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Generative AI Course | Generative AI Course Free | Learn Gen AI in 10 Hours | Intellipaat

By - Intellipaat

πŸ“š Course Information

Channel

Intellipaat

Published On

1/15/2025

πŸ“ Description

πŸ”₯Enroll for Intellipaat's Generative AI And Prompt Engineering Course: https://intellipaat.com/generative-ai-prompt-engineering-course/ #GenerativeAICourse #GenerativeAICourseFree #LearnGenAIin10Hours #generativeaifullcourse #GenAIFullCourse #GenAITutorialForBeginners #Intellipaat Welcome to Intellipaat's Generative AI Course 2025! This comprehensive Gen AI course is designed to help you kick start 2025 by Mastering Generative AI in 11 Hours. This Generative AI course for beginners will take you through the exciting world of generative AI, providing a deep dive into the fundamentals and advanced concepts. In just 11 hours, you'll learn everything from basic principles to hands-on projects, helping you understand how to create your own generative AI models. Whether you're a developer looking to enhance your skills or a beginner curious about AI, this Generative AI tutorial for beginners is tailored to meet your needs. Our step-by-step guidance ensures you grasp the essential concepts, making it one of the best Gen AI full courses available online. By the end of this Generative AI course, you'll be equipped with the knowledge to explore new career opportunities in AI, machine learning, and data science. So, gear up to transform your learning experience with our Generative AI for Beginners module. πŸ“– Below are the concepts covered in the video on 'Generative AI Full Course For Absolute Beginners': 00:00:00 - Introduction to Generative AI Course 00:04:05 - Embedding, Deep Learning - Their Journey 00:55:13 - RNN 01:17:04 - LSTM 01:51:19 - LSTM Hands-on 02:39:13 - How to Build Complex LSTM 03:10:12 - Stock Market Predictions 04:03:11 - Introduction to Transformers 04:06:33 - What is Decoder & Encoder Architecture 04:26:42 - What is Seq2Seq Models 04:54:08 - What is Context Vector 05:01:30 - What is Dependency Parsing 05:11:06 - What is Tokenization 05:16:56 - How to Implement Document Classification in NLP 05:21:25 - What is Bigram 05:30:00 - How to Identify the Similarities Between Two Vectors 05:38:48 - Embedding 06:23:47 - What is self-attention? 06:46:55 - Multi-Head Attention 06:53:06 - Position Encoding 07:50:01 - What is BERT 09:01:32 - Hands-on BERT 09:47:50 - Model Optimization 🌟 Frequently Asked Questions 🌟 1. What is Generative AI? Generative AI refers to algorithms that can generate new content, such as images, text, or audio, by learning patterns from existing data. It's widely used in creative fields, natural language processing, and more. 2. Is this Generative AI course suitable for beginners? Absolutely! This Generative AI tutorial for beginners is crafted to ensure that even those with no prior experience can follow along and build foundational knowledge. 3. How long will it take to complete this Gen AI course? This Gen AI full course is designed to be completed in 11 hours, giving you a well-rounded understanding of generative AI. 4. What programming languages are covered in this Generative AI course? Our Gen AI course primarily focuses on Python, as it is the most popular language for AI development. We also touch on various libraries and frameworks used in generative AI. ➑️ About the Course Have you ever wondered how ChatGPT is trained to mimic human intelligence? Imagine you being able to do that. Our Generative AI and Prompt Engineering course is what you need. This Generative AI and Prompt Engineering course helps you master the language of AI and lets you design thoughtful prompts. You will be able to mitigate biases and deploy techniques for interaction with AI systems. Upon completion of this Generative AI and Prompt Engineering course you will create better prompts that help Gen AI models deliver better and more accurate results. βœ… Key Features - (Course Features) πŸ‘‰πŸΌ 35+ live sessions across 5 months πŸ‘‰πŸΌ 100+ hrs of top self-paced videos πŸ‘‰πŸΌ 50+ hrs project work and exercises πŸ‘‰πŸΌ Top industry experts πŸ‘‰πŸΌ 1:1 session with industry mentors πŸ‘‰πŸΌ Resume building & LinkedIn profile πŸ‘‰πŸΌ 24/7 support for query resolution πŸ‘‰πŸΌ No-cost EMI option available now Who Should Enrol for This Course? All those looking to build an exciting career in the domain of Generative AI should enrol for this AI Prompt Engineer course. Even freshers looking to start their careers in the Gen AI domain are good to go. Experienced professionals like digital marketers, product managers, software developers, Data Scientists, Business Analysts can also enrol for our Prompt Engineering training. Professionals already working in the Artificial Intelligence domain can upskill with our AI Prompt Engineering training course. πŸ“Œ Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb ▢️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers πŸ“šFor more information, please write back to us at sales@intellipaat.com or call us at IND: +91-7022374614 / US : 1-800-216-8930

🎯 What You'll Learn

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Complete understanding of the topic

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Hands-on practical knowledge

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Real-world examples and use cases

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Industry best practices

⭐ Course Features

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AI Support

24/7 doubt solving

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Practice Quiz

Test your knowledge

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Certificate

Course completion

πŸ“‹ Prerequisites

  • β€’

    Basic understanding of programming concepts

  • β€’

    Eagerness to learn and practice

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Course Content

- Introduction to Generative AI Course
1
4 min

- Introduction to Generative AI Course

5 Questions Ready
- Embedding, Deep Learning - Their Journey
2
51 min

- Embedding, Deep Learning - Their Journey

5 Questions Locked
- RNN
3
21 min

- RNN

5 Questions Locked
- LSTM
4
34 min

- LSTM

5 Questions Locked
- LSTM Hands-on
5
47 min

- LSTM Hands-on

5 Questions Locked
- How to Build Complex LSTM
6
30 min

- How to Build Complex LSTM

5 Questions Locked
- Stock Market Predictions
7
52 min

- Stock Market Predictions

5 Questions Locked
- Introduction to Transformers
8
3 min

- Introduction to Transformers

5 Questions Locked
- What is Decoder & Encoder Architecture
9
20 min

- What is Decoder & Encoder Architecture

5 Questions Locked
- What is Seq2Seq Models
10
27 min

- What is Seq2Seq Models

5 Questions Locked
- What is Context Vector
11
7 min

- What is Context Vector

5 Questions Locked
- What is Dependency Parsing
12
9 min

- What is Dependency Parsing

5 Questions Locked
- What is Tokenization
13
5 min

- What is Tokenization

5 Questions Locked
- How to Implement Document Classification in NLP
14
4 min

- How to Implement Document Classification in NLP

5 Questions Locked
- What is Bigram
15
8 min

- What is Bigram

5 Questions Locked
- How to Identify the Similarities Between Two Vectors
16
8 min

- How to Identify the Similarities Between Two Vectors

5 Questions Locked
- Embedding
17
44 min

- Embedding

5 Questions Locked
- What is self-attention?
18
23 min

- What is self-attention?

5 Questions Locked
- Multi-Head Attention
19
6 min

- Multi-Head Attention

5 Questions Locked
- Position Encoding
20
56 min

- Position Encoding

5 Questions Locked
- What is BERT
21
1 hour 11 min

- What is BERT

5 Questions Locked
- Hands-on BERT
22
46 min

- Hands-on BERT

5 Questions Locked
- Model Optimization
23
9 min

- Model Optimization

5 Questions Locked
AI Mentor