⭐ Recommended 🔥 Trending Building with Claude API: Production AI Apps with the Anthropic SDK
Master Anthropic's Claude API end-to-end: messages API, prompt caching, tool use, extended thinking, streaming, batch processing, files, citations, and vision. Build cost-efficient, production-grade AI features in any backend.
Oleksii Anzhiiak
Software Architect, Senior .NET Engineer & Co-Founder
By the end you'll be able to
- Use the Anthropic SDK to build production apps with Claude
- Implement streaming, tool use, and structured output the way Anthropic intends them
- Reason about cost, latency, and prompt-caching for production workloads
- Build the kind of Claude app a CTO will sign off on shipping
- Be the Claude-fluent engineer on your team — high-leverage skill in 2026
Is this course for you?
This is right for you if you…
- You're a Mid-to-Senior engineer who knows TypeScript or Python and wants the Anthropic-specific layer
- You're choosing between OpenAI and Anthropic SDKs and want a clear reason to pick one (or use both)
- You're shipping AI features at work and want to do it the way Anthropic engineers would
Don't take this course if you…
- You don't know TypeScript or Python — pick #11 / #15 first
- You want a vendor-agnostic AI course — try #22 (RAG/Agents) which uses raw SDKs and frameworks more broadly
- You don't want to pay per token in prod — most AI APIs are pay-per-use. Bedrock or self-hosted are alternatives (#23)
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. The same patterns and design decisions used there appear directly in the courses: identity & auth, distributed services, code review culture. You learn from someone shipping production code this week, not a textbook.
Syllabus
Six modules to ship production features powered by Claude:
- 1 Module 1: Anthropic SDK setup — Python and TypeScript clients, authentication, model selection (Opus, Sonnet, Haiku), pricing tiers
- 2 Module 2: Messages API deep-dive — system prompts, multi-turn conversations, stop sequences, streaming responses, server-sent events
- 3 Module 3: Prompt caching and cost optimization — cache breakpoints, TTL, hit-rate measurement, batch API for 50% cheaper async workloads
- 4 Module 4: Tool use and structured outputs — tool schemas, parallel tool calls, JSON mode, forcing tool choice, error recovery
- 5 Module 5: Extended thinking, vision, files, and citations — when to use thinking mode, image inputs, files API, grounded answers with citations
- 6 Module 6: Production hardening — retries and rate limits, observability, prompt injection defense, model migration playbook (4.5 → 4.6 → 4.7)
Prerequisites
Any backend experience. Prompt Engineering & AI Workflow Automation is helpful but not required.
Backend development experience in Python, TypeScript, or any modern language. Familiarity with REST APIs and JSON.
What you'll build
You leave with a Claude-powered app deployed end-to-end — streaming, tools, prompt caching, the works. Production-grade, not demo-grade. The exact skill that distinguishes 'I've used ChatGPT' from 'I ship AI products'.
- Anthropic SDK basics in TypeScript / Python
- Streaming, tool use, structured output, vision
- Prompt caching and cost optimisation
- Multi-turn conversations and state management
- Production patterns: retries, rate limits, error handling
Where this fits in your career
Read alongside this course
From C# to AI Agents: A .NET Developer's Path to Building with Claude
You already know C#, ASP.NET Core, and how to ship production backends. Here's how to reuse those skills to build serious AI agents with Claude — without throwing away your stack.
Claude Code in Production: What I Learned in 6 Months
Six months of using Claude Code as a daily-driver tool — the workflows that actually save time, the ones that quietly waste it, and the configuration most teams never set up.
When NOT to Use AI Tools as a Developer
Every AI article tells you when to reach for these tools. Almost none tells you when to put them down. After two years of daily use, here's where AI consistently makes engineers worse — and what to do instead.
First lesson on us. Decide after meeting the teacher.
Sit in on the first session. If after lesson 1 you decide the teacher isn't a 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
- 12 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.