Episode 1: What are we talking about

Episode 1 sets the stage by introducing the foundational concepts of Artificial Intelligence, Machine Learning, and Deep Learning. Explore the significant components such as neural networks, natural language processing, and computer vision, which are crucial to understanding AI’s capabilities. This content is available in English, Spanish, Italian, and French.

Episode 2: The early years of AI and first algorithms

Episode 2 takes us back to the early days of AI, focusing on the first algorithms and machines that shaped the future of technology. Delve into the stories of the Bombe machine, Unimate, the Turing Test, and the inception of terms and concepts that have become central to AI. This content is available in English, Spanish, Italian, and French.

Episode 3: After cold days, spring comes back

Episode 3 explores the challenges and setbacks in AI development during the periods known as the 'AI winters.' Learn about the resurgence through advancements in hardware, software, and specialized applications, and witness the birth of influential projects like Kismet and Deep Blue. This content is available in English, Spanish, Italian, and French.

Episode 4: In the modern days

Episode 4 brings us into the modern era of AI, highlighting the exponential growth and integration of AI technologies in everyday life. From regulation and ethical considerations to breakthroughs in deep learning and the Internet of Things, understand how AI is reshaping our world. This content is available in English, Spanish, Italian, and French.

Episode 1: An AI project overview

In Episode 1 we discover the essentials of an AI project—from data preprocessing and dataset splitting (train, validation, test) to supervised, unsupervised and reinforcement learning methods. This content is available in English, Spanish, Italian, and French.

Episode 2: Convolutional neural networks

In Episode 2 we discover the power of Convolutional Neural Networks (CNNs) in this focused deep-dive video. We’ll cover how CNNs process and learn from image data through convolutional and pooling layers, explore key architectural choices, and discuss best practices for training, hyperparameter tuning, and performance evaluation. See real-world applications in medical imaging, computer vision, and beyond. This content is available in English, Spanish, Italian, and French.

Episode 3: Recurrent neural networks

In Episode 3 we discover the strengths of Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) models in this targeted deep-dive video. We’ll explain how RNNs capture temporal dependencies in sequential data, explore LSTM’s gating mechanisms for handling long-term context, and share best practices for training, hyperparameter tuning, and evaluating performance. See applications in time series forecasting, natural language processing, and healthcare analytics. This content is available in English, Spanish, Italian, and French.

Episode 4: Transformers

In Episode 4 we discover the revolutionary Transformer architecture in this focused deep-dive video. Learn how self-attention mechanisms enable parallel sequence processing, explore positional encoding, and uncover best practices for pretraining, fine-tuning, and evaluating transformer models. See real-world applications in NLP, medical diagnostics, and beyond. This content is available in English, Spanish, Italian, and French.