---
格式版本: 2
标题: "Re: Announcing the Intel® Certified Developer - MLOps Professional Curriculum"
原文链接: "https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Announcing-the-Intel-Certified-Developer-MLOps-Professional/post/1755408#M1221"
发布日期: "2026-08-02"
发布时间校准状态: "found"
发布时间需复核: "否"
发布时间来源: "rule:scrape:provider_published_at"
发布时间证据: "provider publishedAt: 2026-08-02"
发布时间校准原因: "规则确认唯一严格发布时间，来源 scrape:provider_published_at"
发布时间校准置信度: "high"
发布时间候选数量: 3
发布时间严格候选数量: 1
发布时间原页读取状态: "source template page reused from URL open"
发布时间未找到原因: ""
发布时间校准时间: "2026-08-10T16:02:46+08:00"
发布时间仲裁状态: "skipped"
发布时间仲裁尝试次数: 0
发布时间仲裁耗时毫秒: 0
发现时间: "2026-08-10T15:56:26+08:00"
入库时间: "2026-08-10T08:02:46.696Z"
来源平台: "固定入口"
搜索渠道: "fixed_url"
搜索词: "https://community.intel.com/t5/Blogs/ct-p/blogs"
匹配关键词:
  - "GPU"
  - "performance"
相关厂家:
  - "Intel"
  - "Microsoft"
  - "Google"
相关专家:
  []
内容类型: "网页"
抓取工具: "Jina Reader"
清洗工具: "Jina Reader Markdown + Defuddle/Readability 正文提取"
原始附件:
  []
AI优质: "否"
AI打分: 0
AI分档: "非优质"
AI质检状态: "不通过"
AI打分理由: "资料为Intel MLOps认证课程介绍，与超节点/AI Rack/机柜级AI基础设施完全无关，属于低价值内容。"
AI质检模型: "deepseek-v4-flash"
AI质检时间: "2026-08-10T16:03:15+08:00"
AI主题相关性: 0
AI来源权威性: 0
AI新颖性: 0
AI技术细节: 0
AI商业部署信号: 0
AI完整性: 0
采集批次: "2026年8月10日15点37分56秒"
采集批次ID: "20260810-153756-703"
去重键: "https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Announcing-the-Intel-Certified-Developer-MLOps-Professional/post/1755408"
---

Title: Re: Announcing the Intel® Certified Developer - MLOps Professional Curriculum

URL Source: https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Announcing-the-Intel-Certified-Developer-MLOps-Professional/post/1755408

Published Time: 2026-08-02T09:50:03.302Z

Markdown Content:
hidden text to trigger **early**_load_ of fonts Продукция**Продукция**_Продукция_ Продукция Các sản phẩm**Các sản phẩm**_Các sản phẩm_ Các sản phẩm المنتجات**المنتجات**_المنتجات_ المنتجات מוצרים**מוצרים**_מוצרים_ מוצרים

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![Image 2: Announcing the Intel® Certified Developer - MLOps Professional Curriculum](https://community.intel.com/t5/image/serverpage/image-id/45586i1571FF15E31EEA73/image-size/large?v=v2&px=999&whitelist-exif-data=Orientation%2CResolution%2COriginalDefaultFinalSize%2CCopyright)

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[Jack_Erickson](https://community.intel.com/t5/user/viewprofilepage/user-id/234730)

 Employee 

‎09-20-2023 08:00 AM

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We are happy to announce a new developer training and certification program: **[Intel® Certified Developer - MLOps Professional](https://www.intel.com/content/www/us/en/developer/certification/mlops.html)**.

As we have worked with developers to deploy AI projects into production and add AI to existing applications, we have heard the need for more expertise in applying development operations (DevOps) practices to machine learning and AI applications. Machine learning operations (MLOps) is a focus within broader DevOps that requires the ability to optimize across the hardware-software stack to meet the compute demands of AI and the application's requirements. Here are a few more details on this program.

### What is the Intel® Certified Developer - MLOps Professional offering?

This is a self-paced curriculum with video lessons and hands-on labs that utilize the Intel® Developer Cloud to build the MLOps Professional skillset. The MLOps Professional training package is designed to prepare you for the professional certification exam, proctored and offered by Pearson VUE*.

### Who should take this course?

Whether you are an AI developer looking to deploy and productize your application or an experienced DevOps engineer looking to add AI/ML to existing applications, or if you are new to both and hoping to uplevel your career options, this course material will benefit you. Designed to be self-paced, you can navigate through the sections most relevant to the skills you are looking to build and skip past any sections you have already mastered.

### What is included?

There are 7 self-paced modules that include 26 video lessons and 8 hands-on labs. Once you have completed the self-paced sections, there is a live workshop where you can build a capstone project to showcase your differentiated skillset to future employers. The training package also includes a Q&A session with Intel experts and 1 practice certification exam – all designed to prepare you for the professional certification exam.

### What topics are covered?

The topics include DevOps concepts such as software solution architectures, APIs, and endpoint design. The AI-specific topics include the principles of MLOps, building end-to-end pipelines, optimizing the full hardware-software stack, and designing cloud-native AI applications. See the **[full course module details](https://www.intel.com/content/www/us/en/developer/certification/mlops.html#faqs_copy)**.

### Why is Intel offering this course?

Intel is committed to helping developers grow their skills and careers. We have identified a large skills gap in MLOps, which is impacting many companies’ ability to get the most out of their available hardware when developing and deploying AI applications. We have captured our experience in this area from our internal and customer projects and are sharing those industry best practices.

### Who is the instructor?

Eduardo Alvarez is a Senior AI Solutions Engineer at Intel, specializing in architecting AI/ML solutions, MLOps, and deep learning. With a background in the energy tech startup space, he managed a team focused on delivering SaaS applications for subsurface AI in hydrocarbon and renewable energy exploration and production. Now at Intel, Eduardo collaborates across technical teams, designing impactful solutions highlighting the Intel software and hardware stack's influence on deep learning and generative AI workloads.

### Where can I learn more?

There is more detail on the Intel® Certified Developer – MLOps Professional **[landing page](https://www.intel.com/content/www/us/en/developer/certification/mlops.html)**. This is also where you can sign up for the course and certification exam.

Tags (5)

*   Tags:
*   [AIDev](https://community.intel.com/t5/tag/AIDev/tg-p/board-id/blog-ai) 
*   [certification](https://community.intel.com/t5/tag/certification/tg-p/board-id/blog-ai) 
*   [DevOps](https://community.intel.com/t5/tag/DevOps/tg-p/board-id/blog-ai) 
*   [MLOps](https://community.intel.com/t5/tag/MLOps/tg-p/board-id/blog-ai) 
*   [Training](https://community.intel.com/t5/tag/Training/tg-p/board-id/blog-ai) 

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[andre4](https://community.intel.com/t5/user/viewprofilepage/user-id/324855)

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‎11-22-2023 02:23 AM

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What is the next step for me if and when I become certified?

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[Jack_Erickson](https://community.intel.com/t5/user/viewprofilepage/user-id/234730)

 Employee 

‎11-22-2023 10:13 AM

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Hi[@andre4](https://community.intel.com/t5/user/viewprofilepage/user-id/324855)- upon successfully passing the certification exam, you receive a Credly badge. This acts as proof of your completion that can be easily searched and referenced by prospective employers. Since the course also involves a real capstone project, that experience is also valuable in applying to the numerous MLOps opportunities out there!

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[andre4](https://community.intel.com/t5/user/viewprofilepage/user-id/324855)

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‎11-23-2023 03:34 AM

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[@Jack_Erickson](https://community.intel.com/t5/user/viewprofilepage/user-id/234730)thanks for your response. Do we also get an actual certificate we can add to our resume? Thanks.

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[arjunraghunanda nan](https://community.intel.com/t5/user/viewprofilepage/user-id/326168)

 Beginner 

‎11-28-2023 12:23 PM

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_Hi,_

_I recently enrolled to the training. I am in the first section where I have to claim the Cloud Credits via cloud.intel.com. I entered the given coupon and it says "**Error :**the provided coupon code (**<coupon omitted from comment>** ) does not exists. please provide a valid coupon code". Please guide me on how to proceed._

_Thank you._

EDIT : Hi, **Update on my previous comment.**

**The coupon worked** after attempting a few more time.

*   I entered **with**and **without**the '-' in between.
*   I manually entered and also copy pasted.

I am not sure why the first multiple attempts failed but Now I have the Lab credits.

Thank you

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[Jack_Erickson](https://community.intel.com/t5/user/viewprofilepage/user-id/234730)

 Employee 

‎11-29-2023 05:22 AM

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Hi [@arjunraghunandanan](https://community.intel.com/t5/user/viewprofilepage/user-id/326168)- thanks for your persistent problem solving, I will let our folks know in case there was some kind of glitch.

In the future, for issues like this, you can directly contact [Intel.certified.developer.program@intel.com](mailto:Intel.certified.developer.program@intel.com), with a screenshot of the code your are entering along with the error message.

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[Naseer007](https://community.intel.com/t5/user/viewprofilepage/user-id/446134)

 Beginner 

‎09-13-2025 09:32 AM

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[@Jack_Erickson](https://community.intel.com/t5/user/viewprofilepage/user-id/234730), i couldn't find the course now, do you have any link where i can find the videos of the course.

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[robertoso](https://community.intel.com/t5/user/viewprofilepage/user-id/478259)

 Beginner 

‎03-30-2026 09:14 AM

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Hi[@Jack_Erickson](https://community.intel.com/t5/user/viewprofilepage/user-id/234730) I have the same issue as[@Naseer007](https://community.intel.com/t5/user/viewprofilepage/user-id/446134), the link is not taking me to a page where i can see the MLOps professional content. Is there a new link? is it only for entreprise partners in Developer Zone Premier ?

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[akki01](https://community.intel.com/t5/user/viewprofilepage/user-id/491939)

 Beginner 

‎08-02-2026 02:50 AM

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Hi Intel,

What is the next step for me to get certified?

Regards

Akshay

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Inactive/Active

**Inactive** means Intel will not collect and Share my device information for Ad Targeting uses.

**Active** means Intel may collect and Share my device information for Ad Targeting uses.

If you visit an Intel Site or service using a device with a United States IP address and a privacy-preference signal enabled (e.g., [Do Not Track](http://www.allaboutdnt.com/), [Global Privacy Control](https://globalprivacycontrol.org/)), Intel will not collect device information for the purpose of Ad Targeting uses.

If you visit an Intel Site or service using a device with a United States IP address, you have not enabled a privacy-preference signal, and your Ad Targeting and Sharing Choices are set to Active, Intel may collect device information for the purpose of Ad Targeting uses.

If you have more than one device, you will need to configure all devices with your privacy-preferences.

These technologies may be set through our Intel experience or by our advertising partners. The technology may be used to build a profile of the device owner’s interests and show the device owner relevant advertisements on other experiences. The technology does not store directly personal information on the device, but the technology is based on uniquely identifying the device. If the device owner does not allow these technologies, then the device owner will experience less targeted advertising.

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#### Data Transfer

- [x] Data Transfer Inactive

You consent to allowing Intel to transfer your personal information outside of China for processing based upon Intel's [Privacy](https://community.intel.com/content/www/cn/zh/privacy/intel-privacy-notice.html) and [Cookies](https://community.intel.com/content/www/cn/zh/privacy/intel-cookie-notice.html) notices as well as the [Intel Privacy Notice Supplement for Users in China](https://www.intel.com/content/dam/www/public/cn/zh/documents/corporate-information/china-supplement-to-global-privacy-notice.pdf).

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#### Data Sharing

- [x] Data Sharing Inactive

You consent to Intel sharing your personal information with Intel's affiliates, Intel's partners, and Intel-authorized third-party personal information processors.

Cookies Details

### Cookie List

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