Final-year students
Placement season is close and your resume still has no project on it.
Finish with three pieces of work you can demo in an interview.
AI Agents
Mistral and Le Chat Mastery — Fast, Efficient AI for Real Work
Use a fast, efficient assistant for the everyday work it is good at, and understand when a smaller open model is genuinely the better engineering choice.
- 4 weeksEstimated time
- 4Modules
- 15Lessons
- 3Projects
- YesCertificate
- FreePrice
No credit card. No sign-up required to preview. See the full syllabus
Who this course is for
Three people take this course. The work is the same; the reason is different.
Fresh graduates
You have the degree, but the job ads ask for proof of skill.
Build a portfolio before the next hiring round, not after it.
Career switchers
You are experienced elsewhere, new to this field, and starting from zero.
Learn the vocabulary and ship one published project that proves the switch.
Proof, not notes
What you will build
Every module ends in something finished. These are the pieces you leave with.
Pick one kind of document you actually receive
a syllabus, a results sheet, a form, a report — and build a prompt that turns any one of them into the same table, every time.
Skills used AI Agents
Portfolio project
A multilingual message summariser
a group you actually belong to
Skills used AI Agents
Portfolio project
A one-page guide to choosing
a model for a task, with your own measurements
Skills used AI Agents
Portfolio project
The brief
Your final project
A one-page guide to choosing
a model for a task, with your own measurements
- Write down, in one sentence, what the finished thing does and who it is for.
- Build it with the tools this course taught. A borrowed project cannot be explained in an interview.
- Run it from a clean start on another machine, and fix whatever breaks.
- Publish it, and put the link at the top of your resume's project section.
What changes
What you will be able to do
Not definitions to recite — tasks you can open a laptop and complete.
Roles this supports Data-entry-to-analysis and process-automation roles · Back-office roles that handle the same document all day · Support roles covering multiple languages
- Choose a small model for small work and a large one only when it is needed
- Extract a structured table from a long document in one pass
- Edit a draft inside a canvas instead of copying text back and forth
- Recognise the failure modes of a fast, concise model
- Run one API call on a free tier and respect its limits
- Build a document-to-table extractor for one real document type
The syllabus
Course curriculum
4 modules · 15 lessons. Open a module to see its outcome and lesson titles.
Module 1 Foundations — what Le Chat is Meet the tool, get an account, and learn the screen before you learn the prompting.
- 01 Meet Le Chat — what it is and who makes it Free preview
- 02 Signing in: what is free, what is paid, and what you actually need
- 03 The screen: where every control lives
Deliverable 3 practice tasks, one per lesson
Module 2 Prompting — getting a real answer How Le Chat reads text, the four-part prompt, your own work, and what to do when the answer is wrong.
- 04 How Le Chat reads what you type
- 05 The four-part prompt: role, task, context, format
- 06 Le Chat for the work you actually have
- 07 When the answer is wrong: iterate instead of restarting
Deliverable 4 practice tasks, one per lesson
Module 3 Files, tools and your own data Documents and tables, Speed, small open models and the canvas, the API, and one boring task automated.
- 08 Files, tables and long documents
- 09 Speed, small open models and the canvas — Le Chat's own feature
- 10 The Mistral API and open weights and your first script
- 11 Automate one boring task with Le Chat
Deliverable 4 practice tasks, one per lesson
Module 4 Career, projects and honesty A finished portfolio project, the privacy rules, the limits, and the Mistral AI certification paths.
- 12 Build the portfolio project: a document-to-table extractor
- 13 Ethics, privacy and what never to paste
- 14 Limits, hallucinations and how to check
- 15 Get certified: the official Mistral AI paths
Deliverable 4 practice tasks, one per lesson
Lesson explanations, worked examples and practice tasks are in the learning player, not on this page — so you can read the syllabus without scrolling through the whole course.
How the course works
Every lesson follows the same four steps. No passive video playlists.
- 1
Learn the concept
A short explanation in plain English, with the one idea the lesson depends on.
- 2
See a worked example
The same task done end to end, with the reasoning behind each step.
- 3
Complete the practice task
You write it yourself. The task is the lesson; the reading is only the setup.
- 4
Build and publish a project
Each module ends in work you can open, explain and attach to an application.
Way2Fresher Academy
Courses written for the fresher hiring market — not translated from a bootcamp built for another country.
- Plain English Every explanation is written to be read once, slowly, by someone new to the field.
- Project-first A practice task in every lesson and a project at the end of every module.
- No paywall The full syllabus, all lessons and the certificate are free. Nothing is held back for a paid tier.
4.5Average rating
5,400Learners
3Portfolio projects
15Lessons
The work is the proof
A fresher interview cannot assess a certificate. It can assess a project you can open, explain and change on the spot — which is why every course here ends in one.
- A finished project brief with an evaluation checklist
- A shareable repository, dashboard or case study
- A certificate that records the work, once every lesson is done
Frequently asked questions
The answers that decide whether this is the right six weeks.
Why learn a smaller provider?
Because most work is small, and because a fast, cheap model you can run yourself solves problems a premium model cannot — offline work, data residency, high volume.
Is this course about the chat app or the models?
Both, and deliberately. The chat app teaches the prompting, and the open models teach the judgement about when you do not need a big hosted model at all.
Do I need to know another AI tool first?
No. This course stands alone, though the four-part prompt from any of the other courses in this library will work here unchanged.
What will I have at the end of this course?
Three things: a document-to-table extractor, a saved set of prompts you wrote and tested on your own work, and a Way2Fresher certificate naming the course. Mistral AI also publishes its own learning material for the tools it makes, and the rail on this course page links to it.
Is the course really free?
Yes. Every lesson, practice task and project brief on this page is free to read, and no card is required. A free account only saves your progress and unlocks the certificate.
Do I need coding experience?
No. This course is written for beginner learners and every lesson starts from the tool itself. If you can use a browser and a file, you can start lesson one today.
How long will it take?
About 4 weeks. The course holds 15 lessons, each built around one practice task, so the calendar depends on how many sessions you can keep each week.
Start this course free.
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Mistral and Le Chat Mastery — Fast, Efficient AI for Real Work
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