LMS Collaborator
Adobe Learning Manager
Moodle
Udemy
Seismic Learning
LinkedIn Learning
MindTickle
WorkRamp
Jupyter
Looker
Databricks
Google BigQuery
Presto DB
Rakam
Informatica
Concurrent
LMS Collaborator is a best solution for companies from 50 employees. Also it used in trainig centers, goverment and non-profit organizations. It gives three solutions in one platform - eLearning, Knowledge Base, and Communication Center.
The LMS Collaborator Task maintain any content such as: simple resource - page, file, audio, video, image gallery, document, presentation, e-book, etc. - all can be shown in browser for reading and view; interactive web-application in SCORM (1.2 or 2004) and HTML formats; quizz and polls for testing knowledge and organizing surveys (votes, feedbacks, polls); interactive workshops - the assignment of practical tasks and their estimation in the personal chat; assessment tool - checklist of compliense or 360 degree survey; webinar or inperson meetup in classroom; e-learning course; big learning program with many learning subtasks and conditions of their completion and access to them. Each Task supports different options of assigning users, options of during period, commenting ability, publication into a catalog, score parameters, ability of getting badge or certificate, and other settings of learning process. Some tasks parameters depend on content type. It's a testing process params if content is a quizz, or polls setting if content is a survey for example.
Collaborator offers an REST API, which allows businesses to integrate the platform with third-party solutions or anyone corporate information system.
LMS Collaborator JupyterThis platform is highly recommended for medium to large enterprises looking for a scalable and customizable LMS solution. It is also suitable for organizations that emphasize collaborative learning and need to easily integrate training within their existing workflows.
Based on our record, Jupyter seems to be more popular. It has been mentiond 216 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Showcase and share: Easily embed UIs in Jupyter Notebook, Google Colab or share them on Hugging Face using a public link. - Source: dev.to / 3 months ago
LangChain wasn’t designed in isolation — it was built in the data pipeline world, where every data engineer’s tool of choice was Jupyter Notebooks. Jupyter was an innovative tool, making pipeline programming easy to experiment with, iterate on, and debug. It was a perfect fit for machine learning workflows, where you preprocess data, train models, analyze outputs, and fine-tune parameters — all in a structured,... - Source: dev.to / 4 months ago
Leverage versatile resources to prototype and refine your ideas, such as Jupyter Notebooks for rapid iterations, Google Colabs for cloud-based experimentation, OpenAI’s API Playground for testing and fine-tuning prompts, and Anthropic's Prompt Engineering Library for inspiration and guidance on advanced prompting techniques. For frontend experimentation, tools like v0 are invaluable, providing a seamless way to... - Source: dev.to / 5 months ago
Lately I've been working on Langgraph4J which is a Java implementation of the more famous Langgraph.js which is a Javascript library used to create agent and multi-agent workflows by Langchain. Interesting note is that [Langchain.js] uses Javascript Jupyter notebooks powered by a DENO Jupiter Kernel to implement and document How-Tos. So, I faced a dilemma on how to use (or possibly simulate) the same approach in... - Source: dev.to / 9 months ago
One of the most convenient ways to play with datasets is to utilize Jupyter. If you are not familiar with this tool, do not worry. I will show how to use it to solve our problem. For local experiments, I like to use DataSpell by JetBrains, but there are services available online and for free. One of the most well-known services among data scientists is Kaggle. However, their notebooks don't allow you to make... - Source: dev.to / 12 months ago
Adobe Learning Manager - Adobe Learning Manager (formerly Adobe Captivate Prime LMS) is easy to setup and helps in delivering engaging learning experiences in a personalized manner across devices.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Moodle - Moodle is the world's most popular learning management system. Start creating your online learning site in minutes!
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Udemy - Online Courses - Learn Anything, On Your Schedule
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
