Applied AI & Data Science
Explore the frontiers of Data Science, AI & Generative AI
This comprehensive Applied AI & Data Science program, offered by Brown University’s School of Professional Studies and Simplilearn provides the essential skills and resources to advance your career in Data Science and AI. This is achieved through a state-of-the-art curriculum and hands-on learning.
- Admission closes on 1 May, 2024
- Program Duration 3 months
- Learning Format Blended Learning
World’s #1 Online Bootcamp
Why Join this Program
Applied AI Course Overview
The Applied AI and Data Science program 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.
Applied AI Course 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.
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 Course 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
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.
- 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
-
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
-
- 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
- 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
-
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
-
- 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.
- 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
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.
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:
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.
Program Advisors
Srikar Prasad
Adjunct Professor, Brown UniversitySrikar 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.
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
Get a Resume Makeover from TopResume
Reach numerous employers with ResumeRabbit
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.
- The class consists of learners from excellent organizations and diverse industriesIndustryInformation Technology - 35%Software Product - 29%BFSI - 15%E-commerce - 9%Others - 12%Companies
Admission Details
Eligibility Criteria
For admission to this Program in AI and Data Science, candidates should have:
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.
Other Payment Options
We provide the following options for one-time payment
- Credit Card
- Paypal
$ 2,624
Applied AI Course FAQs
What are the eligibility criteria for joining this Applied AI & Data Science Program?
For admission into the Applied AI & Data Science program, candidates:
-
Should be at least 18 years old with a high school diploma or equivalent.
-
Should have a basic understanding of mathematics and programming concepts.
-
Are encouraged to have prior professional experience, but not required.
-
What is the admission process for this Applied AI & Data Science Program?
The admission process for this Applied AI & Data Science Program consists of three simple steps:
-
All interested candidates are required to apply through the online application form
-
An admission panel will shortlist candidates based on their application
-
An offer of admission will be made to the selected candidates, which the candidate can then accept by paying the program fee
-
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 & Data Science Program financially manageable. Please refer to our "Admissions Fee and Financing" section for more details.
What should I expect from this Applied AI & Data Science Program?
As a part of this Applied AI & Data Science program, you will receive the following:
-
Earn a certificate of completion from the School of Professional Studies at Brown University
-
Become proficient with industry-standard tools and methodologies to prepare and analyze data effectively
-
Learn the essentials of Generative AI and its corresponding use cases
-
Build optimized machine learning models to enhance decision-making processes
-
Develop expertise in both linear and non-linear ML models
-
Attain a comprehensive understanding of deep learning techniques
-
Master the complete process of building a machine learning pipeline
-
Learn about the taxonomy of generative model families and the ways to build generative models
-
What certificate will I receive?
Upon successfully completing this Applied AI & Data Science program,, you will be awarded a certificate of completion by the School of Professional Studies at Brown University
How long does it take to complete this Applied AI & Data Science program?
The anticipated time to complete the program is 3 months.
- Disclaimer
- PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.