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The Machine Learning Engineer certification prepares professionals to design, build, and deploy machine learning models. It covers key topics like data preparation, algorithm selection, model evaluation, and scaling solutions. Ideal for those aiming to leverage machine learning to solve complex problems and drive data-driven decisions.
Instructor
Curriculum
Ratings
( 4.5 Ratings )
Live Online Classes starting on 01 January, 1970
Machine Learning Engineer
Machine Learning Engineer Overview
This one-day instructor-led course introduces participants to the big data capabilities of Google Cloud Platform. Through a mix of presentations, demos, and hands-on labs, participants gain an understanding of the Google Cloud Platform and its data processing and machine learning capabilities. The course highlights the ease, flexibility, and power of big data solutions available on Google Cloud Platform.
Target Audience
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Data analysts, data scientists, and business analysts new to Google Cloud Platform.
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Professionals responsible for designing data processing pipelines, maintaining machine learning and statistical models, querying datasets, and creating reports.
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Executives and IT decision-makers evaluating Google Cloud Platform for data science use.
Prerequisites Participants should have:
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Basic proficiency in SQL or a similar query language.
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Experience with data modeling and ETL (Extract, Transform, Load) activities.
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Programming experience in languages such as Python.
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Familiarity with machine learning and/or statistics.
Learning Outcomes Participants will learn to:
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Identify the purpose and value of key Big Data and Machine Learning products in Google Cloud Platform.
-
Use Cloud SQL and Cloud Dataproc to migrate MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform.
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Perform interactive data analysis with BigQuery and Cloud Datalab.
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Train and use neural networks with TensorFlow.
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Utilize ML APIs.
-
Choose the appropriate data processing products on Google Cloud Platform.
( 4.5 Ratings )
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Live Online Training (Duration : 8 Hours)
Guaranteed to run classes as per your convenient time zone
Industry experienced & certified trainers
Query Handling session by technical expert after 2 month completion of training
Career path counselling
Custom tailored training as per the requirement
Exam assistance
Exam Mock papers
100% Quality assurance with certified & industry experienced Trainer
Live Online Training (Duration : 8 Hours)
Guaranteed to run classes as per your convenient time zone
Industry experienced & certified trainers
Query Handling session by technical expert after 2 month completion of training
Career path counselling
Custom tailored training as per the requirement
Exam assistance
Exam Mock papers
100% Quality assurance with certified & industry experienced Trainer
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Our course is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.
Machine Learning Engineer Overview
This one-day instructor-led course introduces participants to the big data capabilities of Google Cloud Platform. Through a mix of presentations, demos, and hands-on labs, participants gain an understanding of the Google Cloud Platform and its data processing and machine learning capabilities. The course highlights the ease, flexibility, and power of big data solutions available on Google Cloud Platform.
Target Audience
-
Data analysts, data scientists, and business analysts new to Google Cloud Platform.
-
Professionals responsible for designing data processing pipelines, maintaining machine learning and statistical models, querying datasets, and creating reports.
-
Executives and IT decision-makers evaluating Google Cloud Platform for data science use.
Prerequisites Participants should have:
-
Basic proficiency in SQL or a similar query language.
-
Experience with data modeling and ETL (Extract, Transform, Load) activities.
-
Programming experience in languages such as Python.
-
Familiarity with machine learning and/or statistics.
Learning Outcomes Participants will learn to:
-
Identify the purpose and value of key Big Data and Machine Learning products in Google Cloud Platform.
-
Use Cloud SQL and Cloud Dataproc to migrate MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform.
-
Perform interactive data analysis with BigQuery and Cloud Datalab.
-
Train and use neural networks with TensorFlow.
-
Utilize ML APIs.
-
Choose the appropriate data processing products on Google Cloud Platform.
SpireTec solutions is the latest technology enabled I.Tmanagement training company specialized in offering 1500+ courses with the state of art training facilities backed by a team of industry experts in various domains with assuring best quality services.
Since SpireTec provides 24X7 training and support for your training needs is very adaptable to your time availabilities and offers customized training programs according to your availability and time zones of your contingent.
Because SpireTec aims for the personal & professional growth of you as individual & corporate as a whole, providing training on the latest and updated versions in the designated domains.
It is preferable but not mandatory to have domain experience in the area of your interest in which you want to opt training, supported by good English communication skills, a good Wi-Fi and computer or laptop system in case you want remote training.
Spire Tec aims and ensure to offer finest and world-class training to the participants by giving them a proper counselling and a guided career path by our industry experts which leads guaranteed success for you in the corporate world.
We offer online training (1-1, Group training), Classroom training, Onsite training with state of art facilities.