Put your career in the fast lane with our extensive PG Program in AI and ML in Washington, in collaboration with Purdue University and IBM, pertaining to Machine Learning and AI. The certification of the PG Program in AI and ML in Washington will help you become an AI and ML expert.
Earn AI & ML joint certificate from Purdue University and Simplilearn.
Obtain IBM certificates for IBM courses and get access to masterclasses by IBM
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 Washington includes Python, reinforcement learning, statistics, NLP, machine learning, and deep learning networks. With this PG Program in AI and ML in Washington program you can deploy deep learning models on the cloud via AWS SageMaker, build Alexa skills, access GPU-enabled labs, and do much more.
|Simplilearn Career Service helps you get noticed by top hiring companies|
|Professional Certificate Program certificate and Alumni Association membership|
|3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more|
|Exclusive hackathons and Ask me Anything sessions by IBM|
|Master Classes delivered by Purdue faculty and IBM experts|
|8X higher live interaction in live online classes by industry experts|
In association with Purdue University and in partnership with IBM, this extensive Professional Certificate Program in AI and Machine Learning will assist you in pursuing a career in AI, Computer Vision, Machine learning, and Deep Learning.
In collaboration with Purdue, our AI and Machine Learning Course will help you unlock your AI and ML potential. You'll study Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Speech Recognition, and Reinforcement Learning with Simplilearn's AI ML course online.
Discover the principles of automation, analysis, and much more from the Post Graduate Program in AI and Machine Learning, which is offered in collaboration with Purdue University. Begin your AI adventure by taking the AI ML courses on statistics and intelligent computing.
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 Machine Learning 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 Machine Learning 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.
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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.
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
Admission to this Professional Certificate Program in AI and Machine Learning requires:
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.
You can pay monthly installments for Post Graduate Programs using Splitit, Affirm or ClimbCredit payment option with low APR and no hidden fees.
We provide the following options for one-time payment
10 Oct, 2022
29 Oct, 2022 - 25 Mar, 2023
08:30 - 12:30 CDT
Weekend (Sat - Sun)
9 Nov, 2022
18 Nov, 2022 - 16 Apr, 2023
21:30 - 01:30 CST
Weekend (Sat - Sun)
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 courses provide such a huge potential for students.
For admission to the Post Graduate Program in AI and Machine Learning in Washington, D.C., you should have:
The admission process consists of three simple steps:
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 Washington, D.C. 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 Washington, D.C., 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.
A software engineer in Washington gets an average salary of $89,940 annually. Doing a PG Program in AI and ML in Washington, D.C. can greatly enhance your chances of negotiating an even better salary, especially when combined with the experience you already have and the skill set you possess.
Many companies in the Washington, D.C. area are looking for candidates with proficiency in artificial intelligence. When you complete a PG Program in AI and ML in Washington, D.C., you’d have a vista of companies looking for a candidate with your skills. Some of these companies that are hiring include Facebook, Harnham, Sorcero and Arrow Electronics.
The Federal Government is one of the biggest industries in Washington, D.C. Alongside, it also has a number of industries with a major presence in Washington, D.C., including Security Technology and Healthcare. Most companies from these industries look to hire Artificial Intelligence Engineers, so a PG Program in AI and ML in Washington, D.C. will greatly help.
An entry-level AI Engineer with PGP AI machine learning certification in Washington may expect to earn an average yearly income of $113,426. Jobs in AI are intended to be future-proof, which means they will be around for a long time.
Artificial intelligence engineers will continue to be in great demand across a wide range of industries, including technology, banking, government, and consulting. Apple, Microsoft, Facebook, Expedia, Amazon, and other large corporations are hiring professionals who have completed PGP AI machine learning certification in Washington.
Agriculture, tourism, lumber, computer software, aviation, and aluminum refining are among Washington’s significant sectors. Agriculture is the most important of these, accounting for $9.5 billion in the state’s GDP. AI is used in all of these sectors and individuals with PGP AI machine learning certification in Washington are always in demand
AI engineers often need a bachelor’s degree in a relevant field, such as computer science. You can get a career as an artificial intelligence engineer with a certification and a related undergraduate degree. A certification such as PGP AI machine learning certification in Washington can help you land better jobs.
To look for PGP AI machine learning certification Washington courses, you’ll need a phone and access to the internet. Find courses online, read and understand the curriculum, double-check details such as costs and instructors, and then apply for the course.
After you pay the first installment of the AI ML Course Online program price, you'll get admission to AI and ML course sessions, including 8 to 10 hours of self-paced educational video content. Before joining the first class, you must complete the prescribed course.
Our teaching assistants are a devoted team of experts to ensure you pass the AI and Machine Learning certification exams on your first try. From class enrollment through project mentorship and employment aid, they actively engage and effectively contact you to ensure that the course plan is followed and to help you expand your experiential learning.
Our AI and Machine Learning professors are all industry specialists with years of expertise in the field. Before they are qualified to train for us, they have undergone a thorough selection procedure that includes profile assessment, technical examination, and a training presentation. We also ensure that only instructors with a high alumnus rating stay on our ML AI Course staff.
You will be qualified for the certificate if you fulfill the specified minimum standards and attest to your abilities gained in the AI ML Course as an expert in data science.
|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|
Reach us via the form on the right side of any webpage on the Simplilearn website, pick the Live Chat option, or email support and assistance if you cannot access the AI and ML Courses.
We provide email, chat, and phone help around the clock. We have a trained team that offers on-demand support through our discussion board. Furthermore, even after completing ai ml courses online, you will have unlimited access to the discussion board and forum threads.
This PG in AI and Machine Learning is non-credit and does not lead to a degree.
Machines that simulate "mentally intellectual" capabilities that people identify with the human brain, such as learning, decision making, and problem-solving, are commonly referred to as AI. Healthcare, banking, entertainment, commerce, online shopping, and other industries have all embraced AI, making it a profitable area. A world-renowned credential (particularly from a reputable university) functions as a career stimulant for grabbing the most excellent possibilities in the area.
Machine learning methodologies, NLP knowledge, and Deep Learning algorithms expertise are essential technologies to grasp to create AI talents. These and more are covered in Simplilearn's AI and ML course, which can help you become an AI and ML specialist in just 12 weeks.
The AI job industry is booming, with worldwide revenues expected to reach $191 billion by 2024. According to a World Economic Forum estimate, AI might create 58 million employment across several areas of the economy over the next few years. AI is already being used in various industries; thus, it makes perfect sense to acquire new skills and pursue an AI profession.
Participants must finish the AI and ML course coursework and the associated examinations and projects. Professionals will evaluate your class end exams, projects, and capstone projects. To get the Program in AI and Machine Learning, you must score over 75% on the examinations, finish the projects satisfactorily, and reply to the trainer's input.
In the domain of AI and machine learning, many of the most prominent career roles include:
This extensive Professional Certificate Program in AI and ML was developed in collaboration with Purdue University and IBM. A Purdue University faculty member serves as your AI ML course adviser, and you'll have optimal learning throughout the program. Purdue academics and IBM professionals will give masterclasses to assist you in obtaining a more profound knowledge of AI/ML concepts.
Professionals and students interested in becoming AI engineers should first study the fundamentals of AI, statistical analysis, and data modeling, as well as at least one scripting language like Python or R. After that, they should go on to more sophisticated topics like data processing, manipulation of data, Hadoop, and Computer vision. Deep learning and business analytics technologies such as Tableau or Qlikview can help you advance in your AI career.
AI experts with AI and ML course training are best suited for industries like information technology, FinTech, healthcare, BFSI, and eCommerce.
Professionals with AI and Machine Learning skills are in great demand across various industries, including Google, Accenture, IBM, Amazon, and Microsoft.
If you want to enroll in these AI and Machine Learning courses, you must have a bachelor's degree with a 50 percent (or greater) average.
After completing this AIML certification course, you will be eligible for the Purdue Alumni Association membership.
Yes, even after completing the AI and ML courses, you may access the course content.
Even if you have no technical expertise, you may enroll in the AI Machine Learning certification course. A rudimentary understanding of programming languages and mathematics, on the other hand, will be advantageous.
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 teach you various top skills and technologies, such as Python, Keras, Tensorflow, Django, and more. You'll receive access to capstone projects in three domains and over 25 hands-on professional assignments to put what you've learned into practice.
Simplilearn and Purdue University have teamed up to provide you with an incredible learning experience. The simplicity and comfort of a digital channel meet the elevated classroom setting. You will acquire 30+ tools and skills in this AI Machine Learning certification course, receive masterclasses from Purdue experts, and complete capstone and other industrial projects. And it all happens in a cohort setting, where you learn quicker and more effectively with other similarly motivated professionals.
This AI ML certification course is open to anybody interested in and loves cutting-edge technology. You must, however, have a bachelor's degree with a minimum grade point average of 50%. However, having a rudimentary grasp of programming languages and mathematics is also advantageous.
We have a staff of specialized admissions counselors that can assist you with your AI and ML course applications.
Professional Certificate Programs 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 programs are not applicable for WES or similar services.
Simplilearn’s Professional Certificate Program in AI and Machine Learning has been ranked as the best AI and Machine Learning course in India by TechGig. Simplilearn has been titled the #1 AI ML certification course, based on the following criteria, i.e., depth of curriculum, interactive hands-on learning, program recognition, and student experience.
Washington, D.C. is not part of any state and is under the exclusive jurisdiction of the U.S. Congress. The city was named after the first president of the United States. There are about 6.3 million residents in the Washington, D.C. metropolitan area, according to an estimate in 2019, and a gross product of around $500 billion.
Washington, D.C. is a mostly humid and hot weather city but can get milder in the spring and fall. Blizzards are not all that common during winter, but you can always expect a little snow. About 60% of the population in Washington, D.C. comes under the demographic of African American or Hispanic, according to data from a decade ago.
Tourism is the second-largest industry in Washington, D.C. That’s not a surprise because of the many attractions and landmarks present in the city. Some of the destinations to visit while in Washington, D.C. is:
1300 I Street NW, Suite 400E Washington, DC 20005 United States
Most people don’t realize that machine learning, which is a type of artificial intelligence (AI), was born in the 1950s.
The manufacturing industry is undergoing a massive transformation, as advanced technologies are streamlining the way complex processes are managed.
It can be fascinating to watch two revolutionary yet distinct technology segments converge.
Big O Notation is one of the most necessary mathematical notations used in computer science to measure an algorithm's efficiency.