What you'll get
- 12+ Hours
- 4 Courses
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Gain practical skills in developing Python applications with a focus on Natural Language Processing (NLP).
- Access the course content for one year, allowing flexible learning at your own pace.
- Suitable for anyone committed to exploring NLP and Artificial Intelligence, regardless of prior AI experience.
- Requires foundational Python programming knowledge to get started.
- Receive a Certificate of Completion for each of the four courses and associated projects.
- Learners can verify their certificates, which include unique links to showcase their achievements on resumes or LinkedIn profiles.
- The self-paced video course lets learners progress at their own pace.
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Natural Language Processing (NLP) Tutorials | 1h 5m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Create Chatbot using Python and NLTK | 58m | ✔ | View Curriculum |
| Python GUI Project - Creating a Calculator | 1h 42m | ✔ | View Curriculum |
| Machine Learning with Scikit Learn | 8h 37m | ✔ | View Curriculum |
Description
This course provides learners with actionable expertise in Python programming and Natural Language Processing (NLP). Participants will explore NLP concepts using NLTK libraries, including text conversion and processing, as they develop AI-driven projects. The course also covers GUI programming with Python’s Tkinter library, teaching learners how to work with widgets and build fully functional GUI applications. Learners will also work directly with key machine learning libraries, including SciKit-Learn, NumPy, and Pandas, to perform data analysis, make predictions, and visualize results, while using various tools to generate graphs and charts for effective data interpretation.
Sample Certificate
Requirements
- Open to anyone eager to explore and gain knowledge in Natural Language Processing (NLP), whether students or professionals.
- A foundational understanding of Python, machine learning, artificial intelligence, and data science concepts will enhance the learning experience.
- Familiarity with basic statistics can also help learners grasp NLP and related concepts more effectively.
Target Audience
- Ideal for beginners eager to build a strong foundation in NLP using Python, NLTK, and learn accurate data analysis techniques.
- Suitable for students aiming to create chatbot projects or other academic applications, providing practical guidance to develop their initiatives.
- Beneficial for professionals and experienced NLP practitioners seeking to enhance their expertise, improve precision in their work, and discover advanced tips and techniques.
