Welcome
Week 1. Foundations and AI-assisted development
Week 2. AI opportunities and Azure setup
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Overview (3:24)
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Understand LLMs, prompts, and tokens (29:22)
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Prompt Optimisation Basics (8:23)
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Spot AI opportunities (11:14)
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Practice: Spot AI opportunities
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Azure AI Offering (18:00)
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Azure AI Setup (10:40)
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Practice: Azure AI Setup
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Practice: Prompt Lab
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Solution: Prompt Lab (5:30)
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How we call LLMs in C# (7:00)
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Practice: Connect to Azure AI (1:26)
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Solution: Connect to Azure AI (9:46)
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Resources
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Office Hours Recording (75:58)
Week 3. First AI features
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Overview (7:00)
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AI Enhancement Architecture (21:29)
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Completions API and Response Format (8:49)
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Practice: AI Enhancement Backend (3:24)
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Solution: AI Enhancement Backend (15:44)
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AI-Powered UI Patterns (13:12)
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Practice: AI Enhancement UI (1:36)
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Solution: AI Enhancement UI (9:19)
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AI in Production (13:15)
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Office Hours Recording (55:50)
Week 4. Smart detection
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Overview (8:25)
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Smart CSV Detection Patterns (11:03)
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Practice: Smart CSV Detection Backend (3:53)
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Solution: Smart CSV Detection Backend (10:11)
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Practice: Smart CSV Detection UI (1:07)
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Solution: Smart CSV Detection UI (4:38)
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Multimodal AI and Vision (9:15)
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Practice: Image Import Backend (4:46)
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Solution: Image Import Backend (9:37)
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Practice: Image Import UI (1:20)
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Solution: Image Import UI (4:56)
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Office Hours Recording (87:15)
Week 5. RAG and semantic search
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Overview (2:44)
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RAG and Embeddings (17:14)
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Practice: RAG Enhancement Backend (9:42)
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Solution: RAG Enhancement Backend (12:13)
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Natural Language Queries (7:38)
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Practice: NLQ Backend (1:17)
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Solution: NLQ Backend (12:20)
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Practice: NLQ UI (1:03)
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Solution: NLQ UI (5:42)
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Prompt Injection and Protection (18:54)
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Fallback Strategies for AI Features
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Bonus: Analytics Insights (0:49)
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Resources
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Office Hours Recording (70:08)
Week 6. Agents with tools
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Overview (3:36)
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Agentic AI and Autonomous Systems (12:39)
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Practice: Recommendation Agent (Backend) (4:06)
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Solution: Recommendation Agent (Backend) (12:34)
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Practice: Recommendation Agent UI (0:48)
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Solution: Recommendation Agent UI (5:09)
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Tool Calling Patterns (11:53)
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Practice: Agentic Tools (2:06)
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Solution: Agentic Tools (10:50)
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Bonus: Agentic Natural Language Queries (2:46)
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Office Hours Recording (78:21)
Week 7. MCP servers
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Overview (2:28)
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Model Context Protocol (14:43)
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Practice: MCP Server (2:20)
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Solution: MCP Server (6:42)
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MCP Prompts and Resources (3:17)
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Practice: MCP Prompts (1:07)
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Practice: MCP Prompts (0:56)
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Solution: MCP Prompts and Resources (5:11)
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Consuming MCP Servers from C# (5:01)
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Resources
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Office Hours Recording (68:35)
Cohort Conclusion
Bonus Week 8. LLM Observability
