Artificial Intelligence and Machine Learning with KNIME Analytics

Duration: Hours



    Training Mode: Online


    Unlock the power of data-driven decision-making with our comprehensive course on “Artificial Intelligence and Machine Learning with KNIME Analytics.” KNIME Analytics is a powerful open-source platform that enables users to visually design data workflows, incorporating advanced analytics and machine learning techniques seamlessly. In this course, participants will embark on a journey to master the fundamentals of artificial intelligence and machine learning within the KNIME environment.

    Through hands-on exercises and practical examples, learners will gain proficiency in data preprocessing, feature engineering, model training, and evaluation using KNIME’s intuitive interface. From classification and regression to clustering and text mining, this course covers a wide array of machine learning algorithms and techniques, empowering participants to extract valuable insights from their data.

    Whether you’re a data scientist, business analyst, or decision-maker, this course equips you with the skills needed to harness the full potential of artificial intelligence and machine learning with KNIME Analytics, driving data-driven innovation and decision-making in your organization.


    Unit 1: Introduction to AI/ML Basics

    Overview of Artificial Intelligence (AI)
    Introduction to Machine Learning (ML)
    Key Concepts in AI and ML

    Unit 2: Machine Learning Fundamentals

    Types of Machine Learning (Supervised, Unsupervised, Reinforcement)
    Data Preprocessing and Feature Engineering
    Model Training and Evaluation

    Unit 3: KNIME Analytics Platform

    Introduction to KNIME
    KNIME Workflow Basics
    Data Import and Export in KNIME

    Unit 4: KNIME Analytics – Data Manipulation

    Data Wrangling in KNIME
    Filtering and Transforming Data
    Joining and Aggregating Data

    Unit 5: KNIME Analytics – Model Building

    Building Machine Learning Models in KNIME
    Model Evaluation and Optimization
    Deploying Models in KNIME

    Unit 6: KNIME Analytics – Advanced Topics

    Integration with External Data Sources
    Automation and Batch Processing
    Advanced Analytics and Reporting

    Unit 7: AI/ML Applications

    Real-world Applications of AI and ML
    Case Studies and Use Cases
    Ethical Considerations in AI/ML

    Unit 8: Capstone Project in Artificial Intelligence with KNIME Analytics

    Applying AI/ML and KNIME skills to a Real-world Project
    Project Planning and Execution
    Presentation of Capstone Projects


    Please Visit Knime Official Site: || Locus Academy ha s more than a decade experience in delivering the training/staffing on Ansible and Puppet for DevOps Performance Optimization for corporates across the globe. The participants for the training/staffing on Ansible and Puppet for DevOps Performance Optimization are extremely satisfied and are able to implement the learnings in their on going projects.

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