Prompt Engineering Jobs: Your 2025 Career Guide
January 14, 2025
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Launch your generative AI Data Engineering career. Get job-ready as a data engineer with knowledge of generative AI! No prior experience necessary
Instructors: Abhishek Gagneja
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Intermediate level
No experience necessary, but some data engineering knowledge will be helpful.
(59 reviews)
Recommended experience
Intermediate level
No experience necessary, but some data engineering knowledge will be helpful.
Apply your skills to recognize real-world generative AI uses and identify generative AI models and tools for text, code, image, audio, and video.
Explain generative AI prompt engineering concepts, examples, and common tools and learn techniques needed to create effective, impactful prompts.
Implement data engineering processes such as data warehouse schema design, data generation, augmentation and anonymization using generative AI tools
Evaluate real-world case studies showcasing the successful application of generative AI for ETL and data repositories
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Data Engineering is all about efficient data collection, generation, transformation and storage. Generative AI tools have the capability of making each of data engineering tasks more efficient, effective, and convenient on an ETL pipeline. This specialization is designed not only for Data Engineers but for anyone who might be interested in the use of generative AI in Data Engineering.
With three self-paced courses in the specialization, you will begin with learning the differences that distinguish generative AI from discriminative AI. You’ll delve into real-world generative AI use cases and explore popular generative AI models and tools for text, code, image, audio, and video generation.
Next, delve into generative AI prompts engineering concepts and real-world business uses. Learn about prompt techniques like zero-shot and few-shot and explore various prompt engineering approaches and explore commonly used prompt engineering tools including IBM Watsonx, Prompt Lab, Spellbook, and Dust.
No experience is needed to begin this specialization, although you might find it helpful to have some data engineering knowledge.
Take your career to the next level. Let’s get started!
Applied Learning Project
This Specialization emphasizes applied learning and includes a series of hands-on activities and projects. In these exercises, you’ll take the theory and skills you’ve gained and practice them with real-world scenarios.
You will perform hands-on labs to:
Generate text, images, and code using Generative AI
Apply prompt engineering techniques and best practices
Use generative AI tools to design data workflow
Describe generative AI and distinguish it from discriminative AI.
Describe the capabilities of generative AI and its use cases in the real world.
Identify the applications of generative AI in different sectors and industries.
Explore common generative AI models and tools for text, code, image, audio, and video generation.
Explain the concept and relevance of prompt engineering in generative AI models.
Apply best practices for creating prompts and explore examples of impactful prompts.
Practice common prompt engineering techniques and approaches for writing effective prompts.
Explore commonly used tools for prompt engineering to aid with prompt engineering.
Leverage various generative AI tools and techniques in data engineering processes across industries
Implement various data engineering processes such as data generation, augmentation, and anonymization using generative AI tools
Practice generative AI skills in hands-on labs and projects for data warehouse schema design and infrastructure setup
Evaluate real-world case studies showcasing the successful application of Generative AI for ETL and data repositories
At IBM, we know how rapidly tech evolves and recognize the crucial need for businesses and professionals to build job-ready, hands-on skills quickly. As a market-leading tech innovator, we’re committed to helping you thrive in this dynamic landscape. Through IBM Skills Network, our expertly designed training programs in AI, software development, cybersecurity, data science, business management, and more, provide the essential skills you need to secure your first job, advance your career, or drive business success. Whether you’re upskilling yourself or your team, our courses, Specializations, and Professional Certificates build the technical expertise that ensures you, and your organization, excel in a competitive world.
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It can be completed in two months.
This Certificate is open for anyone with any job and academic background.
Yes, it is highly recommended to take the courses in the order they are listed, as they progressively build on concepts taught in previous courses.
At this time, college credit is not available for taking this program.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
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