Many AI start-ups in MLops have been joining the field

With technological advancements, AI applications have accelerated rapid growth as there is a huge demand for infrastructure and software that supports AI applications. Many start-ups have been joining this field of MLops. Here are 5 leading AI start-ups in MLops in 2021

5  Data Robot

Data Robot wants to own a company’s AI lifecycle starting from data preparation till the production deployment. The features of Data Robots include relating to the web UI which can simplify the data and it can also assist users by automatically clearing previous data.  The Humble AI feature adds to the company as it lets the user place additional guardrails in case of any low probability event occurring during the prediction. The unique quality of Data Robots is that they can install their own data center and bare metal in Hadoop clusters and can deploy cloud services to private and managed companies.

4 Grid.ai

Grid.ai absorbs and runs the simplifications that PyTorch Lightning brings, and trains models using temporary resources of the GPU. Grid.ai manages all provisioning of infrastructure resources in the background by ensuring that the datasets are optimized for large-scale use.

It’s best for a streamlined training pipeline for data scientists that can minimize cloud costs.

3 Pinecone/ Zilliz

The two start-ups Pinecone and Zilliz, offer vector search to businesses. It is a pure SaaS that offers uploads by machine learning model to the server and submits a query via the API. The team of Pinecone handles all the aspects ranging from security to operational concerns hassle-free.

2 Seldon

Seldon also offers open core products that can provide additional enterprise functionality on top. The core of the company is its open-source component. It also provides an open-source Alibi library for testing and explaining machine learning models. The unique feature of Seldon Core is flexibility with the technology stack.

1 Weights and biases

Weights and biases have made a mark in the field of machine learning impacting the data scientist looking for well-designed experimental tracking service. The W&B can quickly integrate with all machine learning libraries. It can also be used as a way to control hyperparameters where everyone in the team can see results and reproduce the experiments.

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DRDO has invited applications for a short term certificate online course on artificial intelligence and machine learning to be conducted by DIAT

DRDO through its autonomous organization Defence Institute of Advanced Technology (DIAT) is offering a short term certificate online course on artificial intelligence and machine learning for which interested graduates from any domain can apply. The 12-week long online course will consist of a mix between fundamentals and advanced topics of various domains of artificial intelligence and machine learning. However, applicants are required to have the basic knowledge of algorithms, databases, data structures, modular mathematics, statistics, and probability theory.

The course will be conducted online for two hours a day and five days a week. Applicants will be selected based on their performance in an online test, which will be conducted on 21 February 2021. Registration for the online test, and taking the test is mandatory for prospective students of the course. Once an applicant is selected for the course, based on their performance in the test, they would be required to pay a fee of Rs 15,000 including GST.

What Will Be Taught in the DRDO DIAT Online Course on Artificial Intelligence?

As mentioned before, students will get to learn about fundamentals and advanced topics of various domains of artificial intelligence and machine learning such as:

• Forensic and incident response.
• System programming.
• Reverse engineering and malware analysis.
• Basic and advanced vulnerability analysis, exploit mitigation and penetration testing.
• Tools and techniques for Cyber Security professionals.

Syllabus for the Entrance Test for Admission into the DRDO DIAT Course

Some of the topics based on which questions will be set in the online entrance test are as follows:

• Fundamentals of OS.
• Networking: OSI, TCP/IP, socket programming, win32 socket APIs, server messaging block, application and ports, TLS/SSL including TLS1.3, Firewalls, UTM, routing protocols, routers – core/edge routers, ASN, IPv4/v6.
• System Software: basic knowledge of assembly – x86 instruction set, addressing modes, registers, Main memory space.
• Knowledge of programming language.
• Data structures.

How to Apply for DRDO DIAT Online Course on Artificial Intelligence?

Interested students need to first register for the entrance test, and online applications for the same will be accepted from 29 January to 15 February 2021. The online test will be conducted on 21 February, and the results will be announced on 22 February 2021. Qualified candidates will need to pay the course fee before 26 February 2021. Those who wish to know more about the online course are advised to go through the official notification available on the DRDO website.

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