⭐ Recommended 🔥 Trending AI-Powered .NET Development
Integrate AI into your .NET applications using OpenAI and Azure OpenAI APIs. Build intelligent features: chat, summarization, embeddings, semantic search, and RAG pipelines — all in C# and ASP.NET Core.
Oleksii Anzhiiak
Software Architect, Senior .NET Engineer & Co-Founder
By the end you'll be able to
- Integrate AI features (LLM calls, embeddings) into existing .NET applications
- Use the right AI SDK in C# without fighting the language
- Add AI to a real backend without breaking architecture, security, or cost discipline
- Spot which problems benefit from AI vs which are better solved without it
- Ship AI-augmented .NET features that survive code review
Is this course for you?
This is right for you if you…
- You write .NET in production and your team is being asked 'why aren't we using AI yet'
- You want to add an AI feature to your existing app without rewriting the architecture
- You're a Mid-to-Senior .NET engineer and being the AI-aware one on your team is a clear career step
Don't take this course if you…
- You don't write .NET — pick one of the AI courses for the language you DO use (Python: #21-22, Anthropic SDK in TS: #25)
- You want to build a brand-new AI product (RAG, agents) — that's #22, this course is about adding AI to existing apps
- You think AI replaces backend engineering — this course is the opposite stance: AI augments the engineer, doesn't replace them
Who teaches this
Oleksii Anzhiiak
Software Architect, Senior .NET Engineer & Co-Founder
Oleksii Anzhiiak is a Software Architect, Senior .NET Engineer, and Co-Founder of ToyCRM.com and ProfectusLab. With over 15 years of experience, he specializes in distributed systems, cloud infrastructure, high-load backend development, and identity platforms. Oleksii designs complex architectures, builds secure authentication systems, and develops modern engineering education programs that help students achieve real career results.
Currently leads architecture for ToyCRM.com — a multi-tenant CRM platform built on .NET by our team. The same patterns and design decisions used there appear directly in the courses: identity & auth, distributed services, code review culture. You learn from engineers actively shipping production code, not from a textbook.
Syllabus
This course teaches you to build AI-powered .NET applications from scratch:
- 1 Module 1: OpenAI API fundamentals — chat completions, tokens, models, cost control
- 2 Module 2: Azure OpenAI setup — deployment, keys, endpoints, safety filters
- 3 Module 3: Semantic Kernel — orchestration framework for .NET AI apps
- 4 Module 4: Embeddings and vector search — OpenAI embeddings, Qdrant, cosine similarity
- 5 Module 5: RAG (Retrieval-Augmented Generation) — document ingestion, chunking, retrieval
- 6 Module 6: AI-powered features in ASP.NET Core — chat endpoint, summarization API, streaming
- 7 Module 7: AI agents and function calling — tools, plugins, autonomous task execution
- 8 Module 8: Production AI systems — caching, rate limiting, observability, cost tracking
Prerequisites
C# + ASP.NET Core (Introduction to C#, C# Pro, and ASP.NET Core recommended).
C# and ASP.NET Core knowledge required. Introduction to C#, C# Pro, and ASP.NET Core are ideal prerequisites.
What you'll build
You leave with AI features added to a real .NET backend — not 'a hello-world demo with an OpenAI key', but actual production-shaped code: streaming, error handling, cost guardrails, structured outputs. The hire-able skill is integrating AI into a sober codebase, not generating the demo.
- LLM API integration in C# (OpenAI, Azure OpenAI, Anthropic)
- Embeddings and vector search in .NET
- Streaming responses, retries, rate-limiting, cost control
- Structured output and tool/function calling
- Where AI does NOT belong in your codebase
Where this fits in your career
Read alongside this course
OpenSpec in 2026: The Operating System for Spec-Driven Development
Six weeks ago I installed @fission-ai/openspec. Yesterday I shipped a 14-file change in 90 minutes from a 200-line spec, in a brownfield codebase three engineers have been editing for two years — no merge conflicts, no review escalation. This is the senior-architect deep-dive on why OpenSpec is the first SDD tool that doesn't collapse under production reality.
Evals in 2026: The Test Suite for Systems That Aren't Deterministic
Your AI feature worked yesterday and fails today. No code change, no prompt change, no model change. That's what life without evals looks like. This is the third leg of the spec → context → evals trinity — and the discipline most teams skip.
Spec-Driven Development: When Your Spec Becomes the Codebase
I haven't written a function by hand in two months — and the codebase has never been healthier. Here's how spec-driven development changed what 'engineering work' means in 2026, the rules that keep the discipline honest, and where it still falls apart.
First lesson on us. Decide after meeting your instructor.
Sit in on the first session. If after lesson 1 you decide the instructor isn't the right fit, you don't pay for it — and no awkward conversation. (Trial offer applies to courses with more than 5 lessons; this one qualifies.)
Pricing & what's included
What's included
- 16 live sessions × 2 hours each — taught by the instructor, not a recording playback
- Slide deck for every session — yours to keep and refer back to
- Working code files and any data files used in class — cloned to your machine
- Weekly homework with personal code review from the instructor
- Recording on request — give the teacher a heads-up ("can't make Tuesday, please record it") and the session is recorded for you
Frequently asked questions
How much time per week will this take?
Plan for the live sessions plus roughly 1.5–2 hours of practice per session. Most students who finish on schedule put in 4–6 hours a week total. If you put in less, you still finish — it just takes longer.
What if I miss a class?
Tell the teacher BEFORE the session — "I can't make Tuesday, please record it" — and the teacher records that lesson and sends it to you. Recordings aren't a default catch-up archive; they're produced on request when you give a heads-up. After the lesson you do the homework, bring questions to the next session.
What's included in the price?
Live sessions with the teacher; the slide deck for each session (yours to keep); the working code files and any data files used in class; weekly homework with code review; and recordings of the sessions you give advance notice for. Anything beyond that — a certificate, alumni access, mock interviews — is listed explicitly in "What's included" above the FAQ for the courses where it applies.
What if I sign up and the teacher isn't a fit?
For courses with more than 5 lessons, the first session is effectively a trial — if after lesson 1 you decide the teacher isn't a fit, you don't pay for it. We'd rather you walk away after one lesson than push through 9 weeks of bad chemistry. (Courses with 5 or fewer lessons are short enough that the standard pricing applies — the trial offer doesn't make sense at that length.)
Can I get a refund partway through?
Yes, while more than half the course is still unused — i.e. you've attended fewer than 50% of the lessons. The refund covers the unused portion proportionally. Past the halfway point we don't refund, on the assumption that the value has been delivered.
Can I switch the language of instruction?
The live sessions run in the language listed under "Available Languages" above. Slides and code files are typically available in all four (English, Russian, Ukrainian, Georgian). Many students attend sessions in one language and read materials in another — that's normal.
Will I be ready for a real job after this course?
One course rarely gets anyone hired by itself — for any field. What this course gives you is the foundation a junior hiring manager expects: working code you wrote yourself, the vocabulary to read other people's code, and the practice habits that make you employable. The honest answer to "am I ready?" is on our roadmap (link in the page header) — open the level you want to reach and read the "You're ready when" checklist.
Can I pay in instalments?
Yes for courses with a "Monthly Payment" option in the at-a-glance ribbon — usually two or three equal monthly payments. Courses without that option are paid in one go. If the price is the blocker, write to us — we look at every case.