Mastering AI with Transformers and LLMs for NLP Applications

Mastering AI with Transformers and LLMs For NLP Applications

learn to build your GPT, BERT , T5 , Attentions , QA , Summarization ,Classification ,Train Your AI model from Scratch , deploy LLMs with FastAPI and Docker.

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Reviews

great course

Hady Hammad

The course material was carefully planned. The instructor showed an in-depth understanding of the material, and the harmony between theory and implementation in practice was excellent.

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Excellent course

Mohamed Souilem

I want to express my gratitude for your dedication to providing a high-quality learning experience. The knowledge and skills gained in this course will undoubtedly have a positive impact on my professional development in the field of NLP.

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This course is what I am searching for

Mohamed Elaraby

excellent material presented in a very clear and understandable style. highly recommended

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Amazing 🤩

Yasmine Esmail

The content is great and the instructor explain it smoothly, I am waiting for AI for audio course , I think it will be great too

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Awesome

Rana Mahmoud

Its hard to find such a content within a single course, I am feeling so excited with the knowledge I gained from this course

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the most beneficial course.

Kholoud Srour

Your course perfectly balances accessibility for beginners and depth for understanding transformer concepts. The way you break down complex topics into digestible modules makes learning not only effective but also enjoyable

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Highly recommended

Mohamed Ebrahim

the course exceeded my expectations. It's an amazing learning experience. I highly recommend it!

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Excellent Course

Sarah Elmowafy

The information is really potent. It includes all information regarding transformers. It's excellent to find something that provides all of this in one course.

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Excellent course

Esraa Ashraf

The content is remarkable as it includes everything I need with a great explanation. Well done ^_^

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Mastering AI With Transformers and LLMs for NLP Applications isn't just a course; it's a transformative experience that arms learners with the expertise, practical skills, and innovation-driven mindset needed to navigate and lead in the ever-evolving landscape of Artificial Intelligence.

Course Content

Embark on a transformative journey into the heart of Large Language Models (LLMs) with our comprehensive course, Mastering AI with Transformers and LLMs for NLP Applications Dive deep into the intricacies of Transformers, unraveling their magic layer by layer, from the basics to building your own models and deploying them in production.

1. 1-Text Embedding
2. 2-Positional Encoding
3. 3-The Encoder
4. 4- The Decoder
5. 5-Autoencoding LM _ BERT
6. 6-Autoregressive LM_ GPT
7. 7-Sequence to sequence LM_ T5
8. 8-Tokenization
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9. Quiz 2
1. 1- Fine-tune Bert for sentiment analysis
2. 2- Fine-tuning BERT for multi-class classification
3. 3- Fine-tuning the BERT model for sentence-pair
4. Quiz 3
1. 1- QA intuition
2. 2- Building a Review-Based QA System (Amazon Reviews QA)
3. 3- Implement Retriever Reader Approach
4. 4- Fine Tuning transformers for question answering systems
5. 5- Table QA
6. Quiz 4
1. 1- Introduction to Text Generation
2. 2- Greedy Search Decoding
3. 3- Beam Search Decoding
4. 4- Sampling Methods
5. 5- Train your own GPT
6. Quiz 5
1. 1- Introduction to GPT2, T5, BART, PEGASUS
2. 2- Evaluation Metrics - Bleu Score
3. 3- Evaluation Metrics - ROUGE Score
4. 4- Fine-Tuning PEGASUS for Dialogue Summarization
5. Quiz 6
1. 1- introduction
2. 2- Build Custom Tokenizer
3. 3- Getting your data ready
4. 4- Implement Positional Embedding
5. 5- Implement Transformer Layers
6. Quiz 7
1. 1- Introduction to Optimization
2. 2- Model Optimization with Knowledge Distillation
3. 3- Model Optimization with Quantization
4. 4- Model Optimization with ONNX and the ONNX Runtime
5. 5- Serving Transformers with Fast API
6. 6- Dockerizing your Transformers APIs
7. Quiz 8

This course includes:

49 lessons
Access on mobile and TV
20 downloadable resources
Full lifetime access

What is included in this course?

In-Depth Knowledge of Transformer Architectures
Train Your Own GPT Model
Design, Build, and Train your Own Transformer architect from scratch
Build Custom Tokenizer For Your Own Corpus
Apply GPT2, T5, BART, BERT, DistilBERT, and PEGASUS to Real World Tasks
Model Optimization with Knowledge Distillation, Quantization, ONNX and the ONNX Runtime
Apply Transformers to Table Question Answering
Fine-Tuning PEGASUS for Dialogue Summarization
Fine-tuning BERT for Sentiment Analysis, Sentence-Pairs and Multi-Class Classification
Serving Transformers with Fast API and Containerizing Your Transformers APIs with Docker

What are the requirements for this course?

Basic Python Programming
Fundamental Machine Learning Knowledge
NLP Basics (Optional)
What You Will Need: Python and Jupyter Notebooks

Why Enroll?

Comprehensive Learning: From theory to practical application and deployment, this course covers a broad spectrum of topics.
Practical Knowledge: Transform theoretical concepts into practical skills.
Versatility: Harness Transformer powers for diverse tasks.
Innovation: Become the architect of Al innovation.
Deployment Mastery: Seamlessly deploy models in production environments.
Real-World Relevance: Learn skills that are directly applicable to real-world scenarios, including deployment considerations.

Who this course is for?

Al Enthusiasts and Beginners
Data Scientists and Machine Learning Engineers
Developers and Programmers
Natural Language Processing (NLP) Enthusiasts
Researchers and Academics
Al Innovators and Entrepreneurs

Coming Soon!

AI For Audios Course
Transformers for Vision Course

FAQ

Unable to make payment using MasterCard or Visa, or my country does not facilitate international transactions

for other payment methods contact us at : [email protected]
Are the courses self-paced or scheduled?

Self-paced