Next live batches: weekday 1st of every month · weekend first Saturday of the month · max 10 learners per batch
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Courses / Modelops / Modelops Foundation Training
Modelops · Level 01 · Corporate 1 Day

Modelops Foundation Training

Explain ModelOps and the model development life cycle, refresh ML basics and put a first model and its code under version control. Learn Modelops through a clear Foundation to Advanced path, with hands-on labs, live cohort options, certification support and full LMS access.

Last updated

Selected levelFoundation
Live onlineMax 8-10 hrs
Corporate (day-wise)1 Day
Self-paced LMS1 year
NEXT COHORT · 1st of next month

Live & Interactive session

₹34,999

Instructor-led cohort, max 8 to 10 hours, with demos, labs, Q&A, assignments and practical review.

  • Live small-batch cohort from soon.
  • Interactive discussion and lab troubleshooting.
  • Recommended for teams that need guided implementation.
Starts immediately

1:1 Live training

₹99,999

The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.

00Days
00Hrs
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Max 10 learners per batch · weekend batch first Saturday of the month
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About The Course

About Modelops Foundation Training.

Understand where Modelops fits in modern software delivery, what this level covers, and how the program builds practical confidence step by step.

Program overview

Modelops is taught as a practical technical skill for modern engineering, operations and platform teams. The course explains where the tool fits, how it is used in real delivery environments, and how learners can apply it through guided practice.

This DevOpsSchool Modelops program is built for working professionals who want usable skills instead of only conceptual exposure. The training emphasizes live examples, workflow clarity, operational controls and progressive skill depth from Foundation.

Visible agenda on this page: Foundation.
Corporate Training

Private Modelops training for delivery teams, platform groups and engineering organizations.

DevOpsSchool provides corporate Modelops training for teams that need faster adoption, workflow standardization, administrative control, integration guidance and governance-ready rollout. Private batches can be aligned to development practice, release workflow, access model, maturity level and internal tooling.

  • Private online or classroom delivery for engineering teams
  • Aligned to Modelops usage maturity, admin depth and collaboration patterns
  • Useful for rollout, migration, governance and workflow consistency goals
  • Can be tailored for developers, administrators, DevOps teams and leadership stakeholders

Why teams use DevOpsSchool

DevOpsSchool combines live demonstration, practical workflow discussion, implementation-oriented examples, and strong post-session learning support. That makes the training more usable for real teams than generic slide-led courses.

Training Options

Instructor-led, self-paced and corporate delivery options.

Compare delivery format, duration, level access and batch style. Fees are shown only in the top decision panel and once again after the agenda.

DurationModeLevel accessBatch
8 to 10 Hrs. maxLive & InteractiveFoundationPublic batch
8 to 10 Hrs. max1:1 Live trainingFoundationStarts immediately
1 year LMS accessSelf-paced videoAll 4 levelsAnytime access
1 DayCorporateModelops Foundation TrainingPrivate team batch
Learning Outcomes

What learners should be able to do after Modelops training.

The outcomes are written for practical delivery teams: developers, DevOps engineers, release engineers, administrators and technical leads.

Operationalise models reliably

Take models from development to production with version control, CI/CD, containers and Kubernetes.

Monitor, scale and secure

Keep deployed models observable, scalable and protected with metrics, alerts and access control.

Govern the model portfolio

Apply compliance, risk management and audit practices across every model the organisation runs.

Course Fit

Why this skill, what you will achieve, and who should attend.

Use this section to decide whether the course matches your role, current experience and expected Modelops responsibilities before reviewing the detailed agenda.

Why Modelops matters

  • Modelops helps teams standardize a critical part of their software delivery, infrastructure, automation or operations workflow.
  • It gives learners a repeatable way to move from basic usage to confident execution in team and enterprise environments.
  • For DevOps and platform teams, Modelops becomes more valuable when connected with automation, governance, monitoring and delivery practices.
  • Teams using Modelops effectively reduce ad-hoc execution and move toward consistent engineering standards.

Objectives

  • Understand Modelops concepts, architecture, terminology and operational usage patterns.
  • Learn practical configuration, workflow design, access controls, team usage and quality practices.
  • Apply Modelops in real delivery workflows using automation, integrations, traceability and governance patterns.
  • Build practical confidence to use Modelops for individual, team and organizational use cases.

Pre-requisites

  • Basic computer literacy and familiarity with software development workflows.
  • Helpful but not mandatory: introductory DevOps, cloud, automation or software delivery awareness.
  • No deep programming background is required for the Foundation and Essential levels.

Who this course is for

  • Developers, administrators and engineers who need practical Modelops usage skills.
  • DevOps engineers, release engineers, SREs and platform teams managing delivery standards.
  • Engineering leads and technical managers responsible for workflow quality, access controls and governance.
  • Corporate teams migrating to or standardizing on Modelops.
Cohort Schedule

Small-batch live training starts every month.

Weekday batches start on the 1st and weekend batches on the first Saturday of every month. One-to-one (1:1) training can start immediately; corporate sessions are scheduled on demand.

Weekend live batch

Starts on the first Saturday of every month. Weekend sessions with demos, labs and Q&A; max 10 learners.

Weekday live batch

Starts on the 1st of every month. Weekday sessions for working professionals and distributed teams; max 10 learners.

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Agenda Inheritance

Agenda depth up to the selected level.

This page shows the learning flow from Foundation through Foundation. Each level adds to the previous one, and the agenda stops at the current page level. Day counts are for corporate (day-wise) delivery; live online batches cover the same agenda in max 8 to 10 hours.

Foundation Level: ModelOps concepts, ML basics and version controlDay 1
  • Introduction to ModelOps: what ModelOps is, why it is important and where it sits beside MLOps, DataOps and AIOps
  • Model development life cycle: business problem, data, build, validate, deploy, monitor and retire
  • Model types in scope: machine learning, rules, optimisation, statistical models and generative AI models
  • Introduction to machine learning: types of machine learning and common algorithms
  • Feature engineering: transforming raw data into model features and avoiding leakage
  • Model selection and evaluation: train, validation and test splits and choosing metrics
  • Introduction to DevOps: DevOps principles and practices applied to models
  • Git and version control: repositories, branches and pull requests for model code and configuration
  • Model inventory: recording owners, purpose, data sources, versions and status for every model
  • First working example: training a scikit-learn model and saving a versioned artifact with metadata
Fees and Access

Choose live training or a full year of self-paced access.

If someone buys Foundation, Essential, Intermediate or Advanced as self-paced video, the price stays the same and access is granted to all four levels by default.

Live & Interactive session

₹34,999

Instructor-led cohort, max 8 to 10 hours, with demos, labs, Q&A, assignments and practical review.

  • Live small-batch cohort from soon.
  • Interactive discussion and lab troubleshooting.
  • Recommended for teams that need guided implementation.
Starts immediately

1:1 Live training

₹99,999

The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.

  • Start immediately: no waiting for the monthly batch.
  • One learner, one trainer: full attention on your questions.
  • Sessions planned around your working hours.
  • Your pace, with examples from your own projects and tools.
Training Method

Method of training and assessment.

The course emphasizes practical demonstration, hands-on labs and assignment-based validation instead of passive lecture-only learning.

SLMethod of training and assessmentWeightage
1Understanding the problem space5%
2Concept discussion10%
3Live demo and walkthrough25%
4Lab and hands-on exercises50%
5Assignments and evaluation10%
Hands-On Labs

Labs, exercises and real workflow practice.

Every level moves from explanation to hands-on practice, review and troubleshooting.

Version a first model

Train a simple model, save the artifact with metadata, commit code and configuration to Git and register it in a model inventory.

Foundation
Connected Toolchain

Modelops is taught as part of a working delivery ecosystem.

You learn where the tool sits in the wider engineering workflow, not in isolation.

Core foundations

Terminology, concepts, architecture and the operating model behind the tool.

Workflow traceability

Map practical work to tasks, approvals, documentation and delivery visibility.

Automation and integration

Use Modelops with validation checks, automation hooks and delivery workflows.

Governance controls

Operate with permissions, approvals, policy checks and production-safe workflows.

Assessment Path

How your practical work is assessed.

Your certificate is backed by labs, assignments, capstone thinking and completion evidence.

Assignments

Level-specific assignments verify setup, configuration, workflow quality and operating discipline.

Hands-on validation

Learners are expected to complete practical usage, automation and troubleshooting exercises.

Completion record

Certificate issuance is tied to demonstrated participation, practical completion and course-level coverage.

Led by Rajesh Kumar and the DevOpsSchool practitioner network.

Training is grounded in practical DevOps, SRE, security, release and platform engineering experience with real enterprise delivery context.

Certificate

Earn a DevOpsSchool Modelops certificate.

Completion includes a digital certificate with credential details, practical assignments and a learning record aligned to the selected Modelops level.

Certificate verification

Certificate of Completion

Modelops Foundation Training

Unique credential ID, verifiable online

Learner Reviews

What learners say about training with Rajesh Kumar.

★★★★★

“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.”

Indrayani, India · rated 5.0 on DevOpsSchool testimonials
★★★★★

“Very well organized training, helped a lot to understand the AWS concept and detailed related to various tools. Very helpful”

Sumit Kulkarni, Software Engineer · rated 5.0 on DevOpsSchool testimonials
★★★★★

“The training was very useful and interactive. Rajesh helped develop the confidence of all.”

Abhinav Gupta, Pune · rated 5.0 on DevOpsSchool testimonials

Rated 4.6 on Google · All testimonials · Video reviews on YouTube
Quoted as published, from learners in Rajesh Kumar's live trainings across DevOpsSchool courses.

Used by developers, DevOps engineers, release leads and engineering managers.

Private batches are available for teams that want the same agenda aligned to their own tools and workflows.

Comparison

Why this Modelops path is different.

The value is not only one course. The subscription unlocks the full learning ecosystem for one year.

FeatureDevOpsSchool Modelops TrainingTypical short course
LevelsFoundation, Essential, Intermediate, AdvancedSingle generic syllabus
Self-paced accessAll four levels plus 20+ courses and 50+ toolsUsually one course only
Live trainingDemos, labs, Q&A and assignment reviewOften lecture-heavy
CertificateDevOpsSchool completion certificateVaries by provider
FAQ

Questions learners ask before joining.

Does Foundation cost less than Advanced?

No. Self-paced pricing is intentionally the same because access includes all four levels by default.

What is included in the yearly subscription?

One year of complete LMS access, all four levels for the selected course, plus 20+ additional courses and 50+ tools access.

Can corporate teams request customization?

Yes. The live format can be aligned to team tools, governance requirements, workflows and internal delivery standards.

What is the recommended sequence?

Foundation → Essential → Intermediate → Advanced. The agenda is designed so each level builds on the previous one.

Need Assistance

Talk to DevOpsSchool before choosing the batch.

Use this support section for batch questions, corporate planning, LMS access clarifications, or guidance on which Modelops level fits your team.

Related Blogs

Extend the course with articles, explainers and workflow guidance.

Continue learning with supporting articles that connect Modelops practices to DevOps, automation, governance and delivery workflows.

Start Modelops Foundation training.

Next weekday batch starts on the 1st; weekend batch on the first Saturday. Batches are capped at 10 learners. Send your details and DevOpsSchool will share the syllabus and batch options.

We reply within 1 hour. Your details are sent securely, not in the page address. By submitting, you agree to be contacted by DevOpsSchool by email, phone or WhatsApp about this course.
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