Artificial Intelligence Full Course FREE | Intellipaat

Step into the future with this AI Course designed to take you from the fundamentals to advanced concepts in a clear and practical way. This video begins by answering the most important question what is AI and then smoothly transitions into deep learning, helping you understand how modern AI systems actually work.

You’ll explore Convolutional Neural Networks (CNNs) in depth, including simple explanations, architecture, padding, filters, and real-world applications. The course then moves into Recurrent Neural Networks (RNNs), covering architectures, word embeddings, activation functions like tanh, and how RNNs handle sequential and contextual data.

As the journey continues, you’ll dive into Natural Language Processing (NLP) and Natural Language Generation (NLG), learning about NLP pipelines, lemmatization, stop words, POS tagging, dependency parsing, and hands-on implementation. Topics like Named Entity Recognition are explained with practical clarity. The video wraps up with AI project ideas and insights into MCP servers, making it ideal for beginners and learners who want both strong concepts and real-world direction in AI.

???? Below are the concepts covered in the video on 'Artificial Intelligence Full Course '
00:00:00 – Introduction to AI Course
00:01:42 – What Is AI?
00:06:22 – Introduction to Deep Learning
01:31:33 – Convolutional
01:33:32 – How to Explain Convolutional to a Kid?
01:42:27 – Convolutional Neural Network
01:45:11 – Why Do You Need CNN?
01:49:37 – Working of CNN
02:12:03 – CNN Detailed Discussion
02:15:18 – Journey of CNN
02:26:51 – Architecture Overview
02:41:39 – Applying Neural Network
02:56:56 – Concept of Padding
03:05:36 – Types of Padding
04:50:55 – How to Set the Filter Values
05:10:43 – RNN
06:14:22 – RNN Architecture
06:34:30 – Word Embedding
06:53:49 – Why Do We Use Tanh as Activation Function?
06:59:19 – Summary of RNN
06:59:25 – Internal Memory
07:02:00 – Situational Data Handling
07:03:13 – Contextual Understanding
07:04:32 – Dynamic Adoption
07:05:29 – Recurrent Connection
07:06:03 – One-to-Many
07:09:44 – Many-to-One
07:19:26 – Named Entity Recognition
07:59:27 – Natural Language Processing
08:13:12 – Natural Language Generation
08:22:08 – NLP Pipeline
08:41:44 – Lemmatization
08:55:39 – Stop Words Analysis
09:19:26 – Dependency Parsing
09:30:10 – POS Tagging
09:31:56 – NLP Hands-On
10:07:59 – AI Project Ideas
10:25:58 – 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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