TrainerCentral is a cloud-based learning management system (LMS) that enables organizations to create, manage, and deliver online training programs.
๐Ÿ”— Connect and Use TrainerCentral
1. ๐Ÿ”‘ Connect your TrainerCentral a
2. โœ… Select an action
3. ๐Ÿš€ Go live with the agent
What do you want to do?

API actions for TrainerCentral for AI assitants/agents

Language
JS
PYTHON
Framework

Create Course

Create a new course in TrainerCentral
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_COURSE])

Enroll Student

Enroll a student in a specific course
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.ENROLL_STUDENT])

Schedule Session

Schedule a new training session for a course
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SCHEDULE_SESSION])

Assign Trainer

Assign a trainer to a specific course or session
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.ASSIGN_TRAINER])

Create Assessment

Create a new assessment or quiz for a course
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_ASSESSMENT])

Generate Certificate

Generate a completion certificate for a student
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.GENERATE_CERTIFICATE])

Send Course Reminder

Send a reminder to students about an upcoming course or session
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SEND_COURSE_REMINDER])

Update Course Content

Update the content or materials for an existing course
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.UPDATE_COURSE_CONTENT])

Create Learning Path

Create a new learning path consisting of multiple courses
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_LEARNING_PATH])

Generate Report

Generate a report on course progress, completion rates, or assessments
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.GENERATE_REPORT])

Create Discussion Forum

Create a new discussion forum for a specific course
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_DISCUSSION_FORUM])

Add Resource

Add a new resource (document, video, etc.) to a course
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.ADD_RESOURCE])

Create Survey

Create a new survey for course feedback or assessment
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_SURVEY])

Set Course Deadline

Set or update the completion deadline for a course
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SET_COURSE_DEADLINE])

Create Group

Create a new group for collaborative learning or projects
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_GROUP])

Course Completed

Triggered when a student completes a course
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.COURSE_COMPLETED])

New Enrollment

Triggered when a new student enrolls in a course
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.NEW_ENROLLMENT])

Session Started

Triggered when a training session begins
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SESSION_STARTED])

Assessment Submitted

Triggered when a student submits an assessment or quiz
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.ASSESSMENT_SUBMITTED])

Trainer Assigned

Triggered when a trainer is assigned to a course or session
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.TRAINER_ASSIGNED])

Course Rating Received

Triggered when a student provides a rating for a completed course
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.COURSE_RATING_RECEIVED])

Certificate Issued

Triggered when a completion certificate is issued to a student
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CERTIFICATE_ISSUED])

Course Content Updated

Triggered when course content or materials are updated
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.COURSE_CONTENT_UPDATED])

Learning Path Completed

Triggered when a student completes all courses in a learning path
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.LEARNING_PATH_COMPLETED])

Low Course Engagement

Triggered when student engagement in a course falls below a certain threshold
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.LOW_COURSE_ENGAGEMENT])

New Forum Post

Triggered when a new post is made in a course discussion forum
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.NEW_FORUM_POST])

Resource Accessed

Triggered when a student accesses a specific course resource
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.RESOURCE_ACCESSED])

Survey Completed

Triggered when a student completes a course survey
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SURVEY_COMPLETED])

Course Deadline Approaching

Triggered when a course completion deadline is near
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.COURSE_DEADLINE_APPROACHING])

Group Project Submitted

Triggered when a group submits a project or assignment
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.GROUP_PROJECT_SUBMITTED])

Frequently asked questions

What is Composio.dev?

Composio.dev is a cutting-edge framework for building AI applications, designed to make the process of developing AI solutions super easy and fun! It's a collection of powerful tools and libraries that simplify the process of creating AI applications, allowing you to focus on the creative aspects of your project without getting bogged down by the technical details.

How does Composio.dev support TrainerCentral?

Composio.dev seamlessly integrates with TrainerCentral, making it a breeze to leverage its capabilities within the Composio.dev platform. You can use TrainerCentral to call functions on various platforms like Google, GitHub, and others, allowing you to incorporate different services into your AI applications with ease. It also supports user login via OAuth2 and can work with other popular frameworks such as LangChain and CrewAI, giving you the flexibility to build truly innovative AI solutions.

What models can I use with TrainerCentral and langchain_python?

When using TrainerCentral and langchain_python, you have access to a wide range of state-of-the-art language models, including GPT-4o (OpenAI), GPT-3.5 (OpenAI), GPT-4 (OpenAI), Claude (Anthropic), PaLM (Google), LLaMA and LLaMA 2 (Meta), Gemini, and many others. This flexibility allows you to choose the model that best suits your specific use case, whether you're building a chatbot, a content creation tool, or any other AI-powered application. You can experiment with different models and find the one that delivers the best performance for your project.

How can I integrate TrainerCentral with langchain_python?

Integrating TrainerCentral with langchain_python is super easy with Composio.dev! You can use the Composio.dev API to call functions from both TrainerCentral and langchain_python, allowing you to tap into their capabilities with just a few lines of code. The SDK is available in Python, JavaScript, and TypeScript, so you can work with the language you're most comfortable with and integrate these powerful tools into your projects seamlessly.

What is the pricing for TrainerCentral and langchain_python?

Both TrainerCentral and langchain_python are completely free to use, with a generous free tier that allows up to 1000 requests per month. This makes them accessible for developers and organizations of all sizes, whether you're a student working on a personal project or a startup building the next big thing. You can get started with these powerful tools without worrying about breaking the bank.

What kind of authentication is supported for TrainerCentral and langchain_python?

TrainerCentral and langchain_python support OAuth2 authentication, ensuring secure and authorized access to their functionalities. You can use the Composio.dev API to handle authentication and call functions from both TrainerCentral and langchain_python seamlessly. The SDK is available in Python, JavaScript, and TypeScript for your convenience, making it easy to integrate authentication into your projects and keep your users' data safe and secure.

Can I add TrainerCentral to my project?

Absolutely! You can easily incorporate TrainerCentral into your project by utilizing the Composio.dev API. This API allows you to call functions from both TrainerCentral and langchain_python, enabling you to leverage their capabilities within your application. The SDK is available in Python, JavaScript, and TypeScript to facilitate integration, so you can work with the language you're most comfortable with and add these powerful tools to your project with ease.

What is the accuracy of TrainerCentral and langchain_python?

TrainerCentral and langchain_python are designed to provide highly accurate and reliable results, ensuring that your AI applications perform at their best. The integration with Composio.dev ensures precise function calls, enabling you to build robust and powerful AI applications with confidence. The comprehensive framework and the ability to leverage state-of-the-art models ensure reliable and accurate outcomes for your AI development needs, whether you're working on a chatbot, a content creation tool, or any other AI-powered project.

What are some common use cases for TrainerCentral and langchain_python?

TrainerCentral and langchain_python can be used for a wide range of AI applications, making them versatile tools for developers and creators alike. Some common use cases include natural language processing, text generation, question answering, sentiment analysis, and more. They're particularly useful for building chatbots, virtual assistants, content creation tools, and other AI-powered applications that can help you automate tasks, engage with users, and create compelling content. Whether you're working on a personal project or building a product for your startup, these tools can help you bring your ideas to life.

How does TrainerCentral handle data privacy and security?

Data privacy and security are crucial considerations when working with AI systems, and TrainerCentral takes these issues seriously. It follows industry best practices and adheres to strict data protection regulations, ensuring that your data is kept safe and secure. TrainerCentral provides robust security measures, such as encryption and access controls, to ensure the confidentiality and integrity of your data. You can rest assured that your sensitive information is protected when using TrainerCentral for your AI development needs.

Can I customize TrainerCentral and langchain_python for my specific needs?

Absolutely! TrainerCentral and langchain_python are highly customizable and extensible, allowing you to tailor their functionality, models, and configurations to meet your specific requirements. Whether you're building a chatbot, a content creation tool, or any other AI-powered application, you can customize these tools to fit your unique needs. Additionally, Composio.dev provides a flexible platform for integrating and orchestrating various AI tools and services, enabling you to create custom AI solutions that are tailored to your project.

What kind of support and documentation is available for TrainerCentral and langchain_python?

TrainerCentral and langchain_python have comprehensive documentation and a supportive community, making it easy for you to get started and find answers to your questions. Composio.dev also provides extensive resources, including tutorials, guides, and a dedicated support team to assist you throughout your AI development journey. Whether you're a beginner or an experienced developer, you'll have access to the resources you need to make the most of these powerful tools.
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