• Program Duration12 weeks
  • Learning FormatOnline Bootcamp

  • Admission closes on
    Aug 5th, 2024

No Code AI & Machine Learning Program Highlights

  • 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

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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

Industry Projects

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    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, Climb Credit and Klarna.These plans are offered with low APR and no hidden fees.

    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

      Tell us a bit about yourself and why you want to do this program

    • STEP 2Application Review

      An admission panel will shortlist candidates based on their application

    • STEP 3Admission

      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

    • How long does it take to complete the No Code AI and Machine Learning Specialization?

      The anticipated time to complete the No Code Machine Learning program is 3 to 4 months.

    • Who will be the faculty for the No Code AI and Machine Learning Specialization?

      Industry experts from the data and AI domain lead the curriculum delivery for this No Code 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.

    • What certificate will I receive after completing the No Code AI and Machine Learning Specialization?

      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.

    • What Is No Code AI And Machine Learning, And Who Is This Professional Program For?

      No code AI and machine learning refers to using software tools that allow users to build and deploy machine learning models without writing any 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 & ML course is ideal for IT, data, and business professionals, AI enthusiasts, product managers, consultants, and more.

    • What Will I Learn in The No Code AI And Machine Learning Course?

      This no code AI and machine learning course covers data collection and acquisition, data cleaning and preparation, data integration and transformation techniques, machine learning algorithms, ensemble learning methods, artificial neural networks, natural language processing, text analytics, model interoperability and performance optimizations, and much more using no-code AI platforms.

    • How Is the Purdue-Simplilearn No Code AI And Machine Learning Course Structured?

      This 16-week no code AI and machine learning course consists of 50+ hours of live online classes delivered by industry experts, live online masterclasses from Purdue faculty and staff, and hands-on, industry-relevant projects and case studies.

    • What Tools & Platforms Will Be Taught In This Course?

      In this no code AI and machine learning course, you will gain practical experience working with tools like Amazon SageMaker Canvas, Dataiku, KNIME, DataRobot, Vertex AI, and RapidMiner.

    • How Can I Enroll in The No Code AI And Machine Learning Course?

      To enroll in this no code AI & ML course, you must submit an application which will be reviewed by an admission panel. If selected, you can start the course within one to two weeks of notification and payment of the program fee.

    • 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 Are the Prerequisites For Enrolling In The No Code AI And Machine Learning Course?

      To enroll in this course, you must be at least 18 and have a high school diploma or equivalent. Candidates with at least two years of professional experience are preferred.

    • 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). They can also leverage Simplilearn Career Services to strengthen their resumes, get career guidance, and attend mock interview sessions.

    • Who Are The No Code AI And Machine Learning Course Instructors, And What Are Their Qualifications?

      Seasoned industry experts from the Data & AI domain lead interactive live online classes in which the program curriculum is delivered. Purdue faculty and staff deliver live-online masterclasses to share industry insights and advancements.

    • Who Are The Program Advisors For This No Code AI And Machine Learning Course?

      The program advisors include Armando Galeana, Founder and CEO of Ubhuru Technologies; Arijit Mitra, Director and Head of Machine Learning and AI at Pegasystems; Amitendra Srivastava, Chief Data Scientist at Intelytica; and Ankit Virmani, Data and ML Leader at Google.

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