๐ฅEnroll for Generative AI Course: https://intellipaat.com/generative-ai-course/
๐ฅ๐๐จ๐จ๐ค ๐ฒ๐จ๐ฎ๐ซ ๐ ๐ซ๐๐ ๐๐๐ฌ๐ญ๐๐ซ๐๐ฅ๐๐ฌ๐ฌ: https://forms.gle/g5tExa7e54xpYZW97
Master Generative AI, RNN, LSTM, and Seq2Seq models in this complete hands-on course designed for beginners and professionals. This tutorial covers core deep learning concepts like Recurrent Neural Networks (RNNs), vanishing and exploding gradients, gated mechanisms, and LSTM, along with essential NLP techniques such as tokenization, padding, and BERT embeddings. Youโll gain a strong foundation in how modern AI models process sequential data and power real-world applications.
The course also focuses on practical implementation with end-to-end projects. Youโll build an Amazon Customer Sentiment Analysis model using RNN & LSTM, learning data preprocessing, regex, sampling, model training, hyperparameter tuning, and evaluation. Additionally, youโll implement an English to Hindi Translation system using Seq2Seq architecture, covering encoder-decoder models, training pipelines, and testing strategies.
This video is ideal for anyone looking to learn Deep Learning, NLP, and Generative AI with real-world projects. High-demand topics covered include Generative AI tutorial, RNN tutorial, LSTM deep learning, Seq2Seq model, encoder-decoder architecture, NLP projects, sentiment analysis, machine translation, BERT embeddings, and AI projects for beginners. Start your journey into AI and build industry-ready skills with this complete course.
๐ Below are the concepts covered in the video on ‘Generative AI Full Course ‘:
00:00:00 – Introduction to Gen AI Course
00:00:58 – Flow of Gen AI
00:03:33 – What are RNNs?
00:04:39 – Vanishing Gradient and Exploding Gradient
00:08:33 – Gated Mechanism & What is LSTM
00:52:21 – Encoder (BERT Embeddings)
01:02:08 – Decoder
01:22:30 – Encoder & Decoder (Seq2Seq)
01:32:52 – RNN and LSTM Revision
01:50:01 – Amazon Customer Sentiment Analysis Project (RNN)
02:36:06 – Project Data Sampling
02:54:19 – Regex Implementation
03:16:50 – Tokenization and Padding
03:54:21 – Data Splitting and Model Training (RNN & LSTM)
04:19:22 – Hyperparameter Tuning
05:11:53 – Exporting Model
05:36:54 – Testing Model
06:04:46 – EncoderโDecoder (Seq2Seq)
07:06:13 – Seq2Seq Project โ English to Hindi Translation
08:12:41 – Encoder and Decoder Code
08:45:33 – Merging Encoder & Decoder to Build Seq2Seq
09:32:43 – Training Seq2Seq Model
10:41:19 – Testing Seq2Seq Model
#generativeaifullcourse #generativeaicourse #generativeaiinoneshot #generativeaicoursefree #intellipaat
โก๏ธ About the Course
The Generative AI Course by Intellipaat is designed to help learners master modern Generative AI concepts such as prompt engineering, large language models (LLMs), transformers, and Retrieval-Augmented Generation (RAG) through hands-on projects and live training sessions. The program includes about 96+ hours of learning with real-world applications like chatbots, AI agents, and content generators, and provides certification from Microsoft and iHUB IIT Roorkee. It also covers tools like OpenAI APIs, Hugging Face, LangChain, and deployment techniques, preparing learners for roles such as Prompt Engineer, AI Developer, and Generative AI Specialist.
๐ Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb
๐For more information, please write back to us at [email protected] or call us at IND: +91-7022374614 / US : 1-800-216-8930
source
