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Duration

24 Hrs.

Experience & Certified

Trainers

Type of Batch

WeekEnd/WeekDay

Program Formate

Online

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Google Cloud Machine Learning Engineer Course Syllabus

Curriculum Designed by Experts

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This training focuses on building and deploying machine learning models using Google Cloud technologies. It covers data processing, model training, evaluation, and deployment using tools like Vertex AI and BigQuery. The course is aligned with the Google Professional Machine Learning Engineer certification, offering practical exposure and real-world scenarios to help learners develop scalable ML solutions and enhance their AI expertise.

  • Understanding business problems and objectives
  • Identifying opportunities for ML implementation
  • Mapping business needs to ML solutions
  • Stakeholder communication and requirement gathering
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  • Classification vs regression vs clustering
  • Problem framing techniques
  • Supervised vs unsupervised learning
  • Selecting appropriate ML approach
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  • Setting measurable KPIs and metrics
  • Aligning ML outcomes with business goals
  • Defining success thresholds
  • ROI and performance evaluation
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  • Data availability and quality issues
  • Ethical and bias considerations
  • Technical and infrastructure limitations
  • Cost and scalability risks
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  • ML system design principles
  • Scalability and fault tolerance
  • High availability architecture
  • Performance optimization strategies
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  • Overview of Compute Engine, GPUs, TPUs
  • Hardware selection based on workloads
  • Cost-performance optimization
  • Resource provisioning strategies
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  • Data security and encryption practices
  • Identity and access management (IAM)
  • Compliance standards (GDPR, HIPAA, etc.)
  • Secure ML pipelines and deployment
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  • Data visualization techniques
  • Identifying patterns and anomalies
  • Handling missing and inconsistent data
  • Statistical analysis for insights
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  • Data ingestion and transformation
  • ETL/ELT processes
  • Using BigQuery and Dataflow
  • Automation of data workflows
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  • Feature selection and extraction
  • Handling categorical and numerical data
  • Feature scaling and normalization
  • Feature transformation techniques
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  • Selecting ML algorithms
  • Model architecture design
  • Using TensorFlow and Scikit-learn
  • Baseline model creation
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  • Training strategies and workflows
  • Hyperparameter tuning
  • Handling overfitting and underfitting
  • Distributed training techniques
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  • Model validation techniques
  • Cross-validation methods
  • Performance evaluation metrics
  • Error analysis and improvement
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  • Distributed training on cloud
  • Model serving strategies
  • Auto-scaling and load balancing
  • Optimization for latency and throughput
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  • Pipeline automation with Vertex AI
  • Workflow orchestration
  • Reusable ML components
  • CI/CD integration for ML
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  • Real-time vs batch predictions
  • Deployment using Vertex AI endpoints
  • API-based model serving
  • Version control and rollback strategies
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  • Experiment tracking
  • Model versioning
  • Data lineage and governance
  • Audit trails for compliance
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  • Monitoring model performance
  • Detecting model drift
  • Logging and alerting systems
  • Troubleshooting deployment issues
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  • Performance optimization techniques
  • Cost vs efficiency trade-offs
  • Improving inference speed
  • Continuous model improvement strategies
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Google Cloud Professional Machine Learning Corporate Training in Riverside Certification

Multisoft Virtual Academy provides a globally recognized training certificate to the participants, after successful completion of a training program. The training certificates are recognized and accepted across the world.

Multisoft Virtual Academy's training certificate comes with lifetime validity.

Aspirants can directly enroll for the desired course from the Book Now Button in the course page. You can also connect on Whatsapp at +91 8130666206 to talk with a training advisor. Multisoft Virtual Academy also offers customized training programs on a wide range of domains and skills.

All training programs offered by Multisoft Virtual Academy are delivered by certified industry experts, who have years of experience in the relevant domains. Multisoft Global Subject Matter Experts impart knowledge on a wide variety of training courses through one –on-one and corporate training sessions.

Multisoft Virtual Academy training certification can help participants stand out in the competitive job market. Since the training certificates are internationally accepted, participants can showcase their skills and knowledge to employers across the world.

Multisoft Corporate Training Features

Outcome centric learning solutions to meet changing skill-demand of your organization

Wide variety of trainings to suit business skill demands

360° learning solution with lifetime access to e-learning materials

Choose topics, schedule and even a subject matter expert

Skilled professionals with relevant industry experience

Customized trainings to understand specific project requirements

Check performance progress and identify areas for development

Free Google Cloud Machine Learning Engineer Assessment

Right from the beginning of learning journey to the end and beyond, we offer continuous assessment feature to evaluate progress and performance of the workforce.

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