Advaced Practical GenAI - English version

Advanced GenAI Unlocked – Fine-Tune, Deploy, and Scale with Modern LLMs

What you'll learn
- Build excellent knowledge of the underlying mechanics of transformers, LLMs
- Go through the full training cycle of LLMs
- Work with opensource LLMs
- Work with privately hosted models
- Fine tune pre-trained models with your own data

Requirements
- Python
- NLP
- Transformers
- Generative AI Foundations

Description
Disclaimer: The audio narration in this course is AI-generated, based on human-written scripts and human-designed slides. The use of AI narration is to improve clarity for learners, while all instructional content remains instructor-created.

This isPart 3 of the Practical GenAI Sequel.

The goal of this sequel is to prepare you to become aprofessional GenAI engineer or developer. We’ll start from the foundations of LLMs and GenAI and progress to building fully working, production-ready applications.

The sequel follows ahands-on approach. Every concept is taught throughcode-based examples, with final projects built step by step in Python, Google Colab, and deployed using Streamlit.

By the end of the full sequel, you will have built a diverse range of applications, including aChatGPT clone, MidJourney-style image generator, Chat with Your Data app, YouTube Assistant, Ask YouTube Video app, Study Mate, Recommender system, Image Description app with GPT-V, Image Generation apps with DALL·E and Stable Diffusion, Video Commentator with Whisper, and more.

In this part, you will work withdifferent kinds of LLMs—both open-source and proprietary. You’ll get hands-on exposure to:

GPT modelsby OpenAI

LLaMA modelsby Meta

Gemini and Bardby Google

Orcaby Microsoft

Mixtralby Mistral AI

…and other emerging models.

You’ll learn how to usepre-trained models, and also how tofine-tune them on your own data.

We’ll dive intoHugging Facefor model fine-tuning, leveragingParameter-Efficient Fine-Tuning (PEFT)methods. You’ll work withLow-Rank Adaptation (LoRA)to train models efficiently.

You’ll also learn how todeploy models in the cloud, orhost them privatelywhen working with sensitive company data.

Finally, you’ll exploreknowledge distillation, where existing pre-trained models act as “teachers” to help you train your own optimized custom models.

Disclaimer:The audio narration in this course is AI-generated, based on human-written scripts and human-designed slides. The use of AI narration is to improve clarity for learners, while all instructional content remains instructor-created.

Who this course is for:
- Entrepreneurs that want to build new ideas with GenAI
- GenAI engineers/developers
- Developers that integrate AI capabilities in their apps
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