What you will learn in Generative AI for Data Engineers Specialization Course
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Understand the fundamentals of generative AI and its distinction from discriminative AI.
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Master prompt engineering techniques to effectively guide generative AI models.
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Apply generative AI tools in data engineering tasks such as data generation, augmentation, anonymization, and infrastructure setup.
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Implement generative AI in building data pipelines, ETL workflows, and querying databases.
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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.
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Job Outlook
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Completing this specialization prepares you for roles such as Data Engineer, Data Analyst, or Business Intelligence Analyst.
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The skills acquired are applicable across various industries that utilize data engineering and AI technologies.
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Enhance your employability by gaining practical experience in applying generative AI to data engineering workflows.
Explore More Learning Paths
Enhance your data engineering and AI skills with these specialized programs designed to help you build, manage, and optimize data pipelines for advanced AI applications.
Related Courses
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DeepLearning.AI Data Engineering Professional Certificate Course – Gain practical experience in building robust data engineering solutions to support AI and machine learning projects.
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Introduction to Data Engineering by IBM – Learn the fundamentals of data engineering, including database management, ETL processes, and workflow automation.
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Data Engineering Foundations Specialization Course – Master the core concepts of data engineering to design, build, and maintain scalable data systems.
Related Reading
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What Does a Data Engineer Do? – Explore the role of data engineers, key responsibilities, and the skills required to manage data for AI and analytics.
