Education and Training

InnovIA labs

At Innovia Labs, we are passionate about education and knowledge sharing. Our expert-led training programs are designed to equip professionals with the skills and insights needed to excel in the AI domain.

From introductory courses to advanced workshops, we provide a comprehensive learning experience that fosters a deep understanding of AI technologies.

Entry Level

• What is Artificial Intelligence?
Definition and history of AI

• Difference between AI, Machine Learning,
and Deep Learning

• Types of AI
(ANI - Narrow AI, AGI)

• AI Applications in Daily Life
Voice assistants, recommendation engines, chatbots

• Basics of Logic and Algorithms
(if-else, regression, decision trees)

• Introduction to Data
Datasets, data collection, and cleaning

• Introduction to Machine Learning Algorithms
Linear Regression, Basic Classification

• Programming Languages for AI
Python, libraries: Scikit-learn and TensorFlow

• Ethics and AI
Bias in models, societal impact

Mid level

• Types of Machine Learning
(Supervised, Unsupervised, Reinforcement Learning)

• Data Preprocessing
(Feature Engineering, Normalization, One-hot Encoding)

• More Advanced ML Models
(Random Forest, SVM, Gradient Boosting)

• Fundamentals of Deep Learning
(Artificial Neural Networks,
activation functions, backpropagation)

• Introduction to Convolutional Neural Networks (CNNs)
(Used for images)

• Model Evaluation Metrics
(Accuracy, Precision, Recall, F1-score, AUC-ROC)

• Overfitting and Underfitting
(Regularization, Dropout, Early Stopping)

• AI Tools and Platforms
(Google Colab, Jupyter Notebook, AutoML)

Top rated

Advanced

• Advanced Neural Network Architectures
(Transformers, Vision Transformers
ViT, Graph Neural Networks)

• Advanced Generative AI Models
(Stable Diffusion, GPT, DALL·E, StyleGAN)

• Deep Reinforcement Learning
(DQN, PPO, A3C)

• Transfer Learning and Fine-Tuning
(BERT, ResNet, GPT-4 tuning)

• Advanced Computer Vision
(Segmentation, Object Detection - YOLO, Mask R-CNN)

• Advanced Natural Language Processing (NLP)
(LLMs, Word Embeddings, Attention Mechanism)

• Edge AI and AI on Mobile Devices
(TensorFlow Lite, ONNX)

• AI Ethics and Fairness
(Bias Mitigation, AI Transparency, Privacy AI)

• Model Optimization
(Quantization, Pruning, Knowledge Distillation)

Why Train With Us?

Business + Technical Expertise: We speak the language of business and code.
Practical Focus: All our programs are built around real-life case studies, tools, and workflows.
Vendor-Agnostic Approach: We teach principles, not platforms.
Global-Ready: Content available in English or Italian, with multilingual support if needed.
Long-Term Value: Training is designed to spark pilots, improve collaboration, and inform AI strategy.

Empower Your Teams to Drive AI Adoption

From awareness to deployment, our AI Training Programs help you create a workforce that is prepared, capable, and confident to lead AI transformation.

Contact us to schedule a learning needs assessment or to build a tailored training plan for your teams.