100+ Free Resources On Generative AI for Data Scientists
The Future is using AI and ML Together
A curated list of 100+ resources to help you become a Generative AI Data Scientist. This repository includes resources on building GenAI Data Science applications with Large Language Models (LLMs) and deploying LLMs and Generative AI/ML with Cloud-based solutions.
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- Awesome Generative AI Data Scientist
- Awesome Real-World AI Use Cases
- Python Libraries
- Curated Python AI, Data Science, and ML Compilations
- Data Science And AI Agents
- Coding Agents
- Deep Research Agents
- AI Frameworks (Build Your Own)
- AI Frameworks (Drag and Drop)
- LLM Providers
- Open Source LLM Models
- LangChain Ecosystem
- LangGraph Extensions
- Huggingface Ecosystem
- Vector Databases (RAG)
- Pretraining
- Fine-tuning
- Testing and Monitoring (Observability)
- Document Parsing
- Web Parsing (HTML) and Web Crawling
- Agents and Tools (Build Your Own)
- Agents and Tools (Prebuilt)
- LLM Memory
- LLMOps
- Code Sandbox (Security)
- Browser Control Agents
- Prompt Improvement
- Other
- R Libraries
- LLM Deployment (Cloud Services)
- Examples and Cookbooks
- Newsletters
- Courses and Training
| Project | Description | Links |
|---|---|---|
| 🚀🚀 AI-Powered Data Science Team In Python | An AI-powered data science team of copilots that uses agents to help you perform common data science tasks 10X faster. | Apps | Examples | GitHub |
| 🚀 Awesome LLM Apps | LLM RAG AI Apps with Step-By-Step Tutorials. | GitHub |
| AI Hedge Fund | Proof of concept for an AI-powered hedge fund. | GitHub |
| AI Financial Agent | A financial agent for investment research. | GitHub |
| Structured Report Generation (LangGraph) | How to build an agent that can orchestrate the end-to-end process of report planning, web research, and writing. Produces reports of varying and easily configurable formats. | Video | Blog | Code |
| Uber QueryGPT | Uber's QueryGPT uses large language models (LLM), vector databases, and similarity search to generate complex queries from English (Natural Language) questions, enhancing productivity for engineers, operations managers, and data scientists. | Blog |
| Nir Diamant GenAI Agents Hub | Tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. A comprehensive guide for building intelligent, interactive AI systems. | GitHub |
| AI Engineering Hub | Real-world AI agent applications, LLM and RAG tutorials, with examples to implement. | GitHub |
| StockChat | An open-source alternative to Perplexity Finance. | GitHub |
| Project | Description | Links |
|---|---|---|
| Awesome Generative AI Data Scientist | A curated list of 100+ resources for building and deploying generative AI specifically focusing on helping you become a Generative AI Data Scientist | GitHub |
| LLM Engineer Toolkit | A curated list of 120+ LLM libraries organized by category. | GitHub |
| 🚀🚀 Best of ML Python | A ranked list of awesome machine learning Python libraries. Updated weekly. | GitHub |
| 🚀🚀 Awesome Python Data Science | Probably the best curated list of data science software in Python. | GitHub |
| Awesome Production Machine Learning | A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning | GitHub |
| Awesome AI Agents | A list of AI autonomous agents | GitHub |
| Project | Description | Links |
|---|---|---|
| 🚀🚀 AI Data Science Team In Python | AI Agents to help you perform common data science tasks 10X faster. | Apps | Examples | GitHub |
| 🚀 PandasAI | Open Source AI Agents for Data Analysis. | Documentation | GitHub |
| Microsoft Data Formulator | Transform data and create rich visualizations iteratively with AI 🪄. | Paper | GitHub |
| Jupyter Agent | Let a LLM agent write and execute code inside a notebook. | Hugging Face |
| Jupyter AI | A generative AI extension for JupyterLab. | Documentation | GitHub |
| WrenAI | Open-source GenBI AI Agent. Text2SQL made Easy! | Documentation | GitHub |
| Google GenAI Toolbox for Databases | Gen AI Toolbox for Databases is an open-source server that makes it easier to build Gen AI tools for interacting with databases. | Blog | Documentation | GitHub |
| Vanna AI | The fastest way to get actionable insights from your SQL database just by asking questions. | Documentation | GitHub |
| Project | Description | Links |
|---|---|---|
| Qwen-Agent | A framework for developing LLM applications based on the instruction following, tool usage, planning, and memory capabilities of Qwen. It also comes with example applications such as Browser Assistant, Code Interpreter, and Custom Assistant. | Documentation | Examples | GitHub |
| Project | Description | Links |
|---|---|---|
| HuggingFace OpenDeepResearch | Open version of OpenAI's Deep Research agent. | Blog | Example | GitHub |
| OpenDeepResearcher | AI researcher that continuously searches for information based on a user query until the system is confident that it has gathered all the necessary details. | GitHub |
| Project | Description | Links |
|---|---|---|
| LangChain | A framework for developing applications powered by large language models (LLMs). | Documentation | GitHub | Cookbook |
| LangGraph | A library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows. | Documentation | Tutorials |
| LangSmith | A platform for building production-grade LLM applications. It allows you to closely monitor and evaluate your application, so you can quickly and confidently ship. | Documentation | GitHub |
| LlamaIndex | A framework for building context-augmented generative AI applications with LLMs. | Documentation | GitHub |
| LlamaIndex Workflows | A mechanism for orchestrating actions in increasingly complex AI applications. | Blog |
| CrewAI | Streamline workflows across industries with powerful AI agents. | Documentation | GitHub |
| AutoGen | Microsoft's programming framework for agentic AI. | GitHub |
| Pydantic AI | Python agent framework designed to make building production-grade applications with Generative AI less painful. | GitHub |
| ControlFlow | Prefect's Python framework for building agentic AI workflows. | Documentation | GitHub |
| FlatAI | Frameworkless LLM Agents. | GitHub |
| Llama Stack | Meta (Facebook) core building blocks needed to bring generative AI applications to market. | Documentation | GitHub |
| Haystack | Deepset AI's open-source AI orchestration framework for building customizable, production-ready LLM applications. | Documentation | GitHub |
| Pocket Flow | A 100-line minimalist LLM framework for Agents, Task Decomposition, RAG, etc. | Documentation | GitHub |
| Agency Swarm | An open-source agent orchestration framework built on top of the latest OpenAI Assistants API. | Documentation | GitHub |
| Google GenAI | Google Gen AI Python SDK provides an interface for developers to integrate Google’s generative models into their Python applications. | Documentation | GitHub |
| AutoAgent | A fully-automated and highly self-developing framework that enables users to create and deploy LLM agents through natural language alone. | GitHub |
| Legion | A flexible and provider-agnostic framework designed to simplify the creation of sophisticated multi-agent systems. | Documentation | GitHub |
| Project | Description | Links |
|---|---|---|
| LangGraph Studio | IDE that enables visualization, interaction, and debugging of complex agentic applications. | GitHub |
| Langflow | A low-code tool that makes building powerful AI agents and workflows that can use any API, model, or database easier. | Documentation | GitHub |
| Pyspur | Graph-Based Editor for LLM Workflows. | Documentation | GitHub |
| LangWatch | Monitor, Evaluate & Optimize your LLM performance with 1-click. Drag and drop interface for LLMOps platform. | Documentation | GitHub |
| AutoGen Studio | A low-code interface to rapidly prototype AI agents, enhance them with tools, compose them into teams, and interact with them to accomplish tasks. Built on AutoGen AgentChat. | Documentation |
| n8n | Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations. | Documentation | GitHub |
| Provider | Description | Links |
|---|---|---|
| OpenAI | The official Python library for the OpenAI API. | GitHub |
| OpenAI Agents | The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. | GitHub |
| Hugging Face Models | Open LLM models by Meta, Mistral, and hundreds of other providers. | Hugging Face |
| Anthropic Claude | The official Python library for the Anthropic API. | GitHub |
| Meta Llama Models | The open-source AI model you can fine-tune, distill, and deploy anywhere. | Meta |
| Google Gemini | The official Python library for the Google Gemini API. | GitHub |
| Ollama | Get up and running with large language models locally. | GitHub |
| Grok | The official Python library for the Groq API. | GitHub |
| Project | Description | Links |
|---|---|---|
| DeepSeek-R1 | 1st generation reasoning model that competes with OpenAI o1. | Paper | GitHub |
| Qwen | Alibaba's Qwen models. | GitHub |
| Llama | Meta's foundational models. | GitHub |
| Project | Description | Links |
|---|---|---|
| LangChain | A framework for developing applications powered by large language models (LLMs). | Documentation | GitHub | Cookbook |
| LangGraph | A library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows. | Documentation | Tutorials |
| LangSmith | A platform for building production-grade LLM applications. It allows you to closely monitor and evaluate your application, so you can quickly and confidently ship. | Documentation | GitHub |
| Project | Description | Links |
|---|---|---|
| LangGraph Prebuilt Agents | Prebuilt agents for LangGraph (includes 3rd Party LangGraph extensions). | Documentation |
| AI Data Science Team | An AI-powered data science team of agents to help you perform common data science tasks 10X faster. | GitHub |
| LangMem | LangMem provides tooling to extract important information from conversations, optimize agent behavior through prompt refinement, and maintain long-term memory. | GitHub |
| LangGraph Supervisor | A Python library for creating hierarchical multi-agent systems using LangGraph. | GitHub |
| Open Deep Research | An open-source assistant that automates research and produces customizable reports on any topic. | GitHub |
| LangGraph Reflection | This prebuilt graph is an agent that uses a reflection-style architecture to check and improve an initial agent's output. | GitHub |
| LangGraph Big Tool | Create LangGraph agents that can access large numbers of tools. | GitHub |
| LangGraph CodeAct | This library implements the CodeAct architecture in LangGraph. This architecture is used by Manus.im. | GitHub |
| LangGraph Swarm | Create swarm-style multi-agent systems using LangGraph. Agents dynamically hand off control to one another based on their specializations. | GitHub |
| LangChain MCP Adapters | Provides a lightweight wrapper that makes Anthropic Model Context Protocol (MCP) tools compatible with LangChain and LangGraph. | GitHub |
| Project | Description | Links |
|---|---|---|
| Huggingface | An open-source platform for machine learning (ML) and artificial intelligence (AI) tools and models. | Documentation |
| Transformers | Transformers provides APIs and tools to easily download and train state-of-the-art pretrained models. | Documentation |
| Tokenizers | Tokenizers provides an implementation of today’s most used tokenizers, with a focus on performance and versatility. | Documentation | GitHub |
| Sentence Transformers | Sentence Transformers (a.k.a. SBERT) is the go-to Python module for accessing, using, and training state-of-the-art text and image embedding models. | Documentation |
| smolagents | The simplest framework out there to build powerful agents. | Documentation | GitHub |
| Project | Description | Links |
|---|---|---|
| ChromaDB | The fastest way to build Python or JavaScript LLM apps with memory! | GitHub |
| FAISS | A library for efficient similarity search and clustering of dense vectors. | GitHub |
| Qdrant | High-Performance Vector Search at Scale. | Website |
| Pinecone | The official Pinecone Python SDK. | GitHub |
| Milvus | Milvus is an open-source vector database built to power embedding similarity search and AI applications. | GitHub |
| SQLite Vec | A vector search SQLite extension that runs anywhere! | GitHub |
| Project | Description | Links |
|---|---|---|
| PyTorch | PyTorch is an open-source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing. | Website |
| TensorFlow | TensorFlow is an open-source machine learning library developed by Google. | Website |
| JAX | Google’s library for high-performance computing and automatic differentiation. | GitHub |
| tinygrad | A minimalistic deep learning library with a focus on simplicity and educational use, created by George Hotz. | GitHub |
| micrograd | A simple, lightweight autograd engine for educational purposes, created by Andrej Karpathy. | GitHub |
| Project | Description | Links |
|---|---|---|
| Transformers | Hugging Face Transformers is a popular library for Natural Language Processing (NLP) tasks, including fine-tuning large language models. | Documentation |
| Unsloth | Finetune Llama 3.2, Mistral, Phi-3.5 & Gemma 2-5x faster with 80% less memory! | GitHub |
| LitGPT | 20+ high-performance LLMs with recipes to pretrain, finetune, and deploy at scale. | GitHub |
| AutoTrain | No code fine-tuning of LLMs and other machine learning tasks. | GitHub |
| Project | Description | Links |
|---|---|---|
| LangSmith | LangSmith is a platform for building production-grade LLM applications. It allows you to closely monitor and evaluate your application, so you can quickly and confidently ship. | Documentation | GitHub |
| LangWatch | Monitor, Evaluate & Optimize your LLM performance with 1-click. Drag and drop interface for LLMOps platform. | Documentation | GitHub |
| Opik | Opik is an open-source platform for evaluating, testing, and monitoring LLM applications. | GitHub |
| MLflow Tracing and Evaluation | MLflow has a suite of features for LLMs. | MLflow LLM Documentation | Model Tracing | Model Evaluation | GitHub |
| Langfuse | Traces, evals, prompt management, and metrics to debug and improve your LLM application. | Documentation | GitHub |
| Project | Description | Links |
|---|---|---|
| LangChain Document Loaders | LangChain has hundreds of integrations with various data sources to load data from: Slack, Notion, Google Drive, etc. | Documentation |
| Embedchain | Create an AI app on your own data in a minute. | Documentation | GitHub |
| Docling by IBM | Parse documents and export them to the desired format with ease and speed. | GitHub |
| Markitdown by Microsoft | Python tool for converting files and office documents to Markdown. | GitHub |
| DocETL | A system for agentic LLM-powered data processing and ETL. | Documentation | GitHub |
| Unstructured.io | Unstructured provides a platform and tools to ingest and process unstructured documents for Retrieval Augmented Generation (RAG) and model fine-tuning. | Documentation | GitHub | Paper |
| Project | Description | Links |
|---|---|---|
| Gitingest | Turn any Git repository into a simple text ingest of its codebase. This is useful for feeding a codebase into any LLM. | GitHub |
| Crawl4AI | Open-source, blazing-fast, AI-ready web crawling tailored for LLMs, AI agents, and data pipelines. | Documentation | GitHub |
| GPT Crawler | Crawl a site to generate knowledge files to create your own custom GPT from a URL. | Documentation | GitHub |
| ScrapeGraphAI | A web scraping Python library that uses LLM and direct graph logic to create scraping pipelines for websites and local documents (XML, HTML, JSON, Markdown, etc.). | Documentation | GitHub |
| Scrapling | 🕷️ Undetectable, Lightning-Fast, and Adaptive Web Scraping for Python. | GitHub |
| Firecrawl | 🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl, and extract with a single API. | Documentation | GitHub |
| Project | Description | Links |
|---|---|---|
| LangChain Agents | Build agents with LangChain. | Documentation |
| LangChain Tools | Integrate Tools (Function Calling) with LangChain. | Documentation |
| smolagents | The simplest framework out there to build powerful agents. | Documentation | GitHub |
| Agentarium | Open-source framework for creating and managing simulations populated with AI-powered agents. It provides an intuitive platform for designing complex, interactive environments where agents can act, learn, and evolve. | GitHub |
| AutoGen AgentChat | Build applications quickly with preset agents. | Documentation |
| Project | Description | Links |
|---|---|---|
| Agno (Formerly Phidata) | An open-source platform to build, ship and monitor agentic systems. | Documentation | GitHub |
| Composio | Integration Platform for AI Agents & LLMs (works with LangChain, CrewAI, etc). | Documentation | GitHub |
| Project | Description | Links |
|---|---|---|
| Mem0 | Mem0 is a self-improving memory layer for LLM applications, enabling personalized AI experiences that save costs and delight users. | Documentation | GitHub |
| Memary | Open Source Memory Layer For Autonomous Agents. | GitHub |
| Memobase | 1st User Profile-Based Memory for GenAI Apps. | Documentation | GitHub |
| Project | Description | Links |
|---|---|---|
| LangWatch | Monitor, Evaluate & Optimize your LLM performance with 1-click. Drag and drop interface for LLMOps platform. | Documentation | GitHub |
| MLflow | MLflow Tracing for LLM Observability. | Documentation |
| Agenta | Open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM Observability all in one place. | Documentation |
| LLMOps | Best practices designed to support your LLMOps initiatives. | GitHub |
| Helicone | Open-source LLM observability platform for developers to monitor, debug, and improve production-ready applications. | Documentation | GitHub |
| Project | Description | Links |
|---|---|---|
| E2B | E2B is an open-source runtime for executing AI-generated code in secure cloud sandboxes. Made for agentic & AI use cases. | Documentation | GitHub |
| AutoGen Docker Code Executor | Executes code through a command line environment in a Docker container. | Documentation |
| Project | Description | Links |
|---|---|---|
| Browser-Use | Make websites accessible for AI agents. | Documentation | GitHub |
| WebUI | Built on Gradio and supports most of browser-use functionalities. This UI is designed to be user-friendly and enables easy interaction with the browser agent. |
GitHub |
| WebRover | WebRover is an AI-powered web agent that combines autonomous browsing with advanced research capabilities. | GitHub |
| Project | Description | Links |
|---|---|---|
| Microsoft PromptWizard | Task-Aware Prompt Optimization Framework. | GitHub |
| Promptify | A library for prompt engineering that simplifies NLP tasks (e.g., NER, classification) using LLMs like GPT. | GitHub |
| AutoPrompt | A framework for prompt tuning using Intent-based Prompt Calibration. | GitHub |
| Project | Description | Links |
|---|---|---|
| AI Suite | Simple, unified interface to multiple Generative AI providers. | GitHub |
| AdalFlow | The library to build & auto-optimize LLM applications, from Chatbot, RAG, to Agent by SylphAI. | GitHub |
| dspy | DSPy: The framework for programming—not prompting—foundation models. | GitHub |
| LiteLLM | Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format. | GitHub |
| AI Agent Service Toolkit | Full toolkit for running an AI agent service built with LangGraph, FastAPI, and Streamlit. | App | GitHub |
| Microsoft Tiny Troupe | LLM-powered multiagent persona simulation for imagination enhancement and business insights. | GitHub |
| Distributed Llama | Connect home devices into a powerful cluster to accelerate LLM inference. | GitHub |
| Project | Description | Links |
|---|---|---|
| LLM tools for R | An ongoing roundup of useful developments in the LLM/genAI space, with a specific focus on R. | Website |
| Project | Description | Links |
|---|---|---|
| ellmer | Makes it easy to use large language models (LLM) from R. It supports a wide variety of LLM providers and implements a rich set of features including streaming outputs, tool/function calling, structured data extraction, and more. | Website |
| hellmer | Enables sequential and parallel batch processing for chat models supported by ellmer. | Documentation |
| chores | Provides a library of ergonomic LLM assistants designed to help you complete repetitive, hard-to-automate tasks quickly. | Documentation |
| ggpal | LLM assistant specifically for ggplot2. | GitHub |
| gander | A high-performance and low-friction chat experience for data scientists in RStudio and Positron–sort of like completions with Copilot, but it knows how to talk to the objects in your R environment. | Documentation |
| Project | Description | Links |
|---|---|---|
| mall | Run multiple LLM predictions against a data frame. The predictions are processed row-wise over a specified column. | Website |
| lang | Use an LLM to translate a function’s help documentation on-the-fly. | Website |
| chattr | An interface to LLMs (Large Language Models). | Website |
| Project | Description | Links |
|---|---|---|
| chatgpt | Interface with models from OpenAI to get assistance while coding. | GitHub |
| groqR | Brings GroqCloud’s lightning-fast LPU (Language Processing Unit) technology directly to your R workflow. | Website |
| gptstudio | Easily incorporate use of large language models (LLMs) into their project workflows. | Website |
| llmR | R interface to various Large Language Models (LLMs) such as OpenAI’s GPT models, Azure’s language models, Google’s Gemini models, or custom local servers. | GitHub |
| tidychatmodels | A simple interface to chat with your favorite AI chatbot from R, inspired by tidymodels where you can easily swap out any ML model for another one but keep the other parts of the workflow the same. | Website |
| tidyllm | Access various large language model APIs, including Anthropic Claude, OpenAI, Google Gemini, Perplexity, Groq, Mistral, and local models via Ollama or OpenAI-compatible APIs. | Website |
| gemini.R | R package to use Google’s Gemini via API on R. | Website |
| PerplexR | Intuitive interface for leveraging the capabilities of the Perplexity API Pro subscription. | GitHub |
| ollama-r | The easiest way to integrate R with Ollama, which lets you run language models locally on your own machine. | Website |
| rollama | Wraps the Ollama API, which allows you to run different LLMs locally and create an experience similar to ChatGPT/OpenAI’s API. | Website |
| Project | Description | Links |
|---|---|---|
| Ragnar | Helps implement Retrieval-Augmented Generation (RAG) workflows. | Website |
| Service | Description | Links |
|---|---|---|
| AWS Bedrock | Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon. | AWS Bedrock |
| Microsoft Azure AI Services | Azure AI services help developers and organizations rapidly create intelligent, cutting-edge, market-ready, and responsible applications with out-of-the-box and prebuilt and customizable APIs and models. | Microsoft Azure AI Services |
| Google Vertex AI | Vertex AI is a fully-managed, unified AI development platform for building and using generative AI. | Google Vertex AI |
| NVIDIA NIM | NVIDIA NIM™, part of NVIDIA AI Enterprise, provides containers to self-host GPU-accelerated inferencing microservices for pretrained and customized AI models across clouds, data centers, and workstations. | NVIDIA NIM |
| Project | Description | Links |
|---|---|---|
| LangChain Cookbook | Example code for building applications with LangChain, with an emphasis on more applied and end-to-end examples. | GitHub |
| LangGraph Examples | Example code for building applications with LangGraph. | GitHub |
| Llama Index Examples | Example code for building applications with Llama Index. | GitHub |
| Streamlit LLM Examples | Streamlit LLM app examples for getting started. | GitHub |
| Project | Description | Links |
|---|---|---|
| Amazon Bedrock Workshop | Introduces how to leverage foundation models (FMs) through Amazon Bedrock. | GitHub |
| Project | Description | Links |
|---|---|---|
| Microsoft Generative AI for Beginners | 21 lessons teaching everything you need to know to start building Generative AI applications. | GitHub |
| Microsoft Intro to Generative AI Course | A comprehensive introduction to Generative AI concepts and applications. | Microsoft Learn |
| Azure Generative AI Examples | Prompt Flow and RAG examples for use with the Microsoft Azure Cloud platform. | GitHub |
| Project | Description | Links |
|---|---|---|
| Google Vertex AI Examples | Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop, and manage machine learning and generative AI workflows using Google Cloud Vertex AI. | GitHub |
| Google Generative AI Examples | Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI. | GitHub |
| Project | Description | Links |
|---|---|---|
| NVIDIA NIM Anywhere | An entry point for developing with NIMs that natively scales out to full-sized labs and up to production environments. | GitHub |
| NVIDIA NIM Deploy | Reference implementations, example documents, and architecture guides that can be used as a starting point to deploy multiple NIMs and other NVIDIA microservices into Kubernetes and other production deployment environments. | GitHub |
| Newsletter | Description | Links |
|---|---|---|
| Python AI/ML Tips | Free newsletter on Generative AI and Data Science. | GitHub |
| unwind ai | Latest AI news, tools, and tutorials for AI Developers. | Website |
| Workshop | Description | Links |
|---|---|---|
| Generative AI Data Scientist Workshops | Get free training on how to build and deploy Generative AI / ML Solutions. | Register for the next free workshop here. |
| Course | Description | Links |
|---|---|---|
| 8-Week AI Bootcamp To Become A Generative AI-Data Scientist | Focused on helping you become a Generative AI Data Scientist. Learn how to build and deploy AI-powered data science solutions using LangChain, LangGraph, Pandas, Scikit Learn, Streamlit, AWS, Bedrock, and EC2. | Enroll Here |