• Admission closes on 16 Jul, 2024
  • Program Duration 3 months
  • Learning Format Blended Learning

World’s #1 Online Bootcamp

Why Join this Program

The Brown Advantage

Earn a certificate of completion from the School of Professional Studies at Brown University.

Immersive Learning

Practical learning through industry-relevant hands-on projects with access to integrated labs.

Learn from the Best

Learn at your own pace through top-notch video content recorded by Brown faculty.

Industry-relevant Curriculum

Progressive curriculum including Generative AI concepts, Data Science tools, AI frameworks and GPT.

FOR ENTERPRISE

Looking to enroll your employees into this program ?

Applied AI Program Overview

The Applied AI Program with Data Science offers a cutting-edge learning approach combining theoretical knowledge and hands-on experience. Students will learn core concepts while honing their skills through immersive lab exercises, attending master classes with esteemed Brown faculty, and engaging in collaborative learning.

Key Features

  • Simplilearn Career Service helps you get noticed by top hiring companies
  • Certificate of completion from the School of Professional Studies at Brown University.
  • Comprehensive curriculum created by Brown faculty.
  • Practical learning through industry-relevant hands-on projects with access to integrated labs.
  • Exclusive content on Generative AI to stay ahead of the technology curve.
  • Monthly live online master classes delivered by distinguished Brown faculty.
  • Learn at your own pace through top-notch video content recorded by Brown faculty.

Applied AI Program Advantage

Advance your career in the field of data by enrolling in our Applied AI & Data Science program. Acquire the crucial skills needed to thrive in the digital era with a curriculum developed by Brown University faculty, featuring monthly master classes.

  • Program Certificate

    Collaborating with Brown university

    • Certificate of completion from the School of Professional Studies at Brown University
    • Build and optimize machine learning models to enhance decision-making processes
    • Discover the concepts of variational autoencoders, GANs, diffusion models, and transformers

Applied AI Program Details

The program embraces an innovative learning methodology that seamlessly integrates theoretical understanding with practical application. Participants actively grasp fundamental concepts, refine their abilities through immersive laboratory exercises, and participate in esteemed master classes.

Learning Path

  • Induction for Brown Applied AI and Data Science program

    Get started with the AI & Data Science program, exploring all of the content. Kick-start your journey with this induction session and get to know what this carefully curated program offers.

  • Program Overview
    • Gain a complete understanding of the Applied AI & Data science program
    • Understand the course modules and the topics covered
    • Get to know the program learning path and program faculty
  • Foundations of Data Science

    • Understand the fundamentals of statistics and basic categories of data science

    • Learn about the background of Python and its functionalities

    • Dive deep into various Python libraries like NumPy and pandas

  • Understanding the Data
    • Acquire knowledge about machine learning, including a comprehensive understanding of the diverse algorithms employed within this domain
    • Discover the process of collecting data from multiple sources and transforming it into a practical and usable format.
    • Explore and study the various algorithms utilized in machine learning to develop expertise in this area.
    • Dive deep into the intricacies of exploratory data analysis, mastering the techniques and methodologies used to examine, visualize, and interpret data sets to extract meaningful insights and make informed decisions
  • Preparing the Model
    • Learn how feature engineering is used to prepare a machine learning model
    • Dive deep into various supervised learning techniques, including but not limited to linear and logistic regression, decision trees, and random forests
    • Delve into unsupervised learning and gain proficiency in various techniques, including K-means clustering, hierarchical clustering, and dimensionality reduction
  • Training the Model

    • Learn the theoretical and practical aspects of model training, evaluation and fine tuning.

    • Gain proficiency in assessing the performance of models by utilizing established evaluation measures and matrices commonly employed in the industry

    • Analyze and interpret the results of your models, making informed decisions about their effectiveness and suitability for real-world applications

    • Master the skill of model fine-tuning to improve effciency

  • Deep Learning
    • Gain a solid understanding of deep learning, training artificial neural networks to perform complex tasks.
    • Understand artificial neural networks to design, train, and utilize neural networks effectively.
    • Learn how deep learning enables the automatic learning of hierarchical representations of data
    • Use CNNs for image recognition, ensuring that participants can apply this architecture to tasks like object detection, classification, and image analysis
    • Become familiar with RNNs
    • Learn how to create and utilize GANs for content generation.
  • Generative AI
    • Learn about the taxonomy of generative model families and the ways to build
    • generative models
    • Understand the concepts of variational autoencoders, generative adversarial networks (GANs), diffusion models, and transformers
    • Master the training and analysis of GPT Understand the broader applications of generative AI in various fields
  • Conclusion

    This module covers topics that will help prepare you for what lies ahead. By completing this module, you will acquire valuable insights and knowledge that will equip you to thrive in the rapidly evolving field of data science.

  • Applied AI & Data Science Capstone

    The capstone project will allow you to implement the skills you will learn throughout this program. You will solve industry-specific challenges by leveraging various AI and Data Science techniques learned across various modules in the program. This project will help you showcase your expertise to potential employers.

Electives:
  • Academic Masterclass- Brown university

    Attend a live, online artificial intelligence and data science master class led by Brown faculty to gain insights into the current trends and future outlook of data science.

  • Doubt Clarification & Project Mentoring

    The purpose of this course is to help you clarify any questions or concerns you may have about the curriculum and projects you've completed this far.

Contact Us

1-844-532-7688

( Toll Free )

Skills Covered

  • Machine Learning
  • Generative AI
  • Supervised and Unsupervised Learning
  • Data Analysis
  • Model Selection
  • Model Training and Evaluation
  • Neural Networking
  • Generative Pretrained Transformers
  • Data Science
  • Artificial Intelligence

Tools Covered

pythonpandasNumPyMatPlotlibSeabornSciPyChatGPT

Industry Projects

  • Project 1

    Retail Sales Analysis

    Analyze the company’s sales data for the fourth quarter across Australia, state by state, and help the company make data-driven decisions for the coming year.

  • Project 2

    Employee Turnover Analysis

    Utilize predictive analytics to predict the employee turnover time with the HR department data.

  • Project 3

    Loan Repayment Prediction

    Create a Deep Learning model that can predict the ability of loan applicants to repay the loan.

  • Project 4

    Identify Credit Card Fraudulent Transactions

    Analyze the dataset provided and build a mode to identify fraudulent credit card transactions from legitimate ones.

Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.

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Program Advisors

  • Srikar Prasad

    Srikar Prasad

    Adjunct Professor, Brown University

    Srikar Prasad is an Adjunct Professor of Programming and Data Science at the Brown University Watson Institute. He has held Artificial Intelligence, product, and technology leadership roles at Meta Platforms, Wayfair, and Alphabet.

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Career Support

Simplilearn Career Assistance

Simplilearn’s Career Assist program, offered in partnership with Talent Inc, is a service to help you to be career ready for the workforce and land your dream job in U.S. markets.
One-on-one Interview Service by TopInterview

One-on-one Interview Service by TopInterview

Get a Resume Makeover from TopResume

Get a Resume Makeover from TopResume

Reach numerous employers with ResumeRabbit

Reach numerous employers with ResumeRabbit

Complete Candidate Confidentiality Assured

Complete Candidate Confidentiality Assured

Batch Profile

This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

  • Industry
    The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 35%Software Product - 29%BFSI - 15%E-commerce - 9%Others - 12%
    Companies
    SAP ERP
    Wells Fargo
    Boeing
    Siemens
    Infosys
    IBM
    Amazon
    Ernst & Young
    LinkedIn
    Netflix
    Bosch
    Accenture

Learner Reviews

Admission Details

Eligibility Criteria

For admission to this Program in AI and Data Science, candidates should have:

At least 18 years old with a high school diploma or equivalent.
Basic understanding of mathematics and programming concepts.
Encouraged to have prior work experience, but not required.

Admission Fee & Financing

The admission fee for this program is $ 2,624

Financing Options

We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.

Pay in Installments

You can pay monthly installments for Post Graduate Programs using Splitit, ClimbCredit or Klarna payment option with low APR and no hidden fees.

ClimbCreditKlarna

Other Payment Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

$ 2,624

Applied AI Program FAQs

  • Who are the instructors in this Applied AI Program with Data Science, and how are they selected?

    This program is taught by top-notch video content recorded by Brown faculty.

  • I cannot access the Applied AI Program with Data Science. Who can help me?

    In case of any issues feel free to Contact us using the form on the right side of any page on the Simplilearn website, select the Live Chat link, or contact Help & Support.

  • Is there any financial aid provided?

    To ensure money is not a limiting factor in learning, we offer various financing options to help make this Applied AI Program with Data Science financially manageable. Please refer to our "Admissions Fee and Financing" section for more details.

  • If I want to cancel my enrollment in this Applied AI Program with Data Science, can I get a refund?

    Please refer to the Simplilearn refund policy for more details.

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  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.