Become an NLP Expert with this Natural Language Processing Course by Udacity

Atri Saxena

07 June 2023

Add To Wishlist

Course Overview

If you are looking for one of the best Natural Language Processing courses, then this is the right place. Natural Language Processing Nanodegree Program offers learners insight in modern Natural Language Process (NLP) techniques. Mastering these skills will help you to build applications involving written and spoken language. Udacity has collaborated with leading innovators such as International Business Machines (IBM) and Amazon to create a world-class curriculum. The instructor team comprises experts from both Udacity and the industry who help learners throughout the course.

Having a basic knowledge of python and machine learning will be helpful before starting this program. If you want to learn or brush up on your knowledge, then take this course from Udacity.

Whether you want to pursue a new job in finance, launch yourself on the path to a quant trading career, or master the latest artificial intelligence (AI) applications in quantitative finance, this program offers you the opportunity to master valuable data and AI skills.

"Some of the best practices shared in the course help me create better accuracy models faster. Also, adding this course to my resume has given me an added advantage in the job market."

- Atri Saxena

Course Structure

It is a self-paced and well-curated intermediate-level 3-month course that requires 10 hours per week. This online course is taught by experienced faculty members. It helps learners build models on real data and get hands-on experience with sentiment analysis, machine translation, and more. The modules of this course are detailed, comprehensive, and practical. It is designed in a way that in each class, the theory is connected to practical examples.

The assessment method involves completing assignments and undertaking projects under various modules throughout the degree. These can be research-based or concept specific. The assessments will be taken in between lessons with optional questions, matching questions, etc.

According to the Natural Language Processing Course syllabus, There are 3 modules; each has lessons, and post the completion of lessons, there is a project to complete.

There are 3 modules; each has lessons, and post the completion of lessons, there is a project to complete.

The first curriculum introduces you to NLP, taught Text Processing (Python), classification using traditional ML algorithms, and Speech Tagging.
In the second module, you learn about Feature Extraction, Embeddings, Modeling, Sentiment analysis, Deep learning, Intro to RNN, and Machine translation.
In the third module, you get to learn about Speech Recognition.

Insider Tips

In order to get the best out of this course, I have included some important tips below that I think you might find useful.

Technical Exhibitionism from the Course

This program offers learners insight into modern NLP techniques. Mastering these skills will enable you to build applications involving written and spoken language. In the first module, you get an Introduction to NLP, learn about Text Processing (python), classification using traditional ML algorithms, and Speech Tagging.

In the second module, you get to learn about Feature Extraction, Embeddings, Modeling, Sentiment analysis, Deep learning, Intro to RNN, and Machine translation. In the third module, you get to learn about Speech Recognition.

Assessment or Grading Criteria

The assessment method involves completing assignments and undertaking projects, which can be taken multiple times. The assessments will be taken in between after some learning. It will be optional questions, matching questions etc.

The final assessment ends with a Capstone project - Spam Classifier, Machine Translation, Speech to Text : https://github.com/udacity/NLP-Exercises.

The projects are evaluated at regular intervals and productive feedback is shared by the faculty for continuous student engagement.

Career Assistance

The learners will learn some popular industry-related skills that will help their long run in this field. The course also offers assistance and guidance related to jobs. The mentors will guide the process of learning and resolve all their queries.

The course involves a Capstone project. These natural language processing course online help candidates enhance their knowledge and also offers personalized feedback to all the learners for self-improvement.

Final Take

Machine learning is a growing industry, and in the NLP field, many opportunities are being created. Adding this course to my resume has given me an added advantage in the job market.

My current profile requires me to work on NLP data most of the time. I am able to work well because of the understanding of NLP data that I obtained from this course.

This course helped me learn from basic to advanced level concepts using real-world projects. Some of the best practices shared in the course helped me create better accuracy models faster.

Explore Natural Language Processing Language Certifications At All Levels

Explore AI and Data Science Category

Key Takeaways

This course covers both the basics of NLP knowledge and the advanced level topics like Machine Translation.

Get hands-on experience with sentiment analysis, machine translation and more.

Projects after each lesson are very good to practice and learn from.

Access to an online platform for completing the projects.

Links to resources are shared to encourage learning and exploring.

Learners get to build models based on real data.

Provision of Slack groups to chat with peers.

Course Instructors

Atri Saxena

Software Engineer

Currently working as Software Engineer with a keen interest in Machine Learning, Cloud Technology and API building. Recently, working on building a chatbot using the Rasa framework.