4/5

Google Certified Professional Machine Learning Engineer | 3 Days

Categorie:

4.6

Rating

40+

Enrolled

24

Course Hrs

11

Modules

Machine Learning Engineer Certification

Welcome to the Professional Machine Learning Engineer Certification course, your gateway to becoming an expert in machine learning with a focus on Google Cloud. An expert in Machine Learning Engineering creates, develops, and implements ML models to tackle business problems using Google Cloud technology and their understanding of successful ML models and methods. The ML Engineer implements ethical AI practices during the ML development process and works closely with other professionals to ensure the models’ long-term success.

Proficiency in model architecture, data pipeline management, and metric analysis is required. Familiarity with application development, data engineering, infrastructure management, and data governance is also necessary. The ML Engineer designs and creates scalable solutions with optimal performance by strongly understanding training, deploying, retraining, scheduling, monitoring, and improving models.

A pivotal part of this journey is gaining hands-on experience with critical Google Cloud services for machine learning. You will apply these services in real-world scenarios, equipping yourself with the skills in high demand in machine learning.

The demand for skilled professionals in machine learning, especially those with Google Cloud certification like the Professional Machine Learning Engineer certification, has steadily increased as organizations recognize the power of leveraging data for intelligent decision-making. As a Professional Machine Learning Engineer Certification course graduate, you will position yourself as an invaluable asset in today’s competitive job market.

With lifetime access to course materials and expert support available 24/7, we are committed to ensuring your success in the job market. Enrol today to become part of the future of data-driven decision-making and open doors to exciting career opportunities in the dynamic world of Google Cloud’s machine learning solutions. Take advantage of this thrilling journey!

Authentic Certificate

Earn a Certificate upon completion

Life Time Accessibility

Set and maintain flexible deadlines.

Online Classes

Start instantly and learn at your own

Beginner Level

No prior experience required.

Course Highlights

  • Expertise in Machine Learning: Acquire the skills to design, build, and deploy machine learning models grounded in Google Cloud’s core concepts and principles.
  • Data Preprocessing and Feature Engineering: Learn to prepare and transform data to extract meaningful features for machine learning.
  • Model Monitoring and Optimization: Understand how to monitor model performance and optimize machine learning solutions for ongoing success.
  • Orchestrate model training and deployment with TFX and Cloud AI Platform.
  • Operate deployed machine learning models effectively and efficiently.
  • Identify and use core technologies required to support effective MLOps.
  • Adopt the best CI/CD practices in the context of ML systems.
  • Devise a content-based recommendation engine.
  • Implement a collaborative filtering recommendation engine.
  • Advanced Deep Learning and Neural Networks

These highlights encapsulate the essential areas of focus and learning outcomes in the Professional Machine Learning Engineer Certification course.

Who Should Enroll?

The “Professional Machine Learning Engineer Certification” course is designed for individuals seeking to advance their machine learning expertise, especially within the Google Cloud ecosystem. While it welcomes anyone interested in upskilling, it holds particular value for the following roles within the IT and data analysis field:

  • Machine Learning Engineers: Ideal for engineers looking to deepen their knowledge and skills in designing and deploying machine learning models with Google Cloud.
  • Data Scientists: Data scientists can benefit from understanding Google Cloud’s machine learning solutions to extract insights from data.
  • AI Developers: AI developers can enhance their machine learning skills to create intelligent applications and systems.
  • IT Managers: IT managers can gain machine learning expertise to make data-driven decisions.
  • Professionals willing to excel in machine learning
  • Software Developers
  • Research Scientists
  • Software Engineers
  • Machine Learning
  • Machine learning data analysts Data engineers
  • ML Software Engineers
  • IT decision-makers
  • [INTERNAL] Customers, Partners, Googlers [EXTERNAL] This offering is for professional Data Scientists and ML Engineers looking to build
  • Analytics Managers

Enrol today to become a proficient Professional Machine Learning Engineer and play a pivotal role in shaping the future of data-driven decision-making with Google Cloud. Embrace this opportunity to enhance your career and expertise in the ever-evolving world of machine learning and Google Cloud certification.

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Details of the course you need to know

Training Duration

Training Days

3 Days

Exam Code

Exam Fee

Exam Duration

Passing Percentage

Why choose us?

Online Course

6+ hours of training videos for all the objectives. You will be amazed by the way of explaining the concepts that are very easy to understand.

Practice Questions

1 Full-length mock exams ( 85+ unique CompTIA Network+ N10-008 Exam practice questions

Expert Support

Our support team consists o experts, ready to clarify all your questions.

Lifetime Access

Our courses come with the lifetime license/validity. Once purchased, you can access them for the lifetime.

Testimonials / Feedback

CompTIA Network+ (N10-008) Revies from our customers

Feature that keep you going​

1

Easy to understand
A well-organised curriculum that simplifies the learning process and offers a clearer path to success

2

Certification
Upon successfully completing the course, you will receive a certificate of your achievement and dedication

3

24/7 Support

Our 24/7 support ensures that you’re never alone when facing questions, concerns, or challenges.

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