Artificial Intelligence Full Course | Complete AI Course 2026 | Intellipaatc
๐ฅEnroll for Artificial Intelligence Course: https://intellipaat.com/artificial-intelligence-deep-learning-course-with-tensorflow/
๐ฅ๐๐จ๐จ๐ค ๐ฒ๐จ๐ฎ๐ซ ๐ ๐ซ๐๐ ๐๐๐ฌ๐ญ๐๐ซ๐๐ฅ๐๐ฌ๐ฌ: https://forms.gle/g5tExa7e54xpYZW97
๐ Master Artificial Intelligence with this complete AI Full Course covering Machine Learning, Deep Learning, Neural Networks, NLP, CNN, RNN, Transformers, Generative AI, Agentic AI, Regression, Decision Trees, Random Forest, Python Setup, Statistics for Data Science, and hands-on projects. This course is perfect for beginners, students, software engineers, data analysts, and aspiring AI Engineers or Data Scientists who want to learn AI from scratch.
๐ In this AI tutorial, you will learn Artificial Intelligence fundamentals, the history and evolution of AI, types of AI, AI vs Machine Learning vs Deep Learning, Neural Networks, Transformers, Generative AI, Python installation, Statistics for Data Science, Linear Regression, Logistic Regression, Decision Trees, Random Forest, Deep Learning, CNN, RNN, NLP, Word Embedding, POS Tagging, Dependency Parsing, Natural Language Generation, and practical hands-on implementation.
โฑ๏ธ This AI course includes detailed timestamps for every topic, making it easy to learn at your own pace. Whether you want to build a career in Artificial Intelligence, Machine Learning, Data Science, or Generative AI, this complete tutorial will help you gain industry-ready skills with practical explanations and real-world concepts.
๐ Below are the concepts covered in the video on “Artificial Intelligence Full Course”:
00:00:00 โ Introduction to AI Course
00:01:52- AI fundamentals
00:03:25- What is Artificial Intelligence?
00:06:37- History and Evolution of AI
00:10:12- Types of Artificial Intelligence
00:12:00- Artificial Intelligence VS Machine Learning VS Deep Learning
00:14:38- Core components of AI systems
00:18:11- Neural Networks Deep Dive
00:24:43- Transformers and Generative AI
00:29:22- Agentic AI Explained
00:38:04- Future of AI and Learning roadmap
00:49:45- Hands-on
00:52:37- Python installation and setup guide
00:59:38- Statistics for Data Science
02:22:06 โ What is Regression?
02:31:10 โ Types of Regression
02:33:19 โ What is Linear Regression?
04:07:09 โ Introduction to Logistic Regression
04:27:59 โ What is Logistic Regression?
04:31:24- Decision Tree and Random forest
04:44:25- Neural Network
04:59:16 – Introduction to Deep Learning
06:24:27 – Convolutional
06:26:26 – How to Explain Convolutional to a Kid?
06:35:21 – Convolutional Neural Network
06:38:05 – Why Do You Need CNN?
06:42:31 – Working of CNN
07:04:57 – CNN Detail Discussion
07:08:12 – Journey of CNN
07:19:45 – Architecture Overview
07:34:33 – Applying Neural Network
07:49:50 – RNN
08:53:29 – RNN Architecture
09:13:37 – Word Embedding
09:32:56 – Why Do We Use Tanh as Activation Function?
09:38:25 – Natural Language Processing
09:52:10 – Natural Language Generation
10:01:06 – NLP Pipeline
10:20:42 – Lemmatization
10:34:37 – Stop Words Analysis
10:58:24 – Dependency Parsing
11:09:08 – POS Tagging
11:10:54 – NLP Hands-on
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โก๏ธ About the Course:
The Artificial Intelligence Course by Intellipaat is designed to help learners master AI, Deep Learning, Generative AI, TensorFlow, CNN, RNN, NLP, and advanced neural network concepts through live sessions, hands-on projects, and industry-focused training. The program includes mentorship from IIT faculty and industry experts from companies like Microsoft and Google, along with practical exposure to real-world AI applications such as image recognition, chatbot development, recommender systems, and object detection. The course also provides Microsoft certification, project-based learning, career guidance, and placement assistance to help students build a strong career in Artificial Intelligence and Machine Learning.
โก๏ธ Key Features of the Course:
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Learn from IIT faculty and industry experts from companies like Microsoft and Google
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45+ live instructor-led sessions with 210+ hours of self-paced learning
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Hands-on training in Deep Learning, Generative AI, TensorFlow, CNN, RNN, NLP, LangChain, and Computer Vision
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Work on 10+ real-world AI projects and industry case studies
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Microsoft certification upon course completion
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1:1 mentorship sessions, resume building, and LinkedIn profile review
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Dedicated placement assistance with mock interviews and career guidance
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24/7 learner support and access to recorded sessions
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