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LifestyleApplied Generative AI and Natural Language Processing (Udemy.com)
Understand Generative AI, Prompt Engineering, Huggingface-Models, LLMs, Vector Databases, RAG, OpenAI, Claude, Llama2
Created by: Bert Gollnick
Last updated September 2024
What you will learn
- Introduction to Natural Language Processing (NLP)
- model implementation based on huggingface-models
- working with OpenAI
- Vector Databases
- Multimodal Vector Databases
- Retrieval-Augmented-Generation (RAG)
- Real-World Applications and Case Studies
- implement Zero-Shot Classification, Text Classification, Text Generation
- fine-tune models
- data augmentation
- Prompt Engineering
- Zero-Shot Promping
- Few-Shot Prompting
- Chain-of-Thought (Few-Shot CoT, Zero-Shot CoT)
- Self-Consistency Chain-of-Thought
- Prompt Chaining
- Tree-of-Thought
- Self-Feedback
- Self-Critique
- Claude 3
- Open Source Models, e.g. LLama 2, Mistral
How it compares
Against the other 461 rated Udemy courses in Data Science on CourseDuck:
- Rating4.3 out of 5higher than 17% of them
- Reviews602#208 of 462 by number of reviews
- Length9.9 hourslonger than 55% of them
- Last updatedSeptember 2024earlier than 68% of them
Course Description
Join my comprehensive course on Natural Language Processing (NLP). The course is designed for both beginners and seasoned professionals. This course is your gateway to unlocking the immense potential of NLP and Generative AI in solving real-world challenges. It covers a wide range of different topics and brings you up to speed on implementing NLP solutions.
Course Highlights:
NLP-Introduction
Gain a solid understanding of the fundamental principles that govern Natural Language Processing and its applications.
Basics of NLP
Word Embeddings
Transformers
Apply Huggingface for Pre-Trained Networks
Learn about Huggingface models and how to apply them to your needs
Model Fine-Tuning
Sometimes pre-trained networks are not sufficient, so you need to fine-tune an existing model on your specific task and / or dataset. In this section you will learn how.
Vector Databases
Vector Databases make it simple to query information from texts. You will learn how they work and how to implement vector databases.
Tokenization
Implement Vector DB with ChromaDB
Multimodal Vector DB
OpenAI API
OpenAI with ChatGPT provides a very powerful tool for NLP. You will learn how to make use of it via Python and integrating it in your workflow.
Prompt Engineering
Learn strategies to create efficient prompts
Advanced Prompt Engineering
Few-Shot Prompting
Chain-of-Thought
Self-Consistency Chain-of-Thought
Prompt Chaining
Reflection
Tree-of-Thought
Self-Feedback
Self-Critique
Retrieval-Augmented Generation
RAG Theory
Implement RAG
Capstone Project "Chatbot"
create a chatbot to "chat" with a PDF document
create a web application for the chatbot
Open Source LLMs
learn how to use OpenSource LLMs
Meta Llama 2
Mistral Mixtral
Data Augmentation
Theory and Approaches of NLP Data Augmentation
Implementation of Data Augmentation
Miscellanious
Claude 3
Tools and LLM-Function
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Instructor Details
- 4.3 Rating
602 Reviews
Bert Gollnick
I am a hands-on Data Scientist with a lot of domain knowledge on Renewable Energies, especially Wind Energy.
Currently I work for a leading manufacturer of wind turbines. I provide trainings on Data Science and Machine Learning with R and Python since many years.
I studied Aeronautics, and Economics. My main interests are Machine Learning and Data Science.
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Reviews
By Hector Cortes Fernandez on 2/10/2025
Conceptos bien explicados
By Emmanuel Mutabazi on 12/19/2024
The explanations are very clear and easy to understand. Before taking this course, i did not grasp properly the difference between RAG, Finetuning and Prompt Engineering.
By Liam Warren on 6/4/2024
This course on Applied Generative AI and Natural Language Processing was an eye-opener for me. The instructors did an excellent job of breaking down complex topics like Prompt Engineering and Huggingface-Models into digestible chunks.
By Merinos Hue on 6/3/2024
The instructors provide a thorough overview of the field, covering all the essential topics and equipping learners with the knowledge and skills they need to succeed.
By Archanaa Kiruba on 5/26/2024
This course covers all aspects of Generative AI, starting with the foundational concepts of NLP. The content, explanations and example code were all concise and precisely what was needed to grasp the concepts. Bert Gollnick did an amazing job structuring the course to maintain engagement from start to finish. His teaching style was clear and kept me hooked throughout the course. Highly recommended!!
By Hiroyuki on 5/16/2024
I really enjoyed this course. I was very new to LLM when I started this course, but I could completely understand the lectures because Bert explained the complicated subjects in very simple expressions. I'll try his other courses soon.
By Sanjay Prasad on 5/15/2024
This is one of the best course I have ever taken on Udmey. Bert is an amazing teacher! He built the theory and ideas from ground up which was easy to understand. His walkthrough of the code was super helpful for someone like me who is not proficient with programing but the way Bert taught I was able to follow along. I am purchasing his other course on PyTorch. My only request to Bert is to make more courses on AI/ML and Data Science so we all can learn a nd benefit.
By Cesar Omar Cisneros Melgoza on 5/8/2024
Some voids, I would also like to have the glossary joins while seeing the code. For example, when talking about tensors, relate the code with what was seen in the simple explication before, or dig deeper in to contextual information to understand better what we are doing. another example: -"Here we add a Cost/Weight of 1 ....." But.. how is that used, how it changes the behaviour if we modify it, why would we want to change it, things like that.
By S K Avaneesh on 4/29/2024
Could have explained the deeper concepts for example like how the Embedding itself works internally like how the syntactic/semantic relationship is established and so on
By J khan on 3/15/2024
In-depth exploration of advanced topics such as looms and vector databases challenged me to think differently and pushed me to expand my skill set.
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 86 / 100
- Video Duration:
9.9h - Price: $10.99
- Provider: Udemy
- Updated:
September 2024 - Level:
All Levels - Language:
English - Certificate:
Yes
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