Average Ratings 3 Ratings

Total
ease
features
design
support

Average Ratings 18 Ratings

Total
ease
features
design
support

Description

Transform into a cloud specialist through practical experience with our hands-on training. We provide you with temporary access to Google Cloud Platform and Amazon Web Services, allowing you to engage with authentic systems instead of mere simulations. Our offerings range from brief 30-minute labs to extensive multi-day courses, catering to all levels from beginners to advanced users, with options for instructor-led sessions or self-paced learning. Topics include machine learning, security, infrastructure, application development, and several others, ensuring comprehensive coverage of essential areas. Qwiklabs delivers immersive lab environments that enable developers and IT professionals to gain real-world experience with top-tier cloud platforms and tools. By completing various quests, you can earn skill badges, create and manage virtual machines in Compute Engine, and deploy applications using Google Kubernetes Engine, among other tasks. You will engage in hands-on labs that explore crucial services like Cloud Storage, Stackdriver, and Cloud Functions, equipping you with the expertise to thrive in the cloud landscape. This unique approach not only enhances your skills but also prepares you for real-world challenges in cloud technology.

Description

Train in Data is a specialized online school offering intermediate to advanced courses in Python programming, data science, and machine learning designed for serious learners. Led by industry professionals with extensive experience developing and deploying machine learning models in production environments, the platform provides practical, hands-on instruction. Its teaching philosophy centers on mastering the theory behind machine learning before applying it through Python coding exercises. The courses help students build a strong, intuitive understanding of complex concepts while reinforcing learning through real coding practice. Train in Data delivers a comprehensive learning experience by combining theoretical knowledge, practical coding skills, and troubleshooting techniques. This prepares learners to confidently tackle real-world machine learning projects from start to finish. The platform is ideal for those looking to deepen their expertise and transition from theory to practice. Ultimately, it empowers students to become proficient machine learning practitioners.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
Google Cloud Platform Yes 
Jupyter Notebook No 
JupyterHub No 
Matplotlib No 
NumPy No 
Python No 
pandas No 
scikit-learn No 

Integrations

Amazon Web Services (AWS) No 
Google Cloud Platform No 
Jupyter Notebook Yes 
JupyterHub Yes 
Matplotlib Yes 
NumPy Yes 
Python Yes 
pandas Yes 
scikit-learn Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$15
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Qwiklabs

Founded

2012

Country

United States

Website

www.qwiklabs.com

Vendor Details

Company Name

Train in Data

Founded

2019

Country

Germany

Website

trainindata.com

Product Features

Technical Skills Development

Analytics No 
Career Coaching No 
Discussions No 
Exercises and Projects No 
Offline Usage No 
Quizzes & Assessments No 
Videos No 

Product Features

Technical Skills Development

Analytics No 
Career Coaching No 
Discussions No 
Exercises and Projects No 
Offline Usage No 
Quizzes & Assessments No 
Videos No 

Alternatives

Alternatives