Data science and AI are not just buzzwords. They are the driving forces behind innovation in sectors like healthcare, finance, transportation, and entertainment. Their ability to automate tasks, enhance decision-making, and create new products and services underscores the increasing demand for these skills.
Artificial Intelligence and data science are reshaping the world around us, including the ways of teaching and learning the same.
CloudLabs x Databricks University Alliance
With the goal to redefine Data and AI Education, CloudLabs and Databricks University Alliance have joined forces, presenting Databricks Lab Environment.
The Databricks Lab Environment helps drive innovation across the data and AI community, ensuring access to an interactive learning space consisting of secure, budget-friendly, and tailor-made hands-on labs suitable for teaching and learning – Data, AI, and Cloud skills.
Who Is It For?
The Databricks Labs are flexible, tailor-made, and easy to access, suiting the interest of everyone keen to upscale their knowledge in fields of Data, AI, and Cloud technology.
Databricks Labs Environment For Academics Various use cases
Faculty Fully managed Databricks Lab Environment seamlessly integrates with existing course structure across different departments of an institution.
Learners Learners can continue with Databricks Lab Environment for educational purposes. The hands-on labs are easy to deploy and flexible, which one can access at their convenience.
Professionals Professionals can get access to customized Databricks Lab Environment on request and continue with their learning experience.
Databricks Lab Environment – Offerings
Driving innovation in the field of Data and AI, the Databricks Lab Environment is available in 5 different plans with multiple features enabled. Follow the table below for an overview of the whole space:
Databricks Lab Environment Configuration SKUs/ Features Available | Access to Shared Workspace | All-Purpose Compute Cluster | Cluster Capacity | Instructor Permissions | Student Permissions | SQL Warehouse Capacity |
---|---|---|---|---|---|---|
CPU Cluster | i3.xlarge | Can Manage | Can Restart | |||
CPU Cluster & SQL Warehouse | i3.xlarge | Can Manage | Can Restart | 2X-Small | ||
GPU Cluster | Can Manage | Can Restart | ||||
SQL Warehouse | g4dn.xlarge | Can Manage | Can Use | 2X-Small | ||
GPU Cluster & SQL Warehouse | g4dn.xlarge | Can Manage | Can Use | 2X-Small |
Additionally, you also get access to a heap of advanced features within the Databricks Lab environment.
- Data Engineering
- Vector Search
- Databricks Assistant
- Machine Learning
We also provide customization on lab duration! Reach out to us at psm-cloudlabs@spektrasystems.com for further assistance. Otherwise, with regular lab environments, you get
- 2 months (1460 hours) Lab Duration & 72 Hours Cluster Uptime
- 4 months (2920 hours) Lab Duration & 136 Hours Cluster Uptime
Benefits of Databricks Lab Environment
With access to Databricks Lab Environments, educators can focus more on priority tasks rather than investing time in repetitive content. Thus making the teaching experience easier and more efficient. Continue with the reading task to get an in-depth overview of the benefits included:
- Fixed-Cost Databricks Lab Environment: Labs within Databricks Lab Environment are available for a fixed cost and come fully managed.
- Fixed Time on CPU/GPU Lab Environments: We offer scheduled CPU/GPU timings on individual Databricks Lab Environments. Extensions are also available on demand.
- Independent Access: Pre-existing Databricks or Cloud Accounts are not mandatory to be a part of the Databricks Lab environment experience. You can sign up independently with your Google, Microsoft, or CloudLabs account.
- Unlimited DBU Credits: The lab environments come equipped with unlimited DBU credits, assuring seamless operations ahead.
- Easy to Access Lab Spaces: Labs within Databricks Lab Environment are easy to deploy. Participants can start accessing the assigned lab space over any web browser and a stable internet connection.
- Advanced Admin Capabilities: Admins/instructors can create catalogs & manage permissions for individual learners. With Shadow VM, they can access and manage student environments.
- Multi-platform Flexibility: Databricks labs are hosted in AWS, which, on request, can be hosted on Azure & GCP as well.
- 24×7 Support: Our dedicated customer care executives are available 24 x 7, offering quick resolution to lab-related complexities.
Final Words
CloudLabs is consistent in its commitment to revolutionizing the education sector. With Databricks Lab Environment, we move forward towards providing accessible, practical, and flexible lab spaces, driving innovation and success in the fields of AI, Data Science, and Cloud Computing.
For a quick overview of the Databricks lab experience, check out
To book a demo with us, click on – Book a Demo.
Manesh Raveendran is the CEO and Founder of Spektra Systems. He is known for his thought leadership and for crafting end-to-end technology solutions in cloud marketplaces. His passion lies in harnessing the potential of public cloud partnerships to drive business growth. With over two decades of experience, Manesh collaborates with global CXOs, designing innovative cloud solutions and services to drive customer success and address critical business challenges.