Description

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.

TABLE OF CONTENT

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

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