How to use Databricks Lakehouse and Responsible AI

Master the fundamentals of the Databricks Lakehouse platform

On this four-week course, you’ll delve into the Databricks Lakehouse platform to understand its functionality and architecture.

You’ll gain hands-on experience using the platform to develop practical skills in managing large-scale data operations, developing AI solutions, and implementing ethical AI practices.

Armed with these skills, you’ll be able to build robust, responsible AI systems. This will make you a valuable asset in the rapidly evolving field of AI and data science.

Gain an understanding of data transformation and Data Live tables

You’ll delve into data transformation and pipelines to understand how to develop efficient data pipelines using Data Live tables and Jobs.

Learning the best practices, you’ll discover how to harness data transformation for effective decision-making.

Unpack responsible Generative AI

As the AI industry continues to evolve, it’s important to consider how users can do this responsibly.

On week three of the course, you’ll explore AI ethics in detail and unpack real-world examples so you can evaluate the ethical implications of GenAI technologies.

Gain fundamental skills in Unity Catalog

Finally, you’ll learn how to use data governance strategies with Unity Catalog to help you master advanced skills in Databricks Lakehouse.

Learning from industry experts and through hands-on exercises, you’ll finish the course with the technical skills and ethical considerations needed in the AI industry.

This course is designed for data professionals, software engineers, and AI enthusiasts looking to master the Databricks Lakehouse Platform and explore responsible AI practices.

It’s ideal for those seeking to advance their careers in data engineering, machine learning, and AI ethics.

The course serves professionals in tech, finance, healthcare, and research sectors who want to implement scalable data solutions and understand the ethical implications of generative AI.

• Databricks Lakehouse Platform Fundamentals
• Databricks Lakehouse Platform
• Data Transformation with Apache Spark
• Data Management with Delta Lake
• Data Transformation and Pipelines
• Data Pipelines with Delta Live Tables
• Workloads with Jobs
• Data Access with Unity Catalog
• Responsible Generative AI
• AI Ethics of Generative Models
• Evaluating Real-World Performance of LLMs
• Exploring Production LLM Workflows
• Local LLMOps
• Getting Started with local models
• Getting Started with Rust Candle
• Using Rust Candle