CoursTech

Certified training

Master
LLM Engineering & Applications IA Génératives

Create and automate with AI

Practical skills for the AI era

Generative AI • Prompting • Automation

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245 000 FCFA

PAYMENT METHOD

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See the course in action

245 000 FCFA

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PAYMENT METHOD

Price shown and payment processed in CFA francs. FedaPay transaction fees are added to the displayed amount, shown before you confirm payment.

  • All content hours, with no expiry
  • CodeLab in the browser, nothing to install
  • AI tutor available at any hour
  • AI-graded exercises
  • Final exam and verifiable certificate + an optional field challenge for the Field Practice Validated distinction

Final exam: 2 attempts, 70% pass threshold. After a second failed attempt, a deferral period applies before retrying, with a €10 retake fee — see the Terms of Service.

Open module 1 for free

Lifetime access. No deadline: finish in 10 weeks or in ten months.

LLM Engineering & Generative AI Applications

Build end-to-end LLM solutions: advanced RAG, AI agents, and technical security

Level
Advanced
Duration
10 weeks
Total hours
50 h
Price
245 000 FCFA

The program, module by module

  1. Module 1 — LLM Architecture

    Understanding what happens between a prompt and its response — enough theory for good engineering decisions, no more.

  2. Module 2 — The OpenAI API in Depth

    Completion endpoints, function calling, structured outputs, streaming, and cost — building a complete Python client.

  3. Module 3 — The Claude API in Depth

    System prompts, tool use, extended thinking — and knowing when to prefer Claude over OpenAI.

  4. Module 4 — Gemini and DeepSeek APIs

    Gemini's native multimodality, DeepSeek's cost/performance ratio — building a multi-provider abstraction layer.

  5. Module 5 — Advanced RAG

    Intelligent chunking, re-ranking, hybrid RAG — improving a basic RAG and measuring the precision gain.

  6. Module 6 — Fine-Tuning

    Preparing a dataset, launching a fine-tune, evaluating the result against the base model — and knowing when to skip it.

  7. Module 7 — Vector Databases

    Choosing and sizing a vector database in production — migrating from in-memory storage to a managed database.

  8. Module 8 — AI Agents and Rapid Prototyping

    Advanced function calling, reasoning loops, multi-tool orchestration — demonstrable via Streamlit or Gradio.

  9. Module 9 — Technical Security for LLM Applications

    Prompt injection, jailbreak, context data leaks — compromising a vulnerable agent then fixing the flaws found.

  10. Module 10 — Final Project and Certification

    Certification

    Assembling RAG, agents, prototyping, and security into an application connected to internal data, on a context of your choice — then building and certifying your final project.

How long will it take me?

3 h/wk ≈ 17 wks

6 h/wk ≈ 9 wks

12 h/wk ≈ 5 wks

20 h/wk ≈ 3 wks

Estimates, not deadlines. Pause for a month and pick up where you left off.

CERTIFICATE VERIFIABLE ONLINE

What you deliver at the end

Assembling RAG, agents, prototyping, and security into an application connected to internal data, on a context of your choice — then building and certifying your final project.

See a sample certificate

How certification works

Three levels, from simplest to most demanding. Each one only claims what it actually verifies.

Attendance certificate

Earned by: Modules followed

Proves: You followed the track — no graded assessment.

Certificate of achievement

Earned by: Full track completed on the platform, final project included, and final exam passed

Proves: Your knowledge and your final project, evaluated by the platform.

Field Practice Validated distinction

Earned by: A field challenge completed after the exam, in a real situation, with evidence

Proves: A CoursTech mentor reviewed and validated a genuine real-world application.

The distinction is added to your certificate of achievement — it never replaces it: nothing off-platform ever blocks the certificate itself.

See a sample certificate with the distinction →