IT & SoftwareAdded Oct 12, 2026

Generative AI & Deep Learning : All Models With Projects

Master Generative AI, Deep Learning Models, LLMs, CNN, RNN & Build Real-World AI Projects from Scratch

4.5 / 5.0
42 ratings
1h 26m 16s
On-demand
English
Audio
ARUNNACHALAM SHANMUGARAAJAN
Instructor
Generative AI & Deep Learning : All Models With Projects100% OFF
  • 1h 26m 16s on-demand video
  • Certificate of Completion
  • Mobile, TV & Desktop Access
  • Full Lifetime Access

What you'll learn

All major deep learning models
Fundamentals of Generative AI
LLMs, CNN, RNN, GANs explained clearly
Build real-world AI projects step by step
Deep Learning concepts and neural networks

Course Description

Are you ready to master Generative AI and Deep Learning and understand how modern AI systems actually work?

This course, “Generative AI & Deep Learning: All Models With Projects,” is designed to give you a complete understanding of both Generative AI concepts and Deep Learning models, along with hands-on experience through real-world projects.

You will learn how powerful AI systems generate text, images, and predictions using models like Large Language Models (LLMs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs).


What is Generative AI?

Generative AI is a type of artificial intelligence that can create new content, such as text, images, code, and more. It uses advanced models trained on large datasets to produce human-like outputs.


What is Deep Learning?

Deep Learning is a subset of machine learning that uses neural networks with multiple layers to learn patterns from data. It powers many modern AI applications including image recognition, speech processing, and natural language understanding.


Why This Course?

This course combines theory + practical projects, making it perfect for anyone who wants to truly understand AI and not just use tools.

By the end of this course, you will be able to:

  • Understand AI models deeply

  • Build your own AI projects

  • Apply AI in real-world scenarios


Who this course is for:

  • Students exploring Artificial Intelligence and Deep Learning
  • Developers aiming to understand modern AI architectures

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