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#Model Deployment

Showing: 332 courses
Weights & Biases

Optimizing CI/CD Model Management and Evaluation Workflows with Weights & Biases

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Learn to enhance CI/CD pipelines for efficient deployment of top production models using Weights & Biases. Explore key concepts and benefits of effective CI/CD pipelines, implement W&B Registry as a central repository for models and datasets, and constru…
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1 Lesons
48 minutes
On-Demand
Free-Video
MLOps.community

GenAI in Production with MLflow

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Explore recent advancements in GenAI application lifecycle management with MLflow in this 20-minute talk by Ben Wilson, Tech Lead of the AI OSS Ecosystem team at Databricks. Discover supported integrations for GenAI application tracking, evaluation, depl…
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1 Lesons
20 minutes
On-Demand
Free-Video
Devoxx

Evaluating Open-Source Local LLMs: A Comparative Analysis with Proprietary Giants for Developer Applications

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Explore the world of open-source local large language models (LLMs) in this 40-minute conference talk from Devoxx. Dive into a comparative analysis between these models and proprietary giants, focusing on their performance, flexibility, and applicability…
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1 Lesons
40 minutes
On-Demand
Free-Video
Devoxx

Running Open Large Language Models in Production with Ollama and Serverless GPUs

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Explore the deployment of open large language models in production environments using Ollama and serverless GPUs. Learn why companies are increasingly interested in running open models like Gemma and Llama, which offer full control over deployment, model…
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1 Lesons
43 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

MLOps Platform Architecture for End-to-End ML Pipelines

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Explore Avast's MLOps journey, tooling, and cultural shift for enhanced ML productivity. Learn strategies for model tracking, storage, orchestration, and E2E deployments in large-scale ML pipelines.
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1 Lesons
42 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Keeping Up With ML Models in Production: Mitigating Performance Drift

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Learn strategies to mitigate ML model performance drift in production environments, incorporating non-technical collaborators and integrating ML into agile frameworks for long-term success.
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1 Lesons
33 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Train and Deploy Models Lightning Fast

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Accelerate AI innovation by mastering techniques for rapid model training and deployment, addressing scalability and security challenges in complex AI applications.
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1 Lesons
29 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Quick Deploy Model Serving in Ranking Systems

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Discover how to streamline model deployment in ranking systems using ElasticSearch plugins and MLeap bundles for efficient, error-free updates and seamless integration with existing infrastructure.
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1 Lesons
32 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Data and Machine Learning at League of Legends

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Explore unique data challenges in video games, focusing on model deployment and evolving ML stacks in League of Legends since 2009.
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1 Lesons
29 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Production ML Serving and Monitoring with Kubernetes

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Gain insights into building an MLOps deployment platform using Kubernetes, integrating key technologies for serving and monitoring complex deep learning models.
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1 Lesons
42 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Rapid Iteration and ML Model Deployment at Dropbox

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Discover rapid ML model iteration and deployment techniques used at Dropbox, reducing development time from weeks to under an hour.
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1 Lesons
29 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

ML Platform Beyond Kaggle Paradigm - Policy-Centric Approach for End-to-End Automation

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Explore a policy-centric approach to ML platforms, extending beyond model-centric views to enhance engineering productivity and directly improve business metrics.
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1 Lesons
24 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Introduction to Building ML Microservices - A Hands-On Approach with Music Industry Examples

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Build ML microservices using MLServer and Seldon Core. Learn to create inference graphs for A/B testing, shadow deployment, and model monitoring with music industry examples.
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1 Lesons
3 hours 19 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Closing the Production Gap with MLOps

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Explore MLOps strategies to accelerate deployment, monitor models, ensure governance, and manage the model lifecycle, including automated retraining and challenger models in production.
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1 Lesons
1 hour 25 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

MLOps at Acerta - Automating the Machine Learning Lifecycle for Manufacturing

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Automate the machine learning lifecycle for manufacturing, enhancing efficiency, scalability, and reproducibility. Learn to build a robust MLOps platform for production-grade systems.
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1 Lesons
34 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

MLOps with PyCaret - Practical Demo for Data Science Workflows

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Supercharge your data science team's productivity with PyCaret, an open-source ML library for efficient model preparation and deployment in Python.
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1 Lesons
1 hour 11 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Creating Machine Learning Retraining Pipelines with Kubeflow and Kubernetes

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Develop ML retraining pipelines using Kubernetes and Kubeflow. Master advanced techniques for efficient model updates and deployment in production environments.
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1 Lesons
2 hours 5 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

How to Iterate and Productionize Machine Learning Models with Speed

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Explore strategies to overcome deployment challenges and accelerate the productionization of machine learning models for faster impact.
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1 Lesons
34 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

From Concept to Production: Template for the Entire ML Journey - Part 1

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Develop a production-ready ML pipeline from concept to deployment using Python. Gain hands-on experience with data prep, model training, and deployment on Google Cloud Platform.
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1 Lesons
3 hours 47 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

MLOps with Dataiku - Considerations for Model Deployment and Monitoring

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Explore key MLOps concepts, deployment readiness, model monitoring strategies, and how Dataiku streamlines MLOps processes for efficient AI industrialization.
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1 Lesons
24 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

How Not to Let Your Data and Model Drift Away Silently

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Discover strategies to prevent data and model drift, ensuring ML models maintain performance and value over time in production environments.
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1 Lesons
40 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

MLOps vs ModelOps - Differences, Importance, and Best Practices

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Explore the differences between MLOps and ModelOps, focusing on continuous monitoring, automated remediation, and feedback loops for AI and analytical models in enterprise settings.
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1 Lesons
29 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Machine Learning Optimizations and Strategy for Post-Covid Era

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Explore ML risk mitigation techniques for post-pandemic model deployment, monitoring, and recalibration across industries, with focus on ethical practices and automated AI/ML solutions.
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1 Lesons
34 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

5 Governance Capabilities You Need in MLOps - Workshop Session

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Explore 5 essential MLOps governance capabilities to effectively implement and control machine learning models in production environments. Gain insights on assessing organizational maturity and achieving full MLOps maturity.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Complete ML Lifecycle with MLflow - Learn Its Four Components

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Explore MLflow's four components to simplify the machine learning lifecycle, from experimentation to production, enhancing reproducibility and accelerating development.
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1 Lesons
1 hour 29 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Learning from Extremes: What Fraud-Fighting at Scale Can Teach Us About MLOps Across Domains

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Explore how anti-fraud MLOps practices can simplify architectures, enhance observability, and boost agility across various ML domains.
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1 Lesons
29 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Low-latency Model Inference in Finance - A Close Look at Seldon V2

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Explore low-latency model inference in finance using Seldon V2, focusing on high resilience and rapid service response for critical business applications.
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1 Lesons
30 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Running Multiple Models on the Same GPU on Spot Instances

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Optimize ML inference costs through GPU fractionalization and Spot instances. Increase GenAI application throughput while reducing expenses.
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1 Lesons
33 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Beyond the Model Zoo - Optimizing Foundation Models for Your Application

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Optimize foundation models for specific applications, exploring techniques beyond pre-trained models to enhance performance and efficiency in machine learning projects.
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1 Lesons
31 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Deploying Generative AI Models - Best Practices and Interactive Example

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Explore best practices for deploying generative AI models at scale, with an interactive example using UbiOps for serverless and cloud-agnostic implementation.
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1 Lesons
58 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Deploy High Scale ML Models Without the Hustle

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Learn to build and operate production-grade ML systems, from model training to deployment and monitoring, using the Qwak platform for efficient, high-scale solutions.
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1 Lesons
33 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Deploying Model Artifacts in Hard Mode

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Automate and streamline complex model deployment processes across multiple products. Learn strategies for overcoming documentation gaps, ambiguous terminology, and legacy systems in a collaborative remote environment.
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1 Lesons
24 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Best Practices for Deploying MLOps Solutions in Enterprise

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Explore best practices for deploying MLOps solutions in enterprise environments. Learn from industry experts about common pitfalls, avoidance strategies, and early adoption techniques for model lifecycle management.
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1 Lesons
31 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Intro to MLOps: Build, Deploy, and Retrain a Model in Production

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Build, deploy, and retrain a production ML model using open-source tools. Learn robust MLOps pipeline techniques for quick model deployment and continuous improvement.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Automatic ML Model Containerization: Best Practices and Tools

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Explore best practices for containerizing ML models for production inference. Learn about secure, multi-tenant image builds, avoiding lock-in, and tools like chassis.ml and Open Model Interface for seamless integration.
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1 Lesons
1 hour 16 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

A Zero Downtime Setup for Models: How and Why

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Discover techniques for achieving zero-downtime model updates and handling failures in production environments. Learn a robust setup to ensure continuous availability and reliability of deployed models.
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1 Lesons
40 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Taking MLOps 0-60: How to Version Control, Unify Data and Manage Code Lifecycles

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Explore MLOps fundamentals, focusing on version control, data unification, and code lifecycle management for reliable and adaptable machine learning systems.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

MLOps is Just HPC in Disguise - A Real-World, No-Nonsense Guide to Upgrading Your Workflow

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Upgrade your ML workflow with efficient tools and techniques for automating tasks, managing resources, and streamlining production deployment in this practical guide to MLOps.
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1 Lesons
1 hour 27 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Generalizing Diversity - Machine Learning Operationalization for Pharma Research

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Explore ML operationalization in pharma research, addressing challenges of transitioning from one-off to repeated model usage in critical workflows. Learn strategies for leveraging MLOps platforms in enterprise settings.
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1 Lesons
30 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

MLOps with Dataiku - Considerations for Model Deployment and Monitoring

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Explore key MLOps concepts, deployment readiness, and model monitoring strategies. Learn how Dataiku streamlines MLOps processes for efficient AI industrialization.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Implementing SecMLOps at Every Stage of the ML Pipeline

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Implement SecMLOps at every stage of the ML pipeline to address security challenges, comply with data privacy laws, and ensure robust ML system architecture.
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17 Lesons
42 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Deploying and Managing Machine Learning Models at Scale - A Hands-On Workshop

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Deploy and manage ML models at scale. Hands-on workshop covers creation, deployment, monitoring, and management using real-life scenarios. Gain practical experience with Seldon Deploy, explainers, and outlier detection.
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1 Lesons
48 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Critical Use of MLOps in Finance Using Cloud-Managed ML Services That Scale

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Leverage MLOps to improve quality and consistency of machine learning solutions in finance. Accelerate model experimentation, deployment, and tracking using cloud-managed services for efficient scaling.
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1 Lesons
38 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

MLOps Beyond Training - Simplifying and Automating the Operational Pipeline

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Explore a production-first approach to MLOps, automating operational pipelines for measurable ROI. Learn to design continuous workflows, integrate components, and simplify the transition from research to scalable production.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Hands-on Workshop: Create Machine Learning Retraining Pipelines

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Develop ML retraining pipelines using Kubernetes and Kubeflow. Master advanced techniques for efficient model updates and deployment in production environments.
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1 Lesons
2 hours 22 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

UnionML: A Microframework for Building Machine Learning Applications

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Explore UnionML, a microframework simplifying ML application development. Learn to streamline the process from research to production, addressing common challenges in the ML lifecycle.
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1 Lesons
27 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

A Guide to Building a Continuous MLOps Stack with GCP and Superwise

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Dive into MLOps CI/CD pipeline automation with GCP and Superwise. Learn to build, deploy, and monitor continuous ML pipelines, focusing on automations and production-first insights for issue detection and resolution.
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19 Lesons
1 hour 20 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Introduction to Model Deployment with Ray Serve

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Learn to deploy ML models using Ray Serve. Explore Ray Core APIs, create scalable architectures, and integrate with MLflow and FastAPI. Gain hands-on experience in distributed computing and model deployment.
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1 Lesons
1 hour 11 minutes
On-Demand
Free-Video
Cloudera

Cloudera How To Videos

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Comprehensive video series covering Cloudera's data platform, including security, governance, analytics, deployment, and management topics for enterprise-level data solutions.
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33 Lesons
2 hours 30 minutes
On-Demand
Free-Video
Great Learning

Flask Python

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Learn to deploy machine learning models using Flask, a Python web framework. Explore Flask's capabilities, advantages, and applications in this comprehensive tutorial.
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9 Lesons
1 hour 3 minutes
On-Demand
Free-Video

Amazon SageMaker

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Learn to build, train, and deploy ML models using AWS SageMaker, covering notebook instances, S3 buckets, XGBoost algorithm, and endpoint predictions.
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7 Lesons
1 hour 30 minutes
On-Demand
Free-Video
Microsoft

Azure Percept - AI IoT Edge Made Easy - Part 1

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Explore Azure Percept DK for IoT edge AI: hardware overview, model building, and deployment demos. Hands-on tutorials for object detection and bird classification using Azure Percept Studio.
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7 Lesons
2 hours 1 minute
On-Demand
Free-Video
Microsoft

Understanding the Machine Learning Process and Embedding Models into Apps

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Learn to build ML models with Azure ML and VS Code, operationalize them in apps, and implement MLOps practices. Covers PyTorch Lightning, model prediction, and integration with DevOps and Kubernetes.
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12 Lesons
30 minutes
On-Demand
Free-Video
Microsoft

Get Started with PyTorch

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Explore PyTorch's fundamentals, from data handling to model building and deployment. Learn about its unique features, strong community, and ecosystem for effective deep learning development.
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7 Lesons
34 minutes
On-Demand
Free-Video
Microsoft

High-Level Introduction to MLOps - AI Show Episode 33

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Microsoft data scientists discuss MLOps challenges, principles, and best practices, offering insights on successful implementation and tips for overcoming common obstacles in AI projects.
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13 Lesons
34 minutes
On-Demand
Free-Video
Microsoft

Hugging Face on Azure - Partnership and Solutions Announcement

0 rewiews
Explore Hugging Face's integration with Azure, featuring state-of-the-art ML models, enterprise capabilities, and open-source collaboration for responsible machine learning.
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17 Lesons
37 minutes
On-Demand
Free-Video
Augmented Startups

YOLO V3 - Robust Deep Learning Object Detection Tutorials

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Learn to implement YOLO v3 for robust object detection, from web scraping and dataset annotation to model training and deployment, using OpenCV and Python.
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11 Lesons
1 hour 30 minutes
On-Demand
Free-Video
Amazon Web Services

Amazon SageMaker Technical Deep Dive Series

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Comprehensive deep dive into Amazon SageMaker, covering notebook instances, algorithms, custom models, training, deployment, tuning, and advanced features for efficient machine learning workflows.
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16 Lesons
4 hours 30 minutes
On-Demand
Free-Video
Data Professor

R Data Science Project

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Learn practical R data science skills through hands-on tutorials covering exploratory analysis, machine learning, data visualization, and building interactive web applications with Shiny.
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16 Lesons
3 hours 30 minutes
On-Demand
Free-Video
Krish Naik

End to End Machine Learning Project Implementation with Dockers, GitHub Actions and Deployment

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Comprehensive guide to implementing a machine learning project, covering data analysis, model training, web application development, and deployment using Docker and GitHub Actions.
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17 Lesons
2 hours 45 minutes
On-Demand
Free-Video
Data Science Dojo

MLOps Crash Course for Beginners

0 rewiews
Learn to create and deploy reproducible MLOps pipelines, covering key concepts like continuous training, drift detection, and model deployment for real-world data science value beyond Jupyter notebooks.
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8 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Anyscale

Streamlining AI Workflows with Apache Airflow and Ray

0 rewiews
Discover how to build a unified AI infrastructure by integrating Apache Airflow and Ray for seamless orchestration of data processing, model training, and inference workflows, including LLM fine-tuning and LoRA deployments.
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1 Lesons
21 minutes
On-Demand
Free-Video
Anyscale

Building Intelligent AI Infrastructure with ORI - Dynamic Query Routing and Model Management

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Discover how ORI dynamically routes AI queries to optimal language models, featuring chain atomic queries, benchmark matching, and ethical frameworks integrated with Ray Serve and vLLM for high-speed inference.
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1 Lesons
22 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Pre-training and Fine-tuning of Code Generation Models

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探索代码生成模型的构建过程，包括StarCoder的训练、负责任的AI实践，以及如何利用开源库来部署和使用这些强大的模型。
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1 Lesons
15 minutes
On-Demand
Free-Video
The Machine Learning Engineer

ML and MLOps with Databricks: LLMOps, MLFlow, Transformers, and Databricks - Spanish

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Aprende LLMOps con MLFlow y Databricks: implementa y gestiona modelos de lenguaje a gran escala utilizando herramientas de vanguardia en español.
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1 Lesons
52 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOps: Personalizar ViT Classifier con tu Propia Data y Docker Inference

0 rewiews
Personaliza un Vision Transformer con tu dataset, crea un docker y un punto de inferencia con FastAPI para clasificación de imágenes.
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1 Lesons
40 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Vertex AI: Desplegar Llama3 8B a un Punto de Inferencia desde Model Garden

0 rewiews
Explora el Model Garden de Vertex AI y despliega Llama3 8B para inferencia, consumiendo el endpoint con Python SDK.
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1 Lesons
31 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Introducción a Azure Machine Learning Studio

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Explora Azure Machine Learning Studio, el servicio en la nube de Microsoft para proyectos de aprendizaje automático. Descubre cómo respalda el ciclo de vida completo del desarrollo de modelos.
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1 Lesons
1 hour 30 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MlOps Mlflow: Trabajar con HuggingFace Transformers en Mlflow - Español

0 rewiews
Aprende a integrar HuggingFace Transformers con MLflow para optimizar el desarrollo y despliegue de modelos de lenguaje avanzados.
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1 Lesons
37 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOPS: Inferencia de Modelo ONNX en Azure ML Managed Endpoint AKS

0 rewiews
Aprende a realizar inferencia en Azure Kubernetes Services utilizando un modelo ONNX y onnxruntime, creando un Managed Endpoint con Python SDK v2.
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1 Lesons
51 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOPS: Cómo Trabajar con el CLI de Hugging Face Hub - Español

0 rewiews
Aprende a instalar y utilizar el CLI de Huggingface Hub para gestionar modelos y datasets de manera eficiente en proyectos de aprendizaje automático.
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1 Lesons
31 minutes
On-Demand
Free-Video
Android Makers

Embarquer votre modèle de machine learning dans votre app

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Découvrez comment intégrer un modèle de machine learning dans une application mobile, gérer le téléchargement des données, et comparer les performances avec un processus côté serveur.
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1 Lesons
15 minutes
On-Demand
Free-Video
Prodramp

Deep Learning Workshop for Satellite Imagery - Training & Prediction

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Hands-on deep learning workshop for satellite imagery, covering model training, debugging, prediction, and advanced techniques like custom metrics, heatmaps, and model deployment.
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20 Lesons
1 hour 33 minutes
On-Demand
Free-Video
Prodramp

Deep Learning Workshop for Satellite Imagery - Data Processing

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Hands-on workshop on data processing for satellite imagery, covering fundamentals, Python processing, image manipulation, and preparation of training data for deep learning applications.
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13 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Conf42

DevSecOps for AI: Introducing MLSecOps for Software 2.0

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Explore MLSecOps for AI-driven software development, addressing security challenges and best practices in the evolving landscape of Software 2.0.
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2 Lesons
42 minutes
On-Demand
Free-Video
tinyML

Amber - A Complete, ML-Based, Anomaly Detection Pipeline for Microcontrollers

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Discover a complete ML-based anomaly detection pipeline for microcontrollers, featuring real-time sensor value processing, automatic hyperparameter tuning, and high-speed inference capabilities.
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13 Lesons
38 minutes
On-Demand
Free-Video
Open Data Science

Kubeflow and Beyond - Automation of Model Training, Deployment and Testing

0 rewiews
Automate ML workflow: data gathering, model training, deployment, testing, and production inferencing with a single command. Streamline the process for efficient continuous delivery.
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24 Lesons
50 minutes
On-Demand
Free-Video
Prodramp

Machine Learning with DataRobot AI Cloud Platform

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Comprehensive tutorial on DataRobot AI Cloud Platform, covering machine learning model building, evaluation, and deployment. Explores key features like AutoML, bias detection, and model optimization.
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32 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Prodramp

An AI Engineer Guide to Comet Model Registry Platform

0 rewiews
Learn to use Comet's Model Registry for logging, versioning, and deploying machine learning models. Explore key features like model export, registration, and monitoring in this hands-on tutorial using Keras and TensorFlow.
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21 Lesons
32 minutes
On-Demand
Free-Video
Prodramp

A Very First Look at H2O Hydrogen Torch

0 rewiews
Explore H2O Hydrogen Torch: a no-code deep learning tool for diverse AI tasks. Learn its capabilities, experiment as novice and expert, and understand prediction pipelines and deployment options.
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14 Lesons
35 minutes
On-Demand
Free-Video
Databricks

MLflow Model Serving - From Training to Production

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Comprehensive overview of MLflow Model Serving, covering offline and online scoring, deployment options, and integration with Databricks, with practical examples and recent features.
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31 Lesons
37 minutes
On-Demand
Free-Video
Databricks

Developing Scalable Machine Learning Pipelines for Gaming Industry

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Explore scalable ML pipelines in gaming, leveraging Apache Spark for data-driven product development and improved user acquisition through advanced LTV modeling.
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23 Lesons
29 minutes
On-Demand
Free-Video
Databricks

Building an MLOps Platform with MLflow for Rapid Model Productionalization

0 rewiews
Discover how DataSentics built an MLOps platform around MLflow to streamline model productionalization, reducing deployment time to minutes. Learn about real-life experiences, platform demo, and lessons learned.
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10 Lesons
30 minutes
On-Demand
Free-Video
Databricks

Enable Production ML with Databricks Feature Store

0 rewiews
Simplify production ML with Databricks Feature Store. Learn to overcome data challenges, enable real-time inference, and streamline ML projects using a unified data lakehouse platform integrated with Apache Spark and MLflow.
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14 Lesons
33 minutes
On-Demand
Free-Video
Databricks

Managing the Complete Machine Learning Lifecycle with MLflow - Introduction to MLflow Tracking

0 rewiews
Introduction to MLflow: tracking experiments, packaging projects, deploying models, and managing lifecycle. Learn to record, reproduce, and compare ML runs using MLflow's components and UI.
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17 Lesons
58 minutes
On-Demand
Free-Video
Databricks

State of the Industry - Machine Learning Platforms and MLOps

0 rewiews
Explore the state of MLOps and ML platforms with industry leaders, focusing on challenges, common components, and Databricks' approach to unified data analytics and machine learning.
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16 Lesons
24 minutes
On-Demand
Free-Video
Databricks

Low-Code Machine Learning on Databricks with AutoML

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Discover how to build, train, and deploy ML models using Databricks AutoML and low-code tools, empowering users of all expertise levels to create predictive analytics solutions.
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17 Lesons
34 minutes
On-Demand
Free-Video
Databricks

Productionizing Machine Learning with Apache Spark, MLflow and ONNX - Cloud Deployment Using SQL Server

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Explore productionizing machine learning using Apache Spark, MLflow, and ONNX with SQL Server. Learn model management, lifecycle orchestration, and leveraging SQL Server for ML model storage and deployment.
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5 Lesons
26 minutes
On-Demand
Free-Video
Great Learning

Amazon SageMaker Tutorial - How to Use Amazon SageMaker for Machine Learning

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Learn to build, train, and deploy machine learning models using Amazon SageMaker. Explore its architecture, features, and hands-on implementation for streamlined ML development and production.
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1 Lesons
1 hour 17 minutes
On-Demand
Free-Video
Nicholas Renotte

Building an AutoML Web App with Python, Pandas Profiling, PyCaret, and Streamlit

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Build an AutoML web app using Python, Pandas Profiling, PyCaret, and Streamlit in this hands-on tutorial. Learn to create a powerful machine learning tool quickly and efficiently.
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1 Lesons
24 minutes
On-Demand
Free-Video
Linux Foundation

Introducing Kubeflow for Machine Learning and AI on Kubernetes

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Explore Kubeflow for seamless machine learning model deployment, from laptop to production. Learn about its components, scalability benefits, and integration with tools like TensorFlow and Apache Spark.
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20 Lesons
21 minutes
On-Demand
Free-Video
Docker

Deploy a Customer Churn Prediction Model with Streamlit and Docker

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Learn to build and deploy a customer churn prediction model using Streamlit and Docker. Discover how to package machine learning models into interactive applications for effective customer retention strategies.
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1 Lesons
28 minutes
On-Demand
Free-Video
Data Science Dojo

Building Data Science Products - Think Business First

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Learn to approach data science projects from a business perspective, focusing on key questions and considerations before diving into tools and techniques.
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21 Lesons
31 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

DevOps in Data Science - What Works and What Doesn't

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Explore challenges and solutions in implementing DevOps for data science projects, focusing on balancing ML engineers' needs with data scientists' desire for simplicity using Kubeflow and other tools.
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1 Lesons
22 minutes
On-Demand
Free-Video
Ubuntu OnAir

Move Data Science Beyond Experimentation with MLOps Platforms

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Explore MLOps platforms to streamline data science workflows, automate tasks, and enhance collaboration. Learn best practices for efficient AI project delivery using real-world datasets.
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1 Lesons
1 hour 25 minutes
On-Demand
Free-Video
Linux Foundation

Simplify End-to-End MLOps with PostgresML

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Discover how SQL and PostgresML simplify MLOps workflows, streamlining AI/ML project management from development to deployment and monitoring in production environments.
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1 Lesons
32 minutes
On-Demand
Free-Video
Linux Foundation

Bringing CI/CD Practices to Machine Learning with MLOps

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Learn how to apply CI/CD practices to machine learning pipelines, enhancing model development from data exploration to deployment for better, faster results in MLOps.
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1 Lesons
20 minutes
On-Demand
Free-Video
Linux Foundation

Deploying ML at Scale with Kubernetes and TFX

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Learn to deploy machine learning models at scale using Kubernetes and TensorFlow Extended (TFX), enhancing your ability to manage and scale ML workflows efficiently.
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1 Lesons
42 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Improving Productivity for Building ML Workloads Using Amazon SageMaker Autopilot

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Automate ML model training and tuning for customer churn prediction using Amazon SageMaker Autopilot, with deployment and iteration in SageMaker Studio.
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1 Lesons
19 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

The Missing Piece of MLOps: Observability in Machine Learning Applications

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Explore ML observability's role in MLOps, learn to prepare for it, and discover how it showcases business value and recognizes data scientists' work.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video