Description
IBM AI-Native Data Engineering Professional Certificate. This advanced professional certificate from IBM teaches learners the skills to design, build, and manage native AI data platforms for machine learning and generative manufacturing applications. This course is designed as a comprehensive, advanced program for professionals who want to go beyond traditional pipelines and operationalize generative, scalable, secure, and controlled data platforms for AI systems. Modern AI systems require a different data infrastructure than legacy models to support machine learning models, generative AI, semantic search, and generative manufacturing processes. This curriculum covers all key steps, including structured and unstructured data ingestion, data lake architecture, embedding pipelines, vector retrieval systems, and preparing reproducible datasets for training models. During this training program, learners will learn how to implement sustainable concepts such as continuous integration and continuous delivery, observability, data governance, and network security into operational AI systems. The course is designed with hands-on labs and real-world projects to help participants design, validate, document, and implement a comprehensive, native AI data platform from scratch. In the final project, learners will compare different architectures, map AI business requirements to platform components, and create complete operational processes with technical documentation and observability plans to build a strong professional resume for entry into the job market.
What you will learn
- Designing native AI data platforms for data analytics, machine learning, semantic search, and additive manufacturing workflows with retrieval
- Building vector retrieval systems, embedding pipelines, and governed data lake architectures
- Creating reproducible datasets for machine learning and engineering unstructured data for AI applications
- Applying continuous integration and continuous delivery methods, visibility, governance, and security to AI operational data systems
- Assess and map AI processing requirements to technical platform components and complete data pipeline management
This course is suitable for people who:
- Data engineers and technical professionals looking to enter the field of AI infrastructure and platforms
- Developers who want to build trusted, scalable, and governed data platforms for AI
- Professionals with basic proficiency in SQL, Python, data pipelines, Git, and software engineering
- People looking to gain hands-on experience building AI data platforms and showcase real projects on their resume
Course details
- Publisher: Coursera
- Instructor: Ruslan Podgaets , Antonio Cangiano
- Language: English
- Training level: Beginner to advanced
- Number of lessons: 183
- Training duration: 10 hours and 58 minutes
Course topics
IBM AI-Native Data Engineering Professional Certificate Course Images
Sample course video
Installation Guide
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Subtitles: English
Quality: 720p
Download link
Rapidgator link
File(s) password: www.downloadly.ir
File size
2.1 GB