# MLOps

Google Cloud's Machine Learning Engineer Learning Path is a curated set of online courses and labs designed to equip learners with practical hands-on experience in Google Cloud technologies. It covers key skills in designing, building, deploying, optimizing, running, and maintaining machine learning systems. Upon completion of this learning path, learners can further pursue the Google Cloud Machine Learning Engineer certification, laying a solid foundation for career advancement.

AIxBlock is a comprehensive on-chain AI platform that integrates a decentralized supercomputer. Its main functions include: - **Data Engine:** Collects, organizes, and annotates data. - **Low-Code MLOps Platform:** Enables easy building and deployment of AI models. - **On-Chain Model Quality Monitoring:** Real-time verification of AI model quality through on-chain consensus mechanism. - **Decentralized Computing Power Market:** Provides a decentralized computing power trading market, saving 90% in computing costs. - **P2P Transactions:** Enables fee-free transactions through peer-to-peer (P2P) network. - **Data Quality Assurance:** Blockchain consensus ensures data quality. - **Secure and Transparent Transactions:** All transactions are recorded securely and transparently on the blockchain. AIxBlock is suitable for AI developers, computational power suppliers, freelancers, and more.

LumiStar AI provides a rich selection of GPU rentals, out-of-the-box AI development environments, multi-machine multi-card distributed training, elastic scaling, and an open image ecosystem to help you embrace the AI revolution.

LangSmith is a unified DevOps platform for developing, collaborating, testing, deploying, and monitoring LLM applications. It supports all stages of the LLM application development lifecycle and provides an end-to-end solution for building LLM applications. Key features include: tracing, prompt engineering, dataset management, automated evaluation, and online deployment. Suitable for developers building AI assistants and ChatGPT applications based on LLMs.

Ploomber Cloud is an online collaborative platform for data scientists and machine learning engineers. It achieves reproducibility for data science projects through version control and environment management, allowing users to easily share code, data, and runtime environments with team members. Key features include: tracking project iteration history; supporting Jupyter and integrated development environments for smooth data science workflows; leveraging Docker and Kubernetes for environment consistency; supporting notebook and script execution and scheduling. This product adopts a subscription-based pricing model and is targeted at enterprise data science teams requiring collaborative work.

Prompt Joy is a tool to help understand and debug LLM (Large Language Model) prompts. Its main features include logging and A/B testing. Logging can record the LLM's requests and responses, making it easy to check the output results. Split testing allows for easy A/B testing to find the best-performing prompts. It is decoupled from specific LLMs and can be used with OpenAI, Anthropic, and other LLMs. It provides APIs for logging and split testing. Built with Node.js + PostgreSQL.

Vertex AI offers an integrated platform and tools for building and deploying machine learning models. It features robust functionalities to expedite the training and deployment of custom models, along with pre-built AI APIs and applications. Key features include: integrated workspace, model deployment and management, MLOps support, etc. It significantly improves the efficiency of data scientists and ML engineers.

Domino Data Lab is a unified, collaborative, and governed end-to-end enterprise AI platform. It allows construction, deployment, and management of AI models in any environment, accessing data, tools, computing, and projects in any environment. By establishing best practices, tracking models in production, and strengthening governance, Domino Data Lab helps enterprises accelerate AI applications, scale AI, while ensuring governance and cost reduction.

IBM Watson Studio is a collaboration platform that enables data scientists, developers, and analysts to create, train, and deploy machine learning models. It supports a variety of data sources, allowing teams to streamline their workflows. With advanced features such as automated machine learning and model monitoring, Watson Studio users can manage their models throughout the entire development and deployment lifecycle.

Lightning AI is a platform based on PyTorch that allows users to easily train and deploy AI models between local machines and cloud environments. It supports the construction of various popular AI models such as large language models, Transformers, and Stable Diffusion. Key features include support for distributed multi-GPU training, built-in MLOps capabilities, and serverless cloud deployment. It is suitable for AI research teams, companies aiming to rapidly develop AI products, and institutions that have GPU resources.

Data Scientist Assistant is your comprehensive MLOps, monitoring, and AI quality & governance solution. It automatically detects changes and trends in accuracy, data size, model drift, runtime, scheduling, and more. Providing a unified view and key metrics, you gain complete insight into your machine learning environment. It also tracks and monitors model performance and data drift to quickly identify accuracy drops and data quality changes. No need to set up or wait for infrastructure configuration; with simple code integration, you have full control over what you send. Configure custom alerts and notifications, and visualize trends and correlations across projects. Get free access as an alpha user.

Orquesta is an AI prompt management tool that provides engineers with tools to manage prompts, including centralized storage, experimentation, personalized customization, and feedback collection. It can help you enrich product functionality and realize the capabilities of AI and LLMs while centralizing and optimizing the lifecycle of prompts.

DataRobot MLOps empowers businesses to maximize the value of artificial intelligence by automating the deployment, optimization, and governance of machine learning applications.

Mystic provides tools and infrastructure that make machine learning delivery fast, simple, scalable, and secure. Our end-to-end software is suitable for businesses of any size and compatible with any cloud platform, setting us apart from other MLOps platforms. Our products include Catalyst solutions, enterprise solutions, and secure, scalable, and high-speed AI deployments.

WhyLabs AI Observability Platform is a real-time monitoring and management platform for AI models and data. It helps users identify data and machine learning issues, achieve continuous improvement, and avoid costly failures. The platform supports monitoring both structured and unstructured data, as well as all types of machine learning models, including LLMs. Users can perform comprehensive data analysis, detect data drift and data quality issues, and receive alerts about differences between training and deployment. WhyLabs AI Observability Platform integrates quickly into existing data pipelines and multi-cloud architectures, supporting the transformation from massive data to actionable real-time insights. Pricing information can be found on the official website.