Machine Learning Pipelines Courses and Certifications

Machine Learning with Apache Spark

114 ratings at Coursera

Unlock Apache Spark's potential for machine learning, covering fundamentals, supervised and unsupervised techniques, and Generative AI. Gain hands-on experience with Spark streaming, ML pipelines, and model evaluation.

• Coursera
• 15 hours 54 minutes
• On-Demand
• Paid Course

Microcredential

AI for Scientific Research

100 ratings at Coursera

Explore AI applications in scientific research, from data analysis to advanced techniques like neural networks and random forests, culminating in a COVID-19 drug discovery project.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 4 courses

Build an AWS Machine Learning Pipeline for Object Detection

99 ratings at Udemy

Use AWS Step Functions + Sagemaker to Build a Scalable Production Ready Machine Learning Pipeline for Plastic Detection

• Udemy
• 16 hours 31 minutes
• On-Demand
• Paid Course

H2O.ai

H2O Label Genie Starter Track

Master H2O Label Genie to accelerate data labeling workflows with AI-powered annotation tools for text, image, and audio data, reducing manual effort by over 50%.

• Coursera
• 1 hour 9 minutes
• On-Demand
• Paid Course

Orchestrating a TFX Pipeline with Airflow

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you'll learn to create your own machine learning pipelines using TensorFlow Extended (TFX) and Apache Airflow as the orchestrator.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Coursera

Advanced Data Science Techniques (with AWS Integration)

Master sophisticated ML models and AWS deployment through hands-on projects covering feature engineering, time series analysis, and cloud-based machine learning pipelines.

• Coursera
• 1 day 5 hours 29 minutes
• On-Demand
• Paid Course

Pragmatic AI Labs

MLOps Platforms: Amazon SageMaker and Azure ML

Elevate Your MLOps Game: Master AWS SageMaker and Azure ML for Production-Ready AI Solutions.

• edX
• 4 weeks, 3-6 hours a week
• On-Demand
• Free Online Course (Audit)

Coursera

Optimize LLM Costs & Streamline Processes

Discover how to reduce LLM costs through quantization and streamline ML workflows using Value-Stream Mapping for operational excellence in AI projects.

• Coursera
• 1 hour 47 minutes
• On-Demand
• Paid Course

Amazon Web Services;  Amazon

Lab - Orchestrate a Machine Learning Workflow using Amazon SageMaker Pipelines and SageMaker Model Registry (Simplified Chinese)

构建基于大型语言模型的聊天机器人，集成Amazon Kendra实现检索增强生成，回答AWS服务相关问题。掌握部署LLM、使用Langchain和Lex V2等技术。

• AWS Skill Builder
• 1 hour
• On-Demand
• Paid Course

Docker

How to Build Machine Learning Pipelines with Docker

Explore practical applications of Docker containers for rapid ML project prototyping, including face detection, sentiment analysis, and smart bot creation.

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

Databricks

Developing Scalable Machine Learning Pipelines for Gaming Industry

Explore scalable ML pipelines in gaming, leveraging Apache Spark for data-driven product development and improved user acquisition through advanced LTV modeling.

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

Databricks

Productionizing Machine Learning Pipelines with Databricks and Azure ML

Jumpstart ML projects with Databricks and Azure ML. Learn to build, track, and deploy production-ready pipelines using tools like MLflow, TensorFlow, and PyTorch for efficient, reproducible data science workflows.

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

Enabling Multi-user Machine Learning Workflows for Kubeflow Pipelines

Explore multi-user workflows for Kubeflow Pipelines using Kubernetes-native solutions. Learn how to implement access control, authentication, and authorization for machine learning platforms.

• YouTube
• 26 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Industrial Machine Learning Pipelines with Python & Airflow

Learn to build scalable, distributed machine learning data pipelines using Airflow with Celery backend. Gain insights on industry challenges, comparisons with other technologies, and practical knowledge for implementation.

• YouTube
• 28 minutes
• On-Demand
• Conference Talk

NDC Conferences

Scaling Machine Learning Pipelines in Cloud

Discover how Kubeflow simplifies machine learning pipelines, enabling scalable and portable deployments on diverse infrastructure. Learn to abstract non-ML tasks and focus on model development.

• YouTube
• 54 minutes
• On-Demand
• Conference Talk