Model Deployment Courses and Certifications

Data Science Conference

Deploying Computer Vision Models at Scale DevOps-Free - Reducing Deployment Time and Costs

Discover how to efficiently deploy computer vision models at scale using AWS tooling and software engineering techniques to reduce deployment time and cut inference costs significantly.

• YouTube
• 22 minutes
• On-Demand
• Free Video

MLOps World: Machine Learning in Production

Deploying Generative AI Models - Best Practices and Interactive Example

Explore best practices for deploying generative AI models at scale, with an interactive example using UbiOps for serverless and cloud-agnostic implementation.

• YouTube
• 58 minutes
• On-Demand
• Free Video

MIT HAN Lab

LLM Deployment Techniques - Lecture 13

Dive into advanced LLM deployment strategies, covering optimization techniques, infrastructure scaling, and practical implementation methods for efficient large language model deployment in production environments.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

MIT HAN Lab

LLM Deployment Techniques - Lecture 13

Dive into advanced LLM deployment strategies, covering optimization techniques, infrastructure scaling, and practical implementation methods for efficient large language model deployment.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

MLOps World: Machine Learning in Production

A Zero Downtime Setup for Models: How and Why

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.

• YouTube
• 40 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Deploying Generative AI Models - Best Practices and Interactive Example

Explore best practices for deploying generative AI models at scale, with an interactive example using UbiOps for serverless and cloud-agnostic implementation.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Unify

Unify and Baseten - Boosting LLM Deployment

Supercharge LLM deployment by integrating Baseten model endpoints into Unify Platform. Learn dynamic routing, open-source model usage, and practical demonstrations for optimized AI workflows.

• YouTube
• 49 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Navigating LLM Deployment - Tips, Tricks and Techniques

Master essential strategies for optimizing and deploying self-hosted language models, covering best practices for monitoring, implementation, and maximizing value across industries like finance and healthcare.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Kaggle;  Amazon;  Amazon Web Services Microcredential

AWS Machine Learning Engineer Nanodegree

11 reviews

Master foundational ML skills, from supervised learning to deep learning. Deploy models to production environments and complete a capstone project in your chosen domain.

• Udacity
• 4 months 2 weeks 5 days 11 hours 36 minutes
• On-Demand
• Paid Course

AI in Healthcare Capstone

219 ratings at Coursera

Explore AI applications in healthcare through a patient's journey, analyzing data, building risk-stratification models, and addressing ethical and regulatory issues in medical data mining.

• Coursera
• 10 hours 35 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Tiny Machine Learning (TinyML)

Explore TinyML: machine learning for tiny devices. Learn fundamentals, applications, and deployment using TensorFlow. Hands-on projects with Arduino board for real-world implementations in image, audio, and gesture recognition.

• edX
• 16 weeks, 2-4 hours a week
• On-Demand
• $897.00
• 3 courses

Microcredential

AWS Machine Learning Engineer Nanodegree

41 ratings at Udacity

Equip developers with AWS SageMaker skills to build and deploy ML models in production. Learn data science, model design, and best practices for real-world applications.

• Udacity
• 4 months 2 weeks 5 days 11 hours 36 minutes
• On-Demand
• Paid Course

Building a Reproducible Model Workflow

Learn to build efficient, reproducible machine learning pipelines using MLflow, pytest, and Weights & Biases. Master data validation, experiment tracking, and model deployment for real-world ML projects.

• Udacity
• 4 weeks, 5-6 hours a week
• On-Demand
• Paid Course

Introduction to Machine Learning

Explore machine learning concepts and workflows using AWS SageMaker, from data analysis to model deployment. Learn to apply ML techniques, use advanced algorithms, and optimize models for real-world scenarios.

• Udacity
• 4 weeks, 4-5 hours a week
• On-Demand
• Paid Course

Modeling the Iris Dataset with TensorFlow

Master TensorFlow fundamentals through hands-on practice with the Iris dataset, covering data preprocessing, model building, performance evaluation, early stopping implementation, and model deployment techniques.

• CodeSignal
• On-Demand
• Free Certificate