This AI ML certification course is ideal for working professionals with programming knowledge. It covers key concepts like Statistics, Machine Learning, Deep Learning, NLP, and Reinforcement Learning. This program is delivered through our interactive learning model with live sessions by global practitioners, labs, and industry projects.
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.
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. We are committed to your success, changing the student experience with a focus on collaboration and the creative use of technology.
This program is in collaboration with IBM, a leading innovator in Machine Learning and AI, providing industry-relevant exposure.
Simplilearn Career Service, powered by Talent Inc. helps to enable you to navigate career changes and get ready for the professional workforce.
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.
This AI and ML course cater to working professionals across industries. Learner diversity adds richness to class discussions and interactions.
Simplilearn's AI program is not only easy to follow but the materials are organized. Even a beginner like me was able to grasp the concept and practice with real-world projects. I have grown my portfolio quite a bit since I joined Simplilearn. Their affordable fees was also a big bonus for me too.
The 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.
The 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.
It 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.
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 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
We have a team of dedicated admissions counselors available to guide you as you apply for the AI and ML course. They are available to:
The admission fee for this AI and ML course is $ 4,500. 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.
29 Nov, 2021
3 Dec, 2021 - 12 Jun, 2022
21:30 - 00:30 CST
Weekend (Sat - Sun)
1 Dec, 2021
18 Dec, 2021 - 14 Aug, 2022
08:00 - 12:00 CST
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, you should have:
We have partnered with Affirm to provide competitive financing options(EMI option available) including 0%APR with no hidden costs for different tenures.
The admission process consists of three simple steps:
As a part of this Post Graduate Program, in collaboration with IBM, you will receive the following:
Upon successful completion of the program, you will be awarded a Post Graduate Program in AI and Machine Learning joint certification by Simplilearn and Purdue University. You will also get industry-recognized certificates from IBM and Simplilearn for the courses on the learning path after successful course completion.
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 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|
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 your course.
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 Post Graduate Program in AI and Machine Learning is offered on a non-credit basis and is not transferable to a degree.
To ensure money is not a barrier in the path of learning, we offer various financing options to help you find this AI ML courses more affordable. Please refer to our “Admissions Fee and Financing” section for more details.
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 Post Graduate Program Certificate in Artificial Intelligence and Machine Learning.
Simplilearn has partnered with Purdue University and IBM to design this comprehensive Post Graduate Program in AI and ML. The 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.
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 AI ML 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.
AI is a broad field and encompasses a number of job roles that you can explore. Some of them include an AI engineer, machine learning engineer, data scientist, NLP scientist, AI researcher, and business intelligence developer. Our AI and machine learning course can help you become eligible for all these jobs.
This AI and ML certification program is designed in partnership with the renowned Purdue University, and you will be entitled to membership in its Alumni Association upon course completion. You will get a rich learning experience with masterclasses organized by Purdue faculty and IBM experts. Moreover, Simplilearn also offers a JobAssist program to help learners get noticed by the top hiring companies.
Here are the key AI and machine learning courses covered in this program:
Our trainers have designed this program to help learners start with the basics and move on to the advanced concepts. Moreover, the concepts of one module are built upon the knowledge of previous modules. So, we recommend you to follow these AI and machine learning courses in the same order as mentioned in the learning path.
Some of the key modules we will cover in our AI and machine courses are:
AI Engineers are primarily responsible for developing, testing, and deploying AI models using various programming algorithms. They convert the machine learning models into APIs so that they can be used by other applications. Similarly, machine learning engineers work on building ML models and maintain scalable ML solutions in production. You can rely on our AI and machine learning courses to understand what it takes to step into the shoes of an AI engineer.
Learners need to have a basic understanding of programming concepts and mathematics before enrolling in this AI and ML certification program.
With high demand but a scarcity of AI talent, companies are ready to pay higher salaries to certified AI professionals. Here is a glimpse of the average annual salary of an AI engineer across major countries (Source: Payscale):
Indeed, AI and machine learning is a rewarding career option and the AI job market has been growing at a phenomenal rate. The Jobs and Salaries Prime Report by the staffing company TeamLease named AI Specialist as one of the hottest jobs of 2021. Their demand is high not only in the IT industry, but in healthcare, banking, manufacturing, and other sectors as well. You can take our AI and machine learning courses to become a part of this growing field.
Yes, AI and machine learning engineers need good coding skills to succeed in their careers. Our AI and machine learning courses can equip you with all the necessary skills.
The following refresher courses as part of this program to get you started: