Koenig Original Guaranteed-to-Run

Applied AI: From Data Science to MLOps

The Applied AI: From Data Science to MLOps course from Koenig Original equips data scientists and machine learning engineers to move models from development into reliable production systems. It solves the critical pain point of failed deployments and unmonitored models by covering end-to-end workflows in a 56-hour program.

This Koenig Original course features Guaranteed-to-Run dates and 1-on-1 training, preparing learners for MLOps leadership roles with lasting impact on scalable AI initiatives.

56 Hours (7 Days)
Live Online / Classroom
0+ professionals trained

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1-on-1 USD 2,850
Dedicated instructor, your schedule Fastest
Public Batch USD 2,250
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Self-Paced On Request
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Course Overview

The Applied AI: From Data Science to MLOps course by Koenig Original is designed for data scientists, machine learning engineers, and MLOps specialists aiming to bridge the gap between model development and production deployment. This program equips professionals with the skills to operationalize AI workflows, focusing on lifecycle management, reproducibility, and automation. With only 22% of companies successfully integrating machine learning into operations, according to industry surveys, the demand for skilled practitioners in this domain is rapidly increasing. The course prepares learners for real-world challenges in deploying scalable AI systems, making it ideal for those targeting roles such as MLOps Engineer, Machine Learning Engineer, or Cloud AI Specialist.

Participants engage with a robust suite of industry-standard tools including Azure Machine Learning, MLflow, DVC, Azure DevOps, GitHub Actions, and Kubernetes, all accessed through the Azure Portal and integrated development environments. The hands-on labs provide practical experience in configuring CI/CD pipelines, automating model retraining, and implementing monitoring for data drift and model performance. Students build and deploy a complete machine learning solution using the Azure MLOps (V2) Accelerator, configuring end-to-end workflows that include model packaging, version control, and automated deployment. This real-world project ensures learners gain proficiency in managing the full MLOps lifecycle within a secure, cloud-native environment.

This training supports career advancement by preparing candidates for vendor-aligned MLOps practices recognized across enterprises deploying AI at scale. Certified professionals report an average salary increase of up to 28%, with ML engineers commanding typical salaries between $115,000 and $145,000 globally. Koenig Solutions enhances learning outcomes with its Guaranteed-to-Run delivery model, expert instructors, and access to official courseware, ensuring reliable and high-quality training. Graduates emerge ready to lead AI initiatives, drive model governance, and implement scalable, maintainable machine learning systems in production environments.

What You'll Learn

Design an Azure Machine Learning workspace architecture to optimize AI project deployment
Implement data featurization and model training workflows for scalable AI solutions
Deploy Azure Machine Learning models using CI/CD pipelines for faster updates
Monitor and troubleshoot Azure ML model performance to ensure reliability
Automate MLOps pipelines with GitHub Actions for continuous integration
Manage the entire model lifecycle with Azure DevOps for seamless AI operations

Skills You'll Gain

Azure Machine Learning MLOps Pipeline Automation Azure DevOps Integration GitHub Actions for CI/CD Azure Model Monitoring Model Versioning Data Drift Detection Azure ML Workspace Azure Pipelines SageMaker Pipelines AWS Step Functions CI/CD for ML Model Retraining Automation Azure Model Deployment Azure Security Controls Responsible AI Implementation Azure IaC Configuration

Prerequisites

Recommended knowledge before taking this course
  • Working knowledge of Python for data manipulation and developing machine learning models with Azure Machine Learning, the leading cloud platform for AI deployment.
  • Experience with Azure Machine Learning service, including setting up workspaces and training models, essential for deploying AI solutions efficiently.
  • Familiarity with GitHub Actions to automate CI/CD workflows, streamlining machine learning pipeline deployment and updates.
  • Understanding of the complete machine learning lifecycle—training, evaluation, deployment, and monitoring—crucial for managing AI projects from start to finish.
  • Basic proficiency in infrastructure as code (IaC) using Azure CLI or Bicep, enabling scalable and repeatable AI infrastructure deployment.
  • Hands-on experience with version control of machine learning models and datasets via Git, ensuring reproducibility and collaboration in AI projects.
  • Mastering these prerequisites prepares you to excel in the 'Applied AI: From Data Science to MLOps' course by Koenig, which covers advanced AI deployment techniques.
  • This foundational knowledge is vital for professionals aiming to implement AI solutions that are reliable, scalable, and easy to maintain in cloud environments.
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Certification Exam

Everything you need to know about the Applied AI: From Data Science to MLOps certification exam

Exam Details
Exam Name
Applied AI: From Data Science to MLOps
Exam Cost
The Applied AI: From Data Science to MLOps course by Koenig is a hands-on, project-based curriculum
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
N/A
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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Architecting Applied AI Solutions
Define business goals for ML Design scalable ML architectures Choose optimal compute resources Provision Azure ML environments Manage secure data storage Apply ML security protocols Perform data exploration tasks Execute advanced data featurization
2
Day 2– Training and Evaluating ML Models
Select high-performance ML models Evaluate model accuracy metrics Optimize model training parameters Package models for production Enforce strict model governance Track full model lifecycles Debug complex ML model errors Orchestrate efficient ML pipelines
3
Day 3– Responsible AI and Production Deployment
Apply responsible AI frameworks Deploy models to production environments Build CI/CD for ML workflows Monitor live model performance Automate model retraining cycles Resolve production model issues Master core MLOps methodologies Leverage MLOps business benefits
4
Day 4– Advanced MLOps with Azure and GitHub
Integrate Azure DevOps and GitHub Track tasks via Azure Boards Manage code with Azure Repos Build pipelines using GitHub Actions Deploy Infrastructure as Code Manage packages via Azure Artifacts Configure Azure ML workspaces Establish secure workspace connectivity
5
Day 5– Automating Workflows with Koenig Original
Initialize secure Git repositories Automate GitHub Actions workflows Monitor automated workflow triggers Secure branches with policies Enforce mandatory code reviews Implement continuous integration cycles Execute automated code coverage checks Deploy via MLOps V2 architecture

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Hands-On Lab

Live Lab Sandbox

Real Environment

Practice in a real lab environment with full access to the tools and services covered in the course.

30+ Guided Labs

30+

Step-by-step lab exercises designed to reinforce each module with practical, hands-on tasks.

Lab Manual Included

Full Guide

Comprehensive lab guide with detailed instructions, screenshots, and troubleshooting tips.

Post-Training Access

30 Days

30 days of extended lab access after your training ends so you can continue practicing.

Career Outcomes

78%

of Applied AI: From Data Science to MLOps certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Applied AI: From Data Science to MLOps certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • MLOps Engineer
  • Machine Learning Engineer
  • Applied AI Engineer
  • ML Platform Engineer
  • AI Operations Specialist
  • Cloud MLOps Engineer

Companies Hiring

5,000+
Microsoft Amazon Accenture Deloitte JPMorgan Chase Goldman Sachs Capgemini IBM TCS Infosys

and 5,000+ organizations worldwide seeking Applied AI: From Data Science to MLOps certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

18,400+
Verified Reviews
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  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

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    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

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  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

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    David L.

    AI Engineer

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    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

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  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
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