AWS Certified Machine Learning Specialty (2023)
This set of labs is designed to help you learn and prepare for the AWS Certified Machine Learning – Specialty certification exam. This prestigious certification validates a candidate’s comprehensive ability to design, construct, deploy, optimize, train, tune, and maintain Machine Learning (ML) solutions tailored to specific business problems, all within the versatile AWS Cloud environment. This set of labs closely aligns with the AWS Certified Machine Learning – Specialty objectives, providing a well-structured and focused route to support your journey toward achieving this sought-after certification.
The target candidate for the AWS Certified Machine Learning - Specialty exam should be an experienced professional with a strong background in machine learning (ML) or deep learning workloads in the AWS Cloud. Candidates are expected to have a minimum of 2 years of hands-on experience in developing, architecting, and running ML or deep learning workloads within the AWS environment. While there are no strict prerequisites, individuals who are new to AWS are advised to start with the AWS Technical Essentials Learning Path to establish a foundational understanding. Additionally, for candidates looking to enhance their DevOps and automation skills in the context of machine learning, completing the AWS Certified DevOps Engineer - Associate or AWS Certified DevOps Engineer - Professional certifications prior to pursuing the AWS Certified Machine Learning - Specialty can be beneficial.
What's Included:
- 10 launches per module
- Free Access to production AWS Subscription (No sign up / credit cards)
- Free 24/7 premier support
- Free instructor access
Platform Features:
- Seamless paste to virtual machine functionality
- Integrated keyboard language translation for all countries
- Integrated step-by-step instructions
- Remote classroom management for instructors & admins
- Student progress reporting
| Lab | Estimated completion time |
|---|---|
| 1. Build a Sample Chatbot using Amazon Lex |
45 mins
|
| 2. Creating a serverless web application for Text-to-Speech using Amazon Polly |
60 mins
|
| 3. An Introduction to Amazon Recognition with AWS Lambda |
60 mins
|
| 4. Detecting, Analysing and Comparing Faces with Amazon Rekognition |
30 mins
|
| 5. Handle Errors in Serverless Applications |
60 mins
|
| 6. Introduction to Amazon Athena |
60 mins
|
FAQ
If you are unable to place an order for Microsoft content, it may be that your account does not hold the required privileges to do so. Please ensure that you have entered a valid Partner ID in your organisation settings, so we are able to validate your TSP status and grant access accordingly.
Order information is sent via email to the registered email address of the account that was used to place the order. You will receive an order confirmation email with a PDF attachment which includes your lab access information.
If you believe you have ordered the wrong labs, please reach out to our support team.
Orders placed using a debit or credit card cannot be cancelled once they have been placed. Customers that are on monthly invoicing terms can cancel an order, assuming the product access key has not yet been issued / redeemed, up until the cut-off point. If you are unsure of your cut off point, please reach out to your account manager for further information.
If you believe you have ordered the wrong labs, please reach out to our support team.
Support can be reached at either of the following methods:
- Service desk: https://lab.support.godeploy.com
- Email: helpdesk@support.godeploy.com