Anthropic training, 1-on-1.You master Claude for real work.
An Anthropic expert opens the Console with you and shows you what works: picking between Opus, Sonnet and Haiku, writing solid prompts, analyzing your documents in long context, wiring the Claude API and agents. We start from your real cases, not theory.
★★★★★ 4.7/5 · 300+ pros trained · France Num certified
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GeminiWe ship Claude for real clients, not just in theory.
Most Anthropic trainings are run by people who read the docs the night before. At Hack'celeration it's the opposite: model choice, prompts in production, document analysis, Claude agents wired through MCP, that's our daily agency work. Everything we teach you, we practice on shipped projects. We know the traps (the prompt that works one day in two, the bill that blows up because you hit Opus for everything) because we've already solved them.
- We ship Claude workflows and agents for real clients every week, not just in theory
- 1-on-1 format: the trainer adapts to your level, from ChatGPT beginner to dev coding agents
- We tell you when Claude isn't the right call (sometimes another model or a plain script is enough)
- We start from your real prompts and your real docs, not a dummy example
Four pillars to master Claude at work.
Claude used badly means prompts that derail, the wrong model for the task, an API bill that climbs. Most of the trouble comes from the method, not the tool. We pick up your real cases and work through the four pillars together.
- The Claude models
Opus, Sonnet or Haiku, the right one per task
Claude isn't one model. Opus for heavy reasoning and complex code, Sonnet for the speed/quality balance day to day, Haiku when you need fast and cheap. We teach you to read the context window (up to 200K tokens, sometimes more), to weigh cost against quality, and to stop paying for Opus on tasks Haiku handles just fine.
See the models - Prompt engineering
Prompts that work, not incantations
We teach the techniques that hold up: XML tags to structure the ask, examples (few-shot), role prompting, prompt chaining, and thinking mode for reasoning tasks. You leave with your own prompts tested on your cases, not a list of 'magic prompts' copied off a blog. And we show you how to iterate when a prompt goes off the rails.
See the prompts - Document analysis
Your docs read and summarized, even the long ones
Claude's long context changes the game for document work. We load your real PDFs, contracts, reports and knowledge bases, and build prompts that extract, compare and summarize without hallucinating. We also cover when to move to RAG if you blow past the window, and how to cite sources so you can verify the answers.
See document analysis - API, agents and MCP
Build with the Claude API, from script to agent
We move to building: API call structure, error and rate-limit handling, prompt caching to cut the bill, streaming. Then tool use to give Claude actions, agents (chaining, routing, parallelization) and MCP to plug Claude into your tools. We start from your real case, and automate with n8n when it's simpler with no code.
See the automation
Meet our trainers, leave with a plan.
Drop your email. We get back to you to connect you with a Hack'celeration-certified trainer: we look at your use cases, spot where Claude saves you time, and tell you where to start. No commitment, even if you don't take the training.
- A diagnosis of your Claude use cases, ranked by impact
- The first prompts to put in place, on your real topics
- The right 1-on-1 format for your level and whether you code
- An honest take: Claude or another model for your case
Your Anthropic program, step by step.
Five steps, no skipping. Each one on your real cases, with a clear deliverable. From the first session we find where Claude actually saves you time. By the end, you run Claude without us.
- Step 1 · Use-case audit
We find where Claude actually saves you time
First session, we share your screen and list your repetitive tasks: writing, document analysis, support, code, research. Which ones does Claude actually move the needle on, and which are smoke and mirrors? We open the Anthropic Console, check whether you're on the right model (Opus, Sonnet, Haiku), and prioritize. You leave with a list of concrete cases ranked by impact, not theory.
- Step 2 · Your first effective prompts
We write prompts that return the right output on the first try
We tackle prompt engineering on your real cases. XML tags to structure the ask, few-shot examples to lock the format, role prompting, clear instructions. We test, we iterate, we keep what works. You also learn to pick the model per task and to use thinking mode when reasoning matters. By the end, you have a small library of prompts that are yours and that hold up, not a list copied off a blog.
- Step 3 · Analyzing your real documents
We load your docs and Claude reads them for you
We put Claude's long context (up to 200K tokens) to work on your own documents: contracts, reports, specs, meeting notes. We build prompts that extract, compare and summarize without hallucinating, and have Claude cite sources so you can verify. If your docs exceed the window, we cover how to move to RAG. You finish with a document-analysis workflow you replay on your real files.
- Step 4 · API, agents and MCP if relevant
We build with the Claude API, from script to agent
If your need goes beyond chat, we move to building. First calls to the Claude API, error and rate-limit handling, prompt caching to cut the bill, streaming. Then tool use to give Claude actions, and agents (chaining, routing) with MCP to plug Claude into your tools. And if a no-code workflow is enough, we build it in n8n. We only code what has to be coded.
- Step 5 · Autonomy
You run Claude without us
The number one goal: you become autonomous. By the end of the program, you know how to pick the right model, write a solid prompt, analyze your documents and wire up the API if you need it. You no longer need an agency to get value out of Claude day to day. And if you want to delegate later, we also run an Anthropic agency, but that's not the point here.
Why train 1-on-1 with us.
- 300+Pros already trained on AI
More than 300 people have gone through our trainings across France and Europe. Product teams, devs, small-business founders. Not vanity numbers: people who put Claude into their daily work and stopped copy-pasting random prompts.
- 4.7/5Rating across 334 verified reviews
Average rating of 4.7 out of 5, across 334 reviews. We won't promise everything is perfect: you have to practice on your real cases. But the 1-on-1 format makes the difference on a tool as fast-moving as Claude, which ships a new model every few months.
- 1:1A dedicated expert, not a class of 100
You're not a number in a webinar. A trainer opens the Anthropic Console with you, looks at your real prompts, and works through your actual cases. We schedule sessions around your availability, replays included.
A working agency, recognized by the French State.
Hack'celeration is certified Activateur France Numérique and holds the AI Ambassador title, both granted by France Num to organizations that genuinely drive the digital transformation of companies. On the ground, we ship Claude workflows and agents for clients every week, more than 300 pros trained and a 4.7/5 rating across 334 verified reviews, left by the people who took our programs, not just by the buyer.
- Certified Activateur France Numérique
- AI Ambassador (France Num)
- 300+ pros trained across France and Europe
- 4.7/5 across 334 verified reviews
The questions we get the most.
What is a 1-on-1 Anthropic training?
An individual program with a Claude expert, not a class of 100 people. We open the Anthropic Console with you, look at your real prompts, and work through your actual cases: model choice, prompt engineering, document analysis, API and agents. You ask your questions live, the trainer adapts the pace to your level. We schedule sessions around your availability, and you leave with concrete actions every time. That's what makes the difference on a tool as fast-moving as Claude.How much does the Anthropic training cost?
There is no single price. We connect you with a trainer certified by Hack'celeration, matched to your need and your level. It varies from one trainer to another, based on their profile and the format that fits your project.Claude or ChatGPT: which one to pick?
It depends on your use. Claude is often preferred for analyzing long documents (its context window goes up to 200K tokens, sometimes more), nuanced writing and code. ChatGPT has a wider plugin ecosystem and built-in image generation. Honestly, both are excellent and the gap shifts with every model release. In training we don't sell you a side: we show you on your real cases where Claude is better, and where another tool wins.Which Claude model should I use: Opus, Sonnet or Haiku?
It depends on the task. Opus for heavy reasoning, complex code, tricky analysis. Sonnet for the speed/quality balance day to day, it's the workhorse for most uses. Haiku when you need fast and cheap (classification, simple extraction, high volume). The classic mistake: paying for Opus on tasks Haiku handles just fine. In 1-on-1, we set the right model on each of your cases so you stop overpaying.Is the Claude API hard to get started with?
No, the basics are accessible. A Claude API call is a request with your key, the chosen model and your prompt. You can test it in minutes in the Anthropic Console. What takes practice is the rest: error and rate-limit handling, prompt caching to cut the bill, streaming, tool use and agents. The 1-on-1 format is built for that: we start from your exact level and build up gradually, on your real project.Do I need to code to take the Anthropic training?
No, not necessarily. A big chunk (model choice, prompt engineering, document analysis) happens in the Claude interface and the Anthropic Console, without a line of code. If you want to move to the API, agents and MCP, then a bit of code helps, but the 1-on-1 format adapts: beginner, we stay in chat and prompts. Seasoned dev, we jump straight to the API and tool use. And we can automate Claude no-code through n8n if you prefer.Can Claude analyze long documents?
Yes, it's one of Claude's strongest points. Its context window (up to 200K tokens, or hundreds of pages) lets it read entire contracts, reports or knowledge bases in one go. We teach you to build prompts that extract, compare and summarize without hallucinating, and to have Claude cite sources so you can verify the answers. If your documents exceed the window, we cover how to move to RAG. We work on your real files, not an example.What are MCP and tool use at Anthropic?
Tool use lets Claude call functions you define: query a database, run a calculation, hit an external API. Claude no longer just answers, it acts. MCP (Model Context Protocol) is Anthropic's open standard to connect Claude to your tools and data through MCP servers. It's the building block of agents. In training we cover them if your need points toward automation, and we build a real case together, not a throwaway demo.Is Claude suitable for a team or a company?
Yes. Claude comes in Team and Enterprise plans with access management, and the API lets you embed Claude in your own internal tools. The real issue with a team isn't the tool, it's adoption: shared prompts that work, the right reflexes on model choice, and documented workflows. That's exactly what we set up 1-on-1, and we can train several people from your team in parallel on their own cases.Is the training online or in person?
100% online, over video, 1-on-1. You join the sessions from anywhere, we share your screen and the Anthropic Console live. Sessions are recorded if you want to revisit them. The individual format means real interaction: you're not a number in a webinar of 100, the trainer answers your questions about your prompts and your cases. That's what makes learning concrete on a tool that moves as fast as Claude.
Claude deserves better than a random prompt. Meet your trainer.
Drop your email. An expert who ships Claude daily looks at your cases and shows you how to get real value out of it. No commitment, even if you don't take the training.