/

Things to Know Before Deploying Your First ML Model

Copy Link

Unlock This Lesson

27

min

Things to Know Before Deploying Your First ML Model

Things to Know Before Deploying Your First ML Model

Things to Know Before Deploying Your First ML Model

Things to Know Before Deploying Your First ML Model

publish date

Mar 12, 2025

duration

27

min

Difficulty

Intermediate

Beginner

Beginner

Beginner

Case details

Deploying your first ML model is a huge milestone, but it’s not as simple as just hitting “go.” Before you even get there, you need to ask yourself—do you really need ML, or would a rule-based system do the job just fine? One of the biggest headaches you’ll face is data; what works in training might completely fall apart in production because real-world data is messy and always changing. Deployment isn’t just about shipping a model—it’s about setting up the right pipelines, making sure there’s clear ownership, and avoiding disasters like outdated models or broken API contracts. And here’s the kicker: once your model is live, your job isn’t done—monitoring and continuous improvement are what keep it from becoming useless over time.

Share case:

About Author

Engineering Manager

Pranav Prabhakar is a skilled software engineer and technology leader with a strong focus on building scalable products. As the CTO & Co-founder of MiStay, he has played a key role in revolutionizing flexible hotel bookings in India. With prior experience as an Engineering Manager at ManyPets and a Software Engineer at LinkedIn, Pranav specializes in backend systems, product architecture, and engineering leadership. A graduate of IIT Madras, he has also worked on cutting-edge projects like automatic cinemagraph generation, blending his technical expertise with innovation in digital media.

Engineering Manager

Pranav Prabhakar is a skilled software engineer and technology leader with a strong focus on building scalable products. As the CTO & Co-founder of MiStay, he has played a key role in revolutionizing flexible hotel bookings in India. With prior experience as an Engineering Manager at ManyPets and a Software Engineer at LinkedIn, Pranav specializes in backend systems, product architecture, and engineering leadership. A graduate of IIT Madras, he has also worked on cutting-edge projects like automatic cinemagraph generation, blending his technical expertise with innovation in digital media.

Engineering Manager

Pranav Prabhakar is a skilled software engineer and technology leader with a strong focus on building scalable products. As the CTO & Co-founder of MiStay, he has played a key role in revolutionizing flexible hotel bookings in India. With prior experience as an Engineering Manager at ManyPets and a Software Engineer at LinkedIn, Pranav specializes in backend systems, product architecture, and engineering leadership. A graduate of IIT Madras, he has also worked on cutting-edge projects like automatic cinemagraph generation, blending his technical expertise with innovation in digital media.

Questions?

Chat with Us!

910 Foulk Road, Suite 201

Wilmington, DE 19803, USA

© 2025 Geekle. All rights reserved.

Questions?

Chat with Us!

910 Foulk Road, Suite 201

Wilmington, DE 19803, USA

© 2025 Geekle. All rights reserved.

Questions?

Chat with Us!

910 Foulk Road, Suite 201

Wilmington, DE 19803, USA

© 2025 Geekle. All rights reserved.

Questions?

Chat with Us!

910 Foulk Road, Suite 201

Wilmington, DE 19803, USA

© 2025 Geekle. All rights reserved.