TalentLMS
TalentLMS is the LMS built for training success making it easy to provide the right training for any team and every use, while giving expert guidance and support every step of the way.
Integrate the TalentLMS API with the Go API
Setup the TalentLMS API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate TalentLMS and Go remarkably fast. Free for developers.
Popular TalentLMS and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Overview of TalentLMS#
TalentLMS's API enables you to automate and integrate your learning management tasks with ease. From syncing user data to generating detailed reports, the API opens up a world of possibilities for e-learning automation. With Pipedream, you can connect TalentLMS to a plethora of other apps, crafting personalized, intelligent workflows that operate seamlessly in the background, thus enhancing the learning experience for both instructors and trainees without manual intervention.
Connect TalentLMS#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
talentlms: {
type: "app",
app: "talentlms",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.talentlms.$auth.domain}.talentlms.com/api/v1/users`,
auth: {
username: `${this.talentlms.$auth.api_key}`,
password: ``,
},
})
},
})
Overview of Go#
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
Connect Go#
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}