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🔥Enroll for Cyber Security Course: https://intellipaat.com/generative-ai... 🔥𝐁𝐨𝐨𝐤 𝐲𝐨𝐮𝐫 𝐅𝐫𝐞𝐞 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬: https://forms.gle/g5tExa7e54xpYZW97 In this video, you will Learn Complete Generative AI Course starting from the basics of RNNs to advanced Seq2Seq models. We begin by understanding how sequence models work, covering concepts like vanishing and exploding gradients, gated mechanisms, and LSTM architecture. You’ll also explore Encoder and Decoder concepts, including BERT embeddings, and understand how modern Generative AI systems process and generate text. If you want to Learn Complete Generative AI Course in a structured and practical way, this session is designed for you. In this video, practical implementation is equally emphasized. You will learn text pre-processing techniques such as regex cleaning, tokenization, padding, data sampling, and data splitting. The session also walks you through model training using RNN and LSTM, hyperparameter tuning, exporting the trained model, and testing it to evaluate performance. This step-by-step approach helps you Learn Complete Generative AI Course with real coding experience. In this video, you will also build two real-world projects: Amazon Customer Sentiment Analysis using RNN & LSTM, and an English-to-Hindi translation system using Encoder–Decoder (Seq2Seq) architecture. By the end, you will have both theoretical clarity and hands-on experience to confidently build your own Generative AI applications. 📖 Below are the concepts covered in the video on "Generative AI Full Course": 00:00:00 - Introduction to Gen AI Course 00:03:30 - Flow of Gen AI 00:06:05 - What are RNNs? 00:07:11 - Vanishing Gradient and Exploding Gradient 00:11:05 - Gated Mechanism & What is LSTM 00:54:53 - Encoder (BERT Embeddings) 01:04:40 - Decoder 01:25:02 - Encoder & Decoder (Seq2Seq) 01:35:24 - RNN and LSTM Revision 01:52:33 - Amazon Customer Sentiment Analysis Project (RNN) 02:38:38 - Project Data Sampling 02:56:51 - Regex Implementation 03:19:22 - Tokenization and Padding 03:56:53 - Data Splitting and Model Training (RNN & LSTM) 04:21:54 - Hyperparameter Tuning 05:14:25 - Exporting Model 05:39:26 - Testing Model 06:07:18 - Encoder–Decoder (Seq2Seq) 07:08:45 - Seq2Seq Project – English to Hindi Translation 08:15:13 - Encoder and Decoder Code 08:48:05 - Merging Encoder & Decoder to Build Seq2Seq 09:35:15 - Training Seq2Seq Model 10:43:51 - Testing Seq2Seq Model #generativeaicourse #genai #artificialintelligence #ai #machinelearning #deeplearning #nlp #intellipaat ➡️ About the Course: In this course, you’ll get a comprehensive understanding of Generative AI from fundamentals to real-world applications, including mastering AI language models, designing effective prompts, fine-tuning large language models (LLMs), and building smarter, context-aware AI solutions. You’ll gain hands-on experience through 20+ projects and live hackathons, learn key techniques like LoRA/QLoRA and RAG systems, and prepare for high-demand roles such as Prompt Engineer, AI Developer, and Generative AI Specialist. Upon completion, the program provides industry-recognized certification and equips you with practical skills to build chatbots, content generators, and advanced AI applications. ✅ Key Features of the Course: 👉🏼96+ hours of comprehensive GenAI training 👉🏼20+ real-world projects & live hackathons 👉🏼Prompt Engineering, LLM fine-tuning (LoRA, QLoRA), RAG systems 👉🏼Hands-on with OpenAI, Hugging Face, AutoGen & Gradio 👉🏼Focus on reducing AI bias & hallucinations 👉🏼Certification from IIT Roorkee & Microsoft 👉🏼24/7 support & lifetime access 👉🏼Placement assistance & interview support 📌 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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