Model Deployment Courses and Certifications

Credential

Enterprise Machine Learning with Amazon SageMaker

Master the complete ML lifecycle using Amazon SageMaker to build, train, deploy, and automate scalable machine learning solutions in AWS cloud environments.

• CodeSignal
• 12 hours
• Self-Paced
• Free Certificate
• 4 courses

Board Infinity

Real-World Applications & Model Deployment in Java

Master ML deployment in Java using Spring Boot, Jenkins, and GitHub Actions while exploring reinforcement learning and responsible AI practices for enterprise applications.

• Coursera
• 10 hours 33 minutes
• Self-Paced
• Paid Course

AI in Healthcare Capstone

313 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
• Self-Paced
• Paid Course

Credential

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/week
• Self-Paced
• $897.00
• 3 courses

LLM 推理优化与部署实战

掌握LLM推理优化与部署的核心技术，深入了解模型加速、量化压缩及高效部署策略，提升大语言模型的实际应用能力。

• XuetangX
• Self-Paced
• Free Online Course

Coursera

Machine Learning Pipelines with Azure ML Studio

831 ratings at Coursera

Build end-to-end machine learning pipeline in Azure ML Studio using Adult Income Census data to predict income levels. Train, evaluate, and deploy a Two-Class Boosted Decision Tree classifier as a web service.

• Coursera
• 1 hour 48 minutes
• Self-Paced
• Paid Course

AI for Python (Live Online)

686 ratings at CourseHorse

Gain a solid foundation in AI with this comprehensive Python course.

• CourseHorse
• 35 hours
• Self-Paced
• $1,895.00

Credential

Microsoft Azure Data Scientist Associate (DP-100) Exam Prep

618 ratings at Coursera

Comprehensive training for data scientists to build and operate machine learning solutions in Azure, covering resource management, experimentation, deployment, and responsible ML practices.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Operationalizing LLMs on Azure

51 ratings at Coursera

Explore Azure's AI services, deploy LLMs, optimize interactions, and build robust applications using Azure Machine Learning, OpenAI Service, and advanced techniques like RAG and Semantic Kernel.

• Coursera
• 10 hours 41 minutes
• Self-Paced
• Paid Course

Open Source LLMOps Solutions

26 ratings at Coursera

Gain hands-on experience deploying open-source LLMs, from understanding fundamentals to fine-tuning models and building AI applications using a code-first approach.

• Coursera
• 1 day 12 hours 14 minutes
• Self-Paced
• Paid Course

Advanced Model-Driven Apps with Power Apps: Configuration, Customization, and Deployment Techniques

Master advanced Power Apps techniques for building sophisticated model-driven applications, from configuring forms and dashboards to customizing command bars, embedding canvas apps, and implementing business process flows.

• Microsoft Learn
• 3 hours 55 minutes
• Self-Paced
• Free Online Course

Google Cloud Professional Data Engineer: Get Certified 2022

4626 ratings at Udemy

Build scalable, reliable data pipelines, databases, and machine learning applications.

• Udemy
• 6 hours 20 minutes
• Self-Paced
• Paid Course

Microsoft Azure Machine Learning

296 ratings at Coursera

Learn to create and deploy machine learning models using Azure's automated tools, without coding. Explore regression, classification, and clustering techniques for predictive analysis.

• Coursera
• 11 hours 23 minutes
• Self-Paced
• Paid Course

Foundations of AI and Machine Learning

260 ratings at Coursera

Master the fundamentals of AI/ML infrastructure, from data pipelines to deployment platforms. Learn to build robust systems, manage data effectively, select frameworks, and implement production-ready solutions.

• Coursera
• 1 day 11 hours 40 minutes
• Self-Paced
• Paid Course

Modern Artificial Intelligence Masterclass: Build 6 Projects

2697 ratings at Udemy

Harness the power of AI to solve practical, real-world problems in Finance, Tech, Art and Healthcare

• Udemy
• 15 hours 48 minutes
• Self-Paced
• Paid Course