Machine Learning on Google Cloud (Foundations)
The Machine Learning on Google Cloud course equips data scientists, ML engineers, and cloud developers with practical skills to design and deploy scalable machine learning solutions using Vertex AI, AutoML, BigQuery ML, and TensorFlow. It solves the critical industry challenge of transitioning ML prototypes into production—addressed by 78% of enterprises adopting MLOps practices per Google’s 2023 AI adoption report. Learners gain hands-on experience building, evaluating, and monitoring models while leveraging Google Cloud’s managed services for real-world AI deployment.
This course prepares learners for the Professional Machine Learning Engineer certification, which validates expertise in building production-grade AI systems on Google Cloud. Koenig Solutions offers official vendor-authorized courseware and 30-day lab access, enabling repeated practice of exam-critical tasks. Graduates are positioned to drive AI innovation, improve model performance, and lead scalable ML initiatives in enterprise environments.
Training Formats & Pricing
100% Happiness Guarantee · Free Rescheduling · Secure Payment
Course Overview
The Machine Learning on Google Cloud course by Google is designed to equip data scientists, ML engineers, and data analysts with the skills needed to build and deploy machine learning models using Google Cloud’s AI platform. This training directly supports preparation for the Professional Machine Learning Engineer certification, a credential recognized across the industry for validating expertise in productionizing and optimizing ML solutions on Google Cloud. With over 80% of Fortune 500 companies now leveraging Google Cloud for AI initiatives, demand for certified professionals has surged, making this course essential for those pursuing roles in enterprise AI development. The curriculum is ideal for individuals with basic Python proficiency and foundational knowledge of machine learning concepts who aim to advance into cloud-based ML engineering.
Participants gain hands-on experience with key Google Cloud services including Vertex AI, BigQuery ML, AutoML, Vertex AI Feature Store, Dataflow, and TensorFlow. Using the Vertex AI Workbench within the Google Cloud Console, learners build end-to-end ML pipelines through real-world labs, such as creating a customer lifetime value prediction model using custom TensorFlow training jobs containerized with Docker and deployed via Vertex AI. One core project involves constructing a scalable Kubeflow pipeline that ingests data from Cloud Storage, preprocesses it, trains a Keras model, evaluates performance, and logs results using Vertex ML Metadata. These labs emphasize best practices in feature engineering, hyperparameter tuning with Vizier, and model monitoring, ensuring students develop production-ready skills aligned with MLOps workflows.
This course prepares candidates for the Professional Machine Learning Engineer certification, which commands strong market recognition and an average salary of $150,000 in the United States according to industry compensation surveys. At Koenig Solutions, training includes official Google Cloud courseware and Guaranteed-to-Run batches, ensuring consistent access to expert-led instruction. By mastering the tools to design, evaluate, and operationalize AI solutions on Google Cloud, graduates are positioned to lead machine learning initiatives in high-impact domains such as predictive analytics, generative AI, and automated decision systems, driving innovation and career advancement in the evolving field of cloud AI engineering.
What You'll Learn
Prerequisites
- Basic proficiency in Python programming, including variables, data types, control flow (if/else, for loops), functions, and working with libraries such as NumPy and pandas, is essential for mastering Machine Learning on Google Cloud. This foundational knowledge enables effective data preprocessing and model development using Google Cloud's AI tools.
- Familiarity with core machine learning concepts such as supervised versus unsupervised learning, overfitting, underfitting, training/validation/test datasets, and evaluation metrics like accuracy, precision, and recall is crucial. These skills help learners build reliable models on Google Cloud Platform, ensuring successful deployment of machine learning solutions.
- Experience with Google Cloud Console and a basic understanding of Google Cloud services—including Compute Engine, Cloud Storage, and IAM roles—is vital. These skills allow learners to efficiently manage resources and secure their machine learning workflows on Google Cloud, leading to faster project deployment.
- Ability to write and execute SQL queries for data manipulation and analysis in BigQuery is necessary. This competence enables learners to prepare and analyze large datasets effectively, which is fundamental for training accurate machine learning models on Google Cloud.
- Understanding core mathematical concepts such as linear equations, histograms, statistical means, and functions as applied in data modeling is important. These mathematical skills underpin the development of robust machine learning models on Google Cloud, improving prediction accuracy.
- Hands-on experience building and training models using TensorFlow or Keras, including neural networks, loss functions, and optimization algorithms, is essential. This practical knowledge empowers learners to create sophisticated AI solutions on Google Cloud, enhancing their career prospects in AI and data science.
Certification Exam
Everything you need to know about the Machine Learning on Google Cloud (Foundations) 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 Machine Learning on Google Cloud (Foundations) certified professionals report career advancement within 6 months
Salary Impact
Average salary increase reported after obtaining the Machine Learning on Google Cloud (Foundations) certification
*Source: Glassdoor / LinkedIn 2025
Job Roles
- Machine Learning Engineer
- MLOps Engineer
- AI/ML Specialist
- Cloud AI Engineer
- Data Scientist
Companies Hiring
and 5,000+ organizations worldwide seeking Machine Learning on Google Cloud (Foundations) 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 Machine Learning on Google Cloud (Foundations) training course
Is the certification exam included in the Machine Learning on Google Cloud course, and what is the cost if separate?
What training formats are available for the Machine Learning on Google Cloud course, and is there a Guaranteed-to-Run option?
How long is lab access provided, and what environment is used during the Machine Learning on Google Cloud training?
What is Koenig's rescheduling and cancellation policy for the Machine Learning on Google Cloud course?
What is the format, number of questions, passing score, and time limit for the Professional Machine Learning Engineer exam?
How long is the Professional Machine Learning Engineer certification valid, and what is the renewal process and cost?
What post-training support does Koenig provide after completing the Machine Learning on Google Cloud course?
What prerequisites or prior experience are recommended for the Machine Learning on Google Cloud course?
What career impact and salary increase can professionals expect after earning the Machine Learning on Google Cloud certification?
How does instructor-led training for Machine Learning on Google Cloud compare to self-study in terms of exam success and skill retention?
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