Political Science and International Relations
Training Course on Responsible Deployment of ML Models
Training Course on Responsible Deployment of ML Models: Ensuring Ethical and Secure Deployment Practices is meticulously designed to equip professionals with the critical knowledge and practical skills required for the responsible deployment of ML models.
📅 10 days
💰 Physical $3,000
Online $2,000
Model Governance
Ethical AI
Bias Detection
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Data Science
Training Course on A/B Testing and Experimentation for ML Models
Training Course on A/B Testing & Experimentation for ML Models: Designing and Analyzing Online Experiments equips participants with the statistical rigor, experimental design principles, and practical tools necessary to confidently launch, analyze, and iterate on ML model deployments, moving beyond offline metrics to live production validation.
📅 10 days
💰 Physical $3,000
Online $2,000
A/B Testing
Statistical Analysis
Python
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Data Science
Training Course on Cloud MLOps on GCP (Vertex AI Advanced)
Training Course on Cloud MLOps on GCP (Vertex AI Advanced): Deep Dive into GCP Services for MLOps provides a deep dive into Cloud MLOps on Google Cloud Platform (GCP), specifically leveraging Vertex AI Advanced capabilities. Participants will gain hands-on expertise in building, deploying, monitoring, and managing robust Machine Learning (ML) pipelines in a production environment.
📅 10 days
💰 Physical $3,000
Online $2,000
GCP Vertex AI
MLOps
Python
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Data Science
Training Course on Cloud MLOps on Azure (Azure ML Advanced)
Training Course on Cloud MLOps on Azure (Azure ML Advanced): Deep dive into Azure services for MLOps. is meticulously designed to equip professionals with the cutting-edge skills and best practices required to streamline the entire Machine Learning Lifecycle on Microsoft Azure.
📅 10 days
💰 Physical $3,000
Online $2,000
Azure ML
MLOps
Python
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Data Science
Training Course on Scalable ML Serving with Kubeflow/Sagemaker
Training Course on Scalable ML Serving with Kubeflow/Sagemaker: Deploying and Scaling Models in Cloud Environments focuses on empowering data scientists, ML engineers, and DevOps professionals with the essential skills to deploy and scale machine learning models efficiently in cloud environments.
📅 10 days
💰 Physical $3,000
Online $2,000
Kubeflow
SageMaker
MLOps
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Data Science
Training Course on Cloud MLOps on AWS (SageMaker Advanced)
Training Course on Cloud MLOps on AWS (SageMaker Advanced): Deep Dive into AWS Services for MLOps provides a comprehensive, hands-on deep dive into Cloud MLOps principles and practices, specifically leveraging advanced AWS services, with a strong focus on Amazon SageMaker
📅 10 days
💰 Physical $3,000
Online $2,000
AWS SageMaker
MLOps
Python
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Data Science
Training Course on Data Versioning and Experiment Tracking for ML
Training Course on Data Versioning & Experiment Tracking for ML: Tools like DVC, MLflow for Reproducible Research delves into the critical practices of data versioning and experiment tracking, empowering data scientists, ML engineers, and researchers to effectively manage their ML workflows.
📅 10 days
💰 Physical $3,000
Online $2,000
Data Versioning (DVC
MLflow)
Experiment Tracking
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Data Science
Training Course on MLOps for Real-time Inference
Training Course on MLOps for Real-time Inference: Optimizing Models for Low-Latency Predictions is meticulously designed to equip professionals with the cutting-edge skills and practical expertise needed to deploy, manage, and optimize machine learning models for low-latency predictions in production environments.
📅 10 days
💰 Physical $3,000
Online $2,000
MLOps
Real-Time ML Serving
Docker
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Data Science
Training Course on Feature Store Design and Implementation
Training Course on Feature Store Design & Implementation: Centralizing and Serving Features for ML Models outlines a comprehensive training course on Feature Store Design & Implementation, a critical component of modern MLOps.
📅 10 days
💰 Physical $3,000
Online $2,000
Feature Engineering
Feature Store (Feast
Tecton)
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Data Science
Training Course on Cost Optimization in MLOps
Training Course on Cost Optimization in MLOps: Managing cloud infrastructure and compute costs for ML workloads delves deep into the intersection of MLOps best practices and cloud financial management. Participants will gain actionable insights into identifying cost inefficiencies, implementing governance policies, and adopting a FinOps for ML mindset.
📅 10 days
💰 Physical $3,000
Online $2,000
MLOps
Cloud Platforms (AWS
Azure
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Engineering
Training Course on Satellite Communication Technologies
Training Course on Satellite Communication Technologies emphasizes the intricate challenges of signal propagation in space, earth station design, and multiple access techniques, equipping engineers and technicians with the essential knowledge to design, analyze, and operate satellite-based communication systems across diverse applications, from broadcasting and broadband internet to remote sensing and navigation.
📅 10 days
💰 Physical $3,000
Online $2,000
Satellite Communications
RF Systems
Link Budget Analysis
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Engineering
Training Course on Software-Defined Radio (SDR) and Cognitive Radio
Training Course on Software-Defined Radio (SDR) and Cognitive Radio delves into the architectural principles of SDR, emphasizing the migration of traditional hardware functions to reconfigurable software, and then extends into the realm of CR, where radios can intelligently sense, learn, and adapt to their environment.
📅 10 days
💰 Physical $3,000
Online $2,000
Software-Defined Radio
Cognitive Radio
RF Engineering
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