Data Science
Training Course on Privacy-Preserving Machine Learning
Training Course on Privacy-Preserving Machine Learning delves into the cutting-edge methodologies that enable organizations to unlock the full potential of their data for advanced analytics and AI model development, all while ensuring the confidentiality, security, and ethical handling of sensitive information.
📅 5 days
💰 $1,100
Privacy-Preserving ML
Differential Privacy
Federated Learning
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Data Science
Training Course on AI Ethics and Responsible Development
Training Course on AI Ethics & Responsible Development dives deep into the core principles of fairness, accountability, and transparency (FAT), equipping participants with the knowledge and practical tools to build trustworthy, equitable, and human-centric AI solutions
📅 5 days
💰 $1,100
Ethical AI
Bias Mitigation
Governance
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Data Science
Training Course on Reinforcement Learning for Decision Making
Training Course on Reinforcement Learning for Decision Making provides a comprehensive deep dive into Reinforcement Learning (RL), a cutting-edge paradigm revolutionizing AI-driven decision-making in dynamic and uncertain environments.
📅 10 days
💰 $2,200
Reinforcement Learning
Python
ML Frameworks (TensorFlow
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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
💰 $2,200
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
💰 $2,200
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
💰 $2,200
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
💰 $2,200
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
💰 $2,200
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
💰 $2,200
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
💰 $2,200
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
💰 $2,200
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
💰 $2,200
MLOps
Cloud Platforms (AWS
Azure
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