Become an LLM Engineer

Welcome to Generative AI

This module provides a high-level understanding of generative AI, covering its fundamentals, key techniques, and real-world applications across industries.

Communicate with AI Using Prompt Engineering

This module covers prompt engineering, exploring prompt types, best practices, role prompting, and the impact of model parameters on AI responses.

Interact with AI Using OpenAI Models

This module explores OpenAI and its API, covering how to effectively set up, interact with, and apply AI models.

Store and Retrieve Information Using Vector Databases

This module explores how vector databases and embeddings enable efficient similarity searches and build semantic search apps, recommendation systems, and multimodal search solutions.

Developing AI Solutions with LangChain

This module provides a comprehensive introduction to LangChain, covering its core components, key applications, and integration with LLMs for building intelligent GenAI solutions.

Enhance AI Responses Using RAG

This module introduces retrieval-augmented generation (RAG), covering its fundamentals, key techniques, and applications in building efficient and effective AI response systems.

Customize AI Models Using Fine-Tuning

This module introduces fine-tuning for LLMs, covering its fundamentals and applications. It explores LLM quantization and provides hands-on implementation to adapt AI models using LoRA and QLoRA.