IBM - Machine Learning with Apache Spark
- Offered byCoursera
Machine Learning with Apache Spark at Coursera Overview
Duration | 14 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Machine Learning with Apache Spark at Coursera Highlights
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Intermediate Level Prior knowledge on Data Engineering Fundamentals, Big Data, Hadoop and Spark, ETL and Python is highly recommended for this course.
- Approx. 14 hours to complete
- English Subtitles: English
Machine Learning with Apache Spark at Coursera Course details
- Explore the exciting world of machine learning with this IBM course.
- Start by learning ML fundamentals before unlocking the power of Apache Spark to build and deploy ML models for data engineering applications. Dive into supervised and unsupervised learning techniques and discover the revolutionary possibilities of Generative AI through instructional readings and videos.
- Gain hands-on experience with Spark structured streaming, develop an understanding of data engineering and ML pipelines, and become proficient in evaluating ML models using SparkML.
- In practical labs, you'll utilize SparkML for regression, classification, and clustering, enabling you to construct prediction and classification models. Connect to Spark clusters, analyze SparkSQL datasets, perform ETL activities, and create ML models using Spark ML and sci-kit learn. Finally, demonstrate your acquired skills through a final assignment.
- This intermediate course is suitable for aspiring and experienced data engineers, as well as working professionals in data analysis and machine learning. Prior knowledge in Big Data, Hadoop, Spark, Python, and ETL is highly recommended for this course.
Machine Learning with Apache Spark at Coursera Curriculum
Get Started with Machine Learning
Course Introduction
Introduction to Machine Learning for Everyone
Role of Data Engineering in Machine Learning
Machine Learning Model Lifecycle
Supervised vs Unsupervised Learning
Regression
Classification
Evaluating Machine Learning Models
Clustering
Generative AI Overview and Use Cases
Generative AI Applications
Course Syllabus
How to make the most of this course
Module 1 Glossary
Summary and Highlights
Machine Learning with Apache Spark
Spark for Data Engineers
Regression using SparkML
Classification using SparkML
Clustering using SparkML
GraphFrames on Apache Spark
Module 2 Glossary
Summary and Highlights
Data Engineering for Machine Learning using Apache Spark
Spark Structured Streaming
ETL Workloads
Spark SQL
Feature Extraction and Transformation
Machine Learning Pipelines using Spark
Model Persistence
Module 3 Glossary
Summary and Highlights
Final Project
Practice Project Overview
Final Project Overview
Congratulations and Next Steps
Thanks from the Course Team
Machine Learning with Apache Spark at Coursera Admission Process
Important Dates
Other courses offered by Coursera
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