LLM & Generative AI Masterclass: Langchain, HuggingFace
Udemy Coupon Code for LLM & Generative AI Masterclass: Langchain, HuggingFace Course. Generative AI, LLM, LangChain, HuggingFace, Ollama, Gradio, OpenAI, Gemini, DeepSeek, NotebookLM, Azure AI Services
Created by Ankit Mistry | 19 hours on-demand video course
Generative AI Masterclass Course Overview
LLM & Generative AI Masterclass: Langchain, HuggingFace
This 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 Classification
In 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 articles
Another one we will work is finding the sentiment from the recently posted tweet about some specific keyword with the help of Twitter API – tweepy library
9 : 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.
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
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LLM & Generative AI Masterclass Course Reviews
Everything You Need to Know About LLM & Generative AI Masterclass: Langchain, HuggingFace
This course offers a comprehensive and well-structured introduction to Generative AI (Gen AI). Ankit Mistry, the instructor, brings a wealth of expertise in Development, making this course both informative and engaging.
The course structure is easy to follow. Each section, for example, covers a different aspect of LLM and Generative AI Course, ensuring a logical progression through the material. It includes video lectures, readings, and hands-on exercises, which make complex concepts accessible and practical.
Moreover, The Instructors explains each topic clearly and concisely. He supports the lessons with plenty of examples and exercises, which help students grasp the material effectively.
What I appreciated most about this course is its practical focus. For instance, the instructor emphasizes teaching skills and knowledge that are directly applicable to real-world scenarios. Additionally, students gain access to helpful resources such as templates, checklists, and cheat sheets.
Another standout feature is the platform itself. Udemy offers flexibility, allowing students to learn at their own pace and access course materials from anywhere with an internet connection. Furthermore, the multiple payment options make it easy for students to choose a plan that suits their budget.
In addition, the course community is highly active, with forums where students can ask questions and engage with peers. The instructor, consequently, is very responsive and addresses student inquiries and feedback promptly.
Overall, I highly recommend the LLM & Generative AI Masterclass: Langchain, HuggingFace to anyone looking to learn Generative AI This well-organized and practical course equips you with the skills and knowledge you need to succeed in this field.
