LLM & Generative AI Masterclass: Langchain, HuggingFace

Generative AI, LLM, LangChain, HuggingFace, Ollama, Gradio, OpenAI, Gemini, DeepSeek R1, NotebookLM, Azure AI Services

What you'll learn
Set up environments for LLMs using Jupyter, Ollama, and Gradio, and integrate APIs like OpenAI GPT and Google Gemini for NLP solutions
Explore Frontier Models like OpenAI GPT and Google's Gemini to create apps for web scraping, text summarization, and meal suggestions
Master Hugging Face for tasks like sentiment analysis, text classification, tokenization, and fine-tuning models using datasets and repositories
Use LangChain for NLP workflows, including prompt engineering, few-shot prompting, and parsing structured outputs like JSON, XML, and CSV
Build web apps with Gradio, such as interactive tools and travel apps, to showcase NLP and AI functionalities
Integrate DeepSeek APIs to develop recipe suggestion systems and explore advanced Python-based AI implementations
Use NotebookLM to analyze and summarize PDFs, videos, CSVs, and audio files, extracting insights and actionable data efficiently.
Master Natural Language Processing concepts, tasks, and tools like Scikit-learn, NLTK, and SpaCy
Learn to build and deploy machine learning models for text classification and sentiment analysis
Explore text summarization techniques to condense long documents into concise summaries
Develop skills in tokenization, stemming, lemmatization, and POS tagging for NLP workflows
Create word embeddings using Word2Vec, Keras, and pre-trained models like Google's
Build deep learning models (ANN, CNN, RNN) for tasks like spam detection and text generation
Analyze tweets by calculating sentiment scores using Twitter API integrations
Work with Python libraries for processing text, PDFs, and datasets (PyPDF2, Pandas, etc.)
Perform data visualization using Matplotlib and conduct analysis with Numpy and Pandas
Implement NLP pipelines for Named Entity Recognition (NER) and vocabulary matching

Requirements
Basic understanding of Python Programming

Description
Update 1.1 as of  29/01/2025Generative AILLMLangChainHuggingFaceOllamaOpenAIGeminiDeepSeekGoogle NotebookLMAzure AI Services (Azure OpenAI Service)Recent reviews: "Thorough explanation, going great so far. A very simplistic and straightforward introduction to Natural Language Processing. I will recommend this class to any one looking towards Data Science""This course so far is breaking down the content into smart bite-size pieces and the professor explains everything patiently and gives just enough background so that I do not feel lost.""This course is really good for me. it is easy to understand and it covers a wide range of NLP topics from the basics, machine learning to Deep Learning.The codes used is practical and useful.I definitely satisfy with the content and surely recommend to everyone who is interested in Natural Language Processing"Update 1.0 :Fasttext Library for Text classification section added.Hi Data Lovers,Do you have idea about Which Artificial Intelligence field is going to get big in upcoming year?According to statista dot com which field of AI is predicted to reach $43 billion by 2025?If  answer is 'Natural Language Processing', You are at right place. Do you want to know How Google News classify millions of news article into hundreds of different category.How Android speech recognition recognize your voice with such high accuracy.How Google Translate actually translate hundreds of pairs of different languages into one another.If answer is "Yes", You are on right track.and to help yourself, me and my friend Vijay have created comprehensive course  For Students and Professionals to learn Natural Language Processing from very BeginningNLP - "Natural Language Processing" has found space in every aspect of our daily life.Cell phone internet are the integral part of our life. Any most application you will find the use of NLP methods, from search engine of Google to recommendation system of Amazon & Netflix.Chat-botGoogle Now, Apple Siri, Amazon AlexaMachine TranslationSentiment analysisSpeech Recognition and many more.So, welcome to my course on NLP.Natural Language Processing (NLP) in Python with 8 ProjectsThis course has 18+ Hours of HD Quality video, and following content.Course Outline : 1 : Welcome In this section we will get complete idea about what we are going to learn in the whole course and understanding related to natural language processing.2 :  Installation & Setup In this section we will get our online environment Google Colab setup.3 : Basics of Natural Language Processing In this section we will dive into all basic NLP task like Tokenization, Lemmatization, stop word removal, name entity   recognition, part of speech tagging, and see how to apply with different functions available in a  Spacy and NLTK library.4, 5, 6 : Spam Message Classification,  Restaurant Review Prediction (Good or bad),  IMDB, Amazon and Yelp review ClassificationIn the next 3 section we will get dive into a real world data set for text classification, spam detection, restaurant review classification, Amazon IMDb reviews. We will see how to do Pre-Processing and make your data suitable for machine learning algorithm and apply different Machine Learning estimator (Logistic Regression, SVM, Decision Tree) for classifying text.7, 8 : Automated Text Summarization,  Twitter sentiment Analysis In this 2 section we will work upon real world application of NLP.Automatic text summarisation, Which compress your text to find the summary of big articlesAnother one we will work is finding the sentiment from the recently posted tweet about some specific keyword with the help of Twitter API - tweepy library9 : Deep Learning Basics In This Section we will get a basic idea about Deep learning concept, like artificial neural network activation function and how ANN works.10 : Word Embedding In This Section, we will see How to implement word2vec on our custom datasets, as well as using Pretrained Google Model.11, 12 : Text Classification with CNN & RNN In this section we will see how to apply advanced deep learning model like convolution neural networks and recurrent neural networks for text classification.13 : Automatic Text Generation using TensorFlow, Keras and LSTM In this section we will apply neural network based LSTM model to automatically generate text.14, 15, 16, 17 : Numpy, Pandas, Matplotlib + File Processing In this section, for all of you who want refresh concept related to data analysis with Numpy and Pandas library, Data Visualization with Matplotlib library, and Text File processing and PDF File processing.So, This is the one of the most comprehensive course on natural language processing,And I am expecting you to know basic knowledge of python and your curiosity to learn Different techniques in NLP world.YOU'LL ALSO GET:Lifetime access to Natural Language Processing (NLP) with Python CourseUdemy Certificate of Completion available for downloadFriendly support in the Q&A sectionSo What Are You Waiting For ? Enroll today! and Empower Your Career !I can't wait for you to get started on mastering NLP with Python.Start analyzing your text data & I will see you inside a class.RegardsAnkit & Vijay

Who this course is for:
Anyone who is interested to learn Large Language Model and Generative AI