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AI 5: Productionizing AI (MLOps)

The course provides a hands-on training and an internship project, which will be an ultimate test of your skills and expertise in AI & ML.


During this course, you will be immersed in a company or a faculty-driven project. Here, you will work with stakeholders to define a project that serves business or research needs and then execute it. You are expected to deliver lasting business or research value to these organizations.


You will receive mentorship & training from Univ.AI’s expert faculty and mentors. You will also be mentored by experts from the project's host. This course will make you eligible for sought after AI positions.  Our global faculty and expert mentors will provide placement support to all who finish this program successfully. The best performers in the program (who complete the program with an ‘A’ grade) are guaranteed placements from us at exceptional and sought after research and professional positions in AI and Machine Learning. 

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Starts

To be decided
Self-paced

Duration

12-16 Weeks (not including breaks)

Time Investment

10 to 15 hours a week
Online

Format

Live Online
Online

Fee

Introductory Price: $1,250
List Price: $3000

₹90,000

Registration closes

To be decided

Course Outcome

Program Overview

Program Overview

  1. Build a data product indicating your expertise in AI, Machine Learning and deep learning
  2. Earn the Master Certification in Artificial Intelligence
  3. Placement Guarantee: Complete the program with flying colours (score a grade “A” in the program) and the most elite positions in the field await you, as a guarantee
  4. Placement Support: For all students who complete the course, our expert mentors will provide you with the necessary support and guidance to help you land an exceptional role

Who should apply

This program is ideal for advanced AI practitioners who seek top, well compensated positions in the field.

See if you are ready

Prerequisites

  1. Knowledge of advanced AI and engineering, as exemplified by the topics in AI:basics, AI 3 ans AI 4.
  2. You can either take AI:4 or apply and undergo an application test and interviews.

Class Timings

Course Structure

Live online classes
1. Live Online Classes

Bi-weekly live, cohort-based lessons with labs and quizzes

Mentorship
2. Mentor-Supported

Ten or more hours/week to interact with an experienced & accomplished mentor

Module end Project
3. End-of-Module Project

Complex problems that challenge you to apply what you learn

Capstone
4. Capstone

10–12 week long Capstone Project with one of our partner companies or faculty

Program Faculty

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Topics Covered

Details

1. Project definition
2. Project implementation, with deliverables including the process notebooks
3. The delivery of results/ products, along with the communication and visualization of data and results.

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Frequently Asked Questions

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