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The Ultimate Generative AI Tutorial for 2025

By SimplilearnLast updated on Oct 29, 20241097
Generative AI Tutorial
  • Beginner
  • 14 Lessons
  • 2 hrs of Learning
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Tutorial Highlights

 Generative AI is a cutting-edge field that focuses on creating new content by learning from vast amounts of existing data. Unlike traditional AI, which primarily classifies or predicts, generative AI models can generate human-like text, images, music, and more. Powered by advanced models like GPT (Generative Pre-trained Transformer), this technology has broad applications, from chatbots and content creation to art generation and coding assistance. Generative AI is transforming industries by enabling machines to produce creative and realistic outputs, making it a vital skill in today's rapidly evolving tech landscape.

Learn Generative AI with our comprehensive GenAI tutorial, designed to help you master cutting-edge concepts like GPTs, prompt engineering, and AI-driven creativity. Whether you're new to AI or looking to expand your knowledge, this GenAI tutorial has something for you. Stay ahead of the curve and learn to leverage AI for innovative solutions. Start learning today!

Skills Covered

  • Transfer Learning
  • Diffusion Models
  • Generative AI models
  • Transformer Models
  • LangChain
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Topics Covered

Our latest GenAI tutorial will help you master all the key concepts of GenAI (including but not limited to) in detail. This GenAI covers topics such as:

Transfer Learning

Transfer learning enables models to reuse knowledge from a pre-trained task to solve a new but related task, reducing training time and improving accuracy with limited data.

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Diffusion Models

Diffusion models are generative models that create data by gradually denoising a random noise image or pattern. They excel at image generation tasks.

Generative AI Models

Generative AI models like GPT can create new content—text, images, or audio—by learning patterns from large datasets. They are widely used in creative AI applications.

Transformer Models

Transformer models, like GPT or BERT, are neural network architectures designed for processing sequential data. They enable powerful language understanding and generation.

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LangChain

LangChain is a framework for developing applications powered by language models. It enables seamless integration of natural language processing with external tools, databases, or APIs.

Start with the GenAI tutorial today!

On the other hand, you must explore our top-notch  GenAI programs and ace the most in-demand concepts like Generative AI, prompt engineering, GPTs, and more. Don't miss your chance—explore and enroll today to stay ahead in the AI revolution!

About the Author

SimplilearnSimplilearn

Simplilearn is one of the world’s leading providers of online training for Digital Marketing, Cloud Computing, Project Management, Data Science, IT, Software Development, and many other emerging technologies.

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