Generative AI Full Course 2025 (FREE) | Intellipaat

Dive into the future of AI with this Generative AI Full Course by Intellipaat – perfect for beginners to advanced learners. From understanding RNNs and LSTMs to building hands-on projects with Transformers, BERT, Hugging Face, OpenAI, and LangChain, this is your ultimate roadmap to becoming a Generative AI pro. Start with foundational concepts like Recurrent Neural Networks, their limitations, and how LSTMs improved them. Then transition to Transformers and Self-Attention, followed by an in-depth exploration of BERT architecture, tokenization, and Next Sentence Prediction (NSP).

You’ll get practical experience with binary classification, embedding layers, multi-head attention, and decoder workflows – all through hands-on tutorials. Explore tools like Hugging Face, LLMs, and the LangChain model to understand real-world AI applications. Cap off your learning with advanced topics like Retrieval Augmented Generation (RAG), prompt engineering, vector databases, and the core AI workflow powering modern generative models. By the end of this course, you’ll not only understand how cutting-edge AI works but also know how to implement it yourself.

📖 Below are the concepts covered in the video on ‘Generative AI Full Course ‘:
00:00:00 – Introduction Generative AI Course
00:01:30 – What is MCP Server?
00:11:22 – Vibe Coding
00:21:56 – RNN
00:31:45 – Problems in RNN
00:42:05 – What is LSTM?
00:46:38 – Putting This All Together
00:56:19 – RNN Model Hands-on
01:09:17 – Why Are Transformers Better Than LSTM?
01:09:56 – High-Level Overview
01:11:11 – Breaking the Black Box
01:12:28 – Expanding the Encoders and Decoders Block Further
01:13:52 – Self-Attention
01:16:52 – Self-Attention in Detail
01:25:51 – The Bigger Picture
01:34:24 – What is BERT?
01:37:10 – How BERT Works?
01:42:26 – BERT Uses Unsupervised Training Approach
01:48:17 – Hugging Face Small Example
01:53:22 – Transformer Hands-on
02:00:12 – BERT Uses Next Sentence Prediction (NSP)
02:02:33 – BERT Size and Architecture
02:13:56 – BERT Working
02:14:45 – Hands-on: Import Transformer
02:17:56 – Tokenizer Model Hands-on
02:39:55 – Binary Classification Using Logistic Regression
02:45:32 – Overview of Transformers
02:47:40 – Transformer Encoder and Decoder
02:50:36 – The Encoder Workflow
02:53:11 – Step 1 – Input Embeddings
02:54:43 – Step 2 – Positional Encoding
02:58:58 – Step 3 – Stack of Encoder Layers
03:02:20 – Step 3.1 – Multi-Headed Self-Attention Mechanism
03:08:56 – Step 3.2 – Normalization and Residual Connection
03:13:11 – The Decoder Workflow
03:16:34 – Step 3.1 – Masked Self-Attention Mechanism
03:17:40 – Step 3.2 – Encoder-Decoder Multi-Head Attention (Cross-Attention)
03:18:47 – Output of the Decoder
03:32:13 – Transition to Transformer
03:58:53 – What is Hugging Face?
04:02:27 – Core of Hugging Face
04:07:05 – Models
04:09:24 – Datasets
04:11:15 – Spaces
04:12:32 – Open Source Libraries and Documentation
04:16:55 – Hugging Face Accounts and Tokens
04:40:33 – Hands-on – Hugging Face
05:21:16 – LLM Evolutionary Tree
05:38:51 – What is Generative AI?
05:50:14 – How to Use/Access Generative AI Models?
06:19:26 – OpenAI
06:32:22 – How to Access Models Like These
06:53:40 – LangChain Model
07:29:40 – What is the POTUS?
07:38:13 – Prompts
07:42:45 – Hands-on – LLM
08:48:31 – Retrieval Augmented Generation
08:56:38 – RAG Architecture
09:33:42 – Vector Database
09:58:26 – Prompting Techniques
11:28:47 – Core AI Workflow

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🔥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

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