws. i think i can do that later but till this i have understood everything .May Allah bless u.
abdulaziz
abdulaziz
Such a detailed playlist. Kudos to you for creating this. Am sure this is gonna help a lot of people to enter MLOps field. hats off to you for the efforts.
akhilmnair3483
akhilmnair3483

Frequently Asked Questions

This course is designed for both freshers looking to enter the field of MLOps and experienced MLOps engineers wanting to upskill. We start with the basics and gradually move to more advanced topics, covering industry-grade projects to ensure you’re well-prepared for real-world challenges.

While prior experience in machine learning or AWS is beneficial, it is not necessary. We start from the fundamentals and guide you step-by-step through the concepts, so both beginners and those with some background can succeed.

The course features live classes every Saturday from 2-4 PM IST, along with over 35 hours of recorded content. Additionally, recordings of live sessions will be made available. You’ll have the opportunity to ask questions and interact with the instructor during live sessions, ensuring you get the most out of your learning experience.

You’ll need to dedicate around 7-10 hours a week to complete the coursework, including live sessions, recorded content, and hands-on practice. Consistency is key to mastering the material.

If you get stuck, you can ask your doubts directly to the instructor during the weekly live sessions. This ensures that you get real-time assistance and clarification on any concepts or exercises you’re struggling with.

No, you're not. Please reach out on support@learnyard.com ; our payments team will give you access as soon as they verify your case.

If you miss a class or live session, don’t worry! You’ll get access to the recording of the live session, so you can catch up at your convenience.

Yes, you will have access to the course materials for up to 1 year from the course start date, allowing you to revisit the content and reinforce your learning whenever needed.

Yes, we offer EMI options for the course fee. You can contact us at support@learnyard.com for more details and assistance with the EMI process.