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Backend · Intermediate

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

Oleksii Anzhiiak

Software Architect, Senior .NET Engineer & Co-Founder

Price 1390₾ 695₾ × 2 months
Duration 8 weeks
Level Intermediate
Total Lessons 16 2/week
Delivery Modes Online · In-Person
Available Languages 🇬🇧 🇷🇺 🇺🇦

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

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.

Shipping production code

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.

View all 28 courses by Oleksii Anzhiiak

Syllabus

This course teaches you to build AI-powered .NET applications from scratch:

  1. 1 Module 1: OpenAI API fundamentals — chat completions, tokens, models, cost control
  2. 2 Module 2: Azure OpenAI setup — deployment, keys, endpoints, safety filters
  3. 3 Module 3: Semantic Kernel — orchestration framework for .NET AI apps
  4. 4 Module 4: Embeddings and vector search — OpenAI embeddings, Qdrant, cosine similarity
  5. 5 Module 5: RAG (Retrieval-Augmented Generation) — document ingestion, chunking, retrieval
  6. 6 Module 6: AI-powered features in ASP.NET Core — chat endpoint, summarization API, streaming
  7. 7 Module 7: AI agents and function calling — tools, plugins, autonomous task execution
  8. 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

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

1390₾ Monthly Payment: 695₾ × 2 months Active discounts & offers →

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.

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