Dive into Generative AI: Foundations to Practical Applications

This comprehensive 8-week course provides a solid foundation in Generative AI and Large Language Models (LLMs). It is designed for learners at all levels, guiding you from the basics of generative models to advanced applications and customization. You’ll explore key concepts such as tokenization, attention mechanisms, and the transformer architecture that underpins modern LLMs.

As the course progresses, you’ll delve deeper into the workings of large language models, examining embeddings, perplexity, and context windows. You’ll get hands-on experience with core generative models like GANs, VAEs, and diffusion models, learning how to generate text, images, and structured data effectively. Practical applications will include summarization, creative writing, and code generation, using popular tools like Hugging Face Transformers and LangChain.

The course also emphasizes the importance of ethics and safety in AI, helping you understand and mitigate risks such as bias and hallucinations. A capstone project at the end allows you to showcase your skills, integrating everything you’ve learned into a real-world Generative AI application. By the end of the course, you’ll have a portfolio-ready project and the confidence to apply these cutting-edge technologies in various fields.

What you will learn:

• Understand the theory behind LLMs: tokenization, attention, and transformer architecture
• Design and optimize prompts to enhance text generation
• Apply generative models for text, images, and structured data (GANs, VAEs, diffusion models)
• Utilize practical tools: Hugging Face Transformers, LangChain, and vector databases (FAISS, Pinecone)
• Perform fine-tuning and adaptations with techniques like LoRA and domain-specific customization
• Deploy applications using FastAPI and Hugging Face Spaces
• Implement use cases: summarization, creative writing, code generation, and data augmentation
• Evaluate and mitigate risks: ethics, safety, biases, and hallucinations management
• Develop and present a capstone project ready for your portfolio

Course Content:

• Sections: 8
• Lectures: 40
• Duration: 24 hours

Requirements:

• 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.

Who is it for?

• Students & Beginners – Anyone curious about AI and looking to build foundational knowledge of Generative AI and LLMs.
• Professionals & Career Changers – People in tech, business, or other fields who want to upskill and apply AI in their work.
• Entrepreneurs & Innovators – Individuals interested in exploring how Generative AI can create new business opportunities.
• Lifelong Learners – Anyone who wants to stay updated with one of the most transformative technologies shaping the future.

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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