Explore AI for Data Engineering

Unlock the power of AI in the world of data engineering with this comprehensive learning path. This course series is designed for data professionals who want to harness the transformative potential of artificial intelligence in their work. Whether you're looking to enhance your current role or pivot into AI-driven data engineering, this learning path equips you with the knowledge and skills to thrive in the evolving landscape of data and AI.

Build a foundation in AI relevant to data engineering.
Harness the power of generative AI in your data workflows.
Explore vector databases through practical exercises.

Syllabus

Courses under this program:
Course 1: AI Fundamentals for Data Professionals
-Discover the fundamental skills, tools, and concepts of AI in this course designed for data professionals.

Course 2: Data-Centric AI: Best Practices, Responsible AI, and More
-Learn how AI is shifting from a model-centric approach to a data-centric paradigm, where data serves as the bedrock of all AI endeavors.

Course 3: Using AI to Improve Ops for Your Data Organization
-This course demonstrates how to implement AI strategies in order to improve operations, efficiency, and productivity at data-centric organizations.

Course 4: Generative AI for Data Engineering: ChatGPT Power Tips
-Learn to harness ChatGPT for efficient data engineering, from code generation to workflow optimization in PySpark and Databricks.

Course 5: Introduction to AI-Native Vector Databases
-Learn how data and AI professionals can optimize data systems using AI.

Course 6: Vector Databases in Practice: Deep Dive
-Go beyond the basics of vector databases by building a database and app from scratch, and learn key considerations along the way.

Course 7: Advanced RAG Applications with Vector Databases
-Discover cutting-edge methods to perform retrieval-augmented generation (RAG) with a vector database.