What you'll learn
- Understanding the fundamentals of deep learning and neural networks
- Exploring advanced concepts in natural language processing (NLP)
- Building and training custom AI models using ChatGPT
- Deploying AI solutions in real-world applications
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
- Basics of deep learning and neural network architectures
- Understanding the components of a neural network: layers, activation functions, and optimization algorithms
- Exploring common deep learning frameworks and libraries
- Overview of natural language processing (NLP) and its applications
- Understanding the challenges and complexities of processing human language
- Exploring advanced NLP techniques such as sentiment analysis, named entity recognition, and language modeling
- Introduction to OpenAI’s ChatGPT models and their capabilities
- Building custom AI models using pre-trained ChatGPT models
- Fine-tuning ChatGPT for specific tasks and domains
- Techniques for training AI models on domain-specific datasets
- Fine-tuning hyperparameters and model architectures for optimal performance
- Addressing challenges such as overfitting and data bias in model training
- Strategies for deploying AI models in production environments
- Integrating AI solutions into web applications, mobile apps, and other platforms
- Monitoring and maintaining AI systems for performance and reliability
Throughout the course, participants will engage in hands-on exercises, coding projects, and real-world case studies to reinforce learning. By the end of the course, students will have the knowledge and skills to build, train, and deploy AI solutions using ChatGPT and other deep learning techniques in various applications.
Requirements
- Basic knowledge of Python programming language
- Familiarity with machine learning concepts is beneficial but not required
Description
This course dives deep into the world of deep learning and natural language processing with a focus on ChatGPT. Participants will gain a comprehensive understanding of advanced AI techniques and learn how to build, train, and deploy custom AI models for various applications.
Who this course is for :
- Programmers and developers interested in deep learning and NLP
- AI enthusiasts looking to expand their knowledge and skills
- Professionals seeking to integrate AI solutions into their projects and applications
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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