Topics:

• 1.1 Programming Foundations

  Advanced Python Programming

  Async Programming for I/O

  Data Structures and Algorithms

  Memory Management

  Performance Optimization

• 1.2 ML and NLP Basics

  Machine Learning Fundamentals

  Neural Networks Overview

  NLP Text Processing

  Language Model Basics

  Evaluation Metrics

Topics:

• 2.1 Classical IR Methods

  Boolean Retrieval

  TF-IDF Algorithm

  BM25 Scoring

  Inverted Indexes

  Query Processing

• 2.2 Modern Search Systems

  Search Engine Architecture

  Ranking Algorithms

  Query Understanding

  Relevance Scoring

  Performance Metrics

Topics:

• 3.1 RAG Fundamentals

  What is RAG and Why Use It

  RAG vs Fine-tuning

  RAG Architecture Overview

  Core Components

  Types of RAG Systems

• 3.2 RAG Workflow

  Query Understanding

  Document Retrieval

  Context Formation

  Answer Generation

  Response Synthesis

Topics:

• 4.1 Embedding Fundamentals

  What are Embeddings

  Semantic Similarity

  Vector Dimensions

  Distance Metrics

  Embedding Properties

• 4.2 Embedding Models

  Sentence Transformers

  OpenAI Embeddings

  Cohere and Voyage AI

  Instructor and BGE Models

  Custom Fine-tuning

Topics:

• 5.1 Vector Operations

  Vector Spaces

  Cosine Similarity

  Euclidean Distance

  Dot Product

  Dimensionality Reduction

• 5.2 Advanced Concepts

  Dense vs Sparse Embeddings

  Cross-Encoders vs Bi-Encoders

  Multilingual Embeddings

  Multimodal Embeddings

  Compression Techniques

Topics:

• 6.1 Document Types and Parsing

  PDF Processing

  HTML/Web Scraping

  Office Documents

  Structured Data (JSON, XML)

  OCR for Scanned Documents

• 6.2 Text Extraction

  Table Extraction

  Image Caption Extraction

  Metadata Preservation

  Layout Analysis

  Multi-format Handling

Topics:

• 7.1 Text Cleaning

  Text Normalization

  Noise Removal

  Deduplication

  Language Detection

  Encoding Issues

• 7.2 Document Structure

  Sentence Segmentation

  Paragraph Detection

  Section Identification

  Header/Footer Removal

  Reference Resolution

Topics:

• 8.1 Basic Chunking Methods

  Fixed-Size Chunking

  Sentence-Based Chunking

  Paragraph-Based Chunking

  Sliding Window Approach

  Overlap Strategies

• 8.2 Advanced Chunking

  Semantic Chunking

  Recursive Chunking

  Context-Aware Chunking

  Hierarchical Chunking

  Document Structure Chunking

Topics:

• 9.1 Vector Database Technologies

  Pinecone Architecture

  Weaviate Features

  Qdrant Capabilities

  Milvus/Zilliz

  ChromaDB and FAISS

• 9.2 Database Operations

  CRUD Operations

  Indexing Mechanisms

  Query Processing

  Filtering and Metadata

  Performance Optimization

Topics:

• 10.1 Index Types

  Flat Index

  IVF (Inverted File)

  HNSW Algorithm

  LSH (Locality Sensitive Hashing)

  Product Quantization

• 10.2 Index Management

  Index Building

  Incremental Updates

  Index Versioning

  Reindexing Strategies

  Distributed Indexing

Topics:

• 11.1 Similarity Search

  k-NN Search

  Approximate NN Search

  Range Queries

  Threshold-Based Retrieval

  Diversified Search

• 11.2 Ranking Algorithms

  Scoring Functions

  Rank Aggregation

  Result Diversification

  Relevance Feedback

  Learning to Rank

Topics:

• 12.1 Hybrid Search

  Dense + Sparse Combination

  BM25 + Vector Search

  Reciprocal Rank Fusion

  Weight Optimization

  Cross-Encoder Reranking

• 12.2 Multi-Step Retrieval

  Coarse-to-Fine Retrieval

  Iterative Refinement

  Chain-of-Retrieval

  Recursive Retrieval

  Hierarchical Search

Topics:

• 13.1 Query Understanding

  Intent Detection

  Entity Extraction

  Query Expansion

  Query Rewriting

  Disambiguation

• 13.2 Semantic Matching

  Concept Extraction

  Synonym Expansion

  Knowledge Graph Integration

  Ontology Mapping

  Cross-Lingual Search

Topics:

• 14.1 Dense Retrieval Models

  DPR (Dense Passage Retrieval)

  ANCE Models

  ColBERT Architecture

  SBERT Fine-tuning

  Domain Adaptation

• 14.2 Learned Sparse Retrieval

  SPLADE Method

  DeepImpact

  DocT5Query

  Term Importance Learning

  Sparse-Dense Hybrids

Topics:

• Reranking Strategies

  Cross-Encoder Reranking

  MMR (Maximum Marginal Relevance)

  DuoBERT

  Cascade Ranking

  Personalized Ranking

• Query Optimization

  Query Processing Pipeline

  Query Caching

  Query Routing

  Load Balancing

  Performance Tuning

Topics:

• 16.1 LangChain for RAG

  Document Loaders

  Text Splitters

  Vector Store Integration

  Retrieval Chains

  QA Chains

• 16.2 LlamaIndex Implementation

  Index Types

  Query Engines

  Response Synthesis

  Node Postprocessors

  Storage Management

Topics:

• 17.1 Building from Scratch

  Pipeline Architecture

  Component Design

  State Management

  Error Handling

  Async Processing

• 17.2 System Integration

  LLM Integration

  API Development

  Caching Layers

  Monitoring Setup

  Performance Optimization

Topics:

• 18.1 Context Processing

  Context Window Limits

  Context Compression

  Relevant Context Selection

  Context Ordering

  Token Management

• 18.2 Context Quality

  Context Relevance

  Noise Reduction

  Deduplication

  Priority Scoring

  Dynamic Adjustment

Topics:

• 19.1 Generation Strategies

  Single Document Answering

  Multi-Document Synthesis

  Abstractive Summarization

  Extractive Answering

  Hybrid Generation

• 19.2 Response Quality

  Answer Verification

  Fact Checking

  Hallucination Prevention

  Confidence Scoring

  Source Attribution

Topics:

• 20.1 Multi-Turn Conversations

  Context Carryover

  Memory Systems

  Session Management

  Turn-Taking Strategies

  Clarification Handling

• 20.2 Personalization

  User Profiling

  Preference Learning

  Adaptive Responses

  History Tracking

  Recommendation Integration

Topics:

• 21.1 Agentic RAG

  Agent-Based Retrieval

  Tool Use in RAG

  Planning and Reasoning

  Multi-Step Retrieval

  Self-Improving RAG

• 21.2 Modular RAG

  Component Modularity

  Plug-and-Play Modules

  Module Composition

  Interface Design

  Module Optimization

Topics:

• 22.1 Knowledge Graph Integration

  Graph Data Models

  Entity and Relation Extraction

  Graph Construction

  Graph Embeddings

  Graph Neural Networks

• 22.2 Graph-Based Retrieval

  Subgraph Matching

  Path Finding

  Neighborhood Aggregation

  Reasoning over Graphs

  Graph-Enhanced Search

Topics:

• 23.1 Cross-Modal Systems

  Image-Text RAG

  Video RAG

  Audio RAG

  Document Layout RAG

  Unified Embeddings

• 23.2 Multimodal Retrieval

  Cross-Modal Search

  Feature Fusion

  Alignment Strategies

  Result Aggregation

  Quality Metrics

Topics:

• 24.1 Code RAG

  Code Understanding

  Repository Indexing

  API Documentation RAG

  Code Example Retrieval

  Debugging Assistance

• 24.2 Enterprise RAG

  Legal Document RAG

  Medical RAG

  Financial RAG

  Scientific Literature RAG

  Technical Documentation

Topics:

• 25.1 Self-RAG

  Self-Reflection Mechanisms

  Retrieval Necessity Detection

  Answer Quality Assessment

  Iterative Improvement

  Verification Loops

• 25.2 Adaptive RAG

  Query Routing

  Dynamic Pipeline Selection

  Confidence-Based Routing

  Fallback Mechanisms

  Online Learning

Topics:

• 26.1 Speed Optimization

  Latency Reduction

  Query Optimization

  Caching Strategies

  Parallel Processing

  Hardware Acceleration

• 26.2 Quality Optimization

  Relevance Tuning

  Precision/Recall Balance

  Ranking Optimization

  Diversity Enhancement

  Continuous Improvement

Topics:

• 27.1 RAG Evaluation

  RAGAS Framework

  Retrieval Metrics

  Generation Metrics

  End-to-End Metrics

  Human Evaluation

• 27.2 Testing Strategies

  Unit Testing

  Integration Testing

  Load Testing

  A/B Testing

  Regression Testing

Topics:

• 28.1 System Design

  Microservices Architecture

  API Gateway Design

  Message Queue Integration

  Event Streaming

  Service Mesh

• 28.2 Deployment Strategies

  Containerization

  Kubernetes Orchestration

  Serverless Deployment

  Multi-Region Setup

  Edge Deployment

Topics:

• 29.1 Security and Compliance

  Authentication/Authorization

  Data Encryption

  Access Control

  Audit Logging

  GDPR/HIPAA Compliance

• 29.2 Multi-Tenancy

  Tenant Isolation

  Resource Allocation

  Data Segregation

  Custom Configurations

  Billing Integration

Topics:

• 30.1 Monitoring and Observability

  Performance Dashboards

  Quality Monitoring

  Error Tracking

  Usage Analytics

  Cost Management

• 30.2 DevOps and Maintenance

  CI/CD Pipelines

  Infrastructure as Code

  Incident Response

  Disaster Recovery

  Continuous Updates