• Program duration

    14 weeks

  • Learning Format

    Self-Paced Learning

Why Join this Program

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    The Brown Advantage

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

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

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    Immersive Learning

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

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    Learn from the Best

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

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    Industry-relevant Curriculum

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

Corporate Training

Enterprise training for teams

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

  • 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.
  • Credly badge by Brown University Talent Development on successful completion of the program
  • 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 )

10+ 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

7+ 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 datasets from 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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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

Alumni Review

I am a social psychologist and jury consultant in a national firm. I wanted to help our firm stay on the leading edge in the industry and learn how we can leverage AI in our business. This program is well-structured, welcoming, and supportive. It allowed me to learn significantly.

Samantha (Sam) Holmes

Partner, Edge Litigation Consulting, LLC

What other learners are saying

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.

Applied AI Program FAQs

  • What is an Applied AI Program with Data Science?

    An applied AI program with data science is an educational course designed to provide comprehensive training in the practical application of AI and data science techniques. It equips you with the skills and knowledge to harness the power of AI and data science and solve real-world problems in practical, impactful ways.

    This Applied AI program does that through online video-based self-learning, theoretical learning and hands-on projects using ai tools, helping you tackle complex challenges and drive innovation using the most effective techniques available.

  • What are the benefits of enrolling into an Applied AI program with Data Science?

    This comprehensive Applied AI Course provides the essential skills and resources to advance your career in the field. It achieves this through a state-of-the-art curriculum combining theoretical knowledge and a hands-on learning experience. Additionally, if you're enrolling in this AI program, you can expect the following benefits:

    • Certificate of completion from the School of Professional Studies at Brown University
    • Practical learning through industry-relevant hands-on projects with access to integrated labs
    • Monthly live online master classes delivered by distinguished Brown faculty
    • The opportunity to learn at your own pace using video content recorded by Brown faculty
    • Exclusive content on generative AI to stay ahead of the technology curve

  • What is the application of AI in data science?

    Currently, AI applications is widely used in data science practices and strategies. AI is used to automate data analysis, improve natural language understanding, predictive modelling, and uncover hidden patterns in large datasets. AI applications like Natural Language Processing are used for text analysis, Machine Learning is used for predictive analytics and computer vision is used for image and video analysis. These AI- techniques boost ai development and data science projects' accuracy, efficiency, and scope.

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

    This AI program’s instructors are industry experts with extensive experience in the field. They are selected based on expertise, industry recognition, and teaching ability to ensure you receive top-quality education and insights.

  • How do I enroll in this Applied AI Program?

    The admission process for this Applied AI Program with Data Science is simple and consists of three steps:

    • All interested candidates are required to apply through the online application form
    • An admission panel will then review and shortlist candidates based on their application
    • The selected candidates will receive an offer of admission, which they can then accept by paying the program fee.

  • What is the salary of data science professionals with AI skills?

    According to Payscale, the average salary of a Data Scientist with AI skills in the United States is USD 115,300 annually. The same site quotes that data scientists with AI skills in India earn an average annual salary of INR 13 Lakhs. However, these figures can vary depending on experience level, location, industry, and specific skill sets.

  • What will be the career path after completing the applied AI program with data science?

    Completing the Applied AI Program opens up a wide range of career opportunities. The career path is diverse and offers opportunities for growth and further specialization. Choosing the next path will depend purely on your qualifications and level. Some of the more popular roles include:

    • Data analyst
    • Data scientist
    • Machine learning engineer
    • AI engineer
    • Data science consultant
    • Business intelligence developer

  • Which industries deploy AI and data science technologies?

    AI and data science technologies are used widely across various industries such as healthcare, BFSI, manufacturing, telecommunications, and agriculture.

    Here is how these industries use AI and data science technologies-

    • Healthcare - predictive diagnostics and personalized medicine
    • BFSI - fraud detection and algorithmic trading
    • Retail - customer personalization and inventory management
    • Manufacturing - predictive maintenance and quality control
    • Agriculture - crop yield prediction
    • Marketing and advertising - for targeted campaigns and consumer insights.

    These technologies are also utilized in transportation, energy, and entertainment to enhance efficiency and innovation.

  • What is the job market for AI Data Science professionals?

    The job market for AI Data Science professionals is growing rapidly, driven by factors like the increasing integration of AI across different industry sectors. Due to this, there is a high demand for skilled professionals capable of developing, implementing, and managing AI-driven solutions. 

    Competitive salaries and various opportunities are available, with particularly strong growth in the technology, healthcare, finance, and e-commerce sectors.

  • What is the refund policy for this Applied AI program with Data Science?

    You can cancel your enrollment if you wish. We will provide you with a complete refund after deducting the administration fee. To learn more, please go through our refund policy.

  • Are there any other online courses Simplilearn offers under Data Science?

    Absolutely! Simplilearn offers plenty of options to help you upskill in Data Science. You can take advanced certification training courses or niche courses to sharpen specific skills. Whether you want to master new tools or stay ahead with the latest trends, there's something for everyone. These courses are designed to elevate your knowledge and keep you competitive in the Data Science field.

    Similar programs that we offer under Data Science:

  • Will missing a live class affect my ability to complete the course?

    No, missing a live class will not affect your ability to complete the course. With our 'flexi-learn' feature, you can watch the recorded session of any missed class at your convenience. This allows you to stay up-to-date with the course content and meet the necessary requirements to progress and earn your certificate. Simply visit the Simplilearn learning platform, select the missed class, and watch the recording to have your attendance marked.

  • Does Simplilearn have corporate training solutions?

    Yes, Simplilearn for Business offers learning solutions for the latest AI and other digital skills, including industry certifications. For talent development strategy, we work with Fortune 500 and mid-sized companies with short skill-based certification training and role-based learning paths. We also offer a learning library with unlimited live and interactive solutions - Simplilearn Learning Hub+, which is accessible to your entire workforce. Our team of curriculum consultants works with each client to select and deploy the learning solutions that best meet their teams’ requirements.

  • What is covered under the 24/7 Support guarantee?

    We offer 24/7 support through email, chat, and calls. Our dedicated team also provides on-demand assistance through our community forum.

  • Are Simplilearn’s courses eligible for reimbursement by my employer?

    Yes, Simplilearn’s Applied AI & Data Science Program, offered in collaboration with Brown University’s School of Professional Studies, is eligible for employer reimbursement. We'd recommend confirming the specific terms of educational benefits or tuition assistance programs with your HR department or employer. Brown University’s School of Professional Studies also accepts tuition vouchers, which can streamline reimbursement.

    To claim your reimbursement, Simplilearn offers completion certificates, detailed receipts, and course breakdowns, which can be submitted to your employer or HR department.

  • What is the Credly badge by Brown?

    On successful completion of this program, you will receive a Credly badge from Brown University Talent Development. You can use this badge to showcase the skills you learned in this program and share it on platforms like LinkedIn and Twitter.

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