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Mastering Generative AI: Language Models with Transformers
This course is part of Generative AI Engineering.
Course Cost
₹ 4,168
Intermediate
Skill Level
2 Weeks
Self-paced lessons
This intermediate-level IBM course equips you with cutting-edge skills in transformer-based language models that are driving the generative AI revolution. As demand for these technologies skyrockets, this course provides the practical knowledge employers are actively seeking in AI engineers and data scientists. You'll explore the fundamental architecture of transformers, learning about key components like positional encoding, attention mechanisms, and self-attention that enable these models to capture contextual information and dependencies in text. The curriculum covers both decoder-based models like GPT (Generative Pre-trained Transformers) for text generation and language translation, and encoder-based models like BERT (Bidirectional Encoder Representations from Transformers) for advanced language understanding. Through hands-on labs, you'll implement these concepts using PyTorch, gaining practical experience with transformer architecture for text classification, masked language modeling, next sentence prediction, and language translation. You'll learn specialized techniques including multi-head attention, masked language modeling, and causal language modeling. The course culminates in a final project addressing real-world scenarios, ensuring you develop job-ready skills that can be immediately applied to generative AI applications in just two weeks.
English
What you'll learn
Understand the architecture and mechanisms of transformer-based language models
Master positional encoding and attention mechanisms in transformers
Implement self-attention and multi-head attention for capturing contextual information
Develop language models using decoder-based architectures like GPT
Train and implement encoder-based models like BERT using masked language modeling
Apply transformer-based models for text classification tasks
Implement language translation systems using transformer architecture
Gain practical experience using PyTorch for implementing NLP applications
Skills you'll gain
This course includes:
PreRecorded video
Graded quizzes,7 labs,Practice quizzes
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Generative AI Engineering
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
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