Post Graduate Program in AI and Machine Learning, Austin
Ranked No.1 AI and ML Course by TechGig
Put your career in the fast lane with our extensive AI and ML Course in Austin, in collaboration with Purdue University and IBM. Simplilearn’s AI ML certification involves a cutting-edge curriculum, higher live interaction, masterclasses, hackathons, and hands-on industry projects to give you a rich learning experience. Become an AI expert today with our AI ML course in Austin and increase your marketability in this domain.
- Next Cohort starts 5 Jan, 2024
- Program Duration 11 months
- Learning Format Online Bootcamp
World’s #1 Online Bootcamp
Why Join this Program
Purdue’s Academic Excellence
Program completion certificate from Purdue University and Simplilearn
IBM’s Industry Prowess
Obtain IBM certificates for IBM courses and get access to masterclasses by IBM experts
Exposure to latest AI trends
Live online classes for generative AI, prompt engineering, explainable AI, ChatGPT, and much more
Hands-on Experience
Gain experience through 25+ hands-on projects and 20+ tools with seamless access to integrated labs
AIML Course Overview
The AI and ML Course in Austin includes Python, reinforcement learning, statistics, NLP, machine learning, and deep learning networks. You will learn how to deploy deep learning models on the cloud via AWS SageMaker, build Alexa skills, and access GPU-enabled labs with this AI ML Certification in Austin. You can also explore AI tools like TensorFlow, Scikit-learn, OpenAI Gym, and more.
Key Features
- Simplilearn Career Service helps you get noticed by top hiring companies
- Program completion certificate from Purdue University and Simplilearn
- Gain exposure to ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
- Live interactive sessions on the latest AI trends, such as ChatGPT, generative AI, prompt engineering, and more
AI ML Certification Course Advantage
Our curriculum equips you with the skills and knowledge to excel in your career. With a structured learning approach and industry-relevant projects, you will be able to tackle complex challenges and stay at the forefront of this field.
Partnering with Purdue University
- Receive a joint Purdue-Simplilearn certificate
- Masterclasses by Purdue faculty
- Purdue University Alumni Association membership
Program in Collaboration with IBM
- Industry recognized IBM certificates for IBM courses
- Masterclasses from IBM experts
- Access to Ask Me Anything sessions and Hackathons
AI and ML Course Details
Through the various modules provided in this carefully curated AI and ML course, you will be on your way toward a successful career in AI and ML. You will also explore some of the latest advancements in the AI space such as ChatGPT, generative AI, and explainable AI among others
Learning Path
Discover the principles of automation, analysis, and much more from the AI ML Course, which is offered in collaboration with Purdue University. Begin your AI adventure by taking the AI and ML course on statistics and intelligent computing.
- AI areas: generative AI, prompt engineering, and ChatGPT.
- Practical learning: Gain hands-on experience to utilize these technologies
- Focus on prompt engineering: Understand its significance in producing specific outputs.
- Comprehensive insights: Learn how to leverage AI advancements for practical business solutions.
- Procedural & OOP understanding
- Python's Advantages Exploration
- Jupyter Notebook utilization
- Implementing identifiers, indentations, comments
- Python data types, operators, strings
- Mastery of Python loops
- OOP principles comprehension
- Methods, attributes, access modifiers insight
- IBM-designed course on Python for data science.
- Python scripting proficiency.
- Hands-on data analysis using Jupyter Lab.
- Python fundamentals emphasized: strings, Lambda functions, and lists.
- NumPy for array manipulation
- Linear algebra basics
- Statistical concepts (central tendency, dispersion, skewness, covariance, correlation).
- Hypothesis testing methods covered: Z-test, T-test, ANOVA, and pandas data manipulation.
- Data visualization skills acquired: Matplotlib, Seaborn, Plotly, and Bokeh libraries
- Studying the machine learning pipeline.
- Supervised learning: regression, classification.
- Experience in unsupervised learning: clustering and ensemble modeling.
- Evaluation of TensorFlow, and Keras frameworks.
- Hands-on with PyTorch for recommendation engines.
- Comprehensive understanding of ML approaches & applications.
- Elevate ML skills with deep learning.
- Learn TensorFlow and Keras.
- Proficiency in deep learning concepts.
- Construct artificial neural networks.
- Navigate data abstraction layers.
- Unlock data potential for AI advancements.
- Explore deep learning vs. machine learning.
- Fundamental concepts & applications covered.
- Topics include neural networks, propagation, TensorFlow 2, and Keras.
- Performance enhancement & model interpretability techniques.
- CNNs, transfer learning, object detection.
- RNNs, autoencoders, PyTorch neural networks.
- Effective building & optimizing models with Keras, and TensorFlow.
Implement the skills you will gain throughout this program in this capstone project. You will solve industry-specific challenges by leveraging various AI and ML tools and techniques learned in the program modules. This project will help you showcase your new expertise to potential employers.
Electives:
Attend an online interactive masterclass and get insights about advancements in technology/techniques in Data Science, AI, and Machine Learning.
Attend these online live sessions delivered by industry experts to gain insights about the latest advancements in the AI space. Some of the areas and concepts covered include Generative AI and its Applications, Leveraging the power of generative modeling to build innovative products, Building and deploying GPT-powered applications Demystifying ChatGPT, its architecture, training methodology, and business applications, and Applications of ChatGPT. {*Areas mentioned above are subject to change}
- Advanced computer vision & deep learning.
- In-depth knowledge & practical skills focus.
- Topics: image formation, CNNs, object detection.
- Image segmentation, generative models.
- Optical character recognition covered.
- Distributed & parallel computing.
- Explainable AI (XAI) exploration.
- Deep learning model deployment skills.
- Advanced ML algorithms for language data.
- Focus on natural language understanding.
- Feature engineering exploration.
- Natural language generation skills.
- Automated speech recognition is covered.
- Speech-to-text, text-to-speech conversion.
- Voice assistance device development.
- Building Alexa skills emphasis.
- RL core concepts exploration.
- Problem-solving skills in RL.
- Strategies in Python, TensorFlow.
- Theoretical RL foundations learning.
- Practical RL algorithm application.
- Proficiency in diverse applications.
- Effective use of RL in scenarios.
- Transformer role in modern AI comprehension.
- Neural networks for generation tasks analysis.
- Different generative model types: VAEs, GANs, transformers, autoencoders.
- Appropriate scenarios for diverse AI models.
- Attention mechanisms' role and efficacy.
- Analyzing popular generative models: GPT, BERT.
- Contrasting model architectures and objectives.
Program Advisors and Trainers
Program Advisors
Venkata N Inukollu
Assistant Professor, Purdue UniversityVenkata 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.
Program Trainers
Simon Travasoli
25+ years of experienceSenior Data Science Consultant at Citi Bank
Rocky Jagtiani
24+ years of experienceAI and ML Trainer
Nikhil Garg
16+ years of experienceData Science Instructor
Nitin Gujral
15+ years of experienceFounder at Cramlays
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
Join the AI and ML industry
AI, the revolutionary digital frontier, has far-reaching impacts on business and society. With the projected exponential growth of the AI market, this course is ideal for individuals striving to stay ahead of this transformative trend!
$267 billionExpected global AI market value by 2027
37.3%Projected CAGR of the global AI market from 2023-2030
$15.7 trillionExpected total contribution of AI to the global economy by 2030
Companies hire AI engineer
Batch Profile
These AI and ML courses cater to working professionals across industries. 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
Alumni Reviews
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.
Aditya Shivam
Manager
What other learners are saying
Admission Details
Application Process
Candidates can apply to this AI and ML Course in 3 steps. Selected candidates can join the program by paying the admission fee.
Submit Application
Tell us why you’d want to do this AI and ML Course
Application Review
An admission panel will shortlist candidates based on their application
Admission
Selected candidates start the AI and ML Course in 1-2 weeks
Eligibility Criteria
Admission to this Post Graduate Program in AI ML Course requires:
Admission Fee & Financing
The admission fee for this AI and ML Course is $ 4,500. 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.
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
$ 4,500
Apply Now
Program Benefits
- Program certificate from Purdue University and Simplilearn
- Exposure to generative AI, explainable AI, ChatGPT and more
- Understand the applications of prompt engineering
- Purdue Alumni Association Membership eligibility
- Rigorous curriculum delivered by industry experts
Program Cohorts
Next Cohort
Other Cohorts
Date
Time
Batch Type
- Program Induction
8 Jan, 2024
07:30 CST
- Regular Classes
27 Jan, 2024 - 28 Jul, 2024
07:30 - 11:30 CST
Weekend (Sat - Sun)
AI and ML Course FAQs
What is AI and Machine Learning?
The study and development of computer systems that can execute activities previously confined to human intellect, such as decision-making and voice recognition, is AI. Machine Learning is a related area that studies how to teach computers to learn and adapt without being explicitly programmed. These closely related disciplines of study are at the bleeding edge of technology and in great demand, so AI ML Certification provide such a huge potential for students.
What are the eligibility criteria for the Professional Certificate Program in AI and Machine Learning in Austin?
For admission to the Professional Certificate Program in AI and ML Course 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 AI and ML Course in Austin?
The admission process for AI and ML Course in Austin 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 AI and ML Certification fee
What is the salary of an AI and Machine Learning expert in Austin?
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 ML Course 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.
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 Professional Certificate Program in AI and ML Course 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 AI and Machine Learning Course?
We have partnered with Affirm to provide competitive financing options(EMI option available) including 0%APR with no hidden costs for different tenures.
Post Graduate Program in AI and Machine Learning, Austin
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:
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