Generative AI for Data Engineers Specialization
A comprehensive intermediate-level program that provides practical insights into applying generative AI in data engineering, perfect for professionals looking to integrate AI tools into their workflows.
What you will learn in Generative AI for Data Engineers Specialization Course
Understand the fundamentals of generative AI and its distinction from discriminative AI.
Master prompt engineering techniques to effectively guide generative AI models.
Apply generative AI tools in data engineering tasks such as data generation, augmentation, anonymization, and infrastructure setup.
Implement generative AI in building data pipelines, ETL workflows, and querying databases.
Gain hands-on experience through labs and projects to solidify your understanding and skills.
Program Overview
Course 1: Generative AI: Introduction and Applications
⏳ 7 hours
- Learn the basics of generative AI, its capabilities, and real-world use cases across various industries.
Course 2: Generative AI: Prompt Engineering Basics
⏳ 7 hours
- Delve into prompt engineering concepts, exploring techniques like zero-shot and few-shot prompting, and tools to create effective prompts.
Course 3: Generative AI: Elevate Your Data Engineering Career
⏳ 13 hours
- Apply generative AI tools and techniques in data engineering processes such as data warehouse schema design, infrastructure setup, data pipelines, and ETL workflows.
Get certificate
Job Outlook
Completing this specialization prepares you for roles such as Data Engineer, Data Analyst, or Business Intelligence Analyst.
The skills acquired are applicable across various industries that utilize data engineering and AI technologies.
Enhance your employability by gaining practical experience in applying generative AI to data engineering workflows.
- No prior experience required, making it accessible to beginners.
- Self-paced learning with a flexible schedule.
- Taught by experienced instructors from IBM.
- Provides a holistic view of integrating generative AI into data engineering.
- Requires consistent time commitment to complete all courses within the recommended timeframe.
- Some advanced AI topics may not be covered in depth.
Specification: Generative AI for Data Engineers Specialization
|
