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certification vs course

365 Data Science AI Model deployment on AWS vs. Databricks Certified Machine Learning Associate

Choose between learning to deploy machine-learning models on AWS and taking an exam that validates Databricks machine-learning skills. The 365 Data Science option is one intermediate training course with a course exam. Databricks Certified Machine Learning Associate is a separate proctored certification exam across four domains. These serve different goals and ecosystems; neither is an equivalent substitute for the other.

Prices and payment scope

Prices and figures in this comparison are as shown in the United States on 25 September 2026. Record fields retain their own source dates.

These are not the same purchase.

AI Model deployment on AWS

no accepted price

Payment scope: platform subscription, not a track price.

Databricks Certified Machine Learning Associate

USD 200 · per exam attempt

Official source · checked

What you hold at completion

AI Model deployment on AWS

What you receive
Course CertificateOfficial source · checked
Issued by
365 Data ScienceOfficial source · checked
Completion requirement
Complete the course and pass its 60-minute exam with 60% or above, according to the provider’s certificate policy.Official source · checked
Sharing
The provider describes the certificate as verifiable and shareable via Credential ID and Link.Official source · checked

Databricks Certified Machine Learning Associate

What you receive
Databricks Certified Machine Learning AssociateOfficial source · checked
Issued by
DatabricksOfficial source · checked
Completion requirement
Pass the certification exam; passing threshold not stated.Official source · checked
Sharing
Not stated by the provider

Validity and renewal

AI Model deployment on AWS

Validity: not stated in this record

Databricks Certified Machine Learning Associate

Validity: Valid for two years; recertification requires taking the full currently live exam.

Official source · checked

Who should skip these options

AI Model deployment on AWS

  • Skip this course if you lack foundational knowledge of cloud environments and machine learning; course-specific intermediate prerequisites supersede platform-wide zero-experience claims.Official source · checked
  • Do not assume CPE credits are automatically accepted; acceptance rests with your specific state board of accountancy.Official source · checked

Databricks Certified Machine Learning Associate

  • Choose a more advanced assessment if you need enterprise-scale production ML rather than basic Databricks ML tasks.Official source · checked
  • Do not treat the recommended six months of experience as a mandatory registration prerequisite.Official source · checked
  • Do not use the 90-minute exam sitting as a preparation estimate; no preparation duration or passing threshold is stated.Official source · checked

Provider-listed modules and exam domains

AI Model deployment on AWS

  • Introduction To AI Deployment · 2 min; Section 1 · Source
  • Serverless Model Deployment Options On AWS · 16 min; Section 2 · Source
  • Long Running AI Model Serving · 13 min; Section 3 · Source
  • Sagemaker Deployment · 11 min; Section 4 · Source
  • Cost Management For AI Deployment · 10 min; Section 5 · Source
  • A/B Testing On AWS · 15 min; Section 6 · Source
  • Other Deployment Strategies · 13 min; Section 7 · Source
  • Outro · 4 min; Section 8 · Source
  • Course Exam · 60 min; Section 9 · Source

Databricks Certified Machine Learning Associate

  • Databricks Machine Learning · Exam section; no weight stated. · Source
  • Data Processing · Exam section; no weight stated. · Source
  • Model Development · Exam section; no weight stated. · Source
  • Model Deployment · Exam section; no weight stated. · Source

AI Model deployment on AWS

This intermediate course teaches AWS model deployment through Lambda, ECS/Fargate, EC2, EKS and SageMaker, including autoscaling and rollout strategies. It contains 34 lessons, 21 exercises and one course exam. The provider’s one-hour headline is separate from detailed timings of 84 instructional minutes plus a 60-minute exam; neither is an elapsed completion estimate. Basic cloud and machine-learning knowledge is required. The course-certificate policy requires completing the course and passing the exam with 60% or above; expiry and renewal are not stated. This focused AWS course does not cover the Databricks exam’s data-processing and model-development syllabus. Subscription access, cloud usage costs and a complete study budget must be considered separately.Official source · checked

Machine learning engineers and developers looking to move models into production, learners building prototypes, scaling SaaS platforms, or deploying in regulated industries.Official source · checked

Basic understanding of Cloud and understanding of Machine Learning.Official source · checked

Databricks Certified Machine Learning Associate

This proctored certification exam assesses basic Databricks machine-learning tasks across Databricks Machine Learning, Data Processing, Model Development and Model Deployment. Its 48 scored items cover AutoML, Unity Catalog, MLflow, feature engineering, model training and deployment. The 90-minute exam sitting is not a preparation estimate. No prerequisite is mandatory; course attendance and six months of hands-on experience are recommended. The guide lists four self-paced preparation courses separately, without establishing training inclusion in the $200 registration fee. The credential lasts two years and requires the full current exam for recertification. This assessment does not provide AWS deployment instruction; the passing threshold and preparation duration are unstated.Official source · checked

Practitioners using Databricks for basic machine-learning tasks including data preparation, model development and deployment.Official source · checked

No prerequisite required. Course attendance and six months of hands-on experience are highly recommended, with working Python, scikit-learn, SparkML, Unity Catalog and related data-management knowledge.Official source · checked

Format and Purpose

The 365 Data Science offering is an instructional course featuring 84 minutes of instruction across 34 lessons and 21 exercises, plus a 60-minute exam. Its headline duration of one hour cannot be compared to the Databricks certification, which is strictly a 90-minute, 48-item assessment with no published preparation time. The guide does not establish that preparation materials are included in the exam fee, though they recommend four self-paced courses and six months of experience.

Ecosystems

The options focus on different platforms and tasks. The 365 Data Science course focuses on the AWS ecosystem, teaching deployment using AWS Lambda, Amazon EC2, Amazon EKS, and Amazon SageMaker. The Databricks exam tests existing knowledge of Databricks Machine Learning, Data Processing, Model Development, and Model Deployment.

Prerequisites and Credentials

To take the 365 Data Science course, you need basic cloud and machine learning knowledge. Earning its certificate requires completing the course and passing the internal exam with a score of 60% or above. The Databricks exam has no mandatory prerequisites, though six months of hands-on experience is recommended. Passing the Databricks exam, which has an unpublished threshold, yields a credential valid for two years. Recertification requires you to pass the current exam version again.

Pricing

Purchasing these programs involves different models. The Databricks exam requires a $200 registration fee, transparently normalized to USD, covering a single exam attempt. 365 Data Science utilizes a subscription model for access, displaying varying rates such as $12.50 per month billed annually, a $36 old/reference price, and a $29 FAQ mention. The 365 ISO currency, tax and checkout annual/completion total are not established. Exam registration and subscription access are different payment scopes; no cost winner is inferred.

Which to choose if…

AI Model deployment on AWS

Choose the 365 Data Science course if you have basic cloud and machine-learning knowledge and want focused instruction on AWS deployment services and rollout strategies. Its 34 lessons and 21 exercises lead to a course exam. It does not award Databricks certification or cover the Databricks exam’s broader data-processing and model-development syllabus.Official source · checked

Databricks Certified Machine Learning Associate

Choose the Databricks exam if you want to validate skills in Databricks Machine Learning, Data Processing, Model Development and Model Deployment. No prerequisite is mandatory, but six months of hands-on experience is recommended. The guide lists four self-paced preparation courses separately; it does not establish that training is included in the registration fee. This is not AWS deployment instruction.Official source · checked

Alternatives in the registry

Related by topic or level.

Check the provider pages

AI Model deployment on AWS

Read the program record

Verify current details

Official source: https://365datascience.com/courses/ai-model-deployment-on-aws/

Official source · checked

Databricks Certified Machine Learning Associate

Read the program record

Verify current details

Official source · checked

Built . Record fields retain their own checked-on dates.

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