Earn AI & ML certificate from Purdue, the 8th most innovative university in the U.S.
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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.
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.
Other Cohorts
Date
Time
Batch Type
18 May, 2022
08:30 CDT
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.
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