Udemy – Generative AI (basic to advanced) 2025-8

Udemy – Generative AI (basic to advanced) 2025-8 Downloadly IRSpace

Aug 17, 2025 - 02:42 Updated: Aug 19, 2025 - 14:37

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Udemy – Generative AI (basic to advanced) 2025-8

Generative AI course (basic to advanced). This course covers generative AI from basic to advanced levels and helps participants leverage the capabilities of this technology in various domains. Generative AI is a type of AI that is capable of generating new content such as text, images, code, etc., unlike traditional systems that only analyze existing data. By learning from vast amounts of data, this technology mimics human creativity and produces outputs similar to human content. Advanced machine learning models such as Transformers (used in GPT), Diffusion models (used in DALL·E and Stable Diffusion), and GANs are the main foundations of this technology. The Generative AI workflow involves training a model based on large amounts of data and then generating new content based on the learned patterns. For example, text models can write complete articles, and image models can create images based on user descriptions. The applications of this technology are wide-ranging and include the generation of text, images, code, music, video, and 3D design in areas such as education, marketing, legal, and healthcare. Its advantages include high speed in content generation, personalization of outputs, and automation of creative processes, but there are also challenges such as inaccurate content generation, training data biases, and computational costs that require careful human oversight.

What you will learn

A thorough understanding of what Generative AI is and how it works.
Familiarity with different types of generative models (such as GANs, VAEs, Transformers, etc.).
Learn how GenAI generates text, images, audio, and video.
Building and training basic generative models from scratch.
Using pre-trained models such as GPT and DALL·E to perform real-world tasks.
Practice prompt engineering to get better results from AI models.
Learn how to fine-tune models for specific use cases.
Building GenAI applications such as chatbots, content creators, and art producers.
Understanding the risks, ethics, and responsible use of GenAI.

This course is suitable for people who:

Artificial Intelligence/Machine Learning Engineers: Seek to build or improve generative models.
Software developers: want to integrate GenAI into their applications.
Data Scientists: Interested in advanced modeling and content creation.
Tech enthusiasts and people with personal interests: Curious about AI tools like ChatGPT, Midjourney, and DALL·E.
Product Managers: Want to understand the capabilities and limitations of GenAI.
Startup founders and innovators: looking to explore GenAI use cases and develop early products.
Content creators and designers: want to use AI for their creative work.
Researchers and academics: are studying generative models and their applications.
Business professionals: Interested in using AI to improve workflow and automation.
Students and people looking to change careers: Want to enter the field of artificial intelligence with practical GenAI skills.