(4.5)
Data Science with MLOps
Course Description
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Learn end-to-end data science workflows from data processing to model deployment.
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Build predictive models using machine learning and statistical techniques.
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Develop advanced AI solutions using deep learning frameworks.
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Work with Natural Language Processing for intelligent text analysis applications.
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Deploy scalable machine learning systems using modern MLOps practices and cloud platforms.
Why Data Science with MLOps is in High Demand
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Data-Driven Businesses: Organizations rely on data insights for strategic decisions.
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AI Adoption: Machine learning powers modern products and digital platforms.
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Production AI: MLOps enables reliable deployment of machine learning systems.
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Industry Applications: Data science is used across finance, healthcare, e-commerce, and technology.
Curriculum Summary
- Database Introduction ,Datatypes,Constraints,Statements in SQL and Software Installation.
- Data Query Language (DQL)
- Operators
- Functions in SQL
- JOINS
- Data Definition Language (DDL)
- Data Manipulation Language (DML)
- Transaction Control Language (TCL)
- Data Control Language (DCL)
- Normalization
- Introduction to Java
- Keywords, Identifiers, Variables
- Operators, Methods and Functions
- Methods and Functions
- Flow Control Statements
- Classes and Objects
- Object Orientation
- Reference Variables
- Global and Local Variables
- Constructors
- Aggregation
- Inheritance
- Method Overloading
- Method Overriding
- Abstract Classes
- JVM Architecture
- Polymorphism
- Abstraction
- Java Packages
- Overview of Java API
- Object class
- String, String Buffer and String Builder
- Exception Handling
- Threads and Multithreading
- Data Structures
- JAVA COLLECTION FRAMEWORKS
- File Handling
- Serialization
- Garbage Collector
- What is a computer?
- What is an application?
- Types of applications?
- What is a standalone application?
- What is a web application?
- What is a network?
- What is an intranet?
- What is a server?
- What is a database?
- What is an API?
- What is J2EE?
- Types of APIs
- JAVA EE 3-tier architecture
- JAVA EE 2-tier architecture
- JDBC Introduction
- Steps to work with JDBC
- JDBC pre-requirements
- FIRST JDBC program
- Driver Concepts
- About Connections
- JDBC objects and methods
- Result Set
- Closing of JDBC objects
- SERVLET Introduction
- Web URLs
- Servlet Container
- Servlet Hierarchy
- Attributes
- Cookies
- Session
- JSP Introduction
- JSP Scripting Elements
- Spring Boot
- Spring MVC
- Webservices Introduction
- Real Time Examples of Webservices
- Different Webservices
- Understanding SOAP & REST Webservices
- Requirement of Webservices
- Advantage of Webservices
- Understanding XML & JSON
- SOAP Webservice using Spring & Apache CXF
- REST Webservice using Spring-REST & Apache Jersey
- Polynomial Regression – Training and Evaluation
- VCS HISTORY
- REVISION CONTROL SYSTEM
- GIT ARCHITECTURE
- GIT STAGES
- WORKING DIRECTORY
- STAGING AREA
- REPOSITORY (LOCAL, CENTRAL, REMOTE)
- GIT INSTALLATION
- GIT ADD
- GIT COMMIT
- GIT STATUS
- GIT LOGS
- COMMIT A FILE USING GIT
- CONFIGURATION OF USER
- IGNORING CONTENT
- BRANCHING STRATEGIES
- GIT FLOW
- GIT-HUB FLOW
- GIT REBASE
- GIT STASHING
- GIT MERGING
- GIT REPOS (PRIVATE & PUBLIC)
- INTEGRATING REPOS
- TOKENS
- GIT PUSH
- GIT PULL
- GIT CLONING
- GIT BRANCH
- GIT MERGE
- GIT FORK
- GIT STASH
- GIT MERGE
- GITHUB FILEADD
- COMPARE & PULL REQUEST
- MAKING PUBLIC REPO AS PRIVATE
- DELETING REPOS
- ACCESSING THE PRIVATE REPOS
- ADVANTAGES & DISADVANTAGES
- DIFFERENCE BETWEEN GIT AND OTHER TOOLS
- INTERVIEW QUESTIONS
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- INTRODUCTION
- JAVA PROJECT STRUCTURE
- PROBLEMS WITHOUT MAVEN
- WHAT MAVEN DOES
- WHAT IS BUILD TOOL?
- Pom.xml FILE
- REQUIREMENTS FOR BUILD
- MAVEN ARCHITECTURE
- MAVEN BUILD LIFE CYCLE
- MAVEN COMPILE
- MAVEN TEST
- MAVEN PACKAGE
- MAVEN INSTALL
- MAVEN CLEAR
- MAVEN DIRECTORY STRUCTURE
- GENERATING WAR FILE
- GENERATING JAR FILE
- MAVEN VS ANT
- INTERVIEW QUESTIONS
Student Reviews
★★★★★ Excellent course with practical projects.
