Artificial Intelligence Full Course (2025) | AI Course For Beginners | Intellipaat

This AI full course by Intellipaat is designed for beginners and aspiring professionals who want to build a strong foundation in Artificial Intelligence, Deep Learning, and Natural Language Processing (NLP). The journey starts with the basics like What is AI? and before diving into Deep Learning and advanced topics like Convolutional Neural Networks (CNNs). You’ll learn the working, architecture, and applications of CNNs, including concepts like padding, filters, and feature extraction, explained in a simple and practical way.

The course then explores Recurrent Neural Networks (RNNs), covering architecture, internal memory, contextual understanding, and sequence models such as one-to-many and many-to-one. You’ll also understand word embeddings, activation functions, and Named Entity Recognition (NER) with hands-on examples.

Moving ahead, we cover Natural Language Processing (NLP) in depth NLP pipelines, lemmatization, stop words analysis, dependency parsing, POS tagging, and natural language generation along with practical implementations. Finally, this tutorial introduces Large Language Models (LLMs), AI project ideas, and concepts like the MCP server to help you stay industry-ready. Perfect for students, job seekers, and anyone curious about the future of AI!

???? Below are the concepts covered in the video on 'Artificial Intelligence Full Course '
00:00:00 - Introduction to AI Course
00:01:29 - What is AI?
00:06:09 - Introduction to Deep Learning
01:31:20 - Convolutional
01:33:53 - How to Explain Convolutional to a Kid?
01:42:48 - Convolutional Neural Network
01:45:32 - Why Do You Need CNN?
01:49:58 - Working of CNN
02:11:50 - CNN Detail Discussion
02:15:05 - Journey of CNN
02:26:38 - Architecture Overview
02:41:26 - Applying Neural Network
02:56:43 - Concept of Padding
03:05:23 - Types of Padding
04:50:42 - How to Set the Filter Values
06:14:09 - RNN Architecture
06:34:20 - Word Embedding
06:53:36 - Why Do We Use Tanh as Activation Function?
06:59:06 - Summary of RNN
06:59:12 - Internal Memory
07:01:47 - Situational Data Handling
07:03:00 - Contextual Understanding
07:04:19 - Dynamic Adoption
07:05:16 - Recurrent Connection
07:05:50 - One to Many
07:09:31 - Many to One
07:19:13 - Named Entity Recognition
07:59:14 - Natural Language Processing
08:12:59 - Natural Language Generation
08:21:55 - NLP Pipeline
08:41:31 - Lemmatization
08:55:26 - Stop Words Analysis
09:19:13 - Dependency Parsing
09:20:57 - POS Tagging
09:31:43 - NLP Hands-on
10:07:47 - What is LLM
10:14:18 - AI Project Ideas
10:32:16 - MCP Server

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????Enroll for Data Science & Artificial Intelligence: https://intellipaat.com/epgc-data-science-ai-ihubds-iit-roorkee/

➡️ About the Course
Become an expert in Data Science, Machine Learning and Artificial Intelligence with iHUB DivyaSampark, IIT Roorkee & Intellipaat! Build a strong foundation in data science by learning in-demand skills, solving real-world challenges, and working on real-world projects. A flexible learning environment and 24/7 support makes this course perfect for beginners and professionals alike. Join now and accelerate your career to new heights in the cutting-edge fields of data science, machine learning, and artificial intelligence!

✅ Key Features - (Course Features)
????????620 Hrs of Applied Learning
????????90+ Live Sessions Across 11 months
????????218 Hrs of Self-Paced Learning
????????Learn from IIT Faculty & Industry Practitioners
????????50+ Industry Projects & Case Studies
????????One-on-One with Industry Mentors
????????24*7 Support
????????Dedicated Learning Management Team
????????1:1 Mock Interview
????????No-Cost EMI Option
????????iHUB DivyaSampark, IIT Roorkee Certification
????????Designed for Working Professionals and Freshers
????????2 Days Campus Immersion at iHUB, IIT Roorkee
????????Up to Rs. 50 Lakhs startup Incubation Support*
????????3 Guaranteed Job Interviews upon movement to Placement Pool

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