Applied Generative AI and Natural Language Processing from Udemy

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

What's inside

Learning objectives

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
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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
Show more
Show less

Syllabus

Course-Introduction

Course Scope (101)

Who am I?

How to work with The course (101)

How to get the material? (Coding)

How to get the material? (Alternate)

System Setup (101)

System Setup (Coding)

NLP-Introduction

Section Overview

NLP (101)

Word Embeddings (101)

Sentiment OHE Coding Intro

Sentiment OHE (Coding)

Word Embeddings with NN (101)

GloVe: Get Word Embedding (Coding)

GloVe: Find closest words (Coding)

GloVe: Word Analogy (Coding)

GloVe: Word Cluster (101)

GloVe Word (Coding)

Sentiment with Embedding (101)

Sentiment with Embedding (Coding)

Transformers (101)

Apply Huggingface for Pre-Trained Models

Huggingface (101)

Pipelines: General Use (101)

Text Classification (101)

Pipelines: General Use (Coding)

Named Entity Recognition (101)

Named Entity Recognition (Coding)

Question Answering (101)

Question Answering (Coding)

Text Summarization (101)

Text Summarization (Coding)

Translation (101)

Translation (Coding)

Fill-Mask (101)

Fill-Mask (Coding)

Zero-Shot Text Classification (101)

Zero-Shot Text Classification (Coding)

Model Finetuning

Simple Model (101)

Exploratory Data Analysis (Coding)

Simple Model (Coding)

Finetuning Model (101)

Huggingface Trainer (101)

Finetuning Model (Coding)

Saving Model to huggingface / Loading Model (Coding)

Vector Databases

Vector Databases (101)

Tokenization (101)

Tokenization (Practical)

Tokenization (Coding)

Bible Vector DB - The Full Picture

Bible Vector DB - Data Prep (Coding)

Bible Vector DB - Database Handling (Coding)

Exercise: Movies Vector DB

Solution: Movies Vector DB - Data Prep (Coding)

Solution: Movies Vector DB - DB-Setup (Coding)

Solution: Movies Vector DB - Query Function (Coding)

Multimodal Vector DB (101)

Multimodal Vector DB: Setup (Coding)

Multimodal Vector DB: Query (Coding)

OpenAI API

ChatGPT (101)

OpenAI API (101)

Get your API Key (Coding)

Python Package (101)

Python Package (Coding)

Rest APIs (101)

OpenAI WebUI (Coding)

Cost (101)

Prompt Engineering

Prompt Engineering (101)

Clear Instructions (Coding)

Personas (Coding)

Delimiters (Coding)

Divide into sub-tasks (Coding)

Provide Examples (Coding)

Control Output (Coding)

Advanced Prompt Engineering

Advanced Prompt Engineering (101)

Few-Shot Prompting (101)

Chain-of-Thought (101)

Chain-of-Thought (Example)

Chain-of-Thought (Coding)

Self-Consistency Chain-of-Thought (101)

Self-Consistency Chain-of-Thought (Example)

Self-Consistency Chain-of-Thought (Coding)

Prompt Chaining (101)

Prompt Chaining (Example)

Reflection (101)

Tree-of-Thought (101)

Self-Feedback (101)

Self-Feedback (Example)

Self-Feedback (Coding)

Self-Critique (101)

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explored in a comprehensive and detailed manner

Provides hands-on lab experiences and interactive materials

Structured and designed for both beginners and seasoned professionals

Teaches industry-standard tools and techniques

Covers Pre-Trained Networks, Model Fine-Tuning, Vector Databases, and OpenAI API

Covers advanced topics like Prompt Engineering, Retrieval-Augmented Generation, and Open Source LLMs

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Applied Generative AI and Natural Language Processing with these activities:

Build an intelligent chatbot

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Demonstrate proficiency with building complex AI chatbot applications leveraging cutting-edge NLP models.

Browse courses on GPT-3

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Design the chatbot's architecture using your preferred NLP models.
Implement the chatbot using a suitable programming language (e.g., Python).
Train the chatbot on a relevant dataset tailored to your application.
Deploy the chatbot and evaluate its performance through testing and user feedback.

Show all one activities

Career center

Learners who complete Applied Generative AI and Natural Language Processing will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models. This course would be a great foundation for those who wish to specialize in NLP, as it covers topics such as NLP fundamentals, Transformers, Huggingface for Pre-Trained Networks, and data augmentation. It also provides hands-on experience with real-world applications and case studies. With its focus on NLP, this course would be particularly relevant to Machine Learning Engineers.

See salaries and explore the career path for Machine Learning Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineers research, design, develop, and test artificial intelligence systems. This course would be a great foundation for those who wish to specialize in NLP, as it covers topics such as NLP fundamentals, Transformers, Huggingface for Pre-Trained Networks, and data augmentation. It also provides hands-on experience with real-world applications and case studies. With its focus on NLP, this course would be particularly relevant to Artificial Intelligence Engineers.

See salaries and explore the career path for Artificial Intelligence Engineer

Natural Language Processing Engineer

Natural Language Processing Engineers design, develop, and test NLP systems. This course would be a great foundation for those who wish to enter the field, as it covers topics such as NLP fundamentals, Transformers, Huggingface for Pre-Trained Networks, and data augmentation. It also provides hands-on experience with real-world applications and case studies. With its focus on NLP, this course would be particularly relevant to Natural Language Processing Engineers.

See salaries and explore the career path for Natural Language Processing Engineer

Computational Linguist

Computational Linguists research, design, and develop computer systems that can understand, generate, and process natural language. This course would be a great foundation for those who wish to enter the field, as it covers topics such as NLP fundamentals, Transformers, Huggingface for Pre-Trained Networks, and data augmentation. It also provides hands-on experience with real-world applications and case studies. With its focus on NLP, this course would be particularly relevant to Computational Linguists.

See salaries and explore the career path for Computational Linguist

Data Scientist

Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course can be helpful for Data Scientists who want to add NLP to their skillset, as it covers topics such as NLP fundamentals, Transformers, Huggingface for Pre-Trained Networks, and data augmentation. It also provides hands-on experience with real-world applications and case studies.

See salaries and explore the career path for Data Scientist

Research Scientist

Research Scientists conduct research in various scientific fields. This course would be a great foundation for those who wish to specialize in NLP, as it covers topics such as NLP fundamentals, Transformers, Huggingface for Pre-Trained Networks, and data augmentation. It also provides hands-on experience with real-world applications and case studies. With its focus on NLP, this course would be particularly relevant to Research Scientists who wish to conduct research in this field.

See salaries and explore the career path for Research Scientist

Software Engineer

Software Engineers design, develop, test, and maintain software systems. This course may be useful for Software Engineers who want to specialize in NLP, as it covers topics such as NLP fundamentals, Transformers, Huggingface for Pre-Trained Networks, and data augmentation. It also provides hands-on experience with real-world applications and case studies.

See salaries and explore the career path for Software Engineer

Content Creator

Content Creators create and distribute content, such as articles, blog posts, and videos. This course may be useful for Content Creators who want to add NLP to their skillset, as it covers topics such as NLP fundamentals, Transformers, Huggingface for Pre-Trained Networks, and data augmentation. It also provides hands-on experience with real-world applications and case studies.

See salaries and explore the career path for Content Creator

Technical Writer

Technical Writers create and maintain technical documentation, such as user manuals, white papers, and marketing materials. This course may be useful for Technical Writers who want to add NLP to their skillset, as it covers topics such as NLP fundamentals, Transformers, Huggingface for Pre-Trained Networks, and data augmentation. It also provides hands-on experience with real-world applications and case studies.

See salaries and explore the career path for Technical Writer

Sales Manager

Sales Managers lead and manage sales teams. This course may be useful for Sales Managers who want to add NLP to their skillset, as it covers topics such as NLP fundamentals, Transformers, Huggingface for Pre-Trained Networks, and data augmentation. It also provides hands-on experience with real-world applications and case studies.

See salaries and explore the career path for Sales Manager

Business Analyst

Business Analysts analyze business processes and develop solutions to improve efficiency. This course may be useful for Business Analysts who want to add NLP to their skillset, as it covers topics such as NLP fundamentals, Transformers, Huggingface for Pre-Trained Networks, and data augmentation. It also provides hands-on experience with real-world applications and case studies.

See salaries and explore the career path for Business Analyst

Product Manager

Product Managers are responsible for the development and marketing of products. This course may be useful for Product Managers who want to add NLP to their skillset, as it covers topics such as NLP fundamentals, Transformers, Huggingface for Pre-Trained Networks, and data augmentation. It also provides hands-on experience with real-world applications and case studies.

See salaries and explore the career path for Product Manager

Project Manager

Project Managers plan, organize, and execute projects. This course may be useful for Project Managers who want to add NLP to their skillset, as it covers topics such as NLP fundamentals, Transformers, Huggingface for Pre-Trained Networks, and data augmentation. It also provides hands-on experience with real-world applications and case studies.

See salaries and explore the career path for Project Manager

Customer Success Manager

Customer Success Managers ensure that customers are satisfied with their products and services. This course may be useful for Customer Success Managers who want to add NLP to their skillset, as it covers topics such as NLP fundamentals, Transformers, Huggingface for Pre-Trained Networks, and data augmentation. It also provides hands-on experience with real-world applications and case studies.

See salaries and explore the career path for Customer Success Manager

Marketing Specialist

Marketing Specialists develop and implement marketing campaigns. This course may be useful for Marketing Specialists who want to add NLP to their skillset, as it covers topics such as NLP fundamentals, Transformers, Huggingface for Pre-Trained Networks, and data augmentation. It also provides hands-on experience with real-world applications and case studies.

See salaries and explore the career path for Marketing Specialist

Applied Generative AI and Natural Language Processing

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What's inside

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