Online Cursussen

Cursussen in eigen tempo met videolessen, praktijkprojecten en uitgebreide leerpaden.

Audience

Level

✎You

◆Agent

✉Email

📅Calendar

📄Files

★Skills

💬Slack

⏱Schedule

✔Done

Build Your Personal AI Agent Assistant

All LevelsBinnenkort

AgentsPersonal assistant

Learn to build your own personal AI agent that manages email, calendar, files, and workflows. No programming experience required — configure Claude Code and Cowork with MCP integrations, custom skills, and automation to work for you daily.

Binnenkort

> make an AI agentclass Agent: def run(self, task): return self.think(task)

AI-Powered Development

All LevelsBinnenkort

CodingDevelopmentAgentsFullstackDevOps

Learn to build and ship your own AI agent chatbot interface using agentic AI coding tools. From first mockup to deployed product — master prompting, spec-driven design, databases, auth, and CI/CD with AI as your co-pilot.

Binnenkort

▸Prompt

◆Agent

◫RAG

◓Memory

⌕Search

</>Code

⇄API

⚙Planner

✔Output

Building AI Agents with Python

ADVANCEDBinnenkort

CodingPythonLangChainAgents

Understand generative AI, NLP, prompting techniques, and how to build intelligent AI agents.

Binnenkort

from sklearn.ensemble import RandomForestClassifierclf = RandomForestClassifier()clf.fit(X_train, y_train)clf.score(X_test, y_test)▸ 0.94

Applied Machine Learning

BEGINNERBinnenkort

CodingPythonMachine Learning

A practical introduction to machine learning: Python environments, core ML concepts, and hands-on projects.

Binnenkort

β = (XᵀX)⁻¹Xᵀyθ = θ − α∇J(θ)σ(x) = 1 / (1 + e⁻ˣ)L = ¹⁄ₙ Σ(ŷ − y)²m = β₁m + (1−β₁)ga · b = Σ aᵢbᵢD = √((x−μ)ᵀΣ⁻¹(x−μ))P(y) = eᶻ / ΣeᶻH = −Σ y log(ŷ)P(A|B) = P(B|A)P(A) / P(B)G = 1 − Σ pᵢ²J + λ‖w‖²

Foundational Machine Learning

ADVANCEDBinnenkort

CodingPythonFundamentalMachine Learning

50+ video hours, 6+ projects covering ~50 ML topics. From data cleaning to model explainability.

Binnenkort