AI & Machine Learning · Level 4

Advanced AI: LLMs & Generative AI

By SRTR Academy Faculty

4 modules · 18 lessons · 10 videos · 30 hrs

Fine-tuning LLMs, RAG systems, prompt engineering, LangChain, deploying AI applications, MLOps

What you will learn

Module 1: Large Language Models Deep Dive
- 🎬 LLM architecture and training at scale — free preview
- 📄 Tokenization and embedding strategies
- 🎬 Fine-tuning vs prompting vs RAG
- 📄 Understanding model capabilities and limitations
Module 2: Prompt Engineering & LangChain
- 🎬 Prompt design patterns and best practices — free preview
- 📄 Chain-of-thought and few-shot prompting
- 🎬 LangChain fundamentals: chains, agents, tools
- 📄 Building a conversational AI assistant
- 🎬 Memory management in multi-turn conversations
Module 3: RAG Systems & Vector Databases
- 🎬 Retrieval-Augmented Generation architecture — free preview
- 📄 Embedding models and vector stores (Pinecone, Weaviate)
- 🎬 Chunking strategies and retrieval optimization
- 📄 Building a document Q&A system
Module 4: MLOps & Production Deployment
- 🎬 Model versioning and experiment tracking (MLflow) — free preview
- 📄 Containerizing AI applications with Docker
- 🎬 CI/CD pipelines for ML models
- 📄 Monitoring model performance and drift
- 🎬 Cost optimization for inference at scale