Google Professional Machine Learning Engineer Training & Certification Course in Pune

Google Professional Machine Learning Engineer (GCP-PMLE) Course

Course Overview

Join our Google Professional Machine Learning Engineer course at DevOps Training Institute in Pune, located in Kharadi, the heart of Pune’s IT hub. This program is designed to prepare you for the Google Professional Machine Learning Engineer (GCP-PMLE) certification exam and master designing, building, and deploying ML models on Google Cloud.

Through hands-on labs, such as developing ML models, optimizing data pipelines, and deploying AI solutions, and partnerships with leading companies like TCS and Infosys, our course prepares you for high-demand roles in just 75 days. Earn the GCP-PMLE certification and benefit from our 100% placement support.

What You'll Learn

• Designing ML architectures on Google Cloud.
• Building and training ML models with TensorFlow and Vertex AI.
• Optimizing data pipelines with Dataflow and BigQuery.
• Deploying and monitoring ML models in production.
• Ensuring scalability and reliability of ML systems.
• Implementing MLOps best practices.

Requirements

• A laptop with at least 8GB RAM.
• Basic knowledge of machine learning and programming (e.g., Python).
• Familiarity with cloud computing is a plus.

Course Curriculum

Our Google Professional Machine Learning Engineer course in Pune offers a comprehensive curriculum aligned with the official GCP-PMLE exam guide, covering ML model development, deployment, and optimization. Designed for ML professionals, it includes hands-on labs to prepare for the certification exam.

Google Cloud Professional Machine Learning Engineer Exam Details

Your Path to Google Cloud Professional Machine Learning Engineer Certification

DevOps Training Institute offers specialized training for the Google Cloud Professional Machine Learning Engineer exam, a prestigious certification for professionals aiming to demonstrate expertise in designing, building, and deploying machine learning models on Google Cloud Platform (GCP). Tailored for data scientists and ML engineers, our program prepares you to excel in this exam and attract top employers like TCS, Wipro, and Infosys.

With hands-on labs, expert-led instruction, and comprehensive exam preparation, we help you achieve your Google Cloud certification in just 60 days. Our training is available in both classroom and online formats, featuring an advanced curriculum focused on machine learning workflows, model optimization, and GCP AI services.

Recently Certified Candidates

Exam Overview

Passing Criteria

• Score Requirement: A minimum score of approximately 70% is required to pass the Google Cloud Professional Machine Learning Engineer exam (exact score not publicly disclosed).
• Result Notification: Exam results are typically available immediately after completion via your Google Cloud Certification account.
• Detailed Scorecard: Provides overall performance and a breakdown of scores across domains to highlight strengths and areas for improvement.
• Instant Access: Access your digital certificate and badge upon passing, available through the Google Cloud Certification account.
• Preparation Support: Our training includes advanced practice exams, hands-on labs, and ML-focused exercises to ensure exam readiness.

Google Cloud Professional Machine Learning Engineer Related Real-Time Projects

Hands-On Learning for Machine Learning Mastery

Our Google Cloud Professional Machine Learning Engineer training includes real-world projects designed to prepare you for the Professional Machine Learning Engineer exam and high-demand ML roles in the IT industry. These projects simulate complex machine learning scenarios on Google Cloud, helping you master model development, deployment, and optimization.

Guided by expert instructors with over 12 years of experience, our hands-on labs ensure you build a robust portfolio to impress employers like TCS, Wipro, and Infosys. Available in both classroom and online modes, our projects are customizable to align with your professional or academic requirements.

Google Cloud Professional Machine Learning Engineer Classroom/Online Project List

• Image Classification Model: Build and deploy an image classification model using Vertex AI and AutoML Vision.
• Natural Language Processing: Develop a sentiment analysis model using Cloud Natural Language API and Vertex AI.
• Time Series Forecasting: Create a time series forecasting model for demand prediction using BigQuery ML and Vertex AI.
• Model Optimization: Optimize a machine learning model for low latency using Vertex AI Model Monitoring and hyperparameter tuning.
• Recommendation System: Implement a recommendation system using TensorFlow and Vertex AI Recommendations.
• Data Pipeline Automation: Build an automated data pipeline for ML training using Cloud Composer and Dataflow.
• Model Deployment: Deploy a scalable ML model with Vertex AI Endpoints and integrate it with a web application.
• Anomaly Detection System: Create an anomaly detection system using BigQuery ML and Cloud Monitoring.
• Custom Training Pipeline: Design a custom ML training pipeline with Kubeflow on Google Cloud.
• Explainable AI Integration: Implement explainable AI features for model predictions using Vertex Explainable AI.

Note: We offer customized project support to meet specific professional or academic requirements, ensuring alignment with your career goals.

Career Benefits of Google Professional Machine Learning Engineer Training

Why Learn Google Professional Machine Learning Engineer?

The Google Professional Machine Learning Engineer certification is a globally recognized credential, enabling professionals to design and deploy scalable ML models on Google Cloud. Our course at DevOps Training Institute in Pune equips you to excel in high-demand ML roles in Pune’s competitive market.

With hands-on labs and placement support, you’ll build a portfolio that impresses employers like TCS, Cognizant, and global MNCs, ensuring a rewarding career in 75 days.

Key Benefits

• High Demand: ML engineers are critical for AI-driven solutions.
• Lucrative Salaries: Earn ₹10L–₹25L annually in roles like ML Engineer.
• Versatile Roles: Work as an ML Engineer, Data Scientist, or AI Specialist.
• Global Opportunities: GCP-PMLE certification is valued worldwide.
• Future-Proof: Stay relevant with expertise in ML and cloud technologies.

Google Professional Machine Learning Engineer Job Roles and Salaries in Pune

Career Opportunities

Our Google Professional Machine Learning Engineer course prepares you for high-demand ML roles in Pune’s thriving tech hub. Below are key job profiles, responsibilities, and salary ranges for ML engineers in Pune.

Key Notes

• Salaries vary based on experience, company size, and project scope.
• Pune’s IT hub offers competitive pay for ML engineers.
• GCP-PMLE certification boosts earning potential and job prospects.

Why Choose Our Google Professional Machine Learning Engineer Training in Pune?

Your Path to Success

DevOps Training Institute in Pune offers a transformative Google Professional Machine Learning Engineer course, equipping you with skills to design and deploy scalable ML models. Tailored for Pune’s IT market, our training ensures you stand out to employers like TCS, Cognizant, and Infosys.

With practical labs and career support, we help you achieve your machine learning goals in just 75 days, backed by our Kharadi-based facility and expert instructors.

Why Us?

• Expert Instructors: Learn from certified professionals with 10+ years of experience.
• Hands-On Labs: Build and deploy ML models with real-world applications.
• Placement Support: 100% assistance with resume building and interviews.
• Flexible Learning: Online and classroom options for Pune and Maharashtra learners.
• Industry Certifications: Earn GCP-PMLE and other cloud credentials.

Google Professional Machine Learning Engineer Training Modes in Pune

Flexible Learning Paths

Our Google Professional Machine Learning Engineer course offers multiple training modes to suit your needs, whether you’re a professional in Kharadi or elsewhere in Maharashtra. Learn at our advanced facility in Pune or join live online sessions from anywhere.

Each mode includes hands-on labs and placement support, ensuring you’re ready for Pune’s competitive IT job market.

Training Modes

• Classroom Training: In-person classes at our Kharadi, Pune center for hands-on learning.
• Online Training: Live, interactive sessions for learners in Pune, Mumbai, and beyond.
• Corporate Training: Tailored programs for teams in Pune’s IT companies.

Local Benefits

• Located in Kharadi, accessible for Pune and nearby areas like Hadapsar.
• Industry connections with Pune-based firms for internships and jobs.
• Flexible schedules for working professionals in Maharashtra.