Generative AI for Data Engineering

IBM via edX Professional Certificate

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Provider

edX Professional Certificate
Pricing

$147.00
Languages

English
Certificate

Certificate Available
Level

Beginner

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Overview

Gartner predicts that through 2027, generative AI will require 80% of the engineering workforce to upskill. Data engineers without AI skills will likely face challenges in career advancement.

Data Engineering is all about efficient data collection, generation, transformation, and storage. Generative AI tools make data engineering tasks more efficient, effective, and convenient in an ETL pipeline.

You'll begin by examining the differences that distinguish generative AI from discriminative AI. Then, analyze real-world generative AI use cases and explore popular generative AI models and tools for text, code, image, audio, and video generation.

Learn about generative AI prompt engineering concepts and uses. Put these concepts to practice when you gain job-ready experience with prompting techniques, including zero-shot, and few-shot, and explore prompt engineering approaches and commonly used prompt engineering tools, including IBM Watsonx, Prompt Lab, Spellbook, and Dust.

Each course provides conceptual learning, hands-on labs, and graded assessments. You'll complete this program with an industry-recognized certificate ready to share with your current employer and prospective employers.

This three-course program is designed for Data Engineers and anyone interested in using generative AI in Data Engineering to upskill their career. Sign up now!

Syllabus

Courses under this program:
Course 1: Introduction to Generative AI

In this course, you will learn about the fundamentals of generative AI. You will explore the capabilities and applications of generative AI across different domains. You will explore the capabilities and features of common generative AI models and tools.

Course 2: Introduction to Prompt Engineering

Learn to craft effective generative AI prompts that produce the results you’re looking for quickly.

Course 3: Mastering Generative AI for Data Engineering

Learn to apply AI models to enhance productivity for tasks like architecture design, database querying, ETL workflows, and data analysis. Explore ethical considerations and prove your skills with a real-world project. Unlock generative AI skills for data engineering. Boost your skills to revolutionize data pipelines, boost productivity, and stay ahead in the rapidly evolving tech landscape. Complete a shareable project and earn an industry certificate. Enroll now.

Courses

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3 weeks, 1-3 hours a week, 1-3 hours a week
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As generative AI (GenAI) reshapes how we work and complete our tasks, understanding how to use it effectively is now essential. Writing effective prompts is key to directing GenAI models correctly and refining their output to get the results you’re looking for.

This course enables professionals, executives, students, and AI enthusiasts to master prompt engineering and unlock the extraordinary power of tools like ChatGPT.

You’ll learn practical techniques, structured methods, and best practices for crafting strong prompts. You’ll explore zero-shot and few-shot prompting to boost reliability and output quality. Plus, you’ll look at advanced methods such as the Interview Pattern, Chain-of-Thought, and Tree-of-Thought to produce accurate, context-aware responses.

You’ll get hands-on in labs and projects, gaining practical experience in multimodal prompting, the playoff method, and image generation. You’ll also practice blending text and visuals and evaluating AI outputs for precision and usefulness.

As you learn, podcasts, dialogues, and discussions will link theory to real-world scenarios, and expert insights will highlight strategies for effective prompt use. Then, in a final project and graded assessments, you’ll apply the techniques you’ve learned to reinforce the practical, job-ready skills you have gained.

Enroll today to master prompt engineering and unlock the extraordinary potential that GenAI can bring to your work.
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4 weeks, 3-5 hours a week, 3-5 hours a week
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Generative AI skills are in demand, with Ascend.io reporting that 89% of respondents reporting using generative AI in some capacity. ZipRecruiter reports that data engineers with generative AI skills earn an average of USD 115,000 annually, with top-end salaries of USD 179,000 annually.

Data engineering is responsible for building strong data pipelines, managing data infrastructure, and ensuring high-quality data evaluation.

This course is suitable for existing and aspiring data engineers, data warehousing specialists, and other data professionals such as data analysts, data scientists, and BI analysts.

First, learn about the current impact of generative AI on data engineering.

Throughout the course, you will assume the role of a data engineer and gain experience using generative AI to enhance productivity by introducing innovative ways to deliver projects.

You will learn how to use and apply generative models for tasks such as architecture design, database querying, data warehouse schema design, data augmentation, data pipelines, ETL workflows, data analysis and mining, data lake house, and data repositories. You will also explore challenges and ethical considerations associated with using Generative AI.

To complete this course, you'll demonstrate your new generative AI skills in a real-world, shareable, hands-on data engineering project.

After you successfully complete your final quiz, you will receive your certificate, and you can request your Badge. You can share both your project and certificate with your current or prospective employers.