Natural Language Processing (NLP) and Deep Learning (DL)

"Mastering NLP and DL: A Comprehensive Course for Building Real-World Applications"

Best Seller Expert 30 Participants
Mentors Adarsha Shivananda

What you will learn/The learning objectives of NLP and DL course:

  • Understanding the fundamental concepts of NLP, including text pre-processing, tokenization, stemming, and lemmatization.
  • Developing proficiency in using NLP libraries and tools such as NLTK, spaCy, and Gensim.
  • Acquiring knowledge of various NLP tasks, such as sentiment analysis, text classification, and named entity recognition.
  • Understanding the basics of deep learning and its applications in NLP, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
  • Learning how to implement deep learning models for NLP tasks, such as text generation, machine translation, and question answering.
  • Understanding the limitations of deep learning models in NLP and exploring various approaches to overcome these limitations.
  • Gaining hands-on experience in building and evaluating NLP and DL models through practical projects and assignments.

Course Content

The course covers various NLP techniques, including text pre-processing, tokenization, stemming, and lemmatization, and introduces students to various NLP libraries and tools such as NLTK, spaCy, and Gensim. It also covers various NLP tasks, including sentiment analysis, text classification, and named entity recognition.

Deep Learning course covers the fundamentals and applications of deep learning, including neural networks, CNNs, RNNs, and popular deep learning frameworks. The course provides hands-on experience in building and evaluating deep learning models through projects and assignments. Suitable for those with a background in computer science or data science interested in a career in deep learning.

In addition, the course explores the applications of deep learning in NLP and covers key concepts such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs). Students will learn how to implement deep learning models for NLP tasks, such as text generation, machine translation, and question answering

This course is a program that teaches students the concepts and techniques of processing and analyzing digital images. The course covers topics such as image representation, enhancement, restoration, segmentation, and recognition. Students will learn how to use image processing tools and algorithms to solve real-world problems and apply their knowledge to a variety of applications, such as computer vision, medical imaging, and security systems. The course will also cover the latest developments and trends in the field, providing students with the skills and knowledge they need to succeed in the fast-paced world of image processing.

About this Course

A NLP and DL course teaches the fundamentals and applications of NLP and DL through a combination of theoretical and practical elements. It covers NLP techniques, NLP tasks, deep learning concepts, and hands-on projects and assignments. The course aims to provide students with a comprehensive understanding of NLP and DL and the skills to apply these technologies in real-world scenarios. This course is suitable for individuals with a background in computer science, data science, or related fields who are interested in pursuing careers in NLP and DL.

Why NLP and DL ?

  • Career Opportunities: NLP and DL are rapidly growing fields and have a high demand for skilled professionals. A course in NLP and DL can open up opportunities for careers in various industries, such as technology, finance, healthcare, and marketing.
  • Cutting-Edge Knowledge: NLP and DL are constantly evolving fields and an NLP and DL course provides students with the latest knowledge and techniques to stay ahead in the industry.
  • Hands-On Experience: A well-designed NLP and DL course will provide students with hands- on experience in building and evaluating NLP and DL models. This practical experience will give students a deep understanding of the technologies and help them develop the skills they need to succeed in the field.
  • Interdisciplinary Applications: NLP and DL have wide-ranging applications and impact various fields, including computer science, data science, and artificial intelligence. A course in NLP and DL can provide students with an interdisciplinary perspective and help them understand how these technologies can be applied to solve real-world problems.
  • Career Advancement: An NLP and DL course can help individuals advance their careers by providing them with the skills and knowledge they need to take on new responsibilities and challenges in their field.

Common job titles:

AI Scientist, ML Engineer, Data Analyst, Senior Data Analyst, Associate Data Analyst, Business Analyst, Junior Data Scientist, Finance Analyst, Operations Analyst, Marketing Analyst, Healthcare Analyst

Mentor

Anush kulkarni
Building MLOps | Author | Speaker | Senior consultant - Data Science and Analytics
30 Participants

Anush Kulkarni is an expert with Building MLOps, author, speaker and senior consultant in Data Science and Analytics. He has extensive experience in building ML pipelines for large and complex data sets and has helped numerous organizations leverage Machine Learning and Artificial Intelligence to solve real world business problems. Anush is highly sought after for his expertise in developing data driven solutions and helping organizations realize the full potential of their data

MLOps | AI Life Cycle | Data Science| Machine learning | NLP | Deep learning | Analytics | Python

I am also a regular speaker at top colleges in the area of AI to educate and encourage students to take up Data Science as their career option. I am mentor for AI/ML course at great learning and other institutes.

AI Educator, AI/ML content developer, Data science trainer, Content creator, Analytics trainer, Corporate trainer, Freelance training, where we conduct online and classroom classes for aspiring Data Scientists. Also conducted workshops across India in this field. Data science consultant, Analytics consultant, AI consultant.

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