Earn AI & ML certificate from Purdue, the 8th most innovative university in the U.S.
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Build your resume and prepare for interviews with valuable insights from industry experts
25+ industry relevant projects from the likes of Amazon, Walmart, Uber, Mercedes Benz.
The PG Program in AI and ML in Austin includes Python, reinforcement learning, statistics, NLP, machine learning, and deep learning networks. With this PG Program in AI and ML in Austin program you can deploy deep learning models on the cloud via AWS SageMaker, build Alexa skills, access GPU-enabled labs, and do much more.
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.
Unlock your potential as an AI and ML professional with our AI and Machine Learning courses. You will learn about various AI-based technologies, including Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Speech Recognition, and Reinforcement Learning.
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 ML 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 with these AI and ML certification courses.
With this AI ML course, elevate your Python skills to a new level and establish your mastery of Data Science and Analytics techniques using Python programming.
With these AI ML courses, you will master machine learning techniques, including supervised and unsupervised learning and hands-on modeling, rounding out your artificial intelligence education.
AI ML certification courses include 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.
AI ML courses 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 the cloud.
At the end of the AI ML certification course, 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.
AI and ML certification course 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).
AI ML certification course makes you learn how to solve reinforcement learning problems with various strategies, using Python and TensorFlow, and apply different algorithms to solve problems.
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, AI, and Machine Learning.
Attend this online interactive industry master class to gain insights about advancements in Data Science, AI and Machine Learning techniques.
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.
Help Zomato to detect and clean the cases of rating and review mismatch, ensuring ratings reflect the true reviews helping to build customer trust.
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.
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.
Venkata N Inukollu earned his Ph.D. in Computer Science from Texas Tech University. He received his Master’s degree in Software Systems from BITS - Pilani, India. He has interests in software engineering and testing in AI and machine learning.
By 2021, IDC predicts Data Science and cognitive computing spending will reach $52.2 billion. Data Scientist is one of the hottest professions.
Annual Job Growth By 2026
Expected New Jobs For Data Science By 2026
Average Annual Salary
These AI and ML courses cater to working professionals across industries. Learner diversity adds richness to class discussions and interactions.
As a software engineer, I was working on application development using Oracle forms, SQL, and database languages. I wanted to explore better technologies in the market and got to know that Machine Learning and Big Data revolved around SQL. When I started looking for training institutes, Simplilearn was referred to me. What I liked most about Simplilearn’s AI and ML program was the context of the training and student-to-trainer engagement.
Candidates can apply to this AI ML course 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 course
An admission panel will shortlist candidates based on their application
Selected candidates start the AI and Machine Learning program in 1-2 weeks
For admission to this Post Graduate Program, candidates should have:
The admission fee for this AI and ML course is $ 4,849. It covers applicable program charges and Purdue Alumni Association membership.
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.
17 May, 2022
20 May, 2022 - 4 Dec, 2022
22:30 - 02:30 CDT
Weekend (Sat - Sun)
18 May, 2022
28 May, 2022 - 18 Dec, 2022
08:30 - 12:30 CDT
Weekend (Sat - Sun)
AI stands for “Artificial Intelligence” and refers to the study and development of computer systems that can 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 ML courses present such an enormous opportunity for students.
For admission to the Post Graduate Program in AI and Machine Learning in Austin, you should have:
The admission process consists of three simple steps:
The average annual salary of an AI and Machine Learning professional in Austin is $107,026, which increases with experience. Choosing a career in this field is a good decision given the growing popularity of this course. People who have done AI and Machine Learning training in Austin can earn a hefty amount in this city. The tech scene in Austin is constantly developing, giving rise to better opportunities for interested candidates.
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.
We have partnered with Affirm to provide competitive financing options(EMI option available) including 0%APR with no hidden costs for different tenures.
As a part of this Post Graduate Program, in collaboration with IBM, you will receive the following:
Upon successful completion of the program in Austin, you will be awarded a Post Graduate Program in AI and Machine Learning certification by Purdue University. You will also get industry-recognized certificates from IBM and Simplilearn for the courses on the learning path after successful course completion.
People with a tech-savvy background can find many jobs in Austin, thanks to the numerous IT firms. The most popular companies that need ai/ml professionals in Austin are General Motors, Apple, IBM, Thermo Fisher, Ultra Electronics, Pearson, Quantitative Systems, Cart.com, and more. People with AI and Machine Learning training in Austin can land a job in these companies.
Austin is a culturally diverse city with a wide range of occupations. This city has a little bit of everything, yet some industries offer better career prospects. Austin's most important industries are education, insurance, healthcare, and technology. In addition, well-known industries include space technology, life science, and creative media. If individuals have the necessary qualifications like an AI and Machine Learning course in Austin, they can land a career in one of the profitable sectors.
You must first complete the AI and Machine Learning training in Austin to be an AI and Machine Learning professional. The expert can build tools like chatbots, thus helping the organization run smoothly. You must have expertise in concepts like natural language processing, advanced analytics, and Machine Learning. On training completion, one can secure a job as an AI and ML expert in Austin.
Any institute that offers AI and Machine Learning training in Austin must have its legitimacy and authenticity reviewed. One can do this by comparing different institutes in Austin that provide AI and Machine Learning specialized degrees. One must go through the reviews before enrolling in any course. Ensure to check if the course material compliments your interests as well.
Once you make the first installment of the program fee, you will get access to AI and ML courses, which consist of eight to 10 hours of self-paced learning content in the form of videos. You will have to go through the assigned course before attending the first class.
Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in both AI and Machine Learning on your first attempt. They engage students proactively to assure the course path is followed and to help you enrich your learning experience, from class onboarding to project mentoring and job assistance.
All of our highly qualified AI and Machine Learning instructors are industry experts with years of relevant experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain part of our faculty.
Upon completion of the following minimum requirements, you will be eligible to receive the Post Graduate Program certificate that will testify to your skills learned in AI ML Course as an expert in AI and Machine Learning.
|Course||Course completion certificate||Criteria|
|Programming Refresher||Required||85% of Online Self Paced completion|
|Introduction to AI||Required|
|Data Science with Python||Required||
|Natural Language Processing and Speech Recognition||Required|
|Deep Learning with Tensorflow and Keras||Required|
|Advanced Deep Learning||Required|
|AI and Machine Learning Capstone Project||Required||Attendance of 1 live virtual classroom and successful completion of the capstone project|
If you are not able to access the AI and ML Courses, Contact us using the form on the right side of any page on the Simplilearn website, select the Live Chat link, or contact help and support.
We offer 24/7 support through email, chat, and telephone. We have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of ai ml courses online.
Yes, you can cancel your enrollment if necessary. We will refund the program price after deducting an administration fee. To learn more, you can view our Refund Policy.
This PG Program in AI and Machine Learning is offered on a non-credit basis and is not transferable to a degree.
AI is often used to describe machines that mimic "cognitive" functions that humans associate with the human mind, such as learning and problem-solving. AI has spread its wings across sectors and industries, including healthcare, finance, education, retail, eCommerce, and more, making it a lucrative field. And to grab the best opportunities in the field, a world-renowned certification (especially from a prestigious university) acts as a career catalyst.
Machine learning techniques, understanding NLP, and expertise in Deep Learning algorithms are key technologies you must master to develop AI skills. Simplilearn’s AI and ML course includes all of these and more and will help you become an AI and ML expert in 12 months!
The AI job market is thriving and is estimated to hit $191 billion by 2024 globally. The growth of AI could create 58 million jobs across multiple industry sectors in the next few years, according to a report by the World Economic Forum. AI is already being used in several markets and it makes sense to upskill and embark on a career in AI.
Participants have to complete the AI and ML course syllabus along with the assessments and projects involved. Your course-end assessments, projects, and capstone projects will be evaluated by subject matter experts. You will have to score above 75 percent in the assessments, successfully complete the projects, and respond to the trainer’s feedback to achieve the PG Program in AI and Machine Learning.
Simplilearn has partnered with Purdue University and IBM to design this comprehensive Post Graduate Program in AI and ML. The AI ML course advisor is a Purdue University faculty member and you’ll receive a rich learning experience throughout the program. There are masterclasses delivered by Purdue faculty and IBM experts to help you gain an in-depth understanding of AI/ML concepts.
Some of the most popular job roles in the field of AI and machine learning include:
Professionals and students hoping to become AI Engineers should first start learning the basics of AI, statistical analysis, data modeling, and know at least one programming language such as Python or R. They should then move on to advanced areas like data analysis, data manipulation, Hadoop, and machine learning. Knowledge of deep learning and business intelligence tools like Tableau or Qlikview would further enhance your AI career.
Industrial sectors such as information technology, FinTech, healthcare, BFSI, and eCommerce are best suited for AI professionals with AI and ML course.
Professionals skilled in AI and Machine Learning are highly sought after in a wide spectrum of companies, along with tech giants like Google, Accenture, IBM, Amazon, and Microsoft.
Yes, you are supposed to have a bachelor’s degree with an average of 50% (or higher) if you wish to enroll in these AI and Machine Learning courses.
You will get a Purdue Alumni Association Membership after completion of the PGP AIML certification course.
Yes, you can access the course content even after the completion of the AI and ML courses.
You can join the AI ML certification course even if you do not belong to a technical background. However, having a basic knowledge of programming languages and mathematics will be beneficial.
Yes, you can enroll in the AI and ML courses even if you don’t have any prior knowledge in AI and Machine Learning since this course will take you through the fundamentals to the top of the ladder, where you learn all the advanced critical AI and Machine Learning skills.
Simplilearn’s AI ML certification course will help you learn a dozen of top skills and tools including, Python, Keras, Tensorflow, Django, and so much more. Not just that, you also get access to capstone in 3 domains and over 25 hands-on industry projects to implement and practice the skills you have learned during the program.
Simplilearn and Purdue University have collaborated to bring you an extraordinary learning experience. A high-engagement classroom learning environment meets the ease and convenience of a digital platform. In this AI ML certification course, you will learn 30+ tools and skills, get masterclasses from Purdue faculty, perform capstone and other industrial projects. And all of this happens in a cohort format where you learn alongside equally-driven professionals faster and better.
Anyone who has a keen interest and a passion for new-age tech skills can enroll in this AI ML certification course. However, you are expected to have a bachelor's degree with a minimum of 50% marks. On the other hand, it is also beneficial to have a basic understanding of programming languages and mathematics.
We have a team of dedicated admissions counselors who can guide you as you apply for these AI and ML courses.
Post Graduate Program are certification programs and do not include any transcripts for WES, this is reserved only for degree programs. We do not offer sealed transcripts and hence, our PG programs are not applicable for WES or similar services.
The population of Austin, Texas' self-proclaimed odd city, is 978,908 inhabitants as of 2019. Its GDP in 2019 was $159 billion, making it a major urban economy across the country. The city's economy has expanded a little each year, thanks to the booming tech industry. The city is 305.1 square miles in size and is at the height of 289–1,450 feet. Water covers around 7.2 square miles of this area, providing relief from Austin's hot and humid summers.
Austin's humid subtropical climate allows for only brief, warm winters. With the tagline "Keep Austin Weird," the inhabitants of this city try to preserve the city's distinctiveness. It promotes the development and preservation of small companies and varied cultures.
Austin is well-known in the United States as a unique and entertaining city. The location is renowned for its ties to various musical genres, including country, blues, and rock. It boasts a well-developed cityscape with all of the required technology, but it also has several parks and lakes. Austin residents have the dedication to environmental preservation, which is why there are numerous hiking, swimming, boating, and biking trails. The following are some must-see spots in the music, entertainment, and technology hotspot:
2021 Guadalupe Street, Suite 260 Austin, TX 78705 United States