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🔥Enroll for Generative AI Course: https://intellipaat.com/generative-ai-course/ 🔥𝐁𝐨𝐨𝐤 𝐲𝐨𝐮𝐫 𝐅𝐫𝐞𝐞 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬: https://forms.gle/g5tExa7e54xpYZW97 Generative AI Full Course (2026) is a complete end-to-end learning program designed to help you master modern AI concepts from scratch. In this Generative AI Full Course (2026), you’ll start with an introduction and the flow of Generative AI, followed by deep learning fundamentals like RNNs, vanishing & exploding gradients, and LSTM with gated mechanisms. You’ll then move into advanced architectures including encoder (BERT embeddings), decoder, and encoder–decoder (Seq2Seq) models, along with a dedicated revision of RNN and LSTM to strengthen your understanding. This Generative AI Full Course (2026) also focuses heavily on practical implementation through a real-world Amazon customer sentiment analysis project using RNN. You’ll learn step-by-step processes including data sampling, regex implementation, tokenization, padding, data splitting, and model training using RNN & LSTM. The course further covers hyperparameter tuning, exporting models, and testing models, giving you complete hands-on exposure to building and deploying deep learning models effectively. Towards the end, you’ll dive deep into Seq2Seq models with a full-fledged English to Hindi translation project. This includes understanding encoder–decoder architecture again, writing encoder and decoder code, merging both to build Seq2Seq, training the Seq2Seq model, and testing it in real scenarios. By the end of this course, you’ll have a strong foundation in Generative AI, NLP, and deep learning projects, making you industry-ready for AI roles in 2026. 📖 Below are the concepts covered in the video on 'Generative AI Full Course ': 00:00:00 - Introduction to Gen AI Course 00:00:37 - Flow of Gen AI 00:03:12 - What are RNNs? 00:04:18 - Vanishing Gradient and Exploding Gradient 00:08:12 - Gated Mechanism & What is LSTM 00:52:00 - Encoder (BERT Embeddings) 01:01:47 - Decoder 01:22:09 - Encoder & Decoder (Seq2Seq) 01:32:31 - RNN and LSTM Revision 01:49:40 - Amazon Customer Sentiment Analysis Project (RNN) 02:35:45 - Project Data Sampling 02:53:58 - Regex Implementation 03:16:29 - Tokenization and Padding 03:54:00 - Data Splitting and Model Training (RNN & LSTM) 04:19:01 - Hyperparameter Tuning 05:11:32 - Exporting Model 05:36:33 - Testing Model 06:04:25 - Encoder–Decoder (Seq2Seq) 07:05:52 - Seq2Seq Project – English to Hindi Translation 08:12:20 - Encoder and Decoder Code 08:45:12 - Merging Encoder & Decoder to Build Seq2Seq 09:32:22 - Training Seq2Seq Model 10:40:58 - Testing Seq2Seq Model #generativeaifullcourse #generativeaicourse #generativeaiinoneshot #generativeaicoursefree #intellipaat 🔥Enroll for Intellipaat's Generative AI And Prompt Engineering Course: https://intellipaat.com/generative-ai-prompt-engineering-course/ ➡️ About the Course Have you ever wondered how ChatGPT is trained to mimic human intelligence? Imagine you being able to do that. Our Generative AI and Prompt Engineering course is what you need. This Generative AI and Prompt Engineering course helps you master the language of AI and lets you design thoughtful prompts. You will be able to mitigate biases and deploy techniques for interaction with AI systems. Upon completion of this Generative AI and Prompt Engineering course you will create better prompts that help Gen AI models deliver better and more accurate results. ✅ Key Features - (Course Features) 👉🏼 35+ live sessions across 5 months 👉🏼 100+ hrs of top self-paced videos 👉🏼 50+ hrs project work and exercises 👉🏼 Top industry experts 👉🏼 1:1 session with industry mentors 👉🏼 Resume building & LinkedIn profile 👉🏼 24/7 support for query resolution 👉🏼 No-cost EMI option available now 📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb 📚For more information, please write back to us at [email protected] or call us at IND: +91-7022374614 / US : 1-800-216-8930
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