What you'll learn
- Essential concepts of natural language processing (NLP)
- Building and fine-tuning AI models with ChatGPT
- Integration of ChatGPT into real-world projects
- Best practices for deploying AI solutions
This course details
- Skill Level : Advance Course
- Study Lecture : 30 Lectures
- Time Duration : 35 Hours - 5 Days
- Certificate : Yes
- Training Delivery Mode : Online - Live Instructor Led training
Course Content
- Overview of NLP and its applications in programming.
- Understanding text preprocessing techniques such as tokenization and stemming.
- Exploring common NLP libraries and tools in Python.
- Introduction to OpenAI’s ChatGPT models and their capabilities.
- Understanding the architecture and components of ChatGPT.
- Exploring pre-trained models and their use cases.
- Designing conversational interfaces using ChatGPT.
- Implementing interactive chatbots with user input handling.
- Fine-tuning chatbots for specific use cases and domains.
- Techniques for fine-tuning ChatGPT models for custom tasks.
- Leveraging prompts and parameters to control model behavior.
- Deploying ChatGPT models in production environments.
- Techniques for fine-tuning ChatGPT models for custom tasks.
- Leveraging prompts and parameters to control model behavior.
- Deploying ChatGPT models in production environments.
- Working on real-world projects to integrate ChatGPT into applications.
- Developing chatbots for customer support, information retrieval, and more.
- Applying NLP techniques learned throughout the course to solve practical problems.
- Working on real-world projects to integrate ChatGPT into applications.
- Developing chatbots for customer support, information retrieval, and more.
- Applying NLP techniques learned throughout the course to solve practical problems.
Requirements
- Basic programming knowledge (Python recommended)
- Familiarity with machine learning concepts (optional)
Description
This course provides programmers with the skills to leverage ChatGPT for advanced natural language processing tasks. From understanding the fundamentals to deploying sophisticated AI solutions, you’ll gain practical experience and insights for integrating AI into your projects effectively.
Who this course is for :
- Programmers interested in AI and NLP
- Developers seeking to enhance their skill set with ChatGPT
- Tech enthusiasts exploring the possibilities of AI in programming
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Instructor
- 4.5 Instructor Rating
- 1,654 Reviews
- 15 Years of Experience
- 9 Courses
Anil Bidari is a versatile trainer and consultant specializing in GitLab, AWS, Azure, Google, DevOps, Jenkins, Kubernetes, Ansible, Docker, Agile, and Machine Learning. His expertise drives successful technology adoption and implementation, benefiting organizations and individuals alike.
Deepika Sharma
Developer