Machine Learning using PySpark Training in Gurgaon, Delhi

Machine Learning using PySpark

Harness the power of Hadoop with PySpark mLib

Duration : 6 months Classes : 36 Days : Weekdays / Weekends

Overview
Curriculum
Pre-requisite
Review

Unlock the power of distributed computing with our comprehensive course on Machine Learning using PySpark. This program dives deep into scalable machine learning techniques using Apache Spark's powerful MLlib library. Participants will learn to harness PySpark's capabilities to process massive datasets, build predictive models, and deploy intelligent solutions across industries. Through hands-on labs, real-world projects, and expert-led instruction, learners will gain practical experience in building end-to-end machine learning pipelines in a distributed environment.

This course on Machine Learning using PySpark will equip you with the essential skills to build, train, and deploy highly scalable ML models on distributed computing frameworks. You'll learn how to handle massive datasets that traditional tools can't manage. Move beyond single-machine limitations and master the art of parallel processing to achieve faster, more efficient results. Whether you're a data scientist, machine learning engineer, or big data professional, this program is your direct path to leveraging the industry-leading combination of Apache Spark and Python for cutting-edge ML applications.

This course blends theory with hands-on practice to help you build intelligent systems that learn and adapt. Whether you're looking to break into AI or sharpen your ML toolkit, this program delivers the skills and confidence to thrive.

Target Audience:-
-Developers and engineers with basic Python knowledge
-Data analysts and scientists transitioning into machine learning and Distributed computing
-Students and professionals preparing for AI-focused careers
-Tech enthusiasts eager to explore predictive modeling and automation
-Statisticians and Mathematicians

Program Outcomes:-
-Understand and apply the fundamental concepts of distributed computing
-Perform data preprocessing, feature engineering, and exploratory data analysis using PySpark
-Implement supervised and unsupervised machine learning algorithms at scale
-Build, tune, and evaluate machine learning models using Spark's pipeline API
-Optimize performance and manage resources in distributed ML workflows
-Integrate PySpark with other big data tools and platforms for advanced analytics

Course Format:-
✔ The course shall be delivered through a combination of lectures, interactive discussions & case studies
✔ Participants are exposed to practical exercises and new-age projects, where they learn by doing
✔ Participants shall have access to online resources, including reading materials, videos & business simulations
✔ Students shall receive all the study material
✔ Guest speakers from the industry may be invited to share insights and experiences
✔ Regular assessments and quizzes will be conducted to reinforce learning
✔ This is a Classroom only training
✔ Corporates: We understand your specific needs and goals. Contact us for customizations to this training

Trainers:-
✔ Equipped with multidisciplinary backgrounds
✔ Experts from the field of Maths, Financial Markets, AIML, Data Science & Management
✔ Each with over 25+ years of International experience working in EU / US / Australia
✔ All our trainers are Highly Qualified and Certified, in their respective subject areas

-You are familiar with pySpark , SQL and basic Statistics

....

NB: All our trainings are always tailored to adopt to the Individual's Pace and Learning Depth.

NB: As a stepping stone, providing foundational knowledge, Bridge Courses are conducted periodically, to help students transition between different levels by closing knowledge gaps. These classes can be attended ad hoc, and are 'complimentary' for our bonafide students.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre and complete your registration.

This syllabus provides a structured, module-by-module breakdown of this comprehensive training program focused on participants overall performance, retention, and engagement, covering foundational theory, implementation, best industry practices and advanced techniques in the subject.

Module 1: Spark Fundamentals and PySpark Setup
✔ Introduction to Big Data & Spark
✔ Setting Up the Environment
✔ Spark Architecture & RDDs
✔ PySpark DataFrames
✔ Basic DataFrame Operations

Module 2: Data Preprocessing and Feature Engineering
✔ Exploratory Data Analysis (EDA) at Scale
✔ Feature Selection and Scaling
✔ Handling Categorical Features
✔ Feature Transformations
✔ Data Splitting

Module 3: Core Machine Learning with PySpark MLlib
✔ Introduction to MLlib Pipelines
✔ Regression Algorithms
✔ Classification Algorithms
✔ Ensemble Methods,Random Forests
✔ Gradient-Boosted Trees
✔ Unsupervised Learning

Module 4: Model Tuning and Evaluation at Scale
✔ Hyperparameter Tuning
✔ Distributed Model Selection
✔ Advanced Evaluation Metrics
✔ Pipelining Best Practices

Module 5: Deployment and Productionizing Spark ML Models
✔ Model Persistence
✔ Batch Prediction
✔ Introduction to Spark Streaming
✔ Performance Tuning and Optimization
✔ Model Monitoring and Maintenance

Module 6: Advanced Topics and Optimization
✔ Distributed hyperparameter tuning
✔ Handling imbalanced datasets
✔ Streaming daa and real-time ML
✔ Integration with various cloud platforms
✔ Gaussian Mixture Models
✔ Principal Component Analysis (PCA)
✔ Anomaly detection

Module 7: Capstone Project
✔ Project Scope
✔ Choose a real-world dataset
✔ Apply full ML pipeline: preprocessing, modeling, evaluation
✔ Present findings and deploy model

NB:The curriculum is regularly subjected to updates, reflecting the latest industry trends & current technological advancements.

At Vyom Data Sciences, we aspire to provide the latest curriculum and most recent technology, as a standard component of all our trainings. Experts, with 25+ years of experience from USA, Europe and Australia, bring the best industry practices while designing and executing these trainings. All our trainers are Highly Qualified and Certified in their respective subject areas.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre.

Bhawana

Fabulous NLP + ML course

I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.

Harish

Excellent ML course!

The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.