Ratings and Reviews 15 Ratings
Ratings and Reviews 3 Ratings
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Teradata VantageCloudTeradata VantageCloud: The Complete Cloud Analytics and AI Platform VantageCloud is Teradata’s all-in-one cloud analytics and data platform built to help businesses harness the full power of their data. With a scalable design, it unifies data from multiple sources, simplifies complex analytics, and makes deploying AI models straightforward. VantageCloud supports multi-cloud and hybrid environments, giving organizations the freedom to manage data across AWS, Azure, Google Cloud, or on-premises — without vendor lock-in. Its open architecture integrates seamlessly with modern data tools, ensuring compatibility and flexibility as business needs evolve. By delivering trusted AI, harmonized data, and enterprise-grade performance, VantageCloud helps companies uncover new insights, reduce complexity, and drive innovation at scale.
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Vertex AICompletely managed machine learning tools facilitate the rapid construction, deployment, and scaling of ML models tailored for various applications. Vertex AI Workbench seamlessly integrates with BigQuery Dataproc and Spark, enabling users to create and execute ML models directly within BigQuery using standard SQL queries or spreadsheets; alternatively, datasets can be exported from BigQuery to Vertex AI Workbench for model execution. Additionally, Vertex Data Labeling offers a solution for generating precise labels that enhance data collection accuracy. Furthermore, the Vertex AI Agent Builder allows developers to craft and launch sophisticated generative AI applications suitable for enterprise needs, supporting both no-code and code-based development. This versatility enables users to build AI agents by using natural language prompts or by connecting to frameworks like LangChain and LlamaIndex, thereby broadening the scope of AI application development.
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Windsurf EditorWindsurf is an innovative IDE built to support developers with AI-powered features that streamline the coding and deployment process. Cascade, the platform’s intelligent assistant, not only fixes issues proactively but also helps developers anticipate potential problems, ensuring a smooth development experience. Windsurf’s features include real-time code previewing, automatic lint error fixing, and memory tracking to maintain project continuity. The platform integrates with essential tools like GitHub, Slack, and Figma, allowing for seamless workflows across different aspects of development. Additionally, its built-in smart suggestions guide developers towards optimal coding practices, improving efficiency and reducing technical debt. Windsurf’s focus on maintaining a flow state and automating repetitive tasks makes it ideal for teams looking to increase productivity and reduce development time. Its enterprise-ready solutions also help improve organizational productivity and onboarding times, making it a valuable tool for scaling development teams.
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What is Train in Data?
Train in Data is a premier online school dedicated to helping learners master intermediate and advanced machine learning through in-depth Python programming and data science courses. Taught by industry experts who have successfully developed, optimized, and deployed machine learning models in enterprise production settings, the curriculum is designed to bridge theory with practical application. The platform’s unique approach ensures students first develop a strong, intuitive grasp of fundamental machine learning concepts, understanding not just the "how" but the "why." Following theory lessons, students engage in hands-on Python coding, reinforcing their learning and gaining the ability to implement algorithms and troubleshoot issues effectively. Train in Data offers a holistic learning journey, covering theory, coding, and problem-solving skills essential for managing real-world projects end-to-end. The courses focus on providing learners with the confidence and expertise required to design, optimize, and deploy machine learning models in professional environments. Beyond technical skills, the platform fosters critical thinking and problem-solving capabilities. Train in Data’s structured yet flexible curriculum makes it accessible to dedicated learners aiming to advance their careers in data science and machine learning. The school prioritizes delivering practical knowledge that is immediately applicable in industry roles. Ultimately, Train in Data prepares students to become capable, self-sufficient machine learning practitioners ready to excel in the evolving tech landscape.
What is Qwiklabs?
Become a cloud expert through our practical, hands-on training that immerses you in real-world scenarios. We offer temporary access to leading platforms such as Google Cloud Platform and Amazon Web Services, enabling you to work with actual systems instead of just theoretical exercises. Our diverse program includes short 30-minute labs and in-depth multi-day courses, catering to participants at all skill levels, from novices to seasoned professionals, with choices for both instructor-led training and self-paced learning. You can explore a variety of subjects, including machine learning, security, infrastructure, and application development, ensuring that essential topics are thoroughly addressed. Qwiklabs provides engaging lab environments that allow developers and IT professionals to gain valuable experience with premier cloud technologies and tools. As you complete different quests, you will earn skill badges, manage virtual machines in Compute Engine, and deploy applications through Google Kubernetes Engine, among other crucial tasks. Additionally, you will partake in hands-on labs that delve into important services such as Cloud Storage, Stackdriver, and Cloud Functions, arming you with the knowledge needed to excel in the cloud environment. This innovative method not only sharpens your abilities but also equips you to tackle real-life challenges in the ever-evolving field of cloud technology, ultimately enhancing your career opportunities.
Integrations Supported
Amazon Web Services (AWS)
Google Cloud Platform
Jupyter Notebook
JupyterHub
Matplotlib
NumPy
Python
pandas
scikit-learn
Integrations Supported
Amazon Web Services (AWS)
Google Cloud Platform
Jupyter Notebook
JupyterHub
Matplotlib
NumPy
Python
pandas
scikit-learn
API Availability
Has API
API Availability
Has API
Pricing Information
$15
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Train in Data
Date Founded
2019
Company Location
Germany
Company Website
trainindata.com
Company Facts
Organization Name
Qwiklabs
Date Founded
2012
Company Location
United States
Company Website
www.qwiklabs.com
Categories and Features
Technical Skills Development
Analytics
Career Coaching
Discussions
Exercises and Projects
Offline Usage
Quizzes & Assessments
Videos
Categories and Features
Technical Skills Development
Analytics
Career Coaching
Discussions
Exercises and Projects
Offline Usage
Quizzes & Assessments
Videos
