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No-Code AI & ML: From Data to Deployment Without Coding (Udemy.com)

Master ML Basics and Leverage Dataiku to Build, Train, and Deploy No-Code AI Models for Real-World Applications

Created by: Learnsector LLP

Last updated June 2026

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What you will learn

  • Explain key machine learning concepts and no-code tools for data preprocessing, model building, and deployment.
  • Build and deploy machine learning models using no-code platforms through guided demos and real-world examples.
  • Enhance AI Trustworthiness by exploring model interpretability, detecting bias, and ensuring fairness in ML models through no-code tools and fairness reports.
  • Apply no-code machine learning techniques to generate model fairness reports and monitor performance for continuous improvement.

How it compares

Against the other 815 rated Udemy courses in Web Development on CourseDuck:

  • Rating4.6 out of 5higher than 70% of them
  • Reviews153#541 of 816 by number of reviews
  • Length7.6 hourslonger than 51% of them
  • Last updatedJune 2026more recently than 86% of them

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Course Description

Are you eager to dive into the world of machine learning but wary of complex coding?

This course is your gateway to understanding and applying machine learning concepts—without writing a single line of code. Designed for beginners and professionals alike, you’ll explore both the theory and practical applications of machine learning through a dynamic blend of lectures and hands-on demos.

What You’ll Learn:

  • Core Concepts & Foundations:
    Gain a thorough grounding in machine learning fundamentals, including an overview of deep learning, the differences between ML and DL, and the key components that drive these technologies. Explore the nuances between rule-based and data-driven systems and understand how to define problems and collect data effectively.

  • Data Preparation & Model Building:
    Learn essential data preprocessing techniques such as normalization, standardization, and feature engineering. Dive into practical demos using platforms like Kaggle and Dataiku to see real-world applications—from model building and training to evaluation techniques including confusion matrices, ROC curves, and more.

  • No-Code Tools & Deployment:
    Discover the transformative power of no-code machine learning tools. Understand how to build, test, deploy, and monitor models seamlessly without traditional programming. Explore advanced topics such as model fairness and learn to generate comprehensive model fairness reports.

Who Should Enroll:

  • Aspiring Machine Learning Enthusiasts:
    If you’re new to machine learning and want a clear, accessible introduction without the coding barrier, this course is for you.

  • Data Analysts & Professionals:
    Enhance your skill set by learning to implement and deploy machine learning solutions quickly using no-code platforms.

  • Business Leaders & Innovators:
    Gain insights into leveraging AI to drive better decision-making and innovation within your organization.

By the end of this course, you’ll be equipped with the knowledge and practical skills to create robust machine learning models using intuitive, no-code platforms. Whether you’re aiming to upskill in your current role or pivot into the rapidly growing field of AI, this course will empower you to transform data challenges into strategic opportunities. Enroll now and take your first step toward mastering the future of technology—all without writing a single line of code!

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Instructor Details

Learnsector LLP

Learnsector, your one-stop solution for all your training needs. We're dedicated to giving you the best in class training in the space of Programming, Cyber Security, Cloud, Machine Learning, Analytics, and Project Management.

Our exclusive training helps you to acquire the relevant skillset mandatory to grab thriving opportunities. We train you intensively to implement your technical skills in a real-world scenario. We help you stay up-to-date with the latest technologies and requirements of IT organizations across the world.

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Reviews

4.6

153 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Sofiane Bellil on 10/31/2025

Grate course! I would have liked at least to have another practical chapter on Dataiku regarding other Algos. Especially linear regression. There are some theorical videos with repetitive content.

By Sri Kumaran Thirupathy on 9/21/2025

The course provides a solid introduction to Dataiku, but it assumes prior knowledge of Probability, Statistics, and Machine Learning models, which should ideally be covered in more depth through whiteboard-style explanations. Some sections—particularly 29, 30, and 31—present concepts after the demo rather than before, which disrupts the logical flow and could be improved by reordering. Additionally, instructions for the loan_default dataset are missing, which affects the hands-on experience. Overall, it's a great resource for understanding Dataiku, but enhancing foundational coverage and instructional clarity would make it even stronger.

By Neil F. Sambol on 6/22/2025

Rather repetitive. Much of the text can. be removed to make the class shorter or add new material.

By Nidhi on 6/5/2025

In depth learning is hardly available nowadays it’s good to see how this course is drafted step by step and can be done at our own pace and time.. would enroll for more. Thank you

By Archita Sobti on 5/27/2025

I love the simple way in which the concepts are being explained. The visuals are clear and enabling me to understand the concepts better.

By Udemy User on 3/17/2025

This is a right course and at right platform which I was looking for a long time to enhance my AI & ML skills. Contents has been designed in a beautiful way and content delivery by instructor is also unique.

By Retu M on 2/16/2025

Simple language, good relatable explanation. Love the examples that are used to simplify the concepts. Am able to understand and relate to the AI/ML use around us. Would love to further pursue my curiosity on this latest trend of today.

By Mudita Marwaha on 2/16/2025

This course is excellent for those who want to build and deploy AI models without coding. The content is well-structured, easy to follow, and packed with hands-on exercises using no-code tools. It's perfect for beginners and non-programmers looking to break into AI. Highly recommended for anyone who wants to grasp ML concepts without getting lost in complex algorithms!

By Tushar Khatri on 2/16/2025

ML and AI is everywhere these days. I was looking for some good courses to understand ML better. Being from a non coding/development background I found this course is a great package to learn foundations of ML and No-Code ML tools and applications. There are many live demos which makes things easy for you to understand concepts and derived results. Also with knowledge checks you can vet your learnings.

By Rajesh Marwaha on 2/15/2025

This course is remarkable in its simplicity. The instructor has excelled at breaking down complex concepts into layman terms, making it an ideal starting point for anyone interested in this field. What truly sets this course apart are the real-life examples provided throughout. These examples effectively illustrate how technology is seamlessly integrated into our daily lives, making it easier for learners to grasp its practical applications. The course does not assume any prior technical knowledge, ensuring that everyone, regardless of their background, can follow along and benefit. I highly recommend this course to anyone who is curious about how technology is simplifying our world. Whether you're a beginner or just looking to broaden your understanding, this course offers valuable insights that are both enlightening and engaging.

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Overall Score : 92 / 100