Explore our cutting-edge No Code AI & Machine Learning program, a collaboration between Purdue University Online and Simplilearn. Empower yourself to create and deploy machine learning models without writing a single line of code.
Joint program completion certificate from Purdue University Online and Simplilearn
Become eligible for a membership at the Purdue University Alumni Association
Gain exposure to DataRobot, Dataiku, Amazon SageMaker Canvas, and other prominent tools
Enhance your resume and showcase your profile to recruiters with career assistance services
This program enables you to master no-code AI and ML platforms, empowering you to perform data analysis, build models, and make data-driven decisions with ease. Gain hands-on experience with intuitive drag-and-drop interfaces, automated machine learning, and visual workflows.
Gain a competitive edge with applied learning in the groundbreaking arena of no-code AI. This program enables you to make data-driven decisions using AI & ML without writing code, empowering you to build intelligent solutions with no-code platforms.
Gain a competitive edge through practical experience in the field of no-code AI and ML. Gain hands-on experience across diverse subjects such as data collection, data cleaning, and machine learning algorithms. Additionally, delve into advanced topics such as ensemble methods, SVM, ANNs, and NLP.
Get started with the No Code AI and Machine Learning Specialization, delivered jointly by Purdue University Online and Simplilearn. Kickstart your learning journey and explore the ability to build practical AI solutions using no-code tools.
Attend an online interactive masterclass and get insights about advancements in technology/techniques in No Code Machine Learning.
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Explore a sales dataset with Amazon SageMaker Canvas, clean and analyze data, apply visualization and statistical techniques, and enhance your analytical skills.
Create a predictive model to forecast TV ad revenue, improving revenue predictions based on promotional spending and optimizing marketing resource allocation for higher returns.
Build an SVM model to predict customer churn for a telecom company, improving retention strategies by analyzing demographics and usage patterns to reduce revenue loss.
Enhance sentiment analysis accuracy on social media data through text preprocessing: normalization, stemming, stop word removal, and tokenization for better insights.
Use Amazon SageMaker Canvas for data analysis and visualization. Create data flows, analyze results, and uncover patterns in machine failure to gain valuable insights.
Use DataRobot to develop and evaluate a linear regression model for predicting car prices. Analyze relationships like model, mileage, and age for accurate price predictions.
Enhance data quality with Amazon SageMaker Canvas: create data flows, filter data, handle missing values, perform feature engineering, manage outliers, and validate quality.
Use DataRobot to detect and resolve anomalies in mall customer data. Load, configure detection, identify, and fix anomalies to enhance data quality for better analysis.
Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.
A seasoned data science leader, with extensive experience in digital transformation. Throughout his career, Armando has leveraged his vast expertise in AI & ML to build infrastructure, create new lines of business and drive global implementations.
Arijit is an engineering & product leader with expertise in building and deploying AI, NLP, GPT & LLMs at scale for Fortune 500 companies. As head of AI & ML at Pega, he owns the overall AI roadmap with a focus on AI applications across functions.
No-code AI & machine learning platforms are transforming businesses by democratizing AI capabilities. User-friendly interfaces enable individuals without coding skills to create AI applications, eliminating traditional complexities and enabling broader AI adoption.
Expected global Machine Learning (ML) market size by 2030
The global no-code AI platform market’s projected CAGR from 2023-2033
Potential new jobs expected to be created by AI by 2030
This No-code AI & Machine Learning program caters to working professionals across different industries. Learner diversity adds richness to class discussions and interactions.
The application process consists of three simple steps. An offer of admission will be made to the selected candidates and can be accepted by them by paying the admission fee.
Tell us a bit about yourself and why you want to do this program
An admission panel will shortlist candidates based on their application
Selected candidates can begin the program within 1-2 weeks
For admission to this No Code AI & Machine Learning program, candidates should:
The admission fee for this program is $ 2,565.
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, ClimbCredit or Klarna payment option with low APR and no hidden fees.
We provide the following options for one-time payment
Date
Time
Batch Type
7 Aug, 2024
08:30 CDT
10 Aug, 2024 - 15 Nov, 2024
08:30 - 11:30 CDT
Weekend (Sat - Sun)
The anticipated time to complete the No Code AI and Machine Learning program is 3 to 4 months.
Industry experts from the data and AI domain lead the curriculum delivery for this No Code AI and ML program, bringing real-world insights and practical knowledge to the classroom. They are selected only after a rigorous shortlisting process, including profile assessment, technical examination, and a training presentation.
The distinguished faculty members from Purdue University deliver the masterclasses for this program.
Upon completing this No Code AI and Machine Learning program, you will be awarded a joint certificate of completion from Purdue University Online and Simplilearn.
You must meet the following requirements to join the online No Code AI & ML program: