Discover How to Leverage Google Cloud to Manage Machine Learning Projects

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Managing Machine Learning projects with Google Cloud Course Overview


This course is designed to introduce learners to the fundamental concepts needed to effectively manage machine learning projects on the Google Cloud platform. Through this course, learners will gain an understanding of the various components that comprise a machine learning project and how these components work together to create the desired outcome. They will also learn how to identify and address common challenges in machine learning projects, as well as gain an understanding on how to best utilize the various tools available on Google Cloud to promote and ensure successful project management. This includes a complete overview of Google Cloud’s suite of services to plan, develop, deploy, and manage machine learning applications. At the end of the course, learners will be equipped with the necessary skills to effectively manage a machine learning project, from end-to-end, with the goal of getting the best performance and results.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

The 1-on-1 Advantage

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Flexible Dates

  • • Choose Start Date
  • • Reschedule After Booking
  • • Weekend / Evening Option
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4-Hour Sessions

Live Online Training (Duration : 16 Hours) Fee On Request
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
Date On Request
Course Prerequisites

• At least 3 years of experience in machine learning development
• Intermediate to advanced level knowledge of at least one scripting or programming language such as Python, Java, C++ etc
• Knowledge of core Machine Learning concepts such as Linear Regression, Logistic Regression, and Neural Networks etc
• Ability to use tools such as TensorFlow
• Familiarity with Google Cloud Platform and its services
• Familiarity with machine learning development using Google Cloud Platform services
• Basic knowledge of Docker and Kubernetes

Target Audience


The intended target audience for the Managing Machine Learning Projects with Google Cloud training is primarily developers, engineers and technical personnel with a basic understanding of machine learning, who wish to leverage the Google Cloud Platform technology for ML projects
The training is ideal for people working in the technical and data science domains looking to gain an in-depth understanding of ML models and how to effectively manage them using Google Cloud Platform
Professionals working in these domains who may benefit include software engineers, database administrators, Big Data architects, researchers, and DevOps engineers

Learning Objectives of Managing Machine Learning projects with Google Cloud


1. Learn how to use Google Cloud Platform (GCP) to build, deploy, and manage Machine Learning projects.
2. Understand the architecture of GCP and the services available, including Cloud Storage, Compute Engine, Cloud Machine Learning Engine, and BigQuery.
3. Learn how to evaluate different ML models and decide which model best meets the requirements.
4. Get hands-on experience with managing Machine Learning projects on GCP.
5. Understand the different stages of an ML project and the services and tools used in each stage.
6. Explore different use cases and analyze datasets to develop end-to-end Machine Learning solutions.
7. Optimize model training and deployment using GCP services.
8. Evaluate performance, discuss risks and trade-offs, and troubleshoot ML models using GCP.

Student Feedback  (Check Koenig Feedback on Trustpilot)

Q1 Say something about the Trainer? Q2 How is Koenig different from other training Companies? Q3 Will you come back to Koenig for training ?

Student Name Feedback
Abu
United States
A1. Yes, she was very clear & a strong mastery of both English & Azure platforms hence following was easy. She was also patient and was answering every question asked, she also shared material & tips on how to pass the exam, Well done, and keep it up.
Nick Barker
United States
A1. Calm and understanding, she not only kept the course running well but also took time to help those with lots of questions. Very well done.
Robin Johnson
United States
A2. Individual attention during training, excellent customer service and coordination. Neha has been ever so helpful and is definitely an asset to Koenig.
Shivani Prasad
United States
A1. The trainer was great and his teaching methods were incredible. He used different teaching methods to ensure I was learning well. A fun trainer with lots of patience and understanding.
Adam
United States
A1. The trainer was very knowledgeable and well prepared about the presentation/training subject, with a positive attitude towards students and making every effort in answering questions during the training session. Top-notch service!
Suresh
United States
A1. Exceptional... recommend to everyone!
Shyam Vaddakapett
United States
A1. My trainer, Mohit Kakkar was excellent as he focused on hands-on assignments to supplement the concepts of AZ 900. The training coordinator Jasmeet as well as the ops manager Sheshadri are also very professional and customer-centric. I recommend Koenig for training courses, and I will take some more courses with them soon.
Gilles Chirlias
United States
A1. Chavi was a great teacher, I have learned a lot from her. I would like to have her for the next training, which would be the AZ 301 and AZ 500.
Abdulrahman Saad Alshahrani
United States
A1. Excellent trainer. I will take another course with him someday. He deserves a good appreciation from his Manager.
Anonymous
United States
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FAQ's


1-on-1 Public - Select your start date. Other students can be merged.
1-on-1 Private - Select your start date. You will be the only student in the class.
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