Why this course?

Description

NLP and Generative AI Internship module introduces students to natural language processing, classical ML techniques, and modern generative AI tools including LLMs like LLAMA2 and Google Gemini. Spanning 30 days, learners progress through core NLP preprocessing, deep learning models, RNNs, LSTMs, transformers, and real-world AI project applications.
The NLP and Generative AI Internship module offers a comprehensive, day-wise structure covering fundamental to advanced topics in natural language processing.fine-tune large language models and build applications like chat with PDFs, blog generators, and video summarizers using LLAMA2 and Google Gemini. The module culminates with a compilation of the top 100 NLP interview questions.

Key Learning Topics:

• NLP Preprocessing, Regex, and Data Cleaning
• Feature Encoding, Scaling, Null and Outlier Handling
• Classical ML Algorithms and Scikit-learn Pipelines
• RNNs, LSTMs, Embeddings, and Sequence Models
• Text Summarization, Poem Generation, Sentiment Classification
• Transformer Architecture and LLM Fine-Tuning
• Building Generative AI Tools: Chatbots, Blog and Video Summarizers

Projects & Practice:

• Sales Forecasting for FMCG Company
• Amazon Review Sentiment Classification
• Music Dataset Clustering with PCA
• Fake News Detection with Bidirectional LSTM
• Text Summarizer and Poem Generator using Sequence Models
• LLM Tools using LLAMA2 and Google Gemini
• Top 100 Interview Questions on NLP