Corporate Machine Learning on Google Cloud Platform Training Course

Name: Machine Learning on Google Cloud Platform Training
Availability: InStock

Edstellar's Machine Learning on Google Cloud Platform instructor-led training course equips teams with the tools available on GCP to build ML model, ML pipeline, and generative AI projects. Upskill your teams with the knowledge of building AutoML models without writing a single line of code, and scaling the models with GCP's infrastructure.

Duration

32 - 40 hrs

Delivery Type

Instructor-led Group Training
(Virtual / On-site / Off-site)

Training Available in

10 Languages

Multiple Locations

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Looking for multiple trainings? Get a detailed quote for group training

About Learning Outcomes Key Benefits Course Outline Target Audience Training Modes Certificate Trainers Request a Training Quote

Drive Team Excellence with Machine Learning on Google Cloud Platform Corporate Training

On its trusted cloud platform, Google delivers a wide range of innovative machine learning products, solutions, and applications, allowing businesses to effortlessly construct and implement machine learning algorithms and models. This ecosystem supports a broad range of ML tasks, from data processing and analysis to model development and deployment, all within a secure, scalable environment. The need for Machine Learning on GCP training stems from the growing demand for intelligent, data-driven decision-making processes in businesses.

Edstellar's Machine Learning on Google Cloud Platform instructor-led training course can be customized to meet organizations' requirements. The virtual/onsite Machine Learning on Google Cloud Platform training course, led by expert trainers, ensures professionals gain hands-on experience and knowledge that they can readily apply in their field and stimulate organizational growth.

Get Customized Expert-led Training for Your Teams

Customized Training Delivery

Scale Your Training: Small to Large Teams

In-person Onsite, Live Virtual or Hybrid Training Modes

Plan from 2000+ Industry-ready Training Programs

Experience Hands-On Learning from Industry Experts

Delivery Capability Across 100+ Countries & 10+ Languages

Skills Your Employees Will Gain

These are the core, hands-on capabilities your team builds during the program.

Data Analysis
Data Analysis is the process of inspecting, cleansing, and modeling data to discover useful information. This skill is important for roles like data scientist and business analyst, as it drives informed decision-making and strategy development.
Model Design
Model Design is the process of creating representations of systems or concepts to solve problems or visualize data. This skill is important for roles in data science, engineering, and product development, as it aids in effective communication and decision-making.
Performance Evaluation
Performance Evaluation is the systematic assessment of employee performance against set objectives. This skill is important for managers to identify strengths, areas for improvement, and drive team success.
Cloud Implementation
Cloud Implementation is the process of deploying and managing cloud services. this skill is important for IT professionals as it enables efficient resource management and scalability.
Results Interpretation
Results Interpretation is the ability to analyze data and draw meaningful conclusions. This skill is important for roles like data analysts and researchers, as it drives informed decision-making.
Workflow Optimization
Workflow Optimization is the process of improving efficiency by streamlining tasks and processes. This skill is important for roles in project management and operations, as it enhances productivity and reduces costs.

What Your Team Will Achieve After This Training

Analyze data using machine learning techniques to derive insights and patterns
Design and develop machine learning models tailored to specific business needs
Evaluate model performance and make improvements based on evaluation metrics
Implement machine learning solutions on Google Cloud Platform for scalability and efficiency
Interpret machine learning results and communicate findings to stakeholders effectively
Optimize machine learning workflows for cost-effectiveness and resource utilization
Troubleshoot machine learning models and address performance issues
Deploy machine learning models into production environments for real-world applications

Topics & Program Outline

The curriculum is organized into focused modules built by industry experts and delivered virtually or on-premise. Interactive sessions reflect the evolving demands of the workplace, keeping the learning both relevant and practical.

Introduction to AI and Machine Learning on Google Cloud

Overview of AI and machine learning
- Introduction to artificial intelligence
- Basics of machine learning
Introduction to Google Cloud Platform (GCP) for ML
- Overview of GCP services for ML
- Benefits of using GCP for ML workloads

Launching into Machine Learning

Getting Started with machine learning
- Understanding ML concepts and terminologies
- Setting up a development environment
Exploring machine learning models
- Supervised, unsupervised, and reinforcement learning
- Understanding model training and evaluation

TensorFlow on Google Cloud

Introduction to TensorFlow
- Overview of TensorFlow framework
- Benefits of TensorFlow for ML development
TensorFlow on Google Cloud platform
- Using TensorFlow on GCP
- Integrating TensorFlow with other GCP services

Feature Engineering

Understanding feature engineering
- Importance of feature engineering in ML
- Techniques for feature selection and transformation
Feature Engineering with Google Cloud
- Perform feature engineering using BigQuery ML, Keras, and TensorFlow
- Best practices for feature engineering in GCP environment

Machine Learning in the Enterprise

Enterprise ML workflows
- Overview of ML workflow in enterprise settings
- Challenges and considerations for enterprise ML projects
Deploying ML Models on Google Cloud
- Strategies for model deployment in production
- Monitoring and managing ML models in production environments

Who Should Attend?

This program suits professionals at many levels across the organization, including:

Data Scientists
Machine Learning Engineers
Cloud Engineers
AI Specialists
IT Managers
Data Analysts
Google Cloud Architects
Machine Learning Consultants
Cloud Data Scientists
AI Engineers
IT Analysts
Data Engineers

What are the Prerequisites?

Professionals with a basic understanding of machine learning concepts and algorithms and familiarity with programming languages such as Python can take up the Machine Learning on Google Cloud Platform training course.

Request a Quote for your Corporate Training Requirements

Delivering Training for Organizations across 100 Countries and 10+ Languages

Choose the Format That Fits Your Team

We design training your teams actually engage with, and deliver it the way that suits you best. Through a vetted global trainer network, Edstellar runs sessions in 10+ languages with consistent quality anywhere.

Virtual Machine Learning on Google Cloud Platform Training

Virtual / online: expert-led live sessions delivered anywhere, with consistency and easy scheduling.

We deliver anywhere worldwide

Standardized content for consistent outcomes

Join from own workspace, no travel

We scale to large groups across sites

Interactive tools keep remote learners engaged

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On-site Machine Learning on Google Cloud Platform Training

On-site (in-house): immersive, instructor-led learning at your office.

Our trainers run face-to-face at your office

We tailor setup/content to your workplace and tools

Group exercises drive collaboration

Live demos + hands-on practice

Direct trainer access to clarify doubts

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Off-site Machine Learning on Google Cloud Platform Training

Off-site: focused, instructor-led group learning away from everyday workplace distractions.

We host your teams at a venue of your preferred choice

Built-in group activities for bonding

Full uninterrupted schedule for focus/retention

Boosts morale and signals commitment

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What Sets Edstellar Apart

Experienced Trainers

Our trainers are drawn from a vetted global network and bring years of industry expertise, keeping every session practical and impactful.

Proven Quality

With a strong global track record, Edstellar is known for quality and engaging delivery.

Industry-Relevant Curriculum

Our programs are built by experts to match the demands of today's industry.

Fully Customizable

Every program can be tailored to your organization's goals.

Comprehensive Support

We provide pre- and post-session support for a complete learning experience.

Global Multi-Location & Multilingual Training Delivery

We deliver in multiple languages to support diverse global teams.

Hear from Organizations We've Trained

"The Machine Learning on Google Cloud Platform training exceeded my expectations in every way. As a Senior Business Intelligence Developer, I gained comprehensive knowledge of practical applications that transformed my practical and immediately applicable. My ability to architect solutions and solve complex problems has improved substantially. The instructor's expertise in practical simulations made complex concepts crystal clear and actionable.”

Lemuel Chandler

Senior Business Intelligence Developer,

Cognitive Computing Solutions Provider

"The Machine Learning on Google Cloud Platform training enhanced my ability to architect and implement sophisticated technical mastery strategies. Understanding strategic frameworks through intensive hands-on exercises exercises proved to optimize enterprise initiatives. We've reduced implementation timelines by 45% on comparable projects. The detailed exploration of real-world case studies provided methodologies I leverage in every engagement.”

Mikkel Larsen

Principal Data Analyst,

Predictive Analytics Firm

"The Machine Learning on Google Cloud Platform training transformed our team's entire approach to strategic implementation management and execution. As a Lead Data Scientist, the extensive coverage of industry best these proven concepts to enhanced capabilities. Our department achieved a remarkable 50% improvement in operational efficiency metrics. Our team's productivity and solution quality have improved measurably, validating this investment.”

Jibril Taysir

Lead Data Scientist,

Intelligent Automation Company

“Edstellar’s IT & Technical training programs have been instrumental in strengthening our engineering teams and building future-ready capabilities. The hands-on approach, practical cloud scenarios, and expert guidance helped our teams improve technical depth, problem-solving skills, and execution across multiple projects. We’re excited to extend more of these impactful programs to other business units.”

Aditi Rao

L&D Head,

A Global Technology Company

Recognition That Motivates Your Team

Upon successful completion of the training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

Corporate Machine Learning on Google Cloud Platform Training Course

Drive Team Excellence with Machine Learning on Google Cloud Platform Corporate Training

Skills Your Employees Will Gain

What Your Team Will Achieve After This Training

Topics & Program Outline

Introduction to AI and Machine Learning on Google Cloud

Launching into Machine Learning

TensorFlow on Google Cloud

Feature Engineering

Machine Learning in the Enterprise

Who Should Attend?

What are the Prerequisites?

Choose the Format That Fits Your Team

Get a Proposal Shaped to Your Needs

What Sets Edstellar Apart

Experienced Trainers

Proven Quality

Industry-Relevant Curriculum

Fully Customizable

Comprehensive Support

Global Multi-Location & Multilingual Training Delivery

Hear from Organizations We've Trained

Recognition That Motivates Your Team

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