Post Graduate Program in AI and Machine Learning, Austin
Fast track your career with our comprehensive Post Graduate Program in AI and Machine Learning, in partnership with Purdue University and in collaboration with IBM. This AI and machine learning certification in Austin will prepare you for one of the world’s most exciting technology frontiers.
- Next Cohort starts: Dec 5, 2020Limited no. of seats available
- Program Duration: 12 monthsAt 5-10 hours/week
- Online BootcampLearning Format
World’s #1 Online Bootcamp
Program Overview
This Post Graduate Program in AI and Machine Learning in Austin covers statistics, Python, machine learning, deep learning networks, NLP, and reinforcement learning. You will build and deploy deep learning models on the cloud using AWS SageMaker, work on voice assistance devices, build Alexa skills, and gain access to GPU-enabled labs.
KEY FEATURES
- 25+ hands-on Projects on GPU enabled Labs
- 450+ hours of Applied learning
- Capstone Project in 3 Domains
- Purdue Post Graduate Program Certification
Post Graduate Program Advantage
This comprehensive Post Graduate Program in AI and Machine Learning, in partnership with Purdue University and in collaboration with IBM, will help you grow your career in AI, Machine Learning, and Deep Learning.
Partnering with Purdue University
This Post Graduate Program in AI and Machine Learning is in partnership with Purdue University, one of the world's leading research and teaching institutions, offering higher education at the highest proven value. Purdue is committed to your success, changing the student experience with a focus on collaboration and the creative use of technology.
- Receive a joint Purdue-Simplilearn certification
- Become entitled for membership in the Purdue University Alumni Association
PROGRAM IN COLLABORATION WITH IBM
This program is in collaboration with IBM, a leading innovator in Data Science and AI, providing industry-relevant exposure.
- Industry recognized IBM certificates
- Access to IBM Watson for hands-on training and practice using IBM Cloud Lite account
Program Details
Unlock your potential as an AI and ML professional with our PGP in AI and Machine Learning program. You will learn about various AI-based technologies, including machine learning, deep learning, computer vision, natural language processing, speech recognition, and reinforcement learning.
LEARNING PATH
Get started with the Post Graduate Program in AI and Machine Learning in partnership with Purdue University and explore the program’s basics. Kickstart your AI journey with the preparatory AI and machine learning courses on statistics and programming.
Kickstart your learning by getting an understanding of the Python language and its libraries, writing scripts using the Jupyter-based lab environment.
Elevate your Python skills to a new level with this interactive, hands-on course and establish your mastery of data science and analytics techniques using Python programming.
Master machine learning techniques, including supervised and unsupervised learning and hands-on modeling, rounding out your artificial intelligence education.
Master the concepts of deep learning to build artificial neural networks and traverse layers of data abstraction and get a solid understanding of deep learning using TensorFlow and Keras.
Advance your skills with real applications of computer vision, generative-adversarial networks (GANs), distributed parallel computing with GPUs, and deployment of deep learning models on cloud.
Understand the concepts of NLP, feature engineering, natural language generation, automated speech recognition, speech to text conversion, text to speech conversion, and voice-assistance devices (including building Alexa skills).
You will learn how to solve reinforcement learning problems with a variety of strategies, using Python and TensorFlow, and apply different algorithms to solve problems.
Culminate your new AI and machine learning skills with a hands-on, industry-relevant capstone project bringing together every course into one portfolio-worthy capstone.
Electives:
Get a practical introduction on how to build a chatbot with Watson Assistant and then deploy your chatbot to a real website in less than five minutes.
Learn about R’s data structures, how to write R code, understand how statistical modeling relates to machine learning, and how to do a comparison of each using R.
Learn the basics of the Git version control system (VCS) and understand how to set up Git in your system, list the three-stage workflow in Git, create branches and track files, create a repository in Git and GitHub, and more.
Attend an online interactive masterclass and get insights about advancements in technology/techniques in Data Science and AI.
Attend this online interactive industry master class to gain insights about advancements in Data Science, AI and Machine Learning techniques.
TOOLS COVERED
Industry Project
- Project 1
Help Twitter Combat Hate Speech Using NLP and Machine Learning
Using NLP and Machine Learning, build a model to identify inappropriate tweets that should be removed from the platform to prevent social hate and negativity.
- Project 2
Help Zomato Predict Rating from the Review
Help Zomato to detect and clean the cases of rating and review mismatch, ensuring ratings reflect the true reviews helping to build customer trust.
- Project 3
Fare Prediction for Uber
Uber wants to improve the accuracy of its fare prediction model. Help Uber by choosing the best data and AI technologies and building its next-generation model.
- Project 4
Test Bench Time Reduction for MercedesBenz
Mercedes-Benz wants to the time on its test-bench to reduce the time it takes a car to get to the market.Build and optimize the Machine Learning algorithm to solve this problem.
Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.
Program Advisor
Patrick J. Wolfe
Frederick L. Hovde Dean of Science at Purdue UniversityPatrick J. Wolfe, an award-winning researcher in the mathematical foundations of data science, is the Frederick L. Hovde Dean of Science at Purdue University and named the 2018 Distinguished Lecturer in Data Science by the IEEE. He provides expert advice on applications of data science.
Dr. Christopher G. Brinton
Assistant Professor of Electrical and Computer Engineering at Purdue UniversityDr. Christopher G. Brinton, assistant professor at Purdue University and co-founder of machine intelligence analytics company Zoomi, Inc. specializes in research on AI and networks. He has built award-winning social learning network algorithms and network optimization models.
Learner's Profile
This AI and machine learning course caters to working professionals across industries. The learner diversity adds richness to class discussions and interactions.
- The class consists of learners from excellent organizations and diverse industriesIndustryInformation Technology - 43%Software Product - 13%Manufacturing - 20%Pharma & Healthcare - 7%BFSI - 7%Others - 10%Companies
- The class maintains an impressive diversity across work experience and rolesDesignation BreakupAssociate - 12%Midlevel - 35%Senior-level - 43%Executive - 10%Total Years of ExperienceLess than 3 years - 13%3-5 years - 17%5-8 years - 12%8+ years - 58%
- The class has learners with varied educational qualifications from excellent institutionsQualificationBachelors - 65%Masters - 30%Others - 5%Universities
Learner Reviews
Janani Varun
ChennaiI would give a 5-star rating for the Simplilearn course I took. It helps me understand the content easily through online self-learning videos, and trainers assist us with their enriched knowledge, as well.
Sneha Patil
MumbaiI'll give it a five-star rating...I enrolled in Data Science with Python course…the course content, shared drive, documents, pdf files, and — most importantly, the trainer — all are awesome. If you want to explore and gain knowledge, for sure go for Simplilearn.
Karan Pal Singh Bagga
Sr. Data Analyst, BangaloreIt is my first experience with Simplilearn, and it is fantastic. The course content is excellent as compared to any other institute. Faculties are very experienced and skillful.
Shailender Kumar
GurgaonThe Deep Learning with Tensorflow course was handled very well by the Simplilearn instructor – Mr. Shivendra Kumar. He took many pains to advance this highly technical course and answered all students’ questions (even multiple times) clearly without compromising the quality of the training. I recommend this course and the faculty.
Siddharth Pandey
Embedded UI/UX Expert | Technical Lead | React Expert, BangaloreThe best part about this course is that everything is covered in the classroom training. The course content and format are also up to the mark. There are many new things to learn, and the cloud lab is very helpful. The trainers are experienced and knowledgeable.
Apoorva N R
BangaloreIt has been a great learning experience so far. The entire course is very informative, and the trainers are incredibly knowledgeable. The course format is comprehensive and helps in a better understanding of the course concepts. Lab support is excellent. Thanks to Simplilearn for making learning accessible to employees.
Industry Trends
- AI and Machine Learning Industry Growth
57.2% Annual Growth
for AI market according to Grandview Research58 million new jobs
AI might create by 2022, according to the Forbes.Machine Learning Engineer Annual SalarySource: GlassdoorAI and Machine Learning Hiring CompaniesSource: Indeed
Why Online Bootcamp
- Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
- Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
- Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
- Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts
Admission Details
APPLICATION PROCESS
Candidates can apply to this Post Graduate Program in AI and Machine Learning in 3 steps. Selected candidates receive an admission offer which is accepted by admission fee payment.
Tell us why you’d want to do this AI & machine learning program
An admission panel will shortlist candidates based on their application
Selected candidates start the AI and machine learning program in 1-2 weeks
ELIGIBLE CANDIDATES
Admission to this Post Graduate Program in AI and Machine Learning require:
2+ years of work experience preferred
A bachelor's degree with an average of 50 percent or higher marks
Basic understanding of programming concepts and mathematics
ADMISSION COUNSELORS
We have a team of dedicated admissions counselors who are available to guide you as you apply to the program. They are available to:
- Address questions related to your application
- Provide guidance regarding financial aid (if required)
- Help answer questions and better understand the program
Admission Fee & Financing
The admission fee for this Post Graduate Program in AI & Machine Learning is $ 5,000. It covers applicable program charges and Purdue Alumni Association membership.
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.
Apply Now
PROGRAM BENEFITS
- Complete this AI and machine learning course while you work
- Rigorous curriculum designed by industry experts
- Purdue Alumni Association Membership from Purdue University
- AI to create 58 million new jobs by 2022
- Active recruiters include Accenture, Amazon, IBM, and more
PROGRAM SCHEDULE
Date: 5 Dec-5 Dec
Time : 08:00 - 10:00 CST
Class Type:Weekend (Sat - Sun)
Date: 9 Jan-13 Feb
Time : 08:00 - 12:00 CST
Class Type:Weekend (Sat - Sun)
Date: 27 Feb-11 Apr
Time : 08:00 - 12:00 CST
Class Type:Weekend (Sat - Sun)
Date: 24 Apr-16 May
Time : 09:00 - 13:00 CDT
Class Type:Weekend (Sat - Sun)
Date: 29 May-27 Jun
Time : 09:00 - 13:00 CDT
Class Type:Weekend (Sat - Sun)
Date: 10 Jul-22 Aug
Time : 09:00 - 13:00 CDT
Class Type:Weekend (Sat - Sun)
Date: 4 Sep-3 Oct
Time : 09:00 - 13:00 CDT
Class Type:Weekend (Sat - Sun)
Date: 17 Oct-7 Nov
Time : 09:00 - 11:00 CDT
Class Type:Weekend (Sat - Sun)
FAQs
What is AI and machine learning?
AI stands for “artificial intelligence” and refers to the study and development of computer systems that are able to perform tasks traditionally limited to human intelligence, such as decision-making and speech recognition. The related field of machine learning is the study of giving computers the ability to learn and adapt without being explicitly programmed. These closely aligned fields of study are on the cutting edge of technology and in high demand, which is why AI and machine learning courses present such an enormous opportunity for students.
What are the eligibility criteria for the Post Graduate Program in AI and Machine Learning in Austin?
For admission to the Post Graduate Program in AI and Machine Learning in Austin, you should have:
- A bachelor's degree with an average of 50% or higher marks
- Basic understanding of programming concepts and mathematics
- 2+ years of experience (preferred)
What is the admission process for this Post Graduate Program in AI and Machine Learning in Austin?
The admission process consists of three simple steps:
- All interested candidates are required to apply through the online application form
- An admission panel will shortlist the candidates based on their application
- An offer of admission will be made to the selected candidates and is accepted by the candidates by paying the program fee
Is there any financial aid provided?
To ensure money is not a barrier in the path of learning, we offer various financing options to help you find this Post Graduate Program in AI and Machine Learning in Austin more affordable. Please refer to our “Admissions Fee and Financing” section for more details.
What are the financial aids available to enroll in this program?
We have partnered with Affirm to provide competitive financing options(EMI option available) including 0%APR with no hidden costs for different tenures.
What should I expect from the Purdue Post Graduate Program in AI and Machine Learning in Austin?
As a part of this Post Graduate Program, in collaboration with IBM, you will receive the following:
- Purdue Post Graduate Program certification
- Industry recognized certificates from IBM(for IBM courses) and Simplilearn
- Purdue University Alumni status
- Lifetime access to all (the core) of the e-learning content created by Simplilearn
- $1,200 worth of IBM Cloud credits for your personal use
- Access to IBM Cloud platforms featuring IBM Watson and other cloud services
Find Post Graduate Program in AI and Machine Learning in other cities
AtlantaBostonCharlotteChicagoDallasHoustonLos AngelesNew York CityPittsburghRaleighSan DiegoSan FranciscoSeattleTampaWashington- Disclaimer
- PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.