Develop Chat, Vector Search, VectorDB, RAG and EShop AI Apps using OpenAI, Ollama and Microsoft Extensions AI (MEAI)
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What you'll learn
- GenAI Concepts: LLM, Token, SLM, Prompt Engineering
- .NET + AI ecosystem: AI Development Tools and Libraries for .NET
- Setup LLM Providers: GitHub Models, Ollama, Azure AI Foundry
- Chat, Text Completions, Analysis and Function Calling w/ .NET
- Text Completion LLM with GitHub Models OpenAI gpt-5-mini model
- Classification, Summarization, Sentiment Analysis LLM Other Use Cases
- Structured Output in LLM for Data Extraction Use Case
- Build AI Chat App with .NET and gpt-5-mini model
- Invoke .NET functions using GH gpt-5-mini model with Function Calling
- .NET AI Vector Search using Vector Embeddings and Vector Store
- Generate Embeddings and Calculate Similarity w/ CosineSimilarity
- Develop .NET AI Vector Search App w/ Ollama and all-minilm embedding model
- Retrieval Augmented Generation (RAG) Application w/ .NET AI
- Build .NET Chat App w/ RAG Template w/ OpenAI gpt-5-mini model
- Build .NET Chat App w/ RAG Template using Ollama and all-minilm
- Build Image Analysis App w/ .NET and GH Models - OpenAI gpt-5-mini
- Build Image Analysis App w/ .NET and Ollama llava
- Build Eshop Vector Search App w/ .NET Aspire, gpt-5-mini and Qdrant Vector DB
- Add Qdrant Vector Database into .NET Aspire
- Unified AI building blocks: Microsoft Extensions AI (MEAI)