The EduCut.ai Academy: AI training courses
A focused AI-only portfolio built around precise professional needs — from productivity and business functions to LLMs, RAG, agents, governance, security and enterprise transformation. Courses are continuously updated and expanded as AI evolves.
Catalogue updated
AI & data foundations
AI Foundations
Build a rigorous understanding of the core disciplines behind modern AI — from machine learning and deep learning to NLP, computer vision, reasoning, safety and AI systems.
Explore AI Foundations courses → A002 · 20 coursesGenerative AI
Understand how generative AI works and how to use it effectively across professional workflows, from foundation models and multimodal systems to practical business applications.
Explore Generative AI courses → A005 · 18 coursesData Analytics
Strengthen the statistical, mathematical and analytical foundations needed to interpret data, build reliable analyses and support better evidence-based decisions.
Explore Data Analytics courses →AI strategy & transformation
AI Transformation
Turn AI ambition into enterprise execution — assess readiness, define strategy, prioritize use cases, redesign processes, develop skills, govern risk, measure ROI and scale transformation.
Explore AI Transformation courses → A006 · 10 coursesAI for Leaders
Equip leaders to identify valuable AI opportunities, make informed investment decisions, lead adoption, govern risk and build an AI-ready organization.
Explore AI for Leaders courses → A004 · 10 coursesAI Productivity
Turn AI into a practical productivity layer for daily work — improving communication, documents, meetings, research, spreadsheets, planning and repeatable workflows.
Explore AI Productivity courses →AI for business functions
AI for Marketing
Apply AI across the marketing lifecycle — from strategy, content and social media to SEO, advertising, customer insight, analytics, personalization and automation.
Explore AI for Marketing courses → A008 · 10 coursesAI for Finance
Use AI to enhance financial analysis, reporting, forecasting, accounting, modeling, risk management, investment analysis and finance-team automation.
Explore AI for Finance courses → A009 · 10 coursesAI for HR
Apply AI across the employee lifecycle — recruitment, onboarding, learning, performance, engagement, workforce planning, people analytics and responsible HR transformation.
Explore AI for HR courses → A010 · 10 coursesAI for Education
Integrate AI into teaching and learning — from course design and classroom engagement to personalization, assessment, content creation, research and academic integrity.
Explore AI for Education courses →Building with LLMs
LLM Engineering
Move from LLM fundamentals to production systems — covering context engineering, APIs, embeddings, vector search, RAG, fine-tuning, agents, evaluation, security and LLMOps.
Explore LLM Engineering courses → A013 · 10 coursesRAG Systems
Design reliable knowledge-powered AI systems by mastering document ingestion, chunking, embeddings, retrieval, context engineering, advanced RAG, evaluation, security and RAGOps.
Explore RAG Systems courses → A014 · 10 coursesAI Agents
Learn how to design AI systems that can plan, use tools, manage memory and state, access knowledge, collaborate with other agents and operate safely in production.
Explore AI Agents courses → A011 · 10 coursesAI for Developers
Help software teams use AI across the development lifecycle and build AI-powered applications using prompting, APIs, RAG, agents, testing, automation and secure production practices.
Explore AI for Developers courses → A003 · 10 coursesPrompt Engineering
Learn to design reliable prompts for everyday work, data analysis, software development, research, multimodal AI and advanced agentic or RAG-based applications.
Explore Prompt Engineering courses →Trustworthy AI
AI Governance
Create the organizational controls needed to govern AI at scale — policies, risk assessment, lifecycle governance, compliance, vendor oversight, auditability and enterprise governance programs.
Explore AI Governance courses → A015 · 10 coursesResponsible AI
Build AI that is trustworthy and accountable by addressing ethics, fairness, transparency, privacy, safety, governance, regulation and responsible use of generative and agentic AI.
Explore Responsible AI courses → A017 · 10 coursesAI Security
Protect AI systems across their lifecycle — from threat modeling and prompt injection to RAG and agent security, model supply chains, red teaming, monitoring and incident response.
Explore AI Security courses →Which academy is right for you?
Some academies sit close together. This is how they differ.
Building AI applications
| Academy | Focus | Choose it if… |
|---|---|---|
| AI for Developers | Using AI across everyday software development | you write software and want AI-assisted coding, testing, debugging and DevOps automation |
| LLM Engineering | Building LLM applications end to end | you build products on large language models: APIs, embeddings, fine-tuning, evaluation and LLMOps |
| RAG Systems | Grounding AI in your organization's knowledge | your assistants must answer from your own documents and data with reliable retrieval |
| AI Agents | AI systems that plan and act with tools | you build agents that use tools, keep memory and run multi-step or multi-agent workflows |
Trustworthy AI
| Academy | Focus | Choose it if… |
|---|---|---|
| Responsible AI | Principles: ethics, fairness, transparency, privacy | you need a shared understanding of how to design and use AI responsibly |
| AI Governance | Organizational controls and compliance | you own AI policies, risk and impact assessment, EU AI Act compliance, vendors or audit |
| AI Security | Protecting AI systems against attacks | you secure AI applications against prompt injection, data leakage and misuse, and run red teaming |
Leading with AI
| Academy | Focus | Choose it if… |
|---|---|---|
| AI for Leaders | The individual executive | you are a leader who must set AI strategy, choose use cases, justify ROI and lead people |
| AI Transformation | The organization-wide program | you run an enterprise AI program: readiness, roadmap, operating model, change and value measurement |
Questions about the EduCut.ai courses
How many courses does EduCut.ai offer?
212 courses, organized into 18 specialized academies — from AI foundations and generative AI to AI for business functions, LLM engineering, RAG, AI agents, responsible AI, governance, security and transformation.
What levels are the courses?
Courses are offered at foundation (53 courses), intermediate (106 courses) and advanced (53 courses) level.
How long is a course?
150 courses take 9 hours (6 h online + 3 h personal work) and 62 courses take 12 hours (8 h online + 4 h personal work).
How are the courses delivered?
Blended: instructor-led online sessions combined with self-paced personal work.
Do the courses include a certificate?
Yes. Certificate awarded upon completion.
In which language are the courses taught?
English, and translation is available.
How do I choose the right courses?
Take the free 3-minute assessment to receive personalized 3, 5 and 7-course paths, or book a free one-hour consultation with EduCut.ai.
How can I get the full catalogue?
Request the complete EduCut.ai catalogue by business email from the contact page.