The curriculum, on two tracks

What you learn in the AI courses, course by course

Choose your track and see, for each course, the topics you cover, the level, the duration and the plan that opens it.

  • 50 courses, 1,459 lessons
  • ~1,257 hours of content
  • AI Professor in every lesson
  • Certificate of Completion for each course

A single course costs €99 per month. The plan for a track: Business, €299 per month, or IT Pro, €399 per month, VAT included.

The IT Pro track

What you will learn on the IT Pro track: from LLM integration to AI systems in production

For: Developers, software engineers, architects, CTOs

The technical track, with code: LLM integration, RAG, AI agents, MCP, MLOps, evaluation and the security of AI systems. Each course has text lessons with applied examples, quizzes on the lessons and the AI Professor, which starts from the lesson you are reading.

courses
25
lessons
720
hours of content
~627
levels
Beginner → Expert

By the end you will be able to

  • Integrate LLM APIs into production applications with streaming, tool use and error handling
  • Design RAG pipelines and agent memory with context engineering
  • Build AI agents and MCP servers in Python and TypeScript
  • Evaluate and secure LLM applications, then ship an AI SaaS with authentication, billing and observability

These are the skills you practise on the career path “AI Engineering”: 11 of the track’s 25 courses, put in order, in 4 stages. Actual results depend on the time you invest and on your previous experience.

The 25 IT Pro courses, with their topics

Open a course to see its main topics.

  • Beginner2
  • Intermediate2
  • Advanced20
  • Expert1

AI Engineering

8 courses · 222 lessons · ~198 hours

Fundamentals and architecture of AI systems for developers

  1. Introduction to AI Engineering Recommended Beginner 28 lessons ~25 hours 8 topics

    Learn AI Engineering from scratch: LLM APIs, prompt engineering, RAG, AI agents and production best practices. Hands-on English course, updated for 2026.

    Main topics

    1. Fundamentals of Artificial Intelligence
    2. Machine Learning Essentials
    3. Large Language Models and Modern Architectures
    4. Working with LLM APIs and Integrations
    5. AI Tools for Developers
    6. RAG, Embeddings and Vector Databases
    7. AI Agents and Automation
    8. Evaluation, Testing and AI Security
  2. AI for Cybersecurity: Threat Detection and SOC Operations Advanced 30 lessons ~25 hours 8 topics

    Master AI for defensive cybersecurity: AI-augmented SIEM, UEBA, MITRE ATT&CK detections, threat hunting, triage, SOAR and analyst copilots. Blue-team, 2026.

    Main topics

    1. AI in Cybersecurity 2026 and the Threat Landscape
    2. The Modern SOC and AI-Augmented SIEM
    3. Anomaly Detection and UEBA
    4. Threat Detection and Threat Hunting with AI
    5. Alert Triage and Reducing False Positives
    6. SOAR Automation and Safe Response
    7. Detecting Threats: Logs, Network, Malware and Phishing
    8. Threat Intelligence and Vulnerability Management
  3. AI Security: Defending LLM Applications (OWASP LLM Top 10, Guardrails, Red-Teaming) Advanced 30 lessons ~25 hours 8 topics

    Defend LLM apps: prompt injection, data leakage, excessive agency. Master the OWASP LLM Top 10, guardrails, authorized red-teaming and AI compliance (2026).

    Main topics

    1. The LLM Threat Landscape in 2026
    2. Prompt Injection: The Defining Threat
    3. Insecure Output Handling and Downstream Exploits
    4. Guardrails: Input and Output Filtering
    5. Securing RAG and Agents: Excessive Agency
    6. Data Protection: PII, Leakage, and Poisoning
    7. Supply Chain, Secrets, and Denial of Service
    8. Red-Teaming Your Own LLM Applications (Authorized)
  4. Context Engineering and Memory for AI Agents: Beyond Prompting Recommended Advanced 25 lessons ~24 hours 8 topics

    Engineer context and memory for AI agents: context anatomy, memory layers, retrieval, compaction, multi-agent systems and cost optimization. For 2026.

    Main topics

    1. Why Context Engineering: Beyond Prompting
    2. The Anatomy of Context: The Components of the Inference Window
    3. Memory Types for AI Agents
    4. Memory Managers and Persistence: Extraction, Consolidation, Store
    5. Retrieval Strategies for Context: Vector, Graph, Relational, Hybrid
    6. Compaction and Context Window Management
    7. Context Engineering for Multi-Step and Multi-Agent Systems
    8. Evaluating and Debugging Context and Memory
  5. LLM Evaluation and Testing: Shipping Reliable AI Advanced 30 lessons ~25 hours 8 topics

    Master LLM evaluation and testing: LLM-as-a-judge, golden datasets, RAG and agent evals, CI/CD regression testing and production monitoring. 2026 course.

    Main topics

    1. Foundations: Why LLM Evaluation Is Hard and Essential
    2. Classic Metrics and Why They Fail on Open-Ended Text
    3. LLM-as-a-Judge: Design, Bias and Calibration
    4. Building Evaluation Datasets
    5. The Evaluation Tooling Landscape
    6. Evaluating RAG Systems
    7. Evaluating AI Agents
    8. Safety, Guardrails and Red-Teaming Evaluation
  6. MCP (Model Context Protocol) — Building Servers and Integrations (Enterprise Edition) Recommended Advanced 22 lessons ~25 hours 8 topics

    Build MCP servers in Python and TypeScript: protocol architecture, OAuth 2.1, security, Docker and Kubernetes, CI/CD to production. Hands-on course for 2026.

    Main topics

    1. MCP Fundamentals and Architecture
    2. Building MCP Servers with Python
    3. Building MCP Servers with TypeScript
    4. Transport, Authentication and Configuration
    5. Enterprise Patterns and Production Architectures
    6. MCP Security and Compliance
    7. Testing, Containerization and CI/CD
    8. End-to-End Practical Projects
  7. RAG: Retrieval-Augmented Generation in Practice Recommended Advanced 27 lessons ~24 hours 8 topics

    Master RAG end to end: embeddings, chunking, vector databases, hybrid search, re-ranking, Agentic RAG and production scaling. Hands-on course for 2026.

    Main topics

    1. RAG Fundamentals
    2. Implementing the RAG Pipeline
    3. Embedding Models and Document Processing
    4. Advanced RAG
    5. Advanced RAG Architectures
    6. RAG in Production
    7. RAG Tools and Frameworks
    8. Systematic RAG Evaluation and Testing
  8. Voice AI and Realtime Multimodal Agents Advanced 30 lessons ~25 hours 8 topics

    Build production voice AI and realtime multimodal agents in 2026: STT, TTS, the Realtime API, WebRTC, barge-in, telephony, evaluation, cost, and safety.

    Main topics

    1. Foundations of Voice AI in 2026
    2. Speech-to-Text: Modern ASR
    3. Text-to-Speech: Neural Voices
    4. The Realtime API and Speech-Native Models
    5. Building a Voice Agent: Orchestration
    6. Function Calling and Multimodal Voice
    7. Telephony and SIP for Voice Agents
    8. Evaluation, Testing, and Safety

AI for Developers

9 courses · 257 lessons · ~228 hours

Integrating AI into the development workflow

  1. Vibe Coding: From Prompt to Application with Lovable, v0, Bolt and Replit Agent Beginner 22 lessons ~24 hours 8 topics

    Build full-stack apps from prompts with Lovable, v0, Bolt and Replit Agent — and ship them safely: security, GDPR, EU AI Act. No code required.

    Main topics

    1. What Vibe Coding Is and Where It Makes Sense
    2. The Anatomy of Prompt-to-App: From Specification to Application
    3. A Comparative Tour of the Tools: Lovable, v0, Bolt, Replit Agent
    4. Essential Integrations: Database, Auth, Versioning, Payments and Deployment
    5. From MVP to Something Usable: Production Limits
    6. Security for Non-Engineers: The Weaknesses of AI Code
    7. Shadow IT and Sensitive Data
    8. Ownership, Licenses and Liability
  2. The Complete Prompt Engineering Masterclass Recommended Intermediate 32 lessons ~27 hours 8 topics

    Master prompt engineering in depth: Chain-of-Thought, Tree-of-Thought, multi-modal prompting, agents and production workflows. 32 hands-on lessons for 2026.

    Main topics

    1. Prompt Engineering Fundamentals
    2. Advanced Prompting Techniques
    3. Multi-Modal Prompt Engineering
    4. Prompt Engineering for AI Agents
    5. Prompt Engineering for Code
    6. Prompt Engineering for Business
    7. Prompt Security and Guardrails
    8. Evaluating and Optimising Prompts
  3. Advanced LLM Integration in Production Applications Recommended Advanced 24 lessons ~26 hours 8 topics

    Integrate LLMs into production apps: streaming, function calling, MCP, multi-model routing, cost optimization, security and observability. Updated for 2026.

    Main topics

    1. Fundamentals of LLM Integration in 2026
    2. Streaming and Error Handling
    3. Function Calling and Tool Use
    4. Model Context Protocol (MCP)
    5. Multi-Model Orchestration and Optimization
    6. Productionization
    7. Security and Compliance
    8. Advanced Capabilities for 2026
  4. AI Agents: Architecting and Automating Autonomous Systems Recommended Advanced 30 lessons ~26 hours 8 topics

    Build autonomous AI agents: ReAct reasoning, LangGraph, MCP, workflow automation, security, observability and production deployment. Updated for 2026.

    Main topics

    1. Fundamentals of Autonomous AI Agents
    2. Memory, State and Advanced Reasoning
    3. Frameworks and SDKs for AI Agents
    4. Model Context Protocol (MCP) and Interoperability
    5. Workflow Automation with AI
    6. Agentic Design Patterns for Production
    7. Security, Guardrails and Compliance
    8. Observability, Evaluation and Testing
  5. Build and Ship a Production AI SaaS: From Idea to Paying Users Advanced 30 lessons ~25 hours 8 topics

    Build and ship a real AI SaaS in 2026: validate the idea, pick the stack, integrate LLMs and RAG, add Stripe billing and observability, then go to market.

    Main topics

    1. Idea and Product Validation for an AI SaaS
    2. Choosing Your Stack: Frontend, Backend, and LLM APIs
    3. Integrating the LLM: Streaming, Tools, and Cost Control
    4. Vector Search and RAG for Your Product
    5. Authentication and Multi-Tenancy
    6. Billing with Stripe: Subscriptions, Webhooks, and Usage
    7. Rate Limiting and Abuse Prevention
    8. Observability and Evaluations in Production
  6. Claude Code Mastery: Agentic Coding from the Terminal (multi-file, git, CI, MCP) Recommended Advanced 28 lessons ~25 hours 8 topics

    Master Claude Code: multi-file editing, git workflow, headless mode, subagents, hooks, CI/CD, MCP and security. Terminal-first course updated for 2026.

    Main topics

    1. Claude Code Fundamentals: Installation, CLI and the Agent-First Mental Model
    2. Multi-File and Large Codebases: Plan, Edit, Review and Context Management
    3. The Full Git Workflow: Branches, Commits, Conflicts, Code Review and PRs
    4. Headless Mode (claude -p) and Non-Interactive Automation
    5. Subagents and Agent Teams: Orchestration, Delegation and Controlled Parallelization
    6. Lifecycle Hooks: Deterministic Guardrails and Custom Automations
    7. CI/CD Integration: GitHub Actions with claude-code-action and GitLab CI/CD
    8. MCP in Practice: Consuming External Tools with Least-Privilege Permissions
  7. Data Engineering for AI: Pipelines, Vector Stores and Data Quality Advanced 31 lessons ~26 hours 8 topics

    Master data engineering for AI: batch vs streaming, Kafka, Airflow, dbt, lakehouse, data quality, feature stores, embeddings and vector databases. 2026.

    Main topics

    1. The Data Foundation of AI Systems
    2. Storage and Table Formats: Parquet and Iceberg
    3. Ingestion from Diverse Sources
    4. ETL/ELT and Orchestration
    5. Data Quality, Validation, and Contracts
    6. Preprocessing for LLMs and RAG
    7. Feature and Embedding Pipelines
    8. Vector Databases in Depth
  8. Time Series Forecasting with Machine Learning Advanced 30 lessons ~25 hours 8 topics

    Master time series forecasting with ML: ARIMA, ETS, XGBoost, N-HiTS, PatchTST, foundation models, conformal intervals and deployment. Hands-on 2026 course.

    Main topics

    1. Foundations of Time Series Forecasting
    2. Exploratory Analysis and Preprocessing
    3. Evaluating Forecasts Honestly
    4. Classical Baselines and Statistical Models
    5. Feature Engineering for Time Series
    6. Machine Learning for Forecasting
    7. Deep Learning for Time Series
    8. Transformers and Foundation Models
  9. Cursor as a Pro: AI-Native IDE, Composer and Multi-Agent 2026 (Enterprise Edition) Recommended Expert 30 lessons ~25 hours 8 topics

    Master Cursor 3 like a pro: Composer, model routing, Background Agents, Design Mode, MCP, enterprise security and team workflows. Updated September 2026.

    Main topics

    1. Cursor 3 Fundamentals
    2. Composer Mastery
    3. Model Selection and Intelligent Routing
    4. Background Agents and Cloud
    5. Design Mode and Terminal-Driven Development
    6. MCP and the Cursor Ecosystem
    7. Code Quality and Security
    8. Team Productivity and Enterprise

MLOps & Deployment

3 courses · 90 lessons · ~75 hours

Deploying, monitoring and operating ML models

  1. AI for DevOps and SRE: AIOps in Practice Advanced 30 lessons ~25 hours 8 topics

    Master AIOps for DevOps and SRE: intelligent observability, anomaly detection, AI-assisted incident response, RCA, CI/CD and DevSecOps. Advanced 2026 course.

    Main topics

    1. AIOps in 2026: Foundations and the Modern Stack
    2. Intelligent Observability: OpenTelemetry, Prometheus, Grafana
    3. Anomaly Detection and Intelligent Alerting
    4. AI-Assisted Log and Trace Analysis
    5. AI-Assisted Incident Response and On-Call
    6. Root Cause Analysis Assisted by AI
    7. AI in CI/CD Pipelines and Infrastructure as Code
    8. ChatOps, Runbook Automation, and Kubernetes Operations
  2. Edge AI and On-Device Intelligence Advanced 30 lessons ~25 hours 8 topics

    Master Edge AI in 2026: quantization, pruning, distillation, LiteRT, ONNX Runtime, Core ML, ExecuTorch, TinyML, NPUs, on-device SLMs, federated learning, OTA.

    Main topics

    1. Foundations: What Edge AI Is and Why It Matters in 2026
    2. Model Compression: Making Models Fit the Edge
    3. Edge AI Frameworks and Runtimes
    4. Mobile AI: iOS and Android
    5. TinyML and Microcontrollers
    6. NPUs, Accelerators, and Edge Hardware
    7. Small Language Models On-Device
    8. Privacy-First Design and Federated Learning
  3. MLOps: The Machine Learning Lifecycle in Production Advanced 30 lessons ~25 hours 8 topics

    Master MLOps end to end: experiment tracking, feature stores, training pipelines, model registry, CI/CD, serving, drift monitoring and retraining. 2026.

    Main topics

    1. MLOps Foundations and Maturity in 2026
    2. Experiment Tracking and Reproducibility
    3. Data and Feature Management
    4. Training Pipelines and Orchestration
    5. Model Registry, Versioning, and CI/CD for ML
    6. Model Serving and Deployment
    7. Monitoring, Drift, and Performance Decay
    8. Automated Retraining and Continuous Training

Deep Learning & AI Models

5 courses · 151 lessons · ~126 hours

Deep learning, computer vision and training AI models

  1. Deep Learning and Neural Networks with PyTorch Intermediate 30 lessons ~25 hours 8 topics

    Learn deep learning with PyTorch: tensors, autograd, backpropagation, CNNs, Transformers, attention, transfer learning, GPU training and ONNX. Hands-on 2026.

    Main topics

    1. Foundations: Why Deep Learning in 2026
    2. PyTorch Tensors and Autograd
    3. From Linear Regression to Neural Networks
    4. Backpropagation and Gradient Descent
    5. Loss Functions and Optimizers
    6. Training Loops, Datasets and DataLoaders
    7. Overfitting, Regularization and Normalization
    8. Convolutional Neural Networks for Images
  2. Computer Vision with AI: From Detection to Multimodal Understanding Advanced 31 lessons ~25 hours 8 topics

    Master modern computer vision: OpenCV, CNNs, detection (YOLO, DETR), segmentation, Vision Transformers, multimodal VLMs, OCR, tracking and deployment. 2026.

    Main topics

    1. Foundations of Computer Vision in 2026
    2. Image Preprocessing and Datasets with OpenCV
    3. Convolutional Neural Networks for Classification
    4. Object Detection
    5. Segmentation and Segment Anything
    6. Vision Transformers and Multimodal Models
    7. OCR, Documents, Faces, and the Law
    8. Video, Tracking, 3D, and Generative Vision
  3. Fine-Tuning and Customizing Open-Source LLMs: LoRA, QLoRA and Self-Hosting Advanced 30 lessons ~25 hours 8 topics

    Master fine-tuning of open-source LLMs: LoRA, QLoRA, datasets, DPO, quantization (GGUF/GPTQ/AWQ) and self-hosting with Ollama and vLLM. Advanced course, 2026.

    Main topics

    1. When to Fine-Tune: Foundations & Decision Framework
    2. Data: The Foundation of Fine-Tuning
    3. Parameter-Efficient Fine-Tuning (PEFT): LoRA
    4. QLoRA and Quantized Training
    5. The Fine-Tuning Toolchain
    6. Instruction Tuning & Alignment
    7. Evaluation and Quantization for Inference
    8. Self-Hosting and Serving
  4. Recommender Systems with AI: From Collaborative Filtering to Deep Learning Advanced 30 lessons ~25 hours 8 topics

    Master recommender systems with AI: collaborative filtering, matrix factorization, two-tower retrieval, transformers, LLMs, evaluation, GDPR and DSA.

    Main topics

    1. Foundations: Why Recommendation Matters in 2026
    2. Content-Based Filtering
    3. Collaborative Filtering
    4. Matrix Factorization
    5. Deep Learning Recommenders
    6. Sequential and Session-Based Recommendation
    7. Recommendation at Scale
    8. Cold Start and Evaluation
  5. Reinforcement Learning and RLHF: Training and Aligning AI Models Advanced 30 lessons ~25 hours 8 topics

    Master RL and RLHF in depth: MDPs, DQN, PPO, reward models, DPO, GRPO, RLVR, reward hacking and safety — hands-on with Gymnasium, SB3 and TRL.

    Main topics

    1. Foundations of Reinforcement Learning
    2. Exploration and Tabular Solution Methods
    3. Value-Based Deep Reinforcement Learning
    4. Policy Gradient Methods
    5. Proximal Policy Optimization
    6. From RL to RLHF: Aligning Language Models
    7. Beyond PPO: DPO, RLAIF, GRPO and Verifiable Rewards
    8. Reward Hacking, Alignment and Safety

Every course can also be bought separately: €99 per month, VAT included. The IT Pro plan (€399 per month) opens all 25 of them.

The Business track

What you will learn on the Business track: AI applied to your job, no code

For: Managers, directors, entrepreneurs, team leads

Courses for professionals without a technical background: AI for business, marketing and sales, productivity, HR, operations and finance. You work on scenarios from your job, without writing code, with text lessons, quizzes on the lessons and the AI Professor beside you.

courses
25
lessons
739
hours of content
~631
levels
Beginner → Intermediate

By the end you will be able to

  • Lead AI adoption in your team with change-management frameworks such as ADKAR and Kotter
  • Apply AI in sales, HR, finance, operations and customer support
  • Run discovery, roadmaps and project planning with AI, with humans in control
  • Understand GDPR and EU AI Act duties and set up internal AI governance

These are the skills you practise on the career path “AI for Management & Business”: 10 of the track’s 25 courses, put in order, in 3 stages. Actual results depend on the time you invest and on your previous experience.

The 25 Business courses, with their topics

Open a course to see its main topics.

  • Beginner6
  • Intermediate19

AI for Business

8 courses · 234 lessons · ~198 hours

AI strategy, compliance and delivery for leaders, entrepreneurs and consultants

  1. AI Data Privacy and EU AI Act Compliance for Professionals Intermediate 30 lessons ~25 hours 8 topics

    AI privacy and EU AI Act compliance for professionals: GDPR essentials, risk tiers, AI Act timeline, Article 50 transparency, DPIAs and AI governance. 2026.

    Main topics

    1. Why AI Privacy and Compliance Matter in 2026
    2. GDPR Foundations for AI
    3. Rights, Automated Decisions and DPIAs
    4. The EU AI Act: Structure and Timeline
    5. Prohibited and High-Risk AI
    6. Transparency, GPAI and AI Literacy
    7. Roles and Responsibilities
    8. Training Data, Copyright and International Transfers
  2. AI for Business Leaders Recommended Intermediate 24 lessons ~22 hours 8 topics

    Lead with AI: ROI, strategy, department playbooks, decision intelligence, EU AI Act governance and team management. Executive course updated for 2026.

    Main topics

    1. AI Fundamentals for Managers and Leaders
    2. AI Strategy and Implementation for Management
    3. Practical AI by Department: The Manager's Guide
    4. Decision-Making and Leadership with AI
    5. Risks, Ethics and Regulation for Leaders
    6. Managing Teams and Talent in the AI Era
    7. Measurement, Scaling and Strategic Planning
    8. Case Studies and Hands-On Projects
  3. AI for Coaches and Course Creators Intermediate 30 lessons ~25 hours 8 topics

    Use AI to grow your coaching or course business in 2026: niche, curriculum, client delivery, honest marketing, lead magnets, community — all ethically.

    Main topics

    1. AI as a Co-Creator: Mindset, Tools, and Your Authentic Voice
    2. Niche, Positioning, and Your Signature Offer
    3. Designing Curricula and Learning Outcomes
    4. Client Delivery: Intake, Sessions, and Staying in Your Lane
    5. Honest Content Marketing
    6. Lead Magnets, Audience Building, and Community
    7. Pricing, Packaging, and Ethical Launches
    8. Support, Systems, and Scaling Your Time
  4. AI for Consultants and Freelancers: Build a Solo AI-Powered Business Intermediate 30 lessons ~25 hours 8 topics

    Build an AI-powered consulting or freelance business in 2026: win clients, price on value, deliver faster and automate ops with confidentiality guardrails.

    Main topics

    1. The Solo AI Advantage in 2026
    2. Positioning and Personal Brand
    3. Finding and Winning Clients
    4. Pricing and Packaging Your Services
    5. Delivering Work Faster with AI
    6. No-Code Automations for a Solo Business
    7. Admin, Operations and Finance
    8. Content Marketing and Inbound Lead Generation
  5. AI for Entrepreneurs and Startups: The Complete Guide Recommended Intermediate 30 lessons ~28 hours 8 topics

    Build your startup with AI: idea validation, no-code MVP, go-to-market, unit economics, compliance, scaling and funding. Hands-on course for 2026.

    Main topics

    1. Fundamentals: AI-First Entrepreneurship
    2. Validation and Product-Market Fit with AI
    3. Product, Experience and Delivery with AI
    4. Go-To-Market and Growth with AI
    5. Finance, Operations and Efficiency with AI
    6. Risk, Legal and Governance with AI
    7. Scaling and Maturing
    8. Hands-On Tutorials: Entrepreneurial AI in Action
  6. AI for Project and Product Management Intermediate 30 lessons ~25 hours 8 topics

    AI for project and product management in 2026: discovery, PRDs, prioritization, roadmaps, user stories, estimation, risk and reports — with human oversight.

    Main topics

    1. AI in Project and Product Management: The 2026 Landscape
    2. Discovery and Customer Research with AI
    3. PRDs, Specs and Product Documentation with AI
    4. Prioritization and Roadmapping with AI
    5. User Stories and Backlog Grooming with AI
    6. Project Planning, Estimation and Risk with AI
    7. Communication, Status Reports and Stakeholders
    8. Agile Delivery with AI
  7. Manager in the AI Era: Leading Your Team Through the AI Transformation Intermediate 30 lessons ~24 hours 8 topics

    Lead your team through AI adoption with ADKAR and Kotter: psychology of resistance, trust building, pilots, champions and compliance. Updated for 2026.

    Main topics

    1. The Manager's New Role in the AI Era: From Control to Orchestration
    2. The Psychology of Adoption: Why Teams Resist and How You Address Fears
    3. The ADKAR Framework (Prosci) Applied to AI Adoption
    4. The Kotter 8-Step Framework: Leading Change at the Team Level
    5. Building Trust: Transparent Communication About AI's Impact
    6. Leading Practical Adoption: Pilots, Champions and Measuring Progress
    7. Middle Management as the Link: From C-Level Strategy to Execution
    8. AI Productivity for Your Team: Integrating Tools into the Daily Flow

AI in Marketing

7 courses · 205 lessons · ~185 hours

Digital marketing, content and sales with AI

  1. AI for Digital Marketing Recommended Beginner 31 lessons ~27 hours 8 topics

    Use AI across your marketing: content and SEO for AI Overviews, social media, email, paid ads and analytics. Hands-on English course, updated for 2026.

    Main topics

    1. Fundamentals of AI in Digital Marketing
    2. Content Generation and SEO with AI
    3. Social Media and Community with AI
    4. Email Marketing and Automation with AI
    5. Paid Ads and Performance Marketing with AI
    6. Analytics, Data and Personalisation with AI
    7. Video, Audio and Visual Marketing with AI
    8. Ethics, Regulation and an AI-First Strategy
  2. AI for Content Creation and Copywriting Recommended Intermediate 29 lessons ~29 hours 8 topics

    Create content with AI: copywriting, editorial strategy, social media, video, audio, brand voice, SEO and QA workflows. Hands-on course for 2025-2026.

    Main topics

    1. Content AI Fundamentals
    2. Editorial Strategy and Research with AI
    3. Text Production and Copywriting with AI
    4. Multi-Format: Social Media, Video and Audio with AI
    5. Quality, Brand Voice and Compliance
    6. Operations, KPIs and Scaling
    7. Hands-On Tutorials: Content AI in Action
    8. Content AI for Smaller European Markets
  3. AI for E-commerce and Retail Intermediate 30 lessons ~25 hours 8 topics

    AI for e-commerce and retail in 2026: listings, imagery, personalization, search, pricing, inventory, reviews and chatbots, with EU compliance built in.

    Main topics

    1. The AI E-commerce and Retail Landscape in 2026
    2. Product Content and Listings at Scale
    3. Product Photography and Visual Content with AI
    4. Personalization and Recommendations
    5. AI Site Search and Merchandising
    6. Pricing, Inventory, Demand and Retail Operations
    7. Conversational Commerce, Service and Email
    8. Reviews, UGC, Loyalty and Marketplaces
  4. AI for Sales and CRM Recommended Intermediate 28 lessons ~25 hours 8 topics

    Use AI across your sales process: predictive lead scoring, intelligent CRM, B2B prospecting, forecasting and team productivity. Hands-on course for 2026.

    Main topics

    1. Fundamentals of AI in Sales
    2. Intelligent CRM and Automation
    3. B2B Prospecting and Outreach with AI
    4. Advanced AI Sales Strategies
    5. AI for Sales Teams and Productivity
    6. AI Tech Stack and Integrations for Sales
    7. Ethics, Legislation and AI Compliance in Sales
    8. Implementation and Scaling
  5. AI Image Generation: The Complete Guide from Prompt to Publishing Recommended Intermediate 26 lessons ~27 hours 8 topics

    Generate images with AI: visual prompt engineering, Midjourney, Stable Diffusion, brand consistency, legal, ROI and hands-on tutorials. Updated for 2026.

    Main topics

    1. Fundamentals: AI Image Generation
    2. Advanced Prompting and Brand Consistency
    3. Production Workflows for Business
    4. Editing, Quality and Production at Scale
    5. Legal, Ethics and Safety
    6. ROI, Scaling and Adoption
    7. Hands-On Tutorials: AI Image Generation in Action
    8. AI Image Generation in Emerging European Markets and 2026 Trends
  6. AI Video Creation and Editing: From Script to Publish Recommended Intermediate 31 lessons ~26 hours 8 topics

    Learn AI video creation and editing in 2026: text-to-video (Runway, Veo, Kling, Sora), AI avatars, voice, editing tools and EU AI Act Article 50 disclosure.

    Main topics

    1. The AI Video Landscape in 2026
    2. Scriptwriting, Storyboarding and Pre-Production with AI
    3. Text-to-Video Generation
    4. Image-to-Video, Animation and AI Avatars
    5. AI Voice, Narration and Lip-Sync
    6. AI-Assisted Editing
    7. Upscaling, Restoration and Finishing
    8. Video for Social, YouTube and Ads
  7. SEO and AEO/GEO in the AI Era: Optimizing for Google, AI Overviews and Generative Engines Recommended Intermediate 30 lessons ~26 hours 8 topics

    Modern SEO plus AEO/GEO: rank in Google, appear in AI Overviews and get cited by ChatGPT, Perplexity and Gemini. Practitioner course updated for 2026.

    Main topics

    1. The 2026 SEO Landscape: From Classic SEO to AEO/GEO
    2. Durable Fundamentals That Do Not Age
    3. AI-Assisted Technical SEO
    4. Keyword and Intent Research at Scale with AI
    5. Content SEO: Topical Authority That Ranks
    6. AEO and GEO: Visibility in AI Overviews and Citations in Generative Engines
    7. Measuring AI Citations and Analytics in the Zero-Click Era
    8. Programmatic SEO and Responsible Scaling with AI

AI Productivity

6 courses · 180 lessons · ~148 hours

Personal and professional productivity with AI

  1. AI for Educators and Teachers Beginner 31 lessons ~25 hours 8 topics

    AI for teachers in 2026: plan lessons, build materials, differentiate, create quizzes and give feedback with AI — plus student-data privacy and the EU AI Act.

    Main topics

    1. AI in Education: The 2026 Landscape
    2. Lesson Planning and Curriculum with AI
    3. Creating Teaching Materials and Resources
    4. Differentiation and Personalized Learning
    5. Assessment, Feedback and Grading
    6. Inclusive Education and Special Needs
    7. Teaching AI Literacy to Students
    8. Academic Integrity and Communication
  2. AI for Your Job Search and Career Growth Recommended Beginner 30 lessons ~25 hours 8 topics

    Use AI for your 2026 job search: ATS-friendly resume, cover letters, LinkedIn, interview prep, salary negotiation, networking and upskilling — honestly.

    Main topics

    1. AI for Your Career in 2026: Mindset and Integrity
    2. Career Clarity and Honest Self-Assessment
    3. Your Resume, Optimized with AI and ATS-Friendly
    4. Cover Letters and Written Applications
    5. LinkedIn and Personal Branding
    6. Company Research and Interview Preparation
    7. Salary Negotiation
    8. Networking, Follow-Up, and Managing Your Search
  3. Microsoft 365 Copilot for Office Work: Role-Based Productivity Beginner 32 lessons ~24 hours 8 topics

    Turn Word, Excel, Outlook, Teams and PowerPoint into real AI assistants: role-based Copilot workflows, prompts, licensing and GDPR compliance.

    Main topics

    1. Copilot Fundamentals: What It Is, How It Works with Your Data and License Types
    2. The Art of the Prompt in Copilot: Durable Patterns That Work in Every App
    3. Copilot in Word: Drafting, Summarizing, Rewriting and Structuring Long Documents
    4. Copilot in Excel: Analysis, Natural-Language Formulas, Insights, Pivots and Agent Mode
    5. Copilot in Outlook: Inbox Management, Email Thread Summaries and Drafting
    6. Copilot in Teams: Meeting Summaries, Action Items and Context Recovery
    7. Copilot in PowerPoint: Generating and Restructuring Presentations from Existing Content
    8. Role-Based Productivity: Concrete Workflows for Sales, Marketing, Finance, HR and Operations
  4. No-Code Data Analysis with AI: ChatGPT, Excel and SQL for Non-Programmers Beginner 27 lessons ~24 hours 8 topics

    Analyze data with conversational AI — ChatGPT, Excel COPILOT() and text-to-SQL for non-programmers, with output verification and GDPR compliance.

    Main topics

    1. Fundamentals: What AI Can and Cannot Do with Your Data
    2. ChatGPT Advanced Data Analysis: Upload, Cleaning, Statistics and Charts
    3. From Business Question to Insight: Formulating Requests on Tabular Data
    4. Copilot in Excel: The COPILOT() Function, Natural-Language Formulas and Pivots
    5. The Accessible Alternative: Excel Analysis Directly in ChatGPT (No Copilot License)
    6. Introduction to Text-to-SQL for Non-Programmers
    7. Verifying AI Output: How to Catch Invented Columns and Wrong Calculations
    8. Confidentiality and Compliance: What Data NOT to Put in Cloud Tools
  5. The AI Productivity Masterclass for Knowledge Workers Recommended Beginner 30 lessons ~25 hours 8 topics

    Vendor-agnostic AI productivity course for knowledge workers: prompting, email, reports, research, meetings, automations and privacy. Beginner-friendly, 2026.

    Main topics

    1. The AI Mindset for Knowledge Workers
    2. Choosing the Right Tool: ChatGPT vs Claude vs Gemini
    3. Practical Prompting for Non-Technical People
    4. Email & Everyday Communication
    5. Documents, Reports & Summarization
    6. Research & Synthesis (with Source Verification)
    7. Meetings, Notes, Tasks & Problem-Solving
    8. Automations, Second Brain & Sustainable Habits
  6. AI for Research and Academia Intermediate 30 lessons ~25 hours 8 topics

    Use AI ethically across research in 2026: literature synthesis, academic writing, grants, references and peer review, with integrity and verified citations.

    Main topics

    1. AI in the Research Lifecycle: Mindset and Integrity
    2. Literature Discovery and Search
    3. Reading, Summarizing, and Synthesizing
    4. Citations, References, and the Hallucination Problem
    5. Research Questions, Design, and Brainstorming
    6. Academic Writing and Structuring Papers
    7. Grants, Proposals, and Funding
    8. Data Analysis Help and Coding (Conceptual)

AI in HR & Management

1 course · 30 lessons · ~25 hours

Recruiting, onboarding and learning & development with AI

  1. AI for HR: Recruiting, Onboarding and L&D — Done Compliantly Intermediate 30 lessons ~25 hours 8 topics

    AI for HR done compliantly: recruiting, onboarding, L&D, people analytics and HR chatbots with human oversight, EU AI Act (Annex III) and GDPR. 2026.

    Main topics

    1. The AI and HR Landscape in 2026
    2. EU AI Act and Compliant HR AI
    3. AI-Assisted Sourcing and Screening
    4. Writing Job Descriptions and Outreach with AI
    5. Interviews and Evaluation: Where AI Helps vs Where It Must Not Decide
    6. Automating Onboarding with AI
    7. Personalized L&D and Upskilling with AI
    8. HR Analytics and People Insights

AI in Operations & Finance

3 courses · 90 lessons · ~75 hours

Operations, supply chain, finance and customer support with AI

  1. AI for Customer Support and Service Intermediate 30 lessons ~25 hours 8 topics

    AI for customer support done right: ticket deflection, chatbots, RAG knowledge bases, agent copilot and QA — with human escalation, EU AI Act and GDPR. 2026.

    Main topics

    1. The AI and Customer Support Landscape in 2026
    2. Ticket Deflection and Self-Service
    3. Chatbots and AI Agents for Support
    4. Knowledge Base and RAG for Support
    5. AI Copilot for Human Agents
    6. Email and Ticket Triage and Routing
    7. Voice and Phone Support with AI
    8. Sentiment, Quality Assurance, and Measurement
  2. AI for Finance and Accounting Professionals Intermediate 30 lessons ~25 hours 8 topics

    AI for finance and accounting in 2026: automate reporting, analysis, forecasting, reconciliation, AP/AR and documents — every number human-verified.

    Main topics

    1. AI in Finance and Accounting: The 2026 Landscape
    2. Automating Financial Reporting
    3. Analyzing and Interpreting Financial Data with AI
    4. Forecasting and Budgeting, Assisted
    5. Reconciliation and AP/AR Automation
    6. Expense Management and Document Processing
    7. Audit Support and Anomaly Detection
    8. FP&A and Spreadsheets with AI
  3. AI for Operations and Supply Chain Intermediate 30 lessons ~25 hours 8 topics

    AI for operations and supply chain: demand forecasting, inventory, logistics, predictive maintenance, RPA and S&OP, with real tools and governance. 2026.

    Main topics

    1. AI in Operations and Supply Chain in 2026
    2. Demand Forecasting and Planning
    3. Inventory Optimization
    4. Procurement and Supplier Management
    5. Logistics, Route Optimization and Fulfillment
    6. Production, Quality and Maintenance
    7. Supply Chain Visibility and Risk Management
    8. Process Automation and Integrated Planning

Every course can also be bought separately: €99 per month, VAT included. The Business plan (€299 per month) opens all 25 of them.

What a course looks like, on the inside

The same structure across the whole catalog: modules, text lessons with applied examples, quizzes on the lessons, the AI Professor beside you and, at the end, the Certificate of Completion.

The structure

Modules and lessons, with the whole outline in view

Each course is split into modules, and each module into text lessons, with applied examples. The course page lists every module and lesson, with its duration, so you know what you are buying. On average, a course has ~25 hours of content, ~29 lessons and ~354 quiz questions.

  • Quizzes on the lessons: you have 5 attempts at every quiz, and your account keeps the best score.
  • Free preview: the beginning of the first lesson of any course can be read before you pay, without an account.
  • At your own pace: you mark the lesson as finished yourself, and your progress stays in your account, on any device.
Screenshot from the app demo: the outline of a course, “AI for Business Leaders” (10 modules · 24 lessons · ~22 hours).

The lesson

You learn from the lesson, with the AI Professor beside you

The AI Professor receives the lesson you have open: you select a passage and the explanation appears next to it, or you ask it for the summary, a quiz of 3, 5 or 10 questions and flashcards. You write to it or you speak to it.

  • Notes and saved lessons: you write your notes next to the text and keep the lessons you want to come back to.
  • Review: the cards made from the lesson come back at growing intervals, so what you learned stays.
  • Scores and activity: the average for each course, your weekly goal and your day streak.
Screenshot from the app demo: the professor explains a passage selected in the lesson. The answer in the image was prepared in advance, for the demo; with a subscription, the AI Professor’s answers are generated by an artificial intelligence system and may contain errors.

At the end

You finish each course with the Certificate of Completion

Once you have finished every lesson of a course and have an average of at least 70% on its quizzes, you issue the certificate yourself, from your account. It is included in every plan and in per-course access, at no extra cost.

  • Three tiers, by your quiz average: Pass, Merit (from 80%) and Distinction (from 90%).
  • Public verification: anyone who opens the link or scans the QR code sees the status and the results. Your name appears only if you choose so.
  • PDF, LinkedIn and CV: you download the document or add it to your profile.
Example of a Cursuri AI Certificate of Completion with sample data: the serial number and the issue date in the top-right corner, the holder’s name, the course, the tier awarded, the percentage of lessons, the average score, the study time, the course version, the issuer and the verification QR code
The real document, an A4 PDF, shown here with sample data: the name, the course and the serial number are placeholders, and the QR code in the image is decorative.

Which plan opens your courses

All prices include VAT. The AI Professor and the Certificate of Completion are included in every plan and in per-course access.

  • Business25 of the 50 courses: AI for Business, AI in Marketing, AI Productivity, AI in HR & Management, AI in Operations & Finance
  • IT Pro25 of the 50 courses: AI Engineering, AI for Developers, MLOps & Deployment, Deep Learning & AI Models
  • All AccessAll 50 courses, on both tracks, and all the learning paths

One course

When you care about a single topic in the catalog

€ 99 per month, VAT included No commitment: stop the renewal anytime

about €4 per hour of course

1 course, your choice of 50 25 hours on average
  • All the course’s lessons, exercises and quizzes, about 354 questions per course on average
  • AI Professor in the lessons, included in your subscription
  • Publicly verifiable Certificate of Completion

Business

Marketing, sales, HR, finance, management, legal. No programming.

€ 299 per month, VAT included Billed monthly: stop the renewal anytime

€12 per month for each of the 25 courses

25 Business courses 25 hours per course on average
  • AI for business, marketing and content, sales and CRM, HR, finance, operations, productivity with Copilot
  • Exercises built on real work scenarios, no code
  • AI Professor in every lesson, quizzes and a certificate for every course

IT Pro

Developers, data engineers, architects. Code and production.

€ 399 per month, VAT included Billed monthly: stop the renewal anytime

€16 per month for each of the 25 courses

25 IT Pro courses 25 hours per course on average
  • Prompt engineering, LLMs, RAG, AI agents and MCP, Claude Code and Cursor, computer vision, MLOps, AI security
  • Hands-on projects with production examples
  • AI Professor in every lesson, quizzes and a certificate for every course

All Access

Best value

The whole catalog, both tracks side by side.

€ 499 per month, VAT included Billed monthly: stop the renewal anytime

€10 per month for each of the 50 courses

All 50 courses about 1,257 hours
  • You save €199 a month compared with the two bundles bought separately
  • Learning paths for both profiles
  • AI Professor in every lesson, quizzes and a certificate for every course

Subscriptions renew automatically; you can stop the renewal anytime from your account, and access stays until the end of the period already paid for. As digital content with immediate access, see the withdrawal conditions.

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A course bought separately does not open the learning paths in your account. Compare all the plans, including the ones for teams · Give a month of access as a gift

Have a team? The same courses, administered in one place

Accounts for your employees, team progress tracking, reports for management and invoices issued to the company.

See the offer for companies
Frequently asked questions

Before you start

Do I need technical knowledge to get started?

No. The Business track is built for professionals without a technical background: managers, marketers, legal professionals, HR, finance, entrepreneurs. You learn to apply AI in your job without writing code.

The IT Pro track is for developers, engineers and software architects: it goes in depth, with code, LLM integration, AI agents, MLOps and security. The level of each course is written next to its title.

Which course do I start with?

You do not have to guess. Each course shows its level and main topics, and the preview of the first lesson shows you how it is written. If you want a recommended order, a learning path arranges a track’s courses into stages; on the two career paths, the level assessment in your account, which costs nothing, shows you where you start.

A path is a guide, not a constraint: you can open any course you have access to, at any time. The paths in your account come with the track’s bundle, not with a course bought separately.

What is the AI Professor and how does it help me?

An AI assistant built into every lesson, included in every plan and in per-course access, with a fair-use limit. It receives the lesson you are reading: you select a passage and it explains it, or you ask it for the lesson summary, a quiz of 3, 5 or 10 questions and flashcards. You type or talk to it, without leaving the lesson.

It is an artificial intelligence system, not a human teacher, and its answers may contain errors. Check official sources before professional decisions. Details in the Terms & Conditions, section 10.1.

Which plan opens which courses?

All prices include VAT, and every option includes the AI Professor, the quizzes and the Certificate of Completion:

  • Individual Course, €99 per month: the course you pick
  • Business, €299 per month: all the courses in the Business track and its paths
  • IT Pro, €399 per month: all the courses in the IT Pro track and its paths
  • All Access, €499 per month: the whole catalog, both tracks

The IT Pro plan does not open the Business courses, and vice versa. All plans are billed monthly, in EUR. Compare the plans, including those for teams.

Can I stop? Are payments refunded?

You can unsubscribe at any time, at no cost, from your account. Unsubscribing stops the automatic renewal, and access stays active until the end of the period already paid for; your progress and results stay in your account.

Digital content becomes accessible right after payment, with your express consent, so the amount is not refunded for a change of mind (Article 16(m) of Directive 2011/83/EU, transposed in Romania by OUG 34/2014). We refund, as required by law, in the case of an unremedied lack of conformity. Before any payment you can read the beginning of the first lesson of any course, without an account. Details in the Terms & Conditions.

Do I get a certificate at the end?

Yes, for every course. When you have finished all the lessons of a course and have an average of at least 70% on its quizzes, you issue the Certificate of Completion yourself, from your account: you confirm the conditions in the Certification policy and choose whether your name appears publicly. It costs nothing extra and has a unique number, a QR code and a public verification link.

It is a private attestation of course completion. It is NOT a diploma or a state-recognised qualification under Romanian Laws 198/2023, 199/2023 or Government Ordinance 129/2000; employers may take it into account at their own discretion. Certification policy.

You do not buy on trust: you can read a free preview of the first lesson, without an account, before you pay. After payment, access to the digital content starts immediately, with your express consent, and the price is not refunded for a change of mind (art. 16(m) of Romanian Government Emergency Ordinance no. 34/2014). We do refund, as required by law, in the event of an unremedied lack of conformity. Details in the Terms & Conditions.

Creating an account is free

Choose your track and start today

A single course costs €99 per month. The Business track opens with €299 per month, IT Pro with €399, and the whole catalog of 50 courses with €499 per month, VAT included.

Immediate access after payment AI Professor included Stop the renewal anytime from your account

ChatGPT, OpenAI, Claude, Anthropic, Gemini, Google, Microsoft 365 Copilot, Cursor, Midjourney and the other product and company names mentioned are trademarks or trade names of their respective owners. Cursuri-AI.ro is an independent training provider and is not affiliated with, sponsored by or endorsed by any of them.

Not sure which plan fits you?

Pick the line that describes you. Its plan and price are right next to it.

All prices include VAT. Billing is monthly and you can stop the renewal anytime from your account.

In every plan
  • Interactive lessons with exercises and quizzes
  • The AI Professor inside every lesson
  • Certificate of Completion

The plans guide, by email

What each plan includes, who it is for and the prices, VAT included.

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