Venelin Valkov Courses

Object Detection on Custom Dataset with YOLO - Fine-Tuning with PyTorch and Python Tutorial

7 ratings

Fine-tune YOLO v5 for custom object detection using PyTorch. Learn model installation, training, evaluation, and application on a clothing dataset.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

DeepSeek Coder- AI Writes Code - LLM For Code Generation Beats ChatGPT, ChatDev & Code Llama

2 ratings

Explore DeepSeek Coder's capabilities in coding tasks, from simple functions to complex problems and app development. Compare its performance to other AI models in various programming scenarios.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Build 100% Local AI Agent to Chat with Your Files - Private AI Knowledge Base with MCP and RAG

1 rating

Discover how to build CogVault, a completely local AI agent that chats with your PDFs and documents using Qwen3, MCP tools, RAG, and Streamlit without cloud dependency.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Build Powerful AI Agents with ChatGPT-GPT-4 - Python Tutorial for Cryptocurrency Analysis

1 rating

Explore AutoGen for creating AI agents with LLMs. Learn to build a stock price analyzer and a multi-agent system for cryptocurrency analysis using Python and GPT models.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Vectorless RAG - Local Financial RAG Without Vector Database - Tree-Based Indexing with Ollama

1 rating

Discover how to build a local RAG system without vector databases using tree-based indexing, Ollama, and LangChain for financial document analysis.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Evaluate LayoutLMv3 for Document Classification - Save & Load Model to HuggingFace Hub

1 rating

Learn to evaluate LayoutLMv3 for document classification, save and load models to HuggingFace Hub, and analyze performance using confusion matrices in this hands-on tutorial.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Local Llama 3.2 (3B) Tutorial - Summarization, Structured Text Extraction, and Data Labelling

1 rating

Explore Llama 3.2 (3B) on Ollama for summarization, data extraction, and labeling. Learn setup, coding, and practical applications in this hands-on tutorial.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

Fine-Tuning LLM on Custom Dataset with Single GPU - Complete Tutorial for Sentiment Analysis

Master fine-tuning Qwen3 0.6B on financial news sentiment analysis using LoRA adapter, dataset prep, training setup, and model evaluation with single GPU implementation.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Build a Local Agentic RAG System to Analyze Financial Data and Stocks with LangGraph and Ollama

Master building an AI-powered financial analysis system using Agentic RAG with LangGraph and Ollama to process SEC filings and stock data locally.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Grok 4.1 vs Gemini 3 Pro - Which Model is THE ONE - Prompt and Coding First Look

Discover which AI model reigns supreme as Grok 4.1 and Gemini 3 Pro battle for top LMArena ranking through hands-on prompting and coding comparisons.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

How to Deploy LLMs - LLMOps Stack with vLLM, Docker, Grafana and MLflow

Master production-level LLM deployment using vLLM, Docker, Grafana & MLflow. Build a robust inference stack with monitoring, load balancing, and performance optimization for consumer GPUs.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

Advanced RAG Chunking - Contextual and Structural Chunking with LangChain and Ollama

Master advanced RAG chunking techniques using LangChain & Ollama to preserve document structure and inject contextual information, moving beyond simple character splitting methods.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

GLM-OCR (9B) - Local OCR Test - OCR, Document Extraction, Table Recognition

Discover GLM-OCR's 9B model capabilities for document OCR, extraction, and table recognition through hands-on testing and performance evaluation.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Is RAG Dead in 2026? - Build Local RAG from First Principles

Discover why RAG remains essential despite large context windows by building a local financial analyst agent from scratch using Python, Ollama, and TF-IDF retrieval.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Advanced Retrieval Pipeline for RAG - HyDE, Hybrid Search, Reranking - Build 100% Local Retrieval

Master advanced RAG retrieval by combining vector search, full-text search, and reranking algorithms using Python and PostgreSQL for production-ready systems.

• YouTube
• 15 minutes
• Self-Paced
• Free Video