STEP 1
Connect AWS Rekognition and TalentLMS
Save credentials in WEXTL once. We store them encrypted and reuse the authorization across every workflow [3]. No coding or API skills required.
AWS Rekognition and TalentLMS Integration
Automate your ai and marketing data by integrating AWS Rekognition with TalentLMS inside visual workflow builder. Pick an action that happens inside AWS Rekognition, after which TalentLMS will perform subsequent action with field values you set. No coding skills required. Simple, visual automation that your team can see.
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Learn about AWS Rekognition and TalentLMS
Detailed info you need to know about AWS Rekognition and TalentLMS integrations in WEXTL. Explore which modules apps support and how you connect them.
AWS Rekognition
Detect faces, labels, text, and moderation content in images with Amazon Rekognition. [5]
How to connect AWS Rekognition to TalentLMS
Set up your AWS Rekognition and TalentLMS integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected AWS Rekognition and TalentLMS nodes onto the canvas [4], or describe what you want and WEXTL wires the flow together with AI Builder.
STEP 3
Map your data
Choose which fields need to sync between AWS Rekognition and TalentLMS. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between AWS Rekognition and TalentLMS work in WEXTL?
WEXTL exposes actions and triggers for AWS Rekognition and TalentLMS that help you connect apps and automate repetitive tasks [1]. A trigger is an event that happens, an action — a step that performs when the event has occurred.
AWS Rekognition actionsTalentLMS actions
AWS Rekognition modules
- Compare FacesCompare Faces via Amazon AWS.
- Create CollectionCreate Collection via Amazon AWS.
- Detect FacesDetect Faces via Amazon AWS.
- Detect LabelsDetect Labels via Amazon AWS.
- Detect Moderation LabelsDetect Moderation Labels via Amazon AWS.
- Detect Protective EquipmentDetect Protective Equipment via Amazon AWS.
- Detect TextDetect Text via Amazon AWS.
- Face Search By ImageFace Search By Image via Amazon AWS.
- Index FacesIndex Faces via Amazon AWS.
- Make an API CallPerforms an arbitrary authorized API call to the AWS Rekognition endpoint.
- Recognize CelebritiesRecognize Celebrities via Amazon AWS.
TalentLMS modules
- Add a Course to a BranchAdds a course to a branch.
- Add a Course to a GroupAdds a course to a group.
- Add a User to a BranchAdds a user to a branch.
- Add a User to a CourseEnrolls a user in a course.
- Add a User to a GroupAdds a user to a group.
- Check If a User Is OnlineReturns whether a user is online.
- Create a BranchCreates a branch.
- Create a CourseCreates a course.
- Create a Course Login LinkCreates a one-time link that opens a course for a user.
- Create a GroupCreates a group.
- Create a UserCreates a user.
- Delete a BranchDeletes a branch.
- Delete a CourseDeletes a course.
- Delete a GroupDeletes a group.
- Delete a UserDeletes a user.
- Get a BranchReturns a single branch.
- Get a CategoryReturns a single category and its courses.
- Get a CourseReturns a single course.
- Get a GroupReturns a single group.
- Get a UserReturns a single user.
- Get a User by EmailReturns the user for an email address.
- Get a User by UsernameReturns the user for a username.
- Get Category Leafs and CoursesReturns the child categories and their courses.
- Get Domain DetailsReturns totals and signup settings for the portal.
- Get Rate LimitsReturns the portal's remaining hourly request allowance.
- Get Survey AnswersReturns a user's answers on a survey.
- Get Test AnswersReturns a user's answers on a test.
- Get TimelineRetrieves the latest timeline events of one type.
- Get User Status in a CourseReturns a user's progress in a course.
- List BranchesRetrieves the branches in the portal.
- List CategoriesRetrieves the course categories.
- List CoursesRetrieves the courses in the portal.
- List Courses by Custom FieldRetrieves courses that share a custom field value.
- List Custom Course FieldsRetrieves the custom course fields.
- List Custom Registration FieldsRetrieves the custom registration fields.
- List GroupsRetrieves the groups in the portal.
- List ILT SessionsRetrieves the sessions of an instructor-led unit.
- List Unit ScoresRetrieves scores for a unit.
- List UsersRetrieves a page of users.
- List Users by Custom FieldRetrieves users who share a custom field value.
- Log In a UserCreates a one-time login link for a user.
- Log Out a UserLogs a user out of the portal.
- Make an API CallPerforms an arbitrary authorized API call.
- Remove a User from a BranchRemoves a user from a branch.
- Remove a User from a CourseRemoves a user from a course.
- Remove a User from a GroupRemoves a user from a group.
- Reset User ProgressClears a user's progress in a course.
- Send a Password ResetEmails a user a password reset link.
- Send a Username ReminderEmails a user their username.
- Set Branch StatusSets a branch to active or inactive.
Explore alternative integrations
There are other apps [9] supported by WEXTL that can be paired with AWS Rekognition and TalentLMS integrations. Pick any from the list below if the current combination isn't the one you need.
Frequently asked questions
Common questions about connecting AWS Rekognition and TalentLMS.
Connect your AWS Rekognition and TalentLMS accounts once, pick an action in one app and an action in the other, then map the fields so data flows automatically between them. [3]
Example: use AWS Rekognition's "Compare Faces" action to perform TalentLMS's "Add a Course to a Branch" action. AWS Rekognition has 11 actions (including Compare Faces, Create Collection, and Detect Faces); TalentLMS has 52 actions (including Add a Course to a Branch, Add a Course to a Group, and Add a User to a Branch). Add filters and transforms between steps when you need them. [1]
Yes — pick an action in either app, then an action in the other, and map the fields between them. [2]
No. AWS Rekognition-to-TalentLMS automations are built visually on the canvas. You can optionally add custom JavaScript with Functions when you need advanced logic. [4]
Yes. Trigger-based automations start the moment AWS Rekognition (or TalentLMS) fires a new event — webhook-backed apps run within seconds, and polling-only apps re-check on a schedule you control. [7]
A first automation typically takes 5–10 minutes: connect each app's credential once, drop a trigger + action onto the canvas, map the fields, and turn the workflow on.
You can build your AWS Rekognition + TalentLMS automation on a 3-day trial with every feature unlocked. Cancel anytime. For your protection, a small deposit is charged to your card when your trial starts. It counts toward your first payment and is non-refundable. [8]
References
List of sources used to gather information about the AWS Rekognition and TalentLMS integration.
- AWS Rekognition and TalentLMS integration source code, module specs and credentials implementation.
- Our AWS Rekognition and TalentLMS integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for AWS Rekognition and TalentLMS — used to verify field meanings, authentication flows, and anything our own specs don't fully capture.
- WEXTL® visual workflow builder, anonymized data from our technical support team.
- AWS Rekognition integration information
- TalentLMS integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library