Generative AI Specialty Course Overview

Target Audience for Generative AI Specialty

Generative AI Specialty Course
This comprehensive 5-day course is designed for professionals and enthusiasts seeking to master Generative AI, with a focus on open-source platforms and hands-on labs. Ideal for those with a Python and machine learning background.

Target Audience and Job Roles:

• Data Scientists
• Machine Learning Engineers
• AI Researchers
• Software Developers
• IT Professionals
• Data Analysts
• AI Enthusiasts
• Python Programmers
• Deep Learning Specialists
• Technical Leads and Managers
• UX/UI Designers interested in AI
• Automation Engineers
• Research Scholars
• AI Product Developers

Learning Objectives - What you will Learn in this Generative AI Specialty?

1. Brief Introduction: The Generative AI Specialty course by Koenig Solutions equips students with essential skills in generative AI, including understanding architectures, working with large language models, and mastering advanced techniques like prompt engineering and fine-tuning.

2. Learning Objectives and Outcomes:

• Gain a comprehensive understanding of Generative AI and its architecture.
• Explore applications of Generative AI using the Transformer Library and GANs.
• Learn the architecture and types of Large Language Models (LLMs).
• Get hands-on experience with text and image AI models and services.
• Master prompt engineering techniques for various AI tasks.
• Understand and implement Retrieval Augmented Generation (RAG) systems using LangChain.
• Build advanced LLM systems for QnA using LangChain.
• Learn fine-tuning techniques and quantization for optimizing model performance.
• Evaluate open-source models using MLflow and deploy ML models.
• Conduct practical labs to reinforce learning, including building chatbots, vector stores, and evaluation of models using Hugging Face LLMs.