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Machine Learning with Apache Spark
This course is part of IBM Data Engineering Professional Certificate.
Course Cost
Free course
Intermediate
Skill Level
14 Hours
Self-paced Video lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full IBM Data Engineering Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.6
10,447 Enrolled
English
What you'll learn
Build and deploy machine learning models using Apache Spark
Implement ETL processes for ML pipelines
Perform regression, classification, and clustering with SparkML
Design and optimize feature extraction techniques
Develop structured streaming applications
Master model persistence and evaluation methods
Skills you'll gain
This course includes:
2.2 Hours PreRecorded video
7 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This comprehensive course combines theoretical foundations with practical applications in machine learning using Apache Spark. Students learn to implement ML pipelines, perform feature extraction, and handle both batch and streaming data processing. The curriculum covers supervised and unsupervised learning techniques, including regression, classification, and clustering, with hands-on labs using SparkML. Special emphasis is placed on data engineering aspects and real-world applications of machine learning models.
Get Started with Machine Learning
Module 1 · 4 Hours to complete
Machine Learning with Apache Spark
Module 2 · 3 Hours to complete
Data Engineering for Machine Learning using Apache Spark
Module 3 · 4 Hours to complete
Final Project
Module 4 · 3 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: IBM Data Engineering Professional Certificate
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
4.8
1,430
Reviews
3,40,146
Students
12
Courses
Ramesh Sannareddy serves as a freelance technology educator and content developer, bringing over two and a half decades of experience in Information Technology Infrastructure Management, Database Administration, and Information Integration. After earning his Bachelor's Degree in Information Systems from Birla Institute of Technology, Pilani, he built an impressive career working with leading technology companies including Intergraph, Genpact, HCL, and Microsoft. Currently focused on his passion for teaching, he specializes in developing and delivering courses in Data Science, Machine Learning, Programming, and Databases. His educational impact is evidenced through his extensive course portfolio, which includes specialized programs in Data Engineering, Data Warehousing, Linux Commands, Machine Learning with Apache Spark, and Python Programming. His teaching reaches over 11,800 learners globally, maintaining a strong 4.5 rating for his educational content
4.8
58
Reviews
9,53,636
Students
60
Courses
At IBM Skills Network, we understand the importance of building hands-on, job-ready skills quickly to stay competitive in today’s fast-paced world. Our courses, developed by industry experts at the forefront of technological innovation, cover key areas such as AI, software development, cybersecurity, data science, and business management. With real-world insights and practical learning in every module, we equip both individuals and teams with the future-focused technical and business knowledge necessary for success in an ever-evolving landscape.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.