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Professional Certificate in AI and Machine Learning
Boost your career with this AI and ML Certificate program, delivered in collaboration with Purdue University Online, Simplilearn, and IBM. Develop industry-level expertise in trending topics such as AI automation, ChatGPT, LLMs, deep learning, neural networks, chatbots, agentic frameworks, and more.
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Application closes on
June 11, 2025Program duration
6 monthsLearning Format
Live, Online, InteractiveProgram completion certificate from Purdue University Online and Simplilearn
Program completion certificate from Purdue University Online and Simplilearn
Obtain IBM certificates for IBM courses and get access to masterclasses by IBM experts
Gain experience through 15+ hands-on projects and 18+ tools with seamless access to integrated labs
Master AI, ML, and Generative AI with hands-on Python, Deep Learning, and Agentic Frameworks training. Gain real-world experience through projects and develop high-demand skills like AI automation, LLM proficiency, and machine learning. Stay ahead in the AI revolution and future-proof your career—start your journey today!
Key Features |
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Simplilearn Career Service helps you get noticed by top hiring companies |
Program completion certificate from Purdue University Online and Simplilearn |
Practical exposure to ChatGPT, LLM-based AI solutions, and other AI applications. |
Live interactive sessions on the latest AI trends, such as ChatGPT, generative AI, prompt engineering, and more |
Core curriculum delivered in live classes by industry experts |
3 capstones and 15+ hands-on projects from various industry domains. |
Live-online masterclasses delivered by Purdue faculty and staff and IBM experts |
Access to Purdue’s alumni association membership on program completion |
Exclusive hackathons and Ask Me Anything sessions by IBM |
Boost your career with an AI and ML certificate. Develop expertise in deep learning, Gen-AI, and AI automation, work on real-world projects, and get industry-recognized credentials. Stay ahead in the AI revolution and unlock top job opportunities.
This carefully curated artificial intelligence course will lead you toward a successful career in AI and ML. You will also explore some of the latest advancements in the AI space, such as ChatGPT and GenAI, create conversational Chatbots, and learn content generation and LLMs.
Discover the principles of AI automation, analysis, and much more from this AI ML Course, which is offered in collaboration with Purdue University Online. Begin your AI adventure by enrolling in this AI and ML course.
Apply the skills you’ve gained in this capstone project, tackling real-world industry challenges using AI and ML tools learned throughout the program. This hands-on experience will strengthen your expertise and help you stand out to potential employers.
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. Learn ChatGPT, its architecture, training methodology, and business applications. {*Areas mentioned above are subject to change}
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Develop a shopping app for an e-commerce company using Python.
Use data science techniques, like time series forecasting, to help a data analytics company forecast demand for different restaurant items.
Use exploratory data analysis and statistical techniques to understand the factors contributing to a retail firm's customer acquisition.
To understand their overall quality and sustainability, perform a feature analysis of water bottles using EDA and statistical techniques.
Use feature engineering to identify the top factors that influence price negotiations in the homebuying process.
Perform cluster analysis to create a recommended playlist of songs for users based on their user behavior.
Build a machine learning model that predicts employee attrition rate at a company by identifying patterns in their work habits and desire to stay with the company.
Use deep learning tools, such as CNN, to automate a system that detects and prevents faulty situations resulting from human error.
Use deep learning to construct a model that predicts potential loan defaulters and ensures secure and trustworthy lending opportunities for a financial institution.
Use distributed training to construct a CNN model capable of detecting diabetic retinopathy and deploy it using TensorFlow Serving for an accurate diagnosis.
Leverage deep learning algorithms to develop a facial recognition feature that helps diagnose patients for genetic disorders and their variations.
Examine accident data involving Tesla’s auto-pilot feature to assess the correlation between road safety and the use of auto-pilot technology.
Use AI to categorize images of historical structures and conduct EDA to build a recommendation engine that improves marketing initiatives for historic locations.
Disclaimer - The projects have been built leveraging real publicly available datasets from organizations.
An Immersive Learning Experience
Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.
Missed a class? Access recordings to always maintain learning progress and keep up with your cohort.
Expert guidance sessions from mentors for doubt clarifications, project assistance, and learning support.
Get a dedicated Cohort Manager for all your queries and help you succeed at every learning step.
AI, the revolutionary digital frontier, has far-reaching impacts on business and society. With the projected exponential growth of the AI market, this program is ideal for individuals striving to stay ahead of this transformative trend!
Expected global AI market value by 2027
Projected CAGR of the global AI market from 2023-2030
Expected total contribution of AI to the global economy by 2030
These AI and ML courses cater to working professionals across industries. Learner diversity adds richness to class discussions and interactions.
Candidates can apply to this AI and ML Course in 3 steps. Selected candidates can join the program by paying the admission fee.
Complete the application by providing the required details about yourself.
Complete the program fee payment via the Secure Your Seat option.
Start your program on the designated cohort start date.
Admission to this Professional Certificate in AI ML Course requires:
The admission fee for this AI and ML Course is $4,300. 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.
$430/month
You can pay monthly installments for Post Graduate Programs using Splitit or Klarna payment option with low APR and no hidden fees.
Date
Time
Batch Type
11 Jun, 2025
10:00 CDT
28 Jun, 2025 - 25 Jan, 2026
09:00 - 13:00 CDT
WeekendSaSu
In order to qualify for admission into this artificial intelligence course, candidates must meet any of the following requirements:
Should be at least 18 years of age and have a high school diploma
Possessing a foundational understanding of programming and mathematics is beneficial
Preferably have 2 years or more of work experience
The application procedure for this AI and ML certificate course consists of three simple steps:
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 paying the program fee.
Candidates will receive a payment receipt and access information once payment is confirmed. Take up this artificial intelligence course to upskill your career.
This AI and ML certificate course is designed to equip you with the skills to thrive in your career in the field. Taking up this course will also net you the following benefits:
Earn a program completion certificate from Purdue University Online and Simplilearn
Gain membership in Purdue’s Alumni Association
Join masterclasses led by Purdue faculty and staff, along with IBM experts
Explore a curriculum covering topics like applied AI, GenAI, NLP, prompt engineering, and more
Access Simplilearn's JobAssist services to connect with top hiring companies
Simplilearn's Global Teaching Assistance provides learners with a devoted team of subject matter experts to help prepare them for assessments by engaging with them proactively, providing rich learning experiences and also giving them job assistance where needed. They help ensure that learners sytematically follow the course plan through to the end.
You can choose to withdraw your enrollment if you need to. You will be provided with a refund of the course fee after an administration charge has been subtracted from the total amount. Please view our Refund Policy for more information.
Yes, this AI and ML certificate course is eligible for reimbursement. You can confirm with your employer or HR department regarding specific terms, educational benefits, or tuition assistance. Tuition vouchers can be used to better streamline the reimbursement process.
Such reimbursements can be claimed using completion certificates, detailed receipts, and course breakdowns and presented to your employer.
We have partnered with multiple partners to provide competitive financing options (EMI option available), including Low APR with no hidden costs for different tenures. Please refer to the financing section for more details.
Artificial Intelligence consists of machines performing tasks, while machine learning is a subset of AI consisting of algorithms and computational tasks that learn from data and improve without much need for programming to provide solutions. An artificial intelligence course can help you understand these foundational concepts in depth.
AI techniques usually focus on rule-based and expert systems to create machines that mimic human intelligence. ML, on the other hand, is used to identify patterns in data and uses it to make predictions to help make better decisions—skills that are thoroughly covered in a structured ai course.
This AI and ML course offers many benefits that can significantly impact your career and professional development. Here's what you can expect:
Advanced Learning: Gain expertise in cutting-edge AI and ML technologies.
Career Enhancement: Improve your career prospects and open doors to advanced roles in the tech industry.
Increased Earning Potential: Boost your prospects with highly sought-after skills.
Hands-On Experience: Engage in real-world projects to apply your learning practically.
Access to Expert Faculty: Learn from industry professionals and expert instructors.
Networking Opportunities: Connect with peers and industry leaders for future collaboration and growth.
This artificial intelligence course ensures that you are well-equipped to tackle advanced positions such as data scientist, machine learning engineer, and AI researcher.
Yes, AI and ML are good career options. AI and ML are in high demand, as they are essential for many businesses and industries. AI and ML skills are also highly sought-after, as they can be used to automate processes, create better user experiences, and unlock new insights from data. With the right skills and training, AI and ML professionals can find rewarding and lucrative jobs. Enrolling in an artificial intelligence course can be a great first step toward building a successful career in this field.
You can get started on your AI and ML engineer journey by following these steps:
Start by building strong foundations in computer science, mathematics and programming
Enroll in a top AI and ML certificate course and develop your fundamentals in concepts like Python and machine learning algorithms
Work on small projects to gain a better understanding of the tools and skills
Taking up an artificial intelligence course alongside these steps can further strengthen your understanding and accelerate your journey.
You can check out our roadmap on how to become an AI engineer to learn more.
Companies in sectors like healthcare, e-commerce, retail and automobiles are constantly exploring new AI technologies to adopt, resulting in a surge in demand for qualified professionals to help them stay ahead.Enrolling in an artificial intelligence course equips you with the cutting-edge skills and industry-relevant knowledge needed to remain competitive and future-ready in this rapidly evolving job market. Also , Fortune Business Insights predicts the global AI market will be worth $1,771.62 billion by 2032. It's fair to say that the current job market for AI and ML professionals will be thriving for the foreseeable future.
Taking up an AI and ML certificate course will help you stay ahead in the industry and boost your chances of succeeding in it.
AI and ML are becoming more and more popular as companies aim to adopt new technologies to stay competitive. These have, no doubt, increased the demand for qualified professionals capable of using such technologies to drive better results.
Those with training or an AI and ML certificate are bound to earn higher salaries, but this can also vary based on location and experience. Here's a look at the average annual salary of an AI engineer:
India - ₹8.45 Lakhs
US - $175,262
Completing this artificial intelligence course can open the door to several career paths and opportunities in various industries, requiring you to analyze complex data, design ML models, and conduct advanced AI research. You can explore a career in:
Data Science
ML engineering
AI research
Business intelligence development,
Robotics engineering
Software engineering and more
Python is widely regarded as the best programming language for AI and ML due to its simplicity, readability, and extensive library support. It offers powerful libraries like TensorFlow, Keras, and scikit-learn, essential for AI and machine learning projects. R, however, is to be noticed, as it is also popular, particularly for statistical analysis and data visualisation. Taking up an AI course—especially one focused on AI and ML—can help you gain proficiency in these languages and apply them effectively in real-world projects.
After completing this Artificial Intelligence and ML Certification Course, you will be eligible for the Purdue Alumni Association membership.
Becoming an efficient AI and ML professional requires a sound understanding of coding in order to excel in the industry. Enrolling in our artificial intelligence course will take you through the fundamentals of coding, prepping you to face challenges like code complexity, scalability and AI integration.
The masterclasses in this AI and ML certificate course are intended to provide you with everything you need to know about the latest trends in the AI space. Some topics include:
GenAI, its applications, and leveraging generative modeling to build products
Exploring ChatGPT, best practices, its architecture, and business applications
Using OpenAI with real-world applications and its role in NLP and AI
Discovering the use of chatbots and how companies like Microsoft, Google and Meta use them
And more.
During your learning journey, you have access to 24/7 support through email, chat, and calls. Simplilearn will provide you with a dedicated team that will be available to answer any of your questions at any time. Taking up this AI and ML course also gives you lifetime access to community forums, which you can engage with even after completing your course.
We have partnered with highly qualified instructors for this AI and ML certificate course who specialize in concepts like applied data science, machine learning and GenAI literacy, making them the perfect fit to train you. What's more, our rigorous selection process includes profile screening, high alumni rating, technical evaluation, and a training demo before training actually begins.
Simplilearn offers many options to help you upskill in AI & machine learning. These AI and ML certificate courses range from certification training courses to specializations to build specific skills designed to help elevate your knowledge and keep you competitive. Other popular AI and ML courses include:
Missing a live class won’t affect your ability to complete the course, thanks to our 'Flexi-Learn' feature. This allows you to watch any recorded session of a class you previously missed and stay updated with the course content to progress through the learning path and earn your certificate. All you have to do is visit the Simplilearn learning platform, select the missed class, and watch the recording to have your attendance marked.
An artificial intelligence course is a structured educational program designed to teach AI concepts, principles, techniques, and applications. It often includes theoretical knowledge, hands-on exercises, and real-world projects to equip learners with the skills to effectively develop and implement AI solutions. Key components typically include:
Covering foundational concepts like deep learning and neural networks.
Conducting sessions on technical skills like data analysis and programming languages like Python.
Focusing on key areas like machine learning algorithms, NLP, computer vision and more.
Introduction to common AI tools like TensorFlow and Keras.
Discussing ethical considerations of AI and emerging and future trends.
This AI course covers all the aspects mentioned above, providing a smooth and structured learning experience.
An AI engineer designs, develops, and implements artificial intelligence solutions to solve complex problems. They work with machine learning models, neural networks, and data analytics to create intelligent systems that can learn and adapt. They often collaborate with data scientists and software developers to integrate AI technologies into applications.
Career opportunities in AI have significantly increased, especially with the disruption it's been causing across industries like healthcare, finance, and computer science. After completing this AI course, you can likely explore several promising paths:
AI Engineer: Help develop and implement robust AI models and algorithms in various applications.
Data Scientist: Focus on analysing big data sets and developing actionable insights using the best AI techniques.
Machine Learning Engineer: Design, build, and develop machine learning systems and models.
AI Consultant: Act as an organization advisor on integrating AI solutions to optimize operations.
Business Intelligence Developer: Leverage the power of AI to create data-driven insights and growth strategies.
AI programs are at the forefront of the AI revolution. AI and machine learning skills are in high demand globally, and specialists with them attract substantial incomes. AI Engineers in the United States make roughly $125,000 per year on average (source: Payscale)
Simplilearn’s AI course is well-suited for professionals from diverse backgrounds who are interested in working as an AI, neural networks, or machine learning engineer, such as:
Analytical managers supervise a group of analysts.
Data architects who want to learn about artificial intelligence systems and algorithms.
Data analysts are interested in working in machine learning or artificial intelligence.
Professionals who are interested in artificial intelligence or machine learning as a profession.
Experts wish to improve their understanding of their fields by using artificial intelligence
Yes. You are eligible for one complimentary cohort change within the first 60 days of your enrollment. If you are unable to continue in your current cohort or have already used your complimentary change, you may request an additional cohort transfer by paying the applicable fee. For details on the process and support with your request, please reach out to our support team.
Yes. If your program access has expired and you still have pending assignments or projects, you can request a three-month extension by paying a nominal fee. During this extension, you’ll be able to access recorded sessions from the current cohort and complete your remaining learning requirements.