Artificial Intelligence and Machine Learning with NLP

Duration: Hours



    Training Mode: Online


    Embark on a transformative journey into the realm of Artificial Intelligence (AI) and Machine Learning (ML) with a focus on Natural Language Processing (NLP) in this comprehensive training program at Locus Academy . Designed for aspiring data scientists, developers, and AI enthusiasts, this course offers a deep learning  into the fusion of AI and ML technologies, with a specific emphasis on NLP applications.

    Participants will explore fundamental concepts and algorithms underpinning AI and ML, gaining hands-on experience in building and deploying NLP models for tasks such as sentiment analysis, text classification, language translation, and chatbot development through this training.

    Through a blend of theoretical lectures, practical exercises, and real-world case studies, participants will master key techniques in data preprocessing, feature engineering, model training, and evaluation, equipping them with the skills needed to tackle complex NLP challenges across various domains.

    Additionally, the course will cover emerging trends and best practices in AI and ML ethics, ensuring participants develop a responsible and ethical approach to deploying AI-powered NLP solutions. By the end of this training, participants will emerge as proficient AI and ML practitioners capable of harnessing the power of NLP to drive innovation and solve real-world problems effectively.


    Unit 1: Introduction

    Overview of Artificial Intelligence and Machine Learning
    Introduction to Machine Learning
    Historical Developments

    Unit 2: Fundamentals of AI

    Basics of AI
    Problem Solving in AI
    AI in Real-world Applications

    Unit 3: Machine Learning Concepts

    Machine Learning training Overview
    Types of Machine Learning
    Supervised Learning
    Unsupervised Learning
    Reinforcement Learning

    Unit 4: Data and Feature Engineering

    Importance of Data in ML
    Data Preprocessing
    Feature Engineering

    Unit 5: Model Development

    Model Architecture
    Training and Testing Models
    Model Evaluation in Artificial Intelligence and Machine Learning

    Unit 6: Deep Learning

    Introduction to Neural Networks
    Deep Learning Applications
    Convolutional Neural Networks (CNNs)
    Recurrent Neural Networks (RNNs)

    Unit 7: Natural Language Processing (NLP)

    Basics of NLP
    Text Processing and Analysis
    NLP Applications

    Unit 8: AI Ethics and Bias

    Ethical Considerations in AI
    Addressing Bias in Machine Learning training
    Responsible AI Practices


    Please Visit AI and ML : || Locus Academy ha s more than a decade experience in delivering the training/staffing on Artificial Intelligence and Machine Learning with NLP for corporates across the globe. The participants for the training/staffing on Artificial Intelligence and Machine Learning with NLP are extremely satisfied and are able to implement the learnings in their on going projects.

    Other useful references




    There are no reviews yet.

    Be the first to review “Artificial Intelligence and Machine Learning with NLP”

    Your email address will not be published. Required fields are marked *