Artificial Intelligence Full Course 2026 (Free) | Complete AI Course | Intellipaat

In this video, Artificial Intelligence Full Course From Scratch is designed to give you a complete roadmap from beginner to advanced level in AI and Deep Learning. You will learn everything from the basics of Artificial Intelligence to advanced concepts in Deep Learning. We start with understanding what AI is and gradually move into powerful models like Convolutional Neural Networks (CNN) and their architecture, working, padding, filters, and real-world applications — explained in a simple and beginner-friendly way. In this Artificial Intelligence Full Course From Scratch, we also explore Recurrent Neural Networks (RNN), including architecture, internal memory, word embeddings, activation functions, and different data handling approaches like one-to-many and many-to-one models. You’ll gain a clear understanding of how RNNs process sequential and contextual data effectively, making complex concepts easier to grasp. This Artificial Intelligence Full Course From Scratch also dives deep into Natural Language Processing (NLP), covering Named Entity Recognition, POS tagging, dependency parsing, lemmatization, stop words analysis, and the complete NLP pipeline with hands-on practice. The session concludes with AI project ideas and practical insights to help you start building real-world AI applications confidently. 📖 Below are the concepts covered in the video on "Artificial Intelligence Full Course": 00:00:00 - Introduction to AI Course 00:01:46 - What is AI? 00:06:26 - Introduction to Deep Learning 01:31:37 - Convolutional 01:33:36 - How to Explain Convolutional to a Kid? 01:42:31 - Convolutional Neural Network 01:45:15 - Why Do You Need CNN? 01:49:41 - Working of CNN 02:12:07 - CNN Detail Discussion 02:15:22 - Journey of CNN 02:26:55 - Architecture Overview 02:41:43 - Applying Neural Network 02:57:00 - Concept of Padding 03:05:40 - Types of Padding 04:50:59 - How to Set the Filter Values 05:10:47 - RNN 06:14:26 - RNN Architecture 06:34:34 - Word Embedding 06:53:53 - Why Do We Use Tanh as Activation Function? 06:59:23 - Summary of RNN 06:59:29 - Internal Memory 07:02:04 - Situational Data Handling 07:03:17 - Contextual Understanding 07:04:36 - Dynamic Adoption 07:05:33 - Recurrent Connection 07:06:07 - One to Many 07:09:48 - Many to One 07:19:30 - Named Entity Recognition 07:59:31 - Natural Language Processing 08:13:16 - Natural Language Generation 08:22:12 - NLP Pipeline 08:41:48 - Lemmatization 08:55:43 - Stop Words Analysis 09:19:30 - Dependency Parsing 09:30:14 - POS Tagging 09:32:00 - NLP Hands-on 10:08:03 - AI Project Ideas 10:26:02 - MCP Server #artificialintelligence #ai #machinelearning #deeplearning #aitraining #aiforbeginners #artificialintelligencecourse #intellipaat 🔥Enroll for Artificial Intelligence Course: https://intellipaat.com/artificial-intelligence-deep-learning-course-with-tensorflow/ ➡️ About the Course: The Artificial Intelligence & Deep Learning Course with TensorFlow by Intellipaat is a comprehensive program designed to help learners build strong AI and deep learning skills through hands-on training and real-world projects. The course covers key topics such as neural networks, CNN, RNN, TensorFlow, computer vision, and NLP, along with practical implementation. With live sessions, expert mentorship, and industry-recognized certification, it prepares learners for high-demand roles in the AI and data science domain. ✅ Key Features of the Course: 👉🏼 45+ live sessions & 210+ hours of video content 👉🏼 Training by IIT faculty & industry experts 👉🏼 10+ real-world AI projects 👉🏼 Hands-on practice with TensorFlow & Python 👉🏼 1:1 mentorship & 24/7 support 👉🏼 Resume & LinkedIn profile assistance 👉🏼 Microsoft certification upon completion 📌 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