By Dinesh Dawadi

The Ultimate Duolingo English Test Masterclass: From Practice to Perfection

• 1h 22min 15s total hours
• All Levels

By Dinesh Dawadi

Microsoft Azure Machine Learning (ML) Fundamentals

• 1h 29min 3s total hours
• Experts

• Build basic data science experiments using Microsoft Azure Machine Learning
• Understand and apply Microsoft Azure Machine learning concepts to real world problems
• Learn Azure ML Studio

By Dinesh Dawadi

Machine Learning With Azure DevOps [2025]

• 27min 36s total hours
• Intermediates

• Train the Model
• Evaluation Production Model with Train Model
• Register Model

By Dinesh Dawadi

AI & ML Cloud Deployment For Beginners

• 2h 56min 16s total hours
• Intermediates

• Learn to build AI & ML solutions on the cloud
• Learn to use ML services of Microsoft Azure
• Learn to implement Deep learning models on cloud

By Dinesh Dawadi

Azure Machine Learning Preparation Practice Exams

• 0min 0s total hours
• All Levels

By Dinesh Dawadi

Azure AI Fundamentals and Machine learning

• 3h 6min 14s total hours
• Experts

• Using Natural Language Processing Services
• Conversational AI Concepts
• Conversational AI in Azure

By Dinesh Dawadi

Learn Azure Machine Learning from scratch

• 57min 20s total hours
• All Levels

• Master Azure Machine Learning
• Have a great intuition of many Azure Machine Learning models
• Build an army of powerful Machine Learning models and know how to combine them to solve any problem

By Dinesh Dawadi

Azure Machine Learning: Da Teoria à Prática

• 2h 23min 38s total hours
• All Levels

• Aplicar conceitos de aprendizado de máquina usando a plataforma Azure Machine Learning
• Aprenderá a criar e treinar modelos de aprendizado de máquina para analisar dados financeiros e fazer previsões.
• Explorar técnicas avançadas de aprendizado de máquina, como regressão, classificação, e entenderá como aplicá-las em diferentes cenários.

By Dinesh Dawadi

Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith

• 5h 38min 23s total hours
• Intermediates

• Build traditional RAG pipelines for accurate and efficient information retrieval.
• Implement advanced retrieval methods like hybrid search, multimodal RAG, and persistent memory.
• Design multi-agent and autonomous RAG systems using LangGraph for collaborative AI reasoning.

By Dinesh Dawadi

Complete Generative AI Course With Langchain and Huggingface

• 3h 8min 53s total hours
• Intermediates

• Learn to create advanced generative AI applications leveraging the Langchain framework and Huggingface's state-of-the-art models.
• Understand the architecture and design patterns for building robust generative AI systems.
• Gain hands-on experience in deploying generative AI models to various environments, including cloud platforms and on-premise servers.

By Dinesh Dawadi

Agentic AI - Private Agentic RAG with LangGraph and Ollama

• 2h 41min 31s total hours
• All Levels

• Build private, production-ready Agentic RAG systems using LangGraph v1 and Ollama.
• Create custom LLM workflows with LangGraph state machines, nodes, edges, and conditional routing.
• Implement PageRAG, metadata extraction, PDF processing with Docling, and page-level ingestion.

By Dinesh Dawadi

AI-Powered E-Commerce App with .NET 9, Angular 20 & RAG

• 1h 52min 9s total hours
• All Levels

• Build a fully functional, production-grade AI-powered e-commerce application using .NET 9 and Angular 20.
• Integrate semantic search with vector embeddings using Azure OpenAI or Ollama and pgvector in PostgreSQL.
• Implement a chatbot assistant that understands natural-language queries and recommends products contextually.

By Dinesh Dawadi

Complete RAG Testing course with Ragas Deepeval and Python

• 2h 12min 40s total hours
• All Levels

• Understand the Basics of LLMs
• Understand LLM Application types
• Gain know how on types of AI - Weak and Generative

By Dinesh Dawadi

RAG Agents: Build Apps & GPTs with APIs/MCP, LangChain & n8n

• 2h 21min 31s total hours
• All Levels

• Build traditional RAG pipelines for accurate and efficient information retrieval.
• Implement advanced retrieval methods like hybrid search, multimodal RAG, and persistent memory.
• Design multi-agent and autonomous RAG systems using LangGraph for collaborative AI reasoning.

By Dinesh Dawadi

RAG with Azure OpenAI (AI Search, CosmosDB, GraphRAG & more)

• 2h 48min 11s total hours
• All Levels

• RAG (Retrieval Augmented Generation): Using Private Data with LLM
• RAG with Azure AI Search
• RAG with Azure CosmosDB

By Dinesh Dawadi

Supercharge AI with Knowledge Graphs: RAG System Mastery NEW

• 1h 7min 2s total hours
• Beginners

• Understand Knowledge Graph Fundamentals
• Implement Knowledge Graphs with Neo4j
• Enhance the accuracy of RAG application with Knowledge Graphs