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AI Workflow: AI in Production
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AI Workflow: AI in Production

This course is part of IBM AI Enterprise Workflow Specialization.

Course Cost

Free course

Advanced

Skill Level

15 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full IBM AI Enterprise Workflow Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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4.5

4,515 Enrolled

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What you'll learn

  • Deploy containerized ML applications using Docker and Kubernetes

  • Implement comprehensive model monitoring systems

  • Develop production-ready APIs for AI models

  • Utilize IBM Watson OpenScale for model management

  • Create effective feedback loops for model improvement

Skills you'll gain

Artificial Intelligence
Docker
Kubernetes
IBM Watson
Production Deployment
Model Monitoring
Unit Testing
Performance Analysis
Container Orchestration
API Development

This course includes:

0.7 Hours PreRecorded video

10 assignments, 1 peer review

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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Certificate
Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

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PROVIDED BY

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 4 modules in this course

This comprehensive course focuses on deploying AI models in production environments. Students learn to build APIs using Docker containers, manage deployments with Kubernetes, and monitor model performance using IBM Watson OpenScale. The curriculum covers feedback loops, unit testing, and production monitoring, culminating in a capstone project that integrates all aspects of the AI workflow.

Feedback loops and Monitoring

Module 1 · 4 Hours to complete

Hands on with Openscale and Kubernetes

Module 2 · 3 Hours to complete

Capstone: Pulling it all together (Part 1)

Module 3 · 3 Hours to complete

Capstone: Pulling it all together (Part 2)

Module 4 · 5 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: IBM AI Enterprise Workflow Specialization

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

AI Workflow: AI in Production

Advanced

Skill Level

15 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.