AI & ML

AI & LLM Engineering for .NET Architects

Free step-by-step lessons with examples, best practices, and interview preparation.

30 lessons 487 views Free
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AI & LLM Engineering for .NET Architects tutorial

Course contents

1. AI Foundations & Prompt Engineering

1 The LLM Landscape: Transformers, Attention, and Tokens 8 min 2 Advanced Prompt Engineering: Few-shot, Chain-of-Thought, and ReAct 8 min 3 Prompt Versioning & Management in Production 8 min 4 LLM Cost Estimation: Token accounting and budget strategies 8 min

2. Semantic Kernel & Integration

5 Introduction to Microsoft Semantic Kernel (SK) 8 min 6 Skills & Plugins: Extending the LLM with native C# functions 8 min 7 Planner & Orchestration: Automating complex multi-step AI tasks 8 min 8 Connectors: Switching between OpenAI, Azure OpenAI, and HuggingFace 8 min

3. Vector Databases & RAG

9 The RAG Pattern: Solving the 'Static Knowledge' problem 8 min 10 Embeddings Deep Dive: Converting text to math 8 min 11 Vector DBs: Azure AI Search vs Pinecode vs Milvus 8 min 12 Hybrid Search: Combining Keyword and Semantic search for accuracy 8 min

4. Advanced RAG Techniques

13 Document Chunking Strategies: Overlap, Slidewindow, and Semantic splitting 8 min 14 Recursive Document Processing for massive knowledge bases 8 min 15 Context Window Management: Summarization vs Truncation 8 min 16 Citations & Grounding: Ensuring the AI doesn't hallucinate 8 min

5. AI Safety & Guardrails

17 Content Moderation: Azure AI Content Safety integration 8 min 18 Prompt Injection: Defending against adversarial attacks 8 min 19 Punitiveness & Bias: Evaluating and mitigating model behavior 8 min 20 Self-Correction Patterns: Letting the AI check its own work 8 min

6. Small Language Models (SLMs) & Local AI

21 The rise of SLMs: Phi-3, Llama-3-8B, and Mistral 8 min 22 Running AI Locally with ONNX and LocalLLM 8 min 23 Quantization: Running 70B models on 16GB RAM 8 min 24 Edge AI: Deploying models to local devices and private clouds 8 min

7. Multimodal & Agentic AI

25 Multimodal AI: Processing Images, PDFs, and Audio in C# 8 min 26 Agentic Workflows: Multi-agent collaboration with AutoGen 8 min 27 Function Calling: Letting the LLM use your SQL and API tools 8 min 28 Memory Management: Ephemeral vs Long-term Semantic memory 8 min

8. FAANG AI Engineer Interview

29 Case Study: Designing a Global Enterprise AI Knowledge Assistant 8 min 30 Case Study: Building an Autonomous AI Agent for Software Dev 8 min

How this course is organized

  • Each lesson includes overview, steps, code, and interview tips
  • Use the sidebar on lesson pages to navigate
  • Content is original to Toolliyo—not copied from other sites
Begin first lesson Interview Q&A

Course quizzes

RAG-based Search System Project — Practice Quiz Prompt Engineering — Practice Quiz Multi-Agent System Project — Practice Quiz

Test your knowledge

Quizzes linked to this course—pass to earn certificates.

RAG-based Search System Project — Practice Quiz
Test your understanding of RAG-based Search System Project. Retrieval-Augmented Generation…
Advanced 15 min
Prompt Engineering — Practice Quiz
Test your understanding of Prompt Engineering Tutorial. Write effective prompts for LLMs a…
Intermediate 15 min
Multi-Agent System Project — Practice Quiz
Test your understanding of Multi-Agent System Project. Orchestrate multiple AI agents for …
Advanced 15 min
ML.NET — Practice Quiz
Test your understanding of ML.NET Tutorial. Machine learning inside .NET applications.
Intermediate 15 min
Chatbot with Memory Project — Practice Quiz
Test your understanding of Chatbot with Memory Project. Stateful chatbot with conversation…
Advanced 15 min
AI Fundamentals — Practice Quiz
Test your understanding of AI Fundamentals Tutorial. ML concepts, neural networks intro, a…
Intermediate 15 min
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