Custom Generative AI Systems for Enterprises
About This Course
• Foundational Concepts: Understand the core principles of transformers architecture, their evolution, and their application in building enterprise Artificial Intelligence (AI) systems.
• Generative AI Frameworks: Learn and apply strategies for building enterprise AI applications using generative AI software frameworks (e.g., LangChain, LlamaIndex). Fine-tune pre-trained models with available foundational models for specific enterprise tasks, including zero-shot learning on computer vision and retrieval-augmented generation.
• Performance Optimization: Explore methods to enhance enterprise AI applications using reward-based reinforcement learning for performance optimization.
• Deployment Strategies: Navigate challenges and strategies for deploying enterprise AI systems in production environments. Optimize models for efficient training and inference, with an understanding of model and data parallelism.
• Practical Application: Apply theoretical knowledge through practical labs, building and deploying enterprise AI applications in real-world scenarios
What You'll Learn
Entry Requirements
This course helps users perform a variety of data analysis in order to derive factual insights and ultimately to gain experience in making evidence-based business decisions. Basic use and familiarity with Microsoft Excel is desired.