MLOps (Machine Learning Operations) Fundamentals Intermediate
The Google Cloud MLOps (Machine Learning Operations) Fundamentals course equips data scientists and ML engineers with tools to deploy, monitor, and automate production ML systems—solving the critical industry challenge where 87% of models never reach production. Designed for professionals transitioning from prototype to scalable AI solutions, it covers Vertex AI pipelines, CI/CD integration, and model monitoring using Google’s unified platform, enabling faster deployment cycles and operational rigor in real-world ML workflows.
This course prepares learners for the Professional Machine Learning Engineer certification exam, which validates expertise in automating pipelines and monitoring AI solutions on Google Cloud. Koenig Solutions provides official vendor-authorized courseware and 30-day lab access, ensuring hands-on mastery. Graduates gain a competitive edge, positioning them for roles in organizations increasingly investing in MLOps to improve model performance and business impact.
Training Formats & Pricing
100% Happiness Guarantee · Free Rescheduling · Secure Payment
Course Overview
The MLOps (Machine Learning Operations) Fundamentals course by Google is designed to equip learners with essential skills for deploying, evaluating, monitoring, and operating machine learning systems in production environments on Google Cloud. This course specifically supports professionals preparing for the Professional Machine Learning Engineer certification exam, a credential recognized across industries for its rigor and alignment with real-world AI engineering challenges. It serves data scientists, machine learning engineers, and cloud operations specialists aiming to bridge the gap between model development and scalable deployment. With 85% of enterprises adopting MLOps practices to improve model reliability and reduce time-to-production, this training addresses a critical industry need for standardized ML lifecycle management.
Participants engage directly with core Google Cloud tools including Vertex AI, Kubeflow Pipelines, BigQuery ML, Cloud Dataflow, TensorFlow Extended (TFX), and Vertex TensorBoard within hands-on labs conducted in the Google Cloud Console environment. Students build and automate end-to-end ML pipelines that include data validation, model training, hyperparameter tuning, evaluation, and deployment using pre-built components from the `google_cloud_pipeline_components` library. A key lab scenario involves configuring a continuous training pipeline triggered by Cloud Functions and Pub/Sub events, where models are retrained and redeployed based on new data inputs, simulating real-world operational demands. These labs emphasize CI/CD best practices, reproducibility, and metadata tracking to ensure robust, auditable workflows.
By completing the MLOps (Machine Learning Operations) Fundamentals course, learners gain direct preparation for the Google Cloud Professional Machine Learning Engineer certification, which validates expertise in building and maintaining production-grade AI systems. Certified professionals report average salary increases of up to 25%, with median salaries exceeding $145,000 in North America according to 2024 labor market data. Koenig Solutions enhances this learning path with Guaranteed-to-Run batches, official Google Cloud courseware, and access to expert instructors for 1-on-1 mentoring, ensuring mastery of complex MLOps concepts. Graduates are positioned to lead AI operationalization initiatives, driving innovation through reliable, scalable, and monitored machine learning solutions in enterprise environments.
What You'll Learn
Prerequisites
- Proficiency in machine learning concepts including model training, evaluation, and inference is required for the MLOps Fundamentals course on Google Cloud Skills Boost.
- Practical experience with Python programming is necessary for scripting and managing data workflows within the Google Cloud environment.
- Working knowledge of Vertex AI for managing the end-to-end machine learning lifecycle is essential for course success.
- Familiarity with Cloud Build for automating continuous integration and continuous delivery pipelines is required.
- Understanding of Artifact Registry for storing and managing container images and language packages is necessary for deploying ML models.
- Prior experience with Google Cloud storage and compute services is recommended to effectively navigate the MLOps learning path.
- The MLOps Fundamentals course on Google Cloud Skills Boost focuses on operationalizing machine learning models through automation, scalability, and best practices using Google Cloud tools.
Certification Exam
Everything you need to know about the MLOps (Machine Learning Operations) Fundamentals certification exam
What's Included in Your Training
Every enrollment comes packed with resources to maximise your learning and exam success
Exam Preparation Materials
Practice Test Questions (200+)
Certificate of Completion
Post-Training Support (30 days)
Session Recording Access
Free Rescheduling (7+ days notice)
Career Outcomes
of MLOps (Machine Learning Operations) Fundamentals certified professionals report career advancement within 6 months
Salary Impact
Average salary increase reported after obtaining the MLOps (Machine Learning Operations) Fundamentals certification
*Source: Glassdoor / LinkedIn 2025
Job Roles
- MLOps Engineer
- Machine Learning Operations Specialist
- AI/ML Platform Engineer
- Cloud ML Engineer
- ML Pipeline Engineer
- DevOps Engineer for Machine Learning
Companies Hiring
and 5,000+ organizations worldwide seeking MLOps (Machine Learning Operations) Fundamentals certified professionals
Course Student Reviews
Real results from IT professionals who trained with Koenig — rated 4.9/5 from 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.”
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.”
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.”
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.”
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.”
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.”
SC-300 Certified ✓ Verified -
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
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.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
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.”
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.”
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.”
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.”
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.”
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.”
SC-300 Certified ✓ Verified -
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
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.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
SC-300 Certified ✓ Verified
-
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
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.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
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.”
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.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
AZ-400 Team Training ✓ Verified
Frequently Asked Questions
Everything you need to know about the MLOps (Machine Learning Operations) Fundamentals training course
Is the certification exam included in the MLOps (Machine Learning Operations) Fundamentals course, and what is the exam fee?
What training formats are available for the MLOps (Machine Learning Operations) Fundamentals course, and is there a Guaranteed-to-Run option?
How long is lab access provided, and what type of environment is used for hands-on practice?
What is Koenig's rescheduling and cancellation policy for the MLOps (Machine Learning Operations) Fundamentals course?
What is the format, number of questions, passing score, and time limit for the Professional ML Engineer exam?
How long is the Professional ML Engineer certification valid, and what is the renewal process and cost?
What post-training support does Koenig provide after completing the MLOps (Machine Learning Operations) Fundamentals course?
What prerequisites or prior experience are recommended for the MLOps (Machine Learning Operations) Fundamentals course?
What is the average salary impact or career benefit after earning the Professional ML Engineer certification?
How does instructor-led training from Koenig compare to self-study for mastering MLOps on Google Cloud?
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