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Generative AI: Elevate your Data Engineering Career

Data engineering processes have undergone an amazing transformation since the advent of Generative AI. In this course, you will explore the impact of generative AI on data engineering. You as a data engineer can use Generative AI to enhance productivity by introducing innovative ways to deliver projects. 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. 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 lakehouse, and data repositories. You will also explore challenges and ethical considerations associated with using Generative AI. Demonstrate your new generative AI skills in a hands-on data engineering project that you can apply in your real-life profession. Then, complete your final quiz to earn your certificate. You can share both your project and certificate with your current or prospective employers.
Duration 7 Months
Institution IBM
Format Online

Eligibility Criteria

school

Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into IBM .

language

Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $190
Total Est. Investment $190

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the Generative AI: Elevate your Data Engineering Career program at IBM are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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