Description
Generative AI & LLMs Foundations: From Basics to Application. This course provides a comprehensive foundation from basic principles to advanced applications. The eight-week program is designed to build conceptual understanding and practical skills, gradually moving from the basics of generative models to advanced topics. The course content begins with an introduction to basic concepts such as tokenization, attention mechanisms, and transformer architecture, and then explores text generation, prompt design, and the impact of model parameters. Participants then learn the fundamentals of large language models, including embeddings, perplexities, and context windows, and study key generative models such as GANs, VAEs, and diffusion models. The practical part of the course includes a variety of applications such as summarization, creative writing, code generation, data augmentation, and image fusion, using modern tools such as Hugging Face Transformers, LangChain, vector databases, and deployment frameworks. Fine-tuning techniques including prompt engineering, LoRA and domain-specific adaptation are also taught. A dedicated module on ethics, safety and governance covers issues related to bias, delusion and AI risks. The course concludes with a final project where participants design and implement a real-world application to integrate all the knowledge and skills acquired.
What you will learn
- Understanding Generative AI and LLMs: You will gain a solid foundation in how Generative AI and Large Language Models work, including their core concepts and architecture.
- Application of AI in real-world scenarios: You will learn how to use AI for content generation, coding assistance, automation, and industry-specific use cases.
- Practical skills: Through weekly labs, you will experience building and testing models, covering tools, frameworks, and fine-tuning techniques.
- Exploring ethics and future opportunities: You will learn about the ethics of AI, governance, and responsible innovation, while identifying emerging career and business opportunities.
This course is suitable for people who:
- Students and Beginners: Anyone who is curious about AI and looking to build foundational knowledge in the field of Generative AI and LLMs.
- Professionals and career changers: People in technology, business, or other fields who want to upgrade their skills and apply AI to their work.
- Entrepreneurs and innovators: People interested in exploring how generative AI can create new business opportunities.
- Lifelong learners: Anyone who wants to stay up to date with one of the most transformative technologies shaping the future.
Course Details Generative AI & LLMs Foundations: From Basics to Application
- Publisher: Udemy
- Instructor: Data Science Academy
- Training level: Beginner to advanced
- Training duration: 5 hours and 33 minutes
- Number of lessons: 38
Course headings
Prerequisites for the Generative AI & LLMs Foundations course: From Basics to Application
- Basic Computer Literacy – Comfort with using computers, browsing the internet, and installing software/tools
- Familiarity with Python (optional but helpful) – While not mandatory, a beginner-level understanding of Python will help in hands-on labs.
- Interest in AI & Technology – Curiosity and willingness to learn are more important than prior experience.
- No Advanced Math Needed – The course is designed for beginners; only high-school level math/logical thinking is sufficient.
Course images
Sample course video
Installation Guide
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Download link
File(s) password: www.downloadly.ir
File size
3.7 GB
