Data Science Courses
Comprehensive Data Science training programs for professionals
86 courses found • Page 6 of 8
5 days
Multiple Locations
Training Course on Large Language Models Deployment and Scaling Strategies
Training Course on LLM Deployment & Scaling Strategies: Productionizing Large Language Models is designed to equip machine learning engineers, data scientists, and AI architects with the essential skills to navigate the intricate landscape of enterprise LLM deployment.
Training Course on LLM Deployment & Scaling Strategies: Productionizing Large Language Models is designed to equip machine learning engineers, data scientists, and AI architects with the essential skills to navigate the intricate landscape of enterprise LLM deployment.
5 days
Multiple Locations
Training Course on Synthetic Data Generation using Generative Models
Training Course on Synthetic Data Generation using Generative Models: Creating Artificial Data for Privacy and Augmentation empowers data professionals to master the techniques of generating synthetic data.
Training Course on Synthetic Data Generation using Generative Models: Creating Artificial Data for Privacy and Augmentation empowers data professionals to master the techniques of generating synthetic data.
10 days
Multiple Locations
Training Course on Vector Databases and Embeddings for Semantic Search
Training Course on Vector Databases & Embeddings for Semantic Search: Optimizing Similarity Search for LLM Applications provides a comprehensive deep dive into Vector Databases and Embeddings, equipping participants with the essential skills to revolutionize Semantic Search and optimize Large Language Model (LLM) applications.
Training Course on Vector Databases & Embeddings for Semantic Search: Optimizing Similarity Search for LLM Applications provides a comprehensive deep dive into Vector Databases and Embeddings, equipping participants with the essential skills to revolutionize Semantic Search and optimize Large Language Model (LLM) applications.
10 days
Multiple Locations
Training Course on Evaluating and Benchmarking LLM Performance
Training Course on Evaluating & Benchmarking LLM Performance: Metrics and Methodologies for Assessing Generative Models delves into the critical metrics and methodologies essential for rigorously assessing generative models, ensuring optimal deployment and maximizing business value in real-world applications.
Training Course on Evaluating & Benchmarking LLM Performance: Metrics and Methodologies for Assessing Generative Models delves into the critical metrics and methodologies essential for rigorously assessing generative models, ensuring optimal deployment and maximizing business value in real-world applications.
Data Science
Skills
10 days
Multiple Locations
Training Course on Open-Source Large Language Modelss
Training Course on Open-Source LLMs: Deployment & Customization ? Working with Llama, Mistral, and Derivatives delves deep into the practical aspects of working with state-of-the-art open-source LLMs.
Training Course on Open-Source LLMs: Deployment & Customization ? Working with Llama, Mistral, and Derivatives delves deep into the practical aspects of working with state-of-the-art open-source LLMs.
10 days
Multiple Locations
Training Course on MLOps Fundamentals
Training Course on MLOps Fundamentals: From Experimentation to Production: Core principles of Machine Learning Operations. delves into the core principles, best practices, and cutting-edge tools that enable organizations to transition ML models from experimental prototypes to robust, scalable, and continuously monitored production systems.
Training Course on MLOps Fundamentals: From Experimentation to Production: Core principles of Machine Learning Operations. delves into the core principles, best practices, and cutting-edge tools that enable organizations to transition ML models from experimental prototypes to robust, scalable, and continuously monitored production systems.
10 days
Multiple Locations
Training Course on Productionizing Machine Learning Models with Docker and Kubernetes
Training Course on Productionizing Machine Learning Models with Docker & Kubernetes: Containerization and Orchestration for ML Deployment is meticulously designed to equip data scientists, machine learning engineers, and DevOps professionals with the essential skills and practical knowledge to seamlessly transition machine learning models from development to robust, scalable, and reproducible production environments.
Training Course on Productionizing Machine Learning Models with Docker & Kubernetes: Containerization and Orchestration for ML Deployment is meticulously designed to equip data scientists, machine learning engineers, and DevOps professionals with the essential skills and practical knowledge to seamlessly transition machine learning models from development to robust, scalable, and reproducible production environments.
10 days
Multiple Locations
Training Course on CI/CD for Machine Learning Pipelines
Training Course on CI/CD for Machine Learning Pipelines: Automating ML Workflow Integration and Delivery emphasizes a hands-on, practical approach to building automated ML pipelines, integrating best-in-class tools and methodologies.
Training Course on CI/CD for Machine Learning Pipelines: Automating ML Workflow Integration and Delivery emphasizes a hands-on, practical approach to building automated ML pipelines, integrating best-in-class tools and methodologies.
10 days
Multiple Locations
Training Course on Model Monitoring and Performance Drift Detection
Training Course on Model Monitoring & Performance Drift Detection: Tracking deployed model health and retraining triggers addresses the urgent need for professionals to master the techniques and tools required to effectively track deployed model health and implement retraining triggers.
Training Course on Model Monitoring & Performance Drift Detection: Tracking deployed model health and retraining triggers addresses the urgent need for professionals to master the techniques and tools required to effectively track deployed model health and implement retraining triggers.
10 days
Multiple Locations
Training Course on ML Model Governance and Versioning
Training Course on ML Model Governance & Versioning: Managing Model Lifecycle and Reproducibility delves into the crucial concepts of ML Model Governance and Versioning, equipping professionals with the essential skills to manage the entire model lifecycle effectively, from development and deployment to monitoring and retirement.
Training Course on ML Model Governance & Versioning: Managing Model Lifecycle and Reproducibility delves into the crucial concepts of ML Model Governance and Versioning, equipping professionals with the essential skills to manage the entire model lifecycle effectively, from development and deployment to monitoring and retirement.
5 days
Accra, Addis Ababa, Bangkok, Cape Town
Training Course on Foundations of Generative AI
Training Course on Foundations of Generative AI: Core Concepts, Architectures (GANs, VAEs, Diffusion Models) dives deep into the core concepts, architectures, and practical applications of leading generative models. Participants will gain a robust understanding of Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Diffusion Models, along with the foundational deep learning principles that underpin them.
Training Course on Foundations of Generative AI: Core Concepts, Architectures (GANs, VAEs, Diffusion Models) dives deep into the core concepts, architectures, and practical applications of leading generative models. Participants will gain a robust understanding of Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Diffusion Models, along with the foundational deep learning principles that underpin them.
Data Science
Skills
5 days
Multiple Locations
Training Course on Fine-Tuning and Customizing Pre-trained LLMs:
Training Course on Fine-Tuning & Customizing Pre-trained LLMs delves into the advanced techniques of Fine-Tuning and Customizing Pre-Trained Large Language Models (LLMs).
Training Course on Fine-Tuning & Customizing Pre-trained LLMs delves into the advanced techniques of Fine-Tuning and Customizing Pre-Trained Large Language Models (LLMs).