Learn Spacy Online: Free Course with AI Tutor & Certificate
For aspiring data scientists and Python developers, this free spacy course teaches natural language processing in about 1 hour. You'll complete 18 video lessons covering tokenization, syntax trees, and sentiment analysis. By the end, you'll be ready to build text-processing pipelines and analyze real-world corpora.
What you'll learn in this Spacy course
Five concrete outcomes you'll walk away with, each mapped to modules in the curriculum below.
Perform text preprocessing tasks such as tokenization, stop word removal, stemming, and lemmatization.
Analyze and manipulate text corpora, including creating your own corpus and generating frequency distributions.
Build and interpret syntax trees and apply parsing techniques to understand sentence structures.
Conduct sentiment analysis using NLTK, including building and evaluating sentiment classifiers.
Apply advanced natural language processing techniques like named entity recognition, chunking, and chinking.
Spacy course syllabus
01 Introduction to spaCy:
- What is spaCy?
- Installing spaCy
- Understanding NLP Basics
02 spaCy Basics:
- Tokenization in spaCy
- Part-of-Speech Tagging
- Named Entity Recognition
- Dependency Parsing
03 Working with Text:
- Text Preprocessing with spaCy
- Lemmatization and Stemming
- Sentence Segmentation
- Stop Words and Punctuation Handling
04 Advanced spaCy Features:
- Custom Named Entity Recognition
- Rule-based Matching
- Phrase Matching
05 spaCy Pipelines:
- Understanding spaCy Pipelines
- Customizing Pipelines
- Disabling Pipeline Components
- ==================
Real-world projects you'll work on
Practice the exact kind of work Spacy professionals do on the job.
Sentiment Analysis of Customer Reviews for Amazon Products
Tokenization and Text Processing for Google's Search Engine Optimization
Building a Syntax Tree Parser for Facebook's Social Media Posts
Analyzing Text Corpora to Identify Trends in Netflix's Movie Descriptions
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this Spacy course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Python developers wanting to add natural language processing to their skill set.
- Data science students preparing for machine learning roles in India.
- AI enthusiasts looking for a spacy crash course to build text-based applications.
- Working professionals aiming to analyze customer sentiment and feedback.
Prerequisites
- A basic understanding of Python programming is required.
- Familiarity with foundational data science concepts is helpful but not mandatory.
- A computer with an internet connection to run Python scripts.
How learning works on LearnTube
The structure of a bootcamp, the price of free.
AI curates your path
Our AI picks the top 1% of video content for each topic and arranges it into a structured, goal-based curriculum. No more tutorial roulette.
Learn, then get quizzed
After every lesson, your AI tutor asks you a question and gives personalised feedback on your answer, so gaps get fixed immediately.
Finish with proof
Complete the course, build the capstone project, and claim a certificate recognised by 900+ hiring partners.
A complete Spacy course: free, structured and job-focused
For Python developers and aspiring data scientists, this spacy training teaches how to process and analyze large volumes of text. You'll start with the very first lesson, "What is spaCy?", and progress through 5 structured modules. The curriculum covers "Introduction to spaCy:", "spaCy Basics:", "Working with Text:", "Advanced spaCy Features:", and "spaCy Pipelines:". Along the way, you'll learn essential text preprocessing tasks like tokenization, stop word removal, stemming, and lemmatization.
The learning experience is highly practical. You'll complete 4 hands-on projects to solidify your skills. These include Sentiment Analysis of Customer Reviews for Amazon Products, Tokenization and Text Processing for Google's Search Engine Optimization, Building a Syntax Tree Parser for Facebook's Social Media Posts, and Analyzing Text Corpora to Identify Trends in Netflix's Movie Descriptions. By completing these, you'll master advanced natural language processing techniques like named entity recognition, chunking, and chinking while building and interpreting syntax trees.
LearnTube makes this spacy nlp course highly interactive. Instead of just watching videos, you'll learn through top YouTube tutorials curated by experts, paired with an AI tutor that tests your knowledge. After every lesson, you'll take a quick quiz to ensure you understand the material. Learning is completely free, and you can choose to purchase a verified certificate at the end to show off your new NLP skills to the 900+ hiring partners in our network.
Jobs you can target after learning Spacy
Spacy is a gateway skill for some of the fastest-growing roles in tech.
Designs and develops language processing systems and text analysis models.
Analyzes complex datasets and builds predictive models using machine learning.
Creates scalable AI algorithms and integrates NLP pipelines into production.
Extracts meaningful trends from text corpora and customer feedback data.
Typical entry-level salary ranges in India as of September 2026. Actual compensation varies by city, company and experience.
Earn a Spacy certificate employers recognise
Finish the course and claim a certificate you can share anywhere.
- Learn 100% free: every lesson, quiz and the AI tutor cost nothing
- Claim your certificate when you complete the course (an optional paid add-on)
- Recognised by 900+ hiring partners across India
- One click to share on LinkedIn and add to your resume
Why learners choose LearnTube
Real reviews from Google. You learn free, you get assessed free, and you pay only if you want the certificate.
Though I have 11 years of experience as an HRBP, the course helped me refresh my knowledge and gave me insights into new trends in the market. The modules were clear and easy to understand, and the quizzes were well designed. I have added the certificate to my LinkedIn profile.
I had a lot of doubts while learning, but the AI chatbot answered them in detail with simple summaries. The videos on the platform saved me a lot of time as I didn't have to search YouTube and watch random content.
Just earned my certificate in HR Management from LearnTube.ai! The platform is user-friendly and the assessment was a great way to validate my knowledge. Feeling proud of this accomplishment!
I enrolled in a LearnTube personalized course to get into a Data Analytics role. It helped me learn SQL in depth and gave me hands-on experience with Power BI. I attached the LearnTube certificate to my CV, it added credibility to my profile, and I'm currently in the interview process.
The interface is user-friendly and intuitive, making it easy to navigate the course. I encountered no errors during my time using the platform, which was a refreshing change from other online learning platforms.
Just cleared the Business Analyst assessment and got certified! Loved how the course simplifies big concepts like data-driven decision making into short, practical lessons. The automated quizzes kept me on track the whole time. Perfect boost for my resume!
The certificate gave me a real edge during my B.Tech. By the time I graduated, I had skills that set me apart from my peers, and the certification opened up more job opportunities. It gave me the confidence to stand out during interviews.
I manage many software projects as a General Manager and was looking for a good certification program to stay competitive. After researching many programs, I chose LearnTube and it was much better than I expected. The material is well-organized and practical, and what I liked most is the lifetime access.
Frequently asked questions
Everything learners ask before starting this Spacy course.
Is this spacy tutorial actually free?
Yes, the entire learning experience is completely free. You get full access to all 18 video lessons, AI-tutor quizzes, and hands-on projects at no cost. You only pay if you decide to add the optional verified certificate later.
How do I get the spacy certification?
Once you finish all 5 modules and pass the AI quizzes, you become eligible for the certificate. It is an optional paid upgrade that you can easily add to your LinkedIn profile or resume to prove your NLP skills.
How is this different from watching YouTube directly?
LearnTube structures the best YouTube content into a logical path. Instead of guessing what to watch next, you follow a curated syllabus. Plus, an AI tutor gives you quizzes after every video to ensure you actually retain the information.
Do I need to install any specific software?
You will need Python installed on your computer along with a code editor like VS Code or Jupyter Notebook. You will also need to install the spaCy library and NLTK via your command prompt to complete the practical exercises.
Is this a good spacy course for beginners?
Yes, it is designed for those new to natural language processing. As long as you know basic Python, the course starts from the absolute basics, explaining what the library is before moving into advanced features and text pipelines.
How long does it take to learn spacy here?
The course contains about 1 hour of video content spread across 18 lessons. However, you should expect to spend a few extra hours completing the four hands-on projects and taking the AI quizzes to fully grasp the concepts.
Can I learn at my own pace?
Absolutely. The entire curriculum is self-paced, meaning you can watch the videos and complete the quizzes whenever you have free time. There are no strict deadlines, making it perfect for busy working professionals and full-time college students.
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