Sri Tulasi Edtech Pvt.Ltd

Generative Artificial Intelligence

Gen AI is a subset of artificial intelligence that uses data to generate new material, such as text, images, music, and code. It operates by first identifying patterns in massive datasets using foundation models, or large AI models, and then producing original outputs in response to human input.

Internet of Things

The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique and connects devices, machines, and even people through unique identifiers, enabling data transfer over a network without human interaction.

Block chain

A distributed, immutable, and decentralized digital ledger called blockchain safely logs transactions over a network of computers. By cryptographically and temporally connecting data blocks, it establishes a transparent and impenetrable system that uses consensus processes to validate information without the need for a central authority.

Data Science

Data science is an interdisciplinary field that combines domain expertise, computer science, statistics, and mathematics to extract valuable insights and knowledge from data. To produce forecasts and assist in strategic decision-making across a range of industries, it entails procedures including data collection, preparation, analysis, modeling (using languages like Python and R).

DevOps

Through the implementation of continuous feedback loops, process automation, and collaboration, DevOps is a software development technique and culture that blends development (Dev) and operations (Ops) to expedite the delivery of high-quality products and services.

Cloud Computing

The concept of cloud computing refers to the on-demand, pay-as-you-go delivery of IT resources and services, including as servers, storage, software, and analytics, via the internet. By giving individuals and organizations access to shared, virtualized resources, it removes the need for them to operate and manage their own physical data centers and servers, bringing advantages.

Big Data Engineer

Big Data is data that is too large to handle with traditional methods. This poses new challenges when it comes to storing, manipulating, retrieving, and analyzing Big Data. Starting with a course on the fundamentals of Big Data, you’ll learn Big Data with IBMs suite of products, as well as other open source tools. Leveraging these tools and techniques, you will be able to handle Big Data.

Watson Services

Watson includes specialized tooling, a Software as a Service application, and a variety of sophisticated APIs. Watson is intended to work with platforms that professionals use on a daily basis, facilitating easy access to the information you require in order to make wise judgments.

Business Intelligence using Cognos

IBM Cognos is a business intelligence (BI) suite that uses a web-based, artificial intelligence (AI)-powered platform called Cognos Analytics to assist enterprises with data analysis, report creation, performance monitoring, and well-informed corporate decision-making. It provides interactive dashboards for data visualization, self-service tools to prepare and examine data.

Rest API, Javascript and Clean Coding

A collection of guidelines for creating and utilizing online services via HTTP is known as a REST API, or Representational State Transfer Application Programming Interface. Building a REST API in JavaScript usually entails combining a framework like Express.js with a server-side runtime environment like Node.js.

Predictive Analytics using SPSS

Predictive analytics in SPSS entails evaluating past data to forecast future results, patterns, or behaviors. Data preparation, the use of algorithms such as logistic models, decision trees (e.g., CHAID), and linear regression, the assessment of model performance, and the deployment of models for decision-making in areas such as fraud prevention, and sales forecasting.

Java/Python Full-Stack

An expert who works on an application's front end and back end is known as a full-stack developer. Their extensive skill set allows them to oversee every phase of software development, from the database and server-side logic to the user interface. They are useful resources for organizations and development teams because of their adaptability.

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