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

This Artificial Intelligence Full Course by Intellipaat is your complete guide to mastering the fundamentals and advanced concepts of AI, Deep Learning, CNN, RNN, NLP, and LLMs. Whether you’re a beginner or looking to advance your career in AI, this step-by-step tutorial will take you from the basics to hands-on applications.

We begin with What is AI? and an introduction to Deep Learning, before exploring Convolutional Neural Networks (CNNs) their working, architecture, padding concepts, and filter values. You’ll also learn how to explain convolution simply, understand why CNNs are important, and see their applications in real-world tasks.

Next, the course covers Recurrent Neural Networks (RNNs), including word embeddings, tanh activation, sequence models (one-to-many, many-to-one), contextual understanding, and NER (Named Entity Recognition). You’ll then deep dive into Natural Language Processing (NLP) covering NLP pipelines, lemmatization, stop words, dependency parsing, POS tagging, and NLP hands-on projects. Finally, this tutorial explores the latest in Large Language Models (LLMs), AI project ideas, and the MCP server, helping you prepare for real-world AI applications. By the end, you’ll have a solid foundation in AI, NLP, and Deep Learning, making this the best AI course for beginners in 2025.

???? 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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