• Admission Date
    Announcing Soon
  • Program Duration

    16 weeks

  • Learning FormatLive, Online, Interactive

No Code AI & Machine Learning Program Highlights

Master AI & ML without coding in Purdue's No-Code AI & Machine learning program.Designed for professionals, this program empowers you to build and deploy ML models using intuitive, user-friendly tools

  • Partnership with Purdue University Online

    Joint program certificate from Purdue University Online and Simplilearn

    Become eligible for a membership at the Purdue University Alumni Association

  • Learn from the Experts

    50+ hours of core curriculum delivered in live online classes by industry experts

    Live online masterclasses delivered by Purdue faculty and staff

  • Experiential Learning through Practical Application

    Exposure to DataRobot, Dataiku, Amazon SageMaker Canvas, and other tools

    Apply your knowledge through hands-on projects spanning various industries

  • Simplilearn Career Service

    Strengthen your resume and get career guidance from industry specialists

    Attend mock interview sessions to help you ace the hard technical questions

Days
Hours
Minutes
Seconds

GET PROGRAME DETAILS

FOR ENTERPRISE

Looking to enroll your employees into this program?

Program Outcomes

Program CertificateProgram Certificate
  • Program certificate from Purdue University Online and Simplilearn
  • Become eligible for a membership at the Purdue Alumni Association
  • Exposure to Amazon SageMaker Canvas, DataRobot, and other tools
  • Implement no-code AI & ML scenarios with hands-on projects

No Code AI and Machine Learning Course Curriculum

  • PG NC - Program Induction

    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.

  • PG NC - Fundamentals of AI & Machine Learning

    Discover the power of AI and machine learning with this course on its fundamentals. Learn about the different types of ML algorithms, the machine learning life cycle, and the challenges that come with it. Get introduced to no-code AI and machine learning platforms, and understand the importance of MLOps in scaling machine learning models. Gain essential knowledge and skills to apply machine learning techniques to real-world problems and learn when to use no-code tools versus when to code.

  • PG NC - Data Collection, Cleaning and Preprocessing

    Gain hands-on experience in collecting, cleaning, and preparing data for analysis. Learn about various data sources, data formats, and data acquisition techniques. Explore no-code platforms for data collection, import, and preprocessing, and discover advanced techniques for data cleaning and exploratory data analysis. Gain expertise in handling missing values, outliers, categorical data, text data preprocessing, and advanced feature engineering.

  • PG NC - Machine Learning Algorithms

    This course on Machine Learning Algorithms offers a comprehensive grasp of supervised and unsupervised learning. Covers linear and polynomial regression, logistic regression, classification algorithms, clustering techniques, dimensionality reduction techniques, and anomaly detection. The course emphasizes the use of no-code tools for building models, clustering, dimensionality reduction, and anomaly detection, making it accessible and practical for learners of all backgrounds.

  • PG NC - Advanced ML Techniques & NLP

    Explore advanced topics in AI and machine learning, including ensemble learning methods such as Bagging, Boosting, and Gradient Boosting Machines like XGBoost and LightGBM. It also explores Support Vector Machines (SVM) for classification and regression and introduces neural networks, including artificial neural networks (ANNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) networks.

  • PG NC - Model Optimization and Deployment

    Learn model performance optimization, feature selection, model interpretability, and model deployment using no-code tools. The course provides hands-on projects and real-world case studies and covers tools such as DataRobot AI, KNIME, and Dataiku, which enable users to classify information, perform data analysis, and create accurate data predictions with models.

  • PG NC - Real-world AI Applications and Case Studies

    Explore real-world applications and case studies of no-code AI and machine learning in various industries, including finance, healthcare, and marketing. Learn from case studies on predictive analytics, image recognition, and more. Discover best practices, lessons learned, and ethical considerations in no-code machine learning deployment. Unlock the power of no-code AI and machine learning tools to make data-driven business decisions and build intelligent solutions without writing code

ELECTIVES

Skills Covered

  • Artificial Neural Networks
  • Data Cleaning and Preparation
  • Data Collection and Acquisition
  • Data Integration Techniques
  • Data Transformation Techniques
  • Ensemble Learning Methods
  • Exploratory Data Analysis EDA
  • Feature Selection
  • Generative AI
  • Model Interpretability
  • Model Performance Optimization
  • Natural Language Processing
  • Prompt Engineering
  • Supervised Learning Algorithms
  • Support Vector Machines
  • Techniques for Model Evaluation
  • Text Analytics
  • Unsupervised Learning Algorithms

Tools Covered

Amazon SageMaker Canvas Latest
Dataiku-Latest
Data Robot
KNIME
VertexAI-Latest
RapidMinder-Latest
View More

Industry Projects

No Code AI and Machine Learning Program Advisor

No Code AI & Machine Learning Course Training Fee

Program Fee $ 2,565

Pay in Installments

As low as

You can pay monthly installments using Splitit or Klarna.These plans are offered with low APR and no hidden fees.

Program Cohorts

There are no cohorts available in your region currently

Eligibility Criteria

  • At least 18 years with a high school diploma or equivalent
  • Can be from a programming or non-programming background
  • Preferably have 2+ years of professional work experience

Best Suited For

  • AI Enthusiasts
  • Data Professionals
  • IT Professionals
  • Business Professionals
  • Product Managers
  • Consultants

How to Apply For This No Code AI & ML Course

  • STEP 1Submit Application

    Briefly outline your education and professional experience.

  • STEP 2Reserve Your Seat

    Complete your payment to reserve your admission.

  • STEP 3Start Learning

    Selected candidates can begin the program within 1-2 weeks

Demand for No Code AI and Machine Learning in 2024

The no-code AI platform market, valued at $3.83 billion in 2023, is projected to grow at a 30.6% CAGR from 2024 to 2030. These platforms enable non-programmers and AI experts to implement AI projects, with a growing number of enterprises worldwide driving market growth. No-code AI tools bridge the gap between domain experts and AI specialists, enabling better communication and testing of ideas. The rapid evolution and deployment of AI and machine learning, along with the adoption of IoT, edge computing, and data science solutions, contribute to this market growth. No-code AI platforms allow for the development of AI models without AI professionals, decreasing time and lowering entry barriers for individuals and enterprises to experiment with AI and machine learning. These solutions enable businesses to affordably implement AI models, allowing their domain experts to benefit from cutting-edge technology.

Program FAQs

  • What is the No Code AI and Machine Learning Specialization course?

    This no code AI and machine learning course helps professionals learn how to use software tools and techniques to build and deploy machine learning models without writing code. These platforms provide a visual interface and automated processes, making it accessible for non-programmers to create and implement machine learning solutions. This no code AI and ML course is ideal for IT, data, and business professionals, AI enthusiasts, product managers, consultants, and more.

  • What are the benefits of enrolling in this no code machine learning course?

    This comprehensive no code AI and machine learning course provides in-depth training through over 50 hours of live online classes from industry experts, masterclasses from Purdue faculty and staff and hands-on, industry-relevant projects using the top tools in the field. You’ll receive a joint certificate from Purdue University Online and Simplilearn and membership in Purdue’s alumni association upon completion.

  • Who are the no code AI and machine learning course instructors, and what are their qualifications?

    Industry experts from the data and AI field lead the curriculum delivery for this no code ML and AI program, bringing real-world insights and practical knowledge to the classroom. They are selected after a rigorous evaluation, including a profile assessment, technical examination, and training presentation. Purdue faculty and staff deliver masterclasses to share industry insights and advancements. 

  • How can I enroll in the no code AI And machine learning course?

    To enroll in this no code AI and ML course, you must submit an application which will be reviewed by an admission panel. If selected, you can start the course as per the cohort start date and payment of the program fee. 

  • What will be the expected salary range post earning a no code AI and machine learning certificate?

    Salaries will vary based on experience level, job role, company, location, and industry. Here are some averages to get a general idea about the earning potential:

  • What career path can I pursue after completing the no code AI and machine learning course?

    After completing the no code machine learning and AI course, there are several career paths you can pursue depending on your skill set and interests. Here are a few:

    • Data analyst

    • Business intelligence developer

    • Product manager

    • Research assistant

    • AI ethics consultant

  • Is there a certificate provided upon completion of the course?

    Yes, once you complete the no code AI and machine learning course, you will receive a joint certificate of program completion from Purdue University Online and Simplilearn.

  • What support is available during the professional no code AI and machine learning course?

    Learners will have access to 24/7 support from our team of dedicated specialists, who can answer any questions about the onboarding process and the learning path, and troubleshoot any technical issues with the learning management system (LMS). US-based learners can also leverage Simplilearn Career Services to strengthen their resumes, get career guidance, and attend mock interview sessions.

  • Do I need to be a Purdue University student to apply to this no code machine learning course?

    No. This course is open to all learners who meet the eligibility requirements.

  • Can I keep working while taking this no code AI and machine learning course?

    You can continue working while taking this no code machine learning and AI course. However, you must make time in your schedule to complete the classes and projects.

  • What is the future of no code AI and machine learning?

    The future of no code AI and machine learning is promising. It has the potential to make these fields more accessible to a broad range of professionals, which, in turn, will help companies fill the significant AI and ML talent shortage.

  • What is the future of no code AI and machine learning?

    The future of no code AI and machine learning is promising. It has the potential to make these fields more accessible to a broad range of professionals, which, in turn, will help companies fill the significant AI and ML talent shortage.

  • Why no code AI and machine learning?

    No code AI and machine learning platforms make these powerful technologies more accessible to professionals and businesses. Benefits include:

    • They’re user friendly

    • They’re cost-effective

    • They encourage innovation at a broader scale

    • They facilitate cross-team collaboration

    • They democratize AI

  • Are Simplilearn’s courses eligible for reimbursement by my employer?

    Yes, Simplilearn’s Professional Certificate Program in No Code AI & Machine Learning, offered in collaboration with Purdue University, is eligible for employer reimbursement. We'd recommend confirming the specific terms of educational benefits or tuition assistance programs with your HR department or employer. Purdue University also accepts tuition vouchers, which can streamline reimbursement.

Other programs you may be interested in

Purdue and Simplilearn Partnership

Purdue University is a top public research institution developing practical solutions to today’s toughest challenges. Ranked in each of the last four years as one of the 10 Most Innovative Universities in the United States by U.S. News & World Report, Purdue delivers world-changing research and discovery.

Purdue University Online has partnered with Simplilearn to deliver various online professional programs. Simplilearn’s award-winning immersive learning model focuses on applied learning experiences intended to create immediate impact.

Purdue and Simplilearn Partnership