About This Program
A hands-on enterprise program designed to equip engineers with the skills needed to build, deploy, and manage AI Copilots in real business environments. Master LLM integration, context retrieval, and enterprise deployment strategies.
What You'll Learn
- Building custom Copilot interfaces with OpenAI and open-source LLMs.
- Retrieval-Augmented Generation (RAG) using vector databases.
- Tools like LangChain and LlamaIndex for orchestration.
- Security, privacy, and compliance for enterprise AI.
- Prompt engineering and fine-tuning strategies.
- Streaming responses and building user-friendly conversational UIs.
Topics covered
- LLMs (OpenAI / Open Source)
- RAG & Vector Databases
- LangChain / LlamaIndex
- Python / Node.js
- AI Security & Compliance
Syllabus
(6 weeks)Certificate of completion
Understanding LLMs, Transformer architecture, and the difference between training, fine-tuning, and RAG.
Prerequisites
- Proficiency in Python or Node.js.
- Experience with APIs and databases.
- Basic understanding of machine learning concepts.
Career Outcomes
- AI Solutions Architect
- Prompt Engineer
- LLM Application Developer
- Enterprise AI Consultant
