Master machine learning with ACS’s no/low code Aspire Journey

Dive into the world of machine learning with ease! The No/Low Code Machine Learning journey is designed to empower you with practical machine learning skills—without the need for extensive programming knowledge. Using platforms like KNIME, RapidMiner, and BigQuery ML, you’ll gain hands-on experience building, training, and deploying machine learning models to solve real-world problems.

What to expect

This course takes an accessible yet comprehensive approach to machine learning. It introduces no-code and low-code techniques, allowing you to develop and implement machine learning models. With this course, you’ll:

  • Master the Basics of Machine Learning: Learn key principles like regression, classification, and clustering—without diving into complex programming.

  • Use Cutting-Edge Platforms: RapidMiner and BigQuery ML streamline the creation and deployment of machine learning models, making it easy for you to visualise data, create workflows, and gain valuable insights.

  • Gain Hands-On Experience: Work with real datasets using intuitive, visual interfaces to build models that address practical, real-world challenges.

     

By the end of the course, you’ll be able to:

  • Build and Deploy Machine Learning Models using low-code and no-code platforms.

  • Analyse Data and Predict Trends through practical, real-world applications of machine learning.

  • Leverage Cloud-Based Tools to scale your machine learning projects and make data-driven decisions.

 

Who should take this course?

If you’re an emerging professional aiming to gain a foothold in machine learning without prior coding knowledge, or an established professional seeking to streamline your ML workflow with no-code tools, this journey is perfect for you. The course is designed for learners at all levels who want to build and deploy machine learning models with minimal coding.

 

Course structure

Low-Code Machine Learning with KNIME

A key component of this course is working with KNIME, a low-code platform that allows you to build powerful machine learning workflows with minimal coding. KNIME simplifies the process, enabling you to design, train, and deploy machine learning models like regression, classification, and clustering. You’ll also explore time series forecasting and market basket analysis, gaining practical tools for predicting trends and analysing data in real-world contexts.

No-Code Machine Learning with RapidMiner

For an even more streamlined experience, RapidMiner offers a no-code platform where you can build machine learning models entirely through a visual interface. You’ll dive into essential techniques like regression, classification, and clustering while using RapidMiner’s powerful automation tools to clean data, train models, and optimise performance—all without writing a single line of code. This is ideal for professionals looking to leverage data-driven insights without the complexities of programming.

SQL-Driven Machine Learning with BigQuery ML

If you're familiar with SQL, this course also offers the opportunity to explore Google’s BigQuery ML. You’ll build machine learning models directly within your SQL database using simple SQL queries. BigQuery ML allows you to develop regression, classification, and time series models with ease, making it an ideal choice for scaling data analysis and forecasting.

 

How to complete the course

To complete the ACS No/Low Code Machine Learning course, simply finish all sections and learning components. You can learn at your own pace, save your progress, and take the exams when you're ready to earn your certification badge.

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